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Update results csvs with latest run

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pull/268/head
Ross Wightman 4 years ago
parent 736f209e7d
commit da1b90e5c9
8 changed files with 1033 additions and 865 deletions
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results/results-imagenet-a-clean.csv
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@ -10,10 +10,12 @@ swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear
tf_efficientnet_b7_ap,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic
tf_efficientnet_b8,97.200,2.800,99.500,0.500,87.41,672,0.954,bicubic
tf_efficientnet_b8_ap,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic
vit_large_patch16_384,97.110,2.890,99.640,0.360,304.72,384,1.000,bicubic
tf_efficientnet_b6_ap,97.080,2.920,99.620,0.380,43.04,528,0.942,bicubic
tf_efficientnet_b7,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic
tf_efficientnet_b4_ns,96.950,3.050,99.580,0.420,19.34,380,0.922,bicubic
ig_resnext101_32x16d,96.820,3.180,99.590,0.410,194.03,224,0.875,bilinear
vit_base_patch16_384,96.700,3.300,99.510,0.490,86.86,384,1.000,bicubic
tf_efficientnet_b5_ap,96.680,3.320,99.460,0.540,30.39,456,0.934,bicubic
tf_efficientnet_b6,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic
resnest200e,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic
@ -29,22 +31,28 @@ tf_efficientnet_b4,95.900,4.100,99.170,0.830,19.34,380,0.922,bicubic
swsl_resnext50_32x4d,95.870,4.130,99.250,0.750,25.03,224,0.875,bilinear
resnest101e,95.860,4.140,99.210,0.790,48.28,256,0.875,bilinear
tresnet_l_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear
vit_large_patch32_384,95.830,4.170,99.150,0.850,306.63,384,1.000,bicubic
vit_base_patch32_384,95.810,4.190,99.150,0.850,88.30,384,1.000,bicubic
ssl_resnext101_32x16d,95.800,4.200,99.180,0.820,194.03,224,0.875,bilinear
tf_efficientnet_b2_ns,95.770,4.230,99.120,0.880,9.11,260,0.890,bicubic
efficientnet_b3a,95.710,4.290,99.040,0.960,12.23,320,1.000,bicubic
pnasnet5large,95.710,4.290,98.920,1.080,86.06,331,0.911,bicubic
nasnetalarge,95.680,4.320,98.930,1.070,88.75,331,0.911,bicubic
efficientnet_b3,95.580,4.420,99.100,0.900,12.23,300,0.904,bicubic
ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic
ssl_resnext101_32x8d,95.470,4.530,99.110,0.890,88.79,224,0.875,bilinear
ssl_resnext101_32x4d,95.440,4.560,99.130,0.870,44.18,224,0.875,bilinear
tresnet_xl,95.440,4.560,99.050,0.950,78.44,224,0.875,bilinear
swsl_resnet50,95.410,4.590,99.290,0.710,25.56,224,0.875,bilinear
regnety_032,95.360,4.640,99.080,0.920,19.44,224,0.875,bicubic
tf_efficientnet_b3_ap,95.320,4.680,98.900,1.100,12.23,300,0.904,bicubic
tresnet_l,95.290,4.710,99.010,0.990,55.99,224,0.875,bilinear
efficientnet_b3a,95.260,4.740,98.930,1.070,12.23,320,1.000,bicubic
tf_efficientnet_b1_ns,95.170,4.830,99.110,0.890,7.79,240,0.882,bicubic
wide_resnet50_2,95.080,4.920,98.970,1.030,68.88,224,0.875,bicubic
ecaresnet101d_pruned,95.080,4.920,98.980,1.020,24.88,224,0.875,bicubic
efficientnet_b3,95.080,4.920,98.980,1.020,12.23,300,0.904,bicubic
legacy_senet154,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear
gluon_resnet152_v1s,95.040,4.960,98.930,1.070,60.32,224,0.875,bicubic
seresnext50_32x4d,95.040,4.960,98.880,1.120,27.56,224,0.875,bicubic
tf_efficientnet_b3,95.010,4.990,98.910,1.090,12.23,300,0.904,bicubic
tresnet_m_448,94.990,5.010,98.980,1.020,31.39,448,0.875,bilinear
resnest50d_4s2x40d,94.960,5.040,99.070,0.930,30.42,224,0.875,bicubic
@ -72,23 +80,25 @@ inception_resnet_v2,94.540,5.460,98.790,1.210,55.84,299,0.897,bicubic
regnety_320,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic
gluon_resnext101_32x4d,94.530,5.470,98.630,1.370,44.18,224,0.875,bicubic
tf_efficientnet_b2_ap,94.490,5.510,98.620,1.380,9.11,260,0.890,bicubic
regnety_120,94.480,5.520,98.810,1.190,51.82,224,0.875,bicubic
rexnet_150,94.480,5.520,98.790,1.210,9.73,224,0.875,bicubic
regnety_120,94.480,5.520,98.810,1.190,51.82,224,0.875,bicubic
cspresnext50,94.480,5.520,98.680,1.320,20.57,224,0.875,bilinear
regnetx_320,94.460,5.540,98.740,1.260,107.81,224,0.875,bicubic
ssl_resnet50,94.450,5.550,98.920,1.080,25.56,224,0.875,bilinear
inception_v4,94.380,5.620,98.580,1.420,42.68,299,0.875,bicubic
legacy_seresnext101_32x4d,94.370,5.630,98.650,1.350,48.96,224,0.875,bilinear
tf_efficientnet_b2,94.360,5.640,98.610,1.390,9.11,260,0.890,bicubic
gluon_seresnext50_32x4d,94.340,5.660,98.610,1.390,27.56,224,0.875,bicubic
regnety_160,94.340,5.660,98.850,1.150,83.59,224,0.875,bicubic
gluon_seresnext50_32x4d,94.340,5.660,98.610,1.390,27.56,224,0.875,bicubic
dpn107,94.310,5.690,98.480,1.520,86.92,224,0.875,bicubic
xception71,94.280,5.720,98.640,1.360,42.34,299,0.903,bicubic
gluon_xception65,94.260,5.740,98.570,1.430,39.92,299,0.903,bicubic
resnet50d,94.260,5.740,98.720,1.280,25.58,224,0.875,bicubic
skresnext50_32x4d,94.260,5.740,98.460,1.540,27.48,224,0.875,bicubic
regnetx_120,94.240,5.760,98.650,1.350,46.11,224,0.875,bicubic
dpn92,94.230,5.770,98.730,1.270,37.67,224,0.875,bicubic
ecaresnet50d_pruned,94.220,5.780,98.730,1.270,19.94,224,0.875,bicubic
gluon_resnet101_v1d,94.220,5.780,98.550,1.450,44.57,224,0.875,bicubic
ecaresnet50d_pruned,94.220,5.780,98.730,1.270,19.94,224,0.875,bicubic
tf_efficientnet_lite3,94.200,5.800,98.640,1.360,8.20,300,0.904,bilinear
mixnet_xl,94.190,5.810,98.340,1.660,11.90,224,0.875,bicubic
resnext50d_32x4d,94.180,5.820,98.570,1.430,25.05,224,0.875,bicubic
@ -112,13 +122,17 @@ tf_efficientnet_cc_b1_8e,93.900,6.100,98.260,1.740,39.72,240,0.882,bicubic
regnetx_064,93.890,6.110,98.630,1.370,26.21,224,0.875,bicubic
regnetx_080,93.870,6.130,98.520,1.480,39.57,224,0.875,bicubic
regnety_040,93.860,6.140,98.650,1.350,20.65,224,0.875,bicubic
efficientnet_em,93.840,6.160,98.810,1.190,6.90,240,0.882,bicubic
resnext101_32x8d,93.830,6.170,98.580,1.420,88.79,224,0.875,bilinear
gluon_resnext50_32x4d,93.810,6.190,98.410,1.590,25.03,224,0.875,bicubic
resnet50,93.810,6.190,98.390,1.610,25.56,224,0.875,bicubic
vit_base_patch16_224,93.800,6.200,98.470,1.530,86.54,224,0.900,bicubic
gluon_resnet50_v1d,93.770,6.230,98.390,1.610,25.58,224,0.875,bicubic
xception65,93.760,6.240,98.370,1.630,39.92,299,0.903,bicubic
gluon_resnet101_v1b,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic
res2net101_26w_4s,93.750,6.250,98.310,1.690,45.21,224,0.875,bilinear
gluon_resnet101_v1b,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic
cspresnet50,93.740,6.260,98.640,1.360,21.62,256,0.887,bilinear
legacy_seresnext50_32x4d,93.730,6.270,98.580,1.420,27.56,224,0.875,bilinear
wide_resnet101_2,93.720,6.280,98.540,1.460,126.89,224,0.875,bilinear
dpn68b,93.690,6.310,98.510,1.490,12.61,224,0.875,bicubic
tf_efficientnet_b1_ap,93.690,6.310,98.360,1.640,7.79,240,0.882,bicubic
@ -133,23 +147,23 @@ dla102x,93.520,6.480,98.510,1.490,26.31,224,0.875,bilinear
tf_efficientnet_b1,93.500,6.500,98.360,1.640,7.79,240,0.882,bicubic
hrnet_w40,93.490,6.510,98.580,1.420,57.56,224,0.875,bilinear
tf_efficientnet_em,93.480,6.520,98.440,1.560,6.90,240,0.882,bicubic
gluon_inception_v3,93.460,6.540,98.570,1.430,23.83,299,0.875,bicubic
xception,93.460,6.540,98.530,1.470,22.86,299,0.897,bicubic
gluon_inception_v3,93.460,6.540,98.570,1.430,23.83,299,0.875,bicubic
mixnet_l,93.450,6.550,98.220,1.780,7.33,224,0.875,bicubic
xception41,93.430,6.570,98.430,1.570,26.97,299,0.903,bicubic
res2net50_26w_6s,93.410,6.590,98.280,1.720,37.05,224,0.875,bilinear
regnety_032,93.390,6.610,98.640,1.360,19.44,224,0.875,bicubic
legacy_seresnet152,93.400,6.600,98.350,1.650,66.82,224,0.875,bilinear
dla169,93.340,6.660,98.600,1.400,53.39,224,0.875,bilinear
resnest26d,93.330,6.670,98.630,1.370,17.07,224,0.875,bilinear
tf_inception_v3,93.320,6.680,98.030,1.970,23.83,299,0.875,bicubic
tf_mixnet_l,93.310,6.690,98.030,1.970,7.33,224,0.875,bicubic
resnet152,93.300,6.700,98.390,1.610,60.19,224,0.875,bilinear
selecsls60b,93.300,6.700,98.280,1.720,32.77,224,0.875,bicubic
tv_resnet152,93.300,6.700,98.390,1.610,60.19,224,0.875,bilinear
legacy_seresnet101,93.280,6.720,98.510,1.490,49.33,224,0.875,bilinear
efficientnet_b1,93.260,6.740,98.170,1.830,7.79,240,0.875,bicubic
hrnet_w30,93.200,6.800,98.410,1.590,37.71,224,0.875,bilinear
dla60_res2net,93.180,6.820,98.420,1.580,20.85,224,0.875,bilinear
dla60_res2next,93.180,6.820,98.410,1.590,17.03,224,0.875,bilinear
wide_resnet50_2,93.170,6.830,98.350,1.650,68.88,224,0.875,bilinear
dla60_res2net,93.180,6.820,98.420,1.580,20.85,224,0.875,bilinear
efficientnet_es,93.140,6.860,98.420,1.580,5.44,224,0.875,bicubic
dla60x,93.120,6.880,98.510,1.490,17.35,224,0.875,bilinear
regnetx_032,93.120,6.880,98.390,1.610,15.30,224,0.875,bicubic
@ -159,26 +173,30 @@ gluon_resnet50_v1c,93.030,6.970,98.390,1.610,25.58,224,0.875,bicubic
regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic
rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic
selecsls60,93.030,6.970,98.300,1.700,30.67,224,0.875,bicubic
legacy_seresnet50,92.960,7.040,98.190,1.810,28.09,224,0.875,bilinear
adv_inception_v3,92.880,7.120,98.140,1.860,23.83,299,0.875,bicubic
res2next50,92.840,7.160,98.180,1.820,24.67,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.830,7.170,98.180,1.820,24.01,224,0.875,bicubic
seresnext26tn_32x4d,92.820,7.180,98.370,1.630,16.81,224,0.875,bicubic
resnet101,92.810,7.190,98.250,1.750,44.55,224,0.875,bilinear
tv_resnet101,92.810,7.190,98.250,1.750,44.55,224,0.875,bilinear
efficientnet_b1_pruned,92.770,7.230,98.040,1.960,6.33,240,0.882,bicubic
vit_small_patch16_224,92.760,7.240,97.930,2.070,48.75,224,0.900,bicubic
densenet201,92.750,7.250,98.230,1.770,20.01,224,0.875,bicubic
res2net50_14w_8s,92.740,7.260,98.180,1.820,25.06,224,0.875,bilinear
tv_resnext50_32x4d,92.740,7.260,98.270,1.730,25.03,224,0.875,bilinear
inception_v3,92.720,7.280,97.970,2.030,23.83,299,0.875,bicubic
seresnext26d_32x4d,92.700,7.300,98.150,1.850,16.81,224,0.875,bicubic
efficientnet_b0,92.690,7.310,98.070,1.930,5.29,224,0.875,bicubic
resnet34d,92.680,7.320,98.310,1.690,21.82,224,0.875,bicubic
tf_efficientnet_lite2,92.650,7.350,98.230,1.770,6.09,260,0.890,bicubic
legacy_seresnext26_32x4d,92.640,7.360,98.130,1.870,16.79,224,0.875,bicubic
tf_efficientnet_lite1,92.620,7.380,98.080,1.920,5.42,240,0.882,bicubic
tf_efficientnet_cc_b0_4e,92.590,7.410,98.080,1.920,13.31,224,0.875,bicubic
res2net50_48w_2s,92.550,7.450,98.080,1.920,25.29,224,0.875,bilinear
tf_efficientnet_es,92.550,7.450,98.280,1.720,5.44,224,0.875,bicubic
gluon_resnet50_v1b,92.540,7.460,98.170,1.830,25.56,224,0.875,bicubic
densenet161,92.500,7.500,98.290,1.710,28.68,224,0.875,bicubic
res2net50_26w_4s,92.500,7.500,98.060,1.940,25.70,224,0.875,bilinear
densenet161,92.500,7.500,98.290,1.710,28.68,224,0.875,bicubic
mixnet_m,92.430,7.570,97.870,2.130,5.01,224,0.875,bicubic
mobilenetv2_120d,92.400,7.600,98.050,1.950,5.83,224,0.875,bicubic
skresnet34,92.390,7.610,98.150,1.850,22.28,224,0.875,bicubic
@ -214,6 +232,7 @@ regnetx_008,91.050,8.950,97.710,2.290,7.26,224,0.875,bicubic
tf_efficientnet_lite0,91.040,8.960,97.590,2.410,4.65,224,0.875,bicubic
gluon_resnet34_v1b,90.960,9.040,97.630,2.370,21.80,224,0.875,bicubic
mobilenetv2_110d,90.950,9.050,97.550,2.450,4.52,224,0.875,bicubic
legacy_seresnet34,90.890,9.110,97.580,2.420,21.96,224,0.875,bilinear
tv_densenet121,90.890,9.110,97.710,2.290,7.98,224,0.875,bicubic
dla34,90.760,9.240,97.660,2.340,15.74,224,0.875,bilinear
fbnetc_100,90.700,9.300,97.210,2.790,5.57,224,0.875,bilinear
@ -227,9 +246,11 @@ tv_resnet34,89.940,10.060,97.340,2.660,21.80,224,0.875,bilinear
tf_mobilenetv3_large_075,89.680,10.320,97.210,2.790,3.99,224,0.875,bilinear
skresnet18,89.660,10.340,97.230,2.770,11.96,224,0.875,bicubic
mobilenetv2_100,89.600,10.400,97.140,2.860,3.50,224,0.875,bicubic
resnet18d,89.280,10.720,97.150,2.850,11.71,224,0.875,bicubic
hrnet_w18_small,89.050,10.950,97.110,2.890,13.19,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,88.970,11.030,96.860,3.140,3.92,224,0.875,bilinear
regnetx_004,88.900,11.100,97.120,2.880,5.16,224,0.875,bicubic
legacy_seresnet18,88.880,11.120,96.980,3.020,11.78,224,0.875,bicubic
gluon_resnet18_v1b,88.400,11.600,96.680,3.320,11.69,224,0.875,bicubic
resnet18,87.390,12.610,96.290,3.710,11.69,224,0.875,bilinear
regnety_002,87.380,12.620,96.590,3.410,3.16,224,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
10 tf_efficientnet_b7_ap 97.200 2.800 99.540 0.460 66.35 600 0.949 bicubic
11 tf_efficientnet_b8 97.200 2.800 99.500 0.500 87.41 672 0.954 bicubic
12 tf_efficientnet_b8_ap 97.110 2.890 99.660 0.340 87.41 672 0.954 bicubic
13 vit_large_patch16_384 97.110 2.890 99.640 0.360 304.72 384 1.000 bicubic
14 tf_efficientnet_b6_ap 97.080 2.920 99.620 0.380 43.04 528 0.942 bicubic
15 tf_efficientnet_b7 97.010 2.990 99.520 0.480 66.35 600 0.949 bicubic
16 tf_efficientnet_b4_ns 96.950 3.050 99.580 0.420 19.34 380 0.922 bicubic
17 ig_resnext101_32x16d 96.820 3.180 99.590 0.410 194.03 224 0.875 bilinear
18 vit_base_patch16_384 96.700 3.300 99.510 0.490 86.86 384 1.000 bicubic
19 tf_efficientnet_b5_ap 96.680 3.320 99.460 0.540 30.39 456 0.934 bicubic
20 tf_efficientnet_b6 96.670 3.330 99.370 0.630 43.04 528 0.942 bicubic
21 resnest200e 96.610 3.390 99.350 0.650 70.20 320 0.909 bicubic
31 swsl_resnext50_32x4d 95.870 4.130 99.250 0.750 25.03 224 0.875 bilinear
32 resnest101e 95.860 4.140 99.210 0.790 48.28 256 0.875 bilinear
33 tresnet_l_448 95.860 4.140 99.120 0.880 55.99 448 0.875 bilinear
34 vit_large_patch32_384 95.830 4.170 99.150 0.850 306.63 384 1.000 bicubic
35 vit_base_patch32_384 95.810 4.190 99.150 0.850 88.30 384 1.000 bicubic
36 ssl_resnext101_32x16d 95.800 4.200 99.180 0.820 194.03 224 0.875 bilinear
37 tf_efficientnet_b2_ns 95.770 4.230 99.120 0.880 9.11 260 0.890 bicubic
38 efficientnet_b3a 95.710 4.290 99.040 0.960 12.23 320 1.000 bicubic
39 pnasnet5large 95.710 4.290 98.920 1.080 86.06 331 0.911 bicubic
40 nasnetalarge 95.680 4.320 98.930 1.070 88.75 331 0.911 bicubic
41 efficientnet_b3 95.580 4.420 99.100 0.900 12.23 300 0.904 bicubic
42 ecaresnet101d 95.530 4.470 99.130 0.870 44.57 224 0.875 bicubic
43 ssl_resnext101_32x8d 95.470 4.530 99.110 0.890 88.79 224 0.875 bilinear
44 ssl_resnext101_32x4d 95.440 4.560 99.130 0.870 44.18 224 0.875 bilinear
45 tresnet_xl 95.440 4.560 99.050 0.950 78.44 224 0.875 bilinear
46 swsl_resnet50 95.410 4.590 99.290 0.710 25.56 224 0.875 bilinear
47 regnety_032 95.360 4.640 99.080 0.920 19.44 224 0.875 bicubic
48 tf_efficientnet_b3_ap 95.320 4.680 98.900 1.100 12.23 300 0.904 bicubic
49 tresnet_l 95.290 4.710 99.010 0.990 55.99 224 0.875 bilinear
efficientnet_b3a 95.260 4.740 98.930 1.070 12.23 320 1.000 bicubic
50 tf_efficientnet_b1_ns 95.170 4.830 99.110 0.890 7.79 240 0.882 bicubic
51 wide_resnet50_2 95.080 4.920 98.970 1.030 68.88 224 0.875 bicubic
52 ecaresnet101d_pruned 95.080 4.920 98.980 1.020 24.88 224 0.875 bicubic
53 efficientnet_b3 legacy_senet154 95.080 95.070 4.920 4.930 98.980 98.830 1.020 1.170 12.23 115.09 300 224 0.904 0.875 bicubic bilinear
54 gluon_resnet152_v1s 95.040 4.960 98.930 1.070 60.32 224 0.875 bicubic
55 seresnext50_32x4d 95.040 4.960 98.880 1.120 27.56 224 0.875 bicubic
56 tf_efficientnet_b3 95.010 4.990 98.910 1.090 12.23 300 0.904 bicubic
57 tresnet_m_448 94.990 5.010 98.980 1.020 31.39 448 0.875 bilinear
58 resnest50d_4s2x40d 94.960 5.040 99.070 0.930 30.42 224 0.875 bicubic
80 regnety_320 94.540 5.460 98.850 1.150 145.05 224 0.875 bicubic
81 gluon_resnext101_32x4d 94.530 5.470 98.630 1.370 44.18 224 0.875 bicubic
82 tf_efficientnet_b2_ap 94.490 5.510 98.620 1.380 9.11 260 0.890 bicubic
regnety_120 94.480 5.520 98.810 1.190 51.82 224 0.875 bicubic
83 rexnet_150 94.480 5.520 98.790 1.210 9.73 224 0.875 bicubic
84 regnety_120 94.480 5.520 98.810 1.190 51.82 224 0.875 bicubic
85 cspresnext50 94.480 5.520 98.680 1.320 20.57 224 0.875 bilinear
86 regnetx_320 94.460 5.540 98.740 1.260 107.81 224 0.875 bicubic
87 ssl_resnet50 94.450 5.550 98.920 1.080 25.56 224 0.875 bilinear
88 inception_v4 94.380 5.620 98.580 1.420 42.68 299 0.875 bicubic
89 legacy_seresnext101_32x4d 94.370 5.630 98.650 1.350 48.96 224 0.875 bilinear
90 tf_efficientnet_b2 94.360 5.640 98.610 1.390 9.11 260 0.890 bicubic
gluon_seresnext50_32x4d 94.340 5.660 98.610 1.390 27.56 224 0.875 bicubic
91 regnety_160 94.340 5.660 98.850 1.150 83.59 224 0.875 bicubic
92 gluon_seresnext50_32x4d 94.340 5.660 98.610 1.390 27.56 224 0.875 bicubic
93 dpn107 94.310 5.690 98.480 1.520 86.92 224 0.875 bicubic
94 xception71 94.280 5.720 98.640 1.360 42.34 299 0.903 bicubic
95 gluon_xception65 94.260 5.740 98.570 1.430 39.92 299 0.903 bicubic
96 resnet50d 94.260 5.740 98.720 1.280 25.58 224 0.875 bicubic
97 skresnext50_32x4d 94.260 5.740 98.460 1.540 27.48 224 0.875 bicubic
98 regnetx_120 94.240 5.760 98.650 1.350 46.11 224 0.875 bicubic
99 dpn92 94.230 5.770 98.730 1.270 37.67 224 0.875 bicubic
ecaresnet50d_pruned 94.220 5.780 98.730 1.270 19.94 224 0.875 bicubic
100 gluon_resnet101_v1d 94.220 5.780 98.550 1.450 44.57 224 0.875 bicubic
101 ecaresnet50d_pruned 94.220 5.780 98.730 1.270 19.94 224 0.875 bicubic
102 tf_efficientnet_lite3 94.200 5.800 98.640 1.360 8.20 300 0.904 bilinear
103 mixnet_xl 94.190 5.810 98.340 1.660 11.90 224 0.875 bicubic
104 resnext50d_32x4d 94.180 5.820 98.570 1.430 25.05 224 0.875 bicubic
122 regnetx_064 93.890 6.110 98.630 1.370 26.21 224 0.875 bicubic
123 regnetx_080 93.870 6.130 98.520 1.480 39.57 224 0.875 bicubic
124 regnety_040 93.860 6.140 98.650 1.350 20.65 224 0.875 bicubic
125 efficientnet_em 93.840 6.160 98.810 1.190 6.90 240 0.882 bicubic
126 resnext101_32x8d 93.830 6.170 98.580 1.420 88.79 224 0.875 bilinear
127 gluon_resnext50_32x4d 93.810 6.190 98.410 1.590 25.03 224 0.875 bicubic
128 resnet50 93.810 6.190 98.390 1.610 25.56 224 0.875 bicubic
129 vit_base_patch16_224 93.800 6.200 98.470 1.530 86.54 224 0.900 bicubic
130 gluon_resnet50_v1d 93.770 6.230 98.390 1.610 25.58 224 0.875 bicubic
131 xception65 93.760 6.240 98.370 1.630 39.92 299 0.903 bicubic
gluon_resnet101_v1b 93.750 6.250 98.380 1.620 44.55 224 0.875 bicubic
132 res2net101_26w_4s 93.750 6.250 98.310 1.690 45.21 224 0.875 bilinear
133 gluon_resnet101_v1b 93.750 6.250 98.380 1.620 44.55 224 0.875 bicubic
134 cspresnet50 93.740 6.260 98.640 1.360 21.62 256 0.887 bilinear
135 legacy_seresnext50_32x4d 93.730 6.270 98.580 1.420 27.56 224 0.875 bilinear
136 wide_resnet101_2 93.720 6.280 98.540 1.460 126.89 224 0.875 bilinear
137 dpn68b 93.690 6.310 98.510 1.490 12.61 224 0.875 bicubic
138 tf_efficientnet_b1_ap 93.690 6.310 98.360 1.640 7.79 240 0.882 bicubic
147 tf_efficientnet_b1 93.500 6.500 98.360 1.640 7.79 240 0.882 bicubic
148 hrnet_w40 93.490 6.510 98.580 1.420 57.56 224 0.875 bilinear
149 tf_efficientnet_em 93.480 6.520 98.440 1.560 6.90 240 0.882 bicubic
gluon_inception_v3 93.460 6.540 98.570 1.430 23.83 299 0.875 bicubic
150 xception 93.460 6.540 98.530 1.470 22.86 299 0.897 bicubic
151 gluon_inception_v3 93.460 6.540 98.570 1.430 23.83 299 0.875 bicubic
152 mixnet_l 93.450 6.550 98.220 1.780 7.33 224 0.875 bicubic
153 xception41 93.430 6.570 98.430 1.570 26.97 299 0.903 bicubic
154 res2net50_26w_6s 93.410 6.590 98.280 1.720 37.05 224 0.875 bilinear
155 regnety_032 legacy_seresnet152 93.390 93.400 6.610 6.600 98.640 98.350 1.360 1.650 19.44 66.82 224 0.875 bicubic bilinear
156 dla169 93.340 6.660 98.600 1.400 53.39 224 0.875 bilinear
157 resnest26d 93.330 6.670 98.630 1.370 17.07 224 0.875 bilinear
158 tf_inception_v3 93.320 6.680 98.030 1.970 23.83 299 0.875 bicubic
159 tf_mixnet_l 93.310 6.690 98.030 1.970 7.33 224 0.875 bicubic
resnet152 93.300 6.700 98.390 1.610 60.19 224 0.875 bilinear
160 selecsls60b 93.300 6.700 98.280 1.720 32.77 224 0.875 bicubic
161 tv_resnet152 93.300 6.700 98.390 1.610 60.19 224 0.875 bilinear
162 legacy_seresnet101 93.280 6.720 98.510 1.490 49.33 224 0.875 bilinear
163 efficientnet_b1 93.260 6.740 98.170 1.830 7.79 240 0.875 bicubic
164 hrnet_w30 93.200 6.800 98.410 1.590 37.71 224 0.875 bilinear
dla60_res2net 93.180 6.820 98.420 1.580 20.85 224 0.875 bilinear
165 dla60_res2next 93.180 6.820 98.410 1.590 17.03 224 0.875 bilinear
166 wide_resnet50_2 dla60_res2net 93.170 93.180 6.830 6.820 98.350 98.420 1.650 1.580 68.88 20.85 224 0.875 bilinear
167 efficientnet_es 93.140 6.860 98.420 1.580 5.44 224 0.875 bicubic
168 dla60x 93.120 6.880 98.510 1.490 17.35 224 0.875 bilinear
169 regnetx_032 93.120 6.880 98.390 1.610 15.30 224 0.875 bicubic
173 regnety_016 93.030 6.970 98.360 1.640 11.20 224 0.875 bicubic
174 rexnet_100 93.030 6.970 98.190 1.810 4.80 224 0.875 bicubic
175 selecsls60 93.030 6.970 98.300 1.700 30.67 224 0.875 bicubic
176 legacy_seresnet50 92.960 7.040 98.190 1.810 28.09 224 0.875 bilinear
177 adv_inception_v3 92.880 7.120 98.140 1.860 23.83 299 0.875 bicubic
178 res2next50 92.840 7.160 98.180 1.820 24.67 224 0.875 bilinear
179 tf_efficientnet_cc_b0_8e 92.830 7.170 98.180 1.820 24.01 224 0.875 bicubic
180 seresnext26tn_32x4d 92.820 7.180 98.370 1.630 16.81 224 0.875 bicubic
181 resnet101 tv_resnet101 92.810 7.190 98.250 1.750 44.55 224 0.875 bilinear
182 efficientnet_b1_pruned 92.770 7.230 98.040 1.960 6.33 240 0.882 bicubic
183 vit_small_patch16_224 92.760 7.240 97.930 2.070 48.75 224 0.900 bicubic
184 densenet201 92.750 7.250 98.230 1.770 20.01 224 0.875 bicubic
185 res2net50_14w_8s 92.740 7.260 98.180 1.820 25.06 224 0.875 bilinear
186 tv_resnext50_32x4d 92.740 7.260 98.270 1.730 25.03 224 0.875 bilinear
187 inception_v3 92.720 7.280 97.970 2.030 23.83 299 0.875 bicubic
188 seresnext26d_32x4d 92.700 7.300 98.150 1.850 16.81 224 0.875 bicubic
189 efficientnet_b0 92.690 7.310 98.070 1.930 5.29 224 0.875 bicubic
190 resnet34d 92.680 7.320 98.310 1.690 21.82 224 0.875 bicubic
191 tf_efficientnet_lite2 92.650 7.350 98.230 1.770 6.09 260 0.890 bicubic
192 legacy_seresnext26_32x4d 92.640 7.360 98.130 1.870 16.79 224 0.875 bicubic
193 tf_efficientnet_lite1 92.620 7.380 98.080 1.920 5.42 240 0.882 bicubic
194 tf_efficientnet_cc_b0_4e 92.590 7.410 98.080 1.920 13.31 224 0.875 bicubic
195 res2net50_48w_2s 92.550 7.450 98.080 1.920 25.29 224 0.875 bilinear
196 tf_efficientnet_es 92.550 7.450 98.280 1.720 5.44 224 0.875 bicubic
197 gluon_resnet50_v1b 92.540 7.460 98.170 1.830 25.56 224 0.875 bicubic
densenet161 92.500 7.500 98.290 1.710 28.68 224 0.875 bicubic
198 res2net50_26w_4s 92.500 7.500 98.060 1.940 25.70 224 0.875 bilinear
199 densenet161 92.500 7.500 98.290 1.710 28.68 224 0.875 bicubic
200 mixnet_m 92.430 7.570 97.870 2.130 5.01 224 0.875 bicubic
201 mobilenetv2_120d 92.400 7.600 98.050 1.950 5.83 224 0.875 bicubic
202 skresnet34 92.390 7.610 98.150 1.850 22.28 224 0.875 bicubic
232 tf_efficientnet_lite0 91.040 8.960 97.590 2.410 4.65 224 0.875 bicubic
233 gluon_resnet34_v1b 90.960 9.040 97.630 2.370 21.80 224 0.875 bicubic
234 mobilenetv2_110d 90.950 9.050 97.550 2.450 4.52 224 0.875 bicubic
235 legacy_seresnet34 90.890 9.110 97.580 2.420 21.96 224 0.875 bilinear
236 tv_densenet121 90.890 9.110 97.710 2.290 7.98 224 0.875 bicubic
237 dla34 90.760 9.240 97.660 2.340 15.74 224 0.875 bilinear
238 fbnetc_100 90.700 9.300 97.210 2.790 5.57 224 0.875 bilinear
246 tf_mobilenetv3_large_075 89.680 10.320 97.210 2.790 3.99 224 0.875 bilinear
247 skresnet18 89.660 10.340 97.230 2.770 11.96 224 0.875 bicubic
248 mobilenetv2_100 89.600 10.400 97.140 2.860 3.50 224 0.875 bicubic
249 resnet18d 89.280 10.720 97.150 2.850 11.71 224 0.875 bicubic
250 hrnet_w18_small 89.050 10.950 97.110 2.890 13.19 224 0.875 bilinear
251 tf_mobilenetv3_large_minimal_100 88.970 11.030 96.860 3.140 3.92 224 0.875 bilinear
252 regnetx_004 88.900 11.100 97.120 2.880 5.16 224 0.875 bicubic
253 legacy_seresnet18 88.880 11.120 96.980 3.020 11.78 224 0.875 bicubic
254 gluon_resnet18_v1b 88.400 11.600 96.680 3.320 11.69 224 0.875 bicubic
255 resnet18 87.390 12.610 96.290 3.710 11.69 224 0.875 bilinear
256 regnety_002 87.380 12.620 96.590 3.410 3.16 224 0.875 bicubic

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results/results-imagenet-a.csv
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@ -6,193 +6,211 @@ tf_efficientnet_b6_ns,62.267,37.733,85.173,14.827,43.04,528,0.942,bicubic,-35.36
ig_resnext101_32x48d,61.013,38.987,83.347,16.653,828.41,224,0.875,bilinear,-36.607,-16.353,0
tf_efficientnet_b5_ns,60.320,39.680,84.493,15.507,30.39,456,0.934,bicubic,-37.180,-15.137,0
ig_resnext101_32x32d,58.093,41.907,80.653,19.347,468.53,224,0.875,bilinear,-39.267,-19.027,0
vit_large_patch16_384,53.867,46.133,80.320,19.680,304.72,384,1.000,bicubic,-43.243,-19.320,+4
ig_resnext101_32x16d,53.067,46.933,76.907,23.093,194.03,224,0.875,bilinear,-43.753,-22.683,+7
tf_efficientnet_b4_ns,51.213,48.787,79.187,20.813,19.34,380,0.922,bicubic,-45.737,-20.393,+5
swsl_resnext101_32x8d,51.187,48.813,78.240,21.760,88.79,224,0.875,bilinear,-46.013,-21.330,-2
tf_efficientnet_b8,48.947,51.053,77.240,22.760,87.41,672,0.954,bicubic,-48.253,-22.260,-1
swsl_resnext101_32x8d,51.187,48.813,78.240,21.760,88.79,224,0.875,bilinear,-46.013,-21.330,-3
vit_base_patch16_384,50.613,49.387,78.200,21.800,86.86,384,1.000,bicubic,-46.087,-21.310,+5
tf_efficientnet_b8,48.947,51.053,77.240,22.760,87.41,672,0.954,bicubic,-48.253,-22.260,-3
resnest269e,48.187,51.813,74.333,25.667,110.93,416,0.928,bicubic,-48.333,-25.017,+8
tf_efficientnet_b8_ap,46.893,53.107,76.507,23.493,87.41,672,0.954,bicubic,-50.217,-23.153,-2
tf_efficientnet_b8_ap,46.893,53.107,76.507,23.493,87.41,672,0.954,bicubic,-50.217,-23.153,-4
swsl_resnext101_32x16d,46.200,53.800,72.200,27.800,194.03,224,0.875,bilinear,-50.400,-27.320,+5
tf_efficientnet_b7_ap,45.373,54.627,74.213,25.787,66.35,600,0.949,bicubic,-51.827,-25.327,-6
tf_efficientnet_b7_ap,45.373,54.627,74.213,25.787,66.35,600,0.949,bicubic,-51.827,-25.327,-8
ig_resnext101_32x8d,45.320,54.680,70.867,29.133,88.79,224,0.875,bilinear,-51.000,-28.563,+8
resnest200e,44.147,55.853,73.467,26.533,70.20,320,0.909,bicubic,-52.463,-25.883,+1
tresnet_xl_448,43.480,56.520,72.453,27.547,78.44,448,0.875,bilinear,-52.490,-26.677,+8
tf_efficientnet_b7,42.960,57.040,73.133,26.867,66.35,600,0.949,bicubic,-54.050,-26.387,-6
tf_efficientnet_b7,42.960,57.040,73.133,26.867,66.35,600,0.949,bicubic,-54.050,-26.387,-7
swsl_resnext101_32x4d,41.560,58.440,71.760,28.240,44.18,224,0.875,bilinear,-54.860,-27.710,+1
tf_efficientnet_b6_ap,40.800,59.200,71.627,28.373,43.04,528,0.942,bicubic,-56.280,-27.993,-9
tf_efficientnet_b6_ap,40.800,59.200,71.627,28.373,43.04,528,0.942,bicubic,-56.280,-27.993,-10
tresnet_l_448,40.200,59.800,69.893,30.107,55.99,448,0.875,bilinear,-55.660,-29.227,+8
tf_efficientnet_b3_ns,35.520,64.480,67.773,32.227,12.23,300,0.904,bicubic,-60.870,-31.577,-1
tf_efficientnet_b6,35.213,64.787,67.720,32.280,43.04,528,0.942,bicubic,-61.457,-31.650,-7
tf_efficientnet_b5_ap,34.787,65.213,67.493,32.507,30.39,456,0.934,bicubic,-61.893,-31.967,-9
tresnet_m_448,34.107,65.893,64.493,35.507,31.39,448,0.875,bilinear,-60.883,-34.487,+22
swsl_resnext50_32x4d,33.013,66.987,65.067,34.933,25.03,224,0.875,bilinear,-62.857,-34.183,+1
vit_large_patch32_384,38.933,61.067,68.920,31.080,306.63,384,1.000,bicubic,-56.897,-30.230,+8
tf_efficientnet_b3_ns,35.520,64.480,67.773,32.227,12.23,300,0.904,bicubic,-60.870,-31.577,-2
tf_efficientnet_b6,35.213,64.787,67.720,32.280,43.04,528,0.942,bicubic,-61.457,-31.650,-8
tf_efficientnet_b5_ap,34.787,65.213,67.493,32.507,30.39,456,0.934,bicubic,-61.893,-31.967,-10
tresnet_m_448,34.107,65.893,64.493,35.507,31.39,448,0.875,bilinear,-60.883,-34.487,+27
vit_base_patch32_384,33.613,66.387,65.240,34.760,88.30,384,1.000,bicubic,-62.197,-33.910,+4
swsl_resnext50_32x4d,33.013,66.987,65.067,34.933,25.03,224,0.875,bilinear,-62.857,-34.183,-1
ssl_resnext101_32x16d,32.600,67.400,64.000,36.000,194.03,224,0.875,bilinear,-63.200,-35.180,+3
tf_efficientnet_b5,31.840,68.160,65.293,34.707,30.39,456,0.934,bicubic,-64.510,-34.017,-6
resnest101e,31.413,68.587,64.360,35.640,48.28,256,0.875,bilinear,-64.447,-34.850,-1
swsl_resnet50,29.867,70.133,63.853,36.147,25.56,224,0.875,bilinear,-65.543,-35.437,+8
ssl_resnext101_32x8d,29.040,70.960,60.973,39.027,88.79,224,0.875,bilinear,-66.430,-38.137,+4
tf_efficientnet_b4,26.293,73.707,60.107,39.893,19.34,380,0.922,bicubic,-69.607,-39.063,-6
tf_efficientnet_b4_ap,26.240,73.760,60.227,39.773,19.34,380,0.922,bicubic,-69.920,-39.053,-9
ecaresnet101d,26.027,73.973,58.987,41.013,44.57,224,0.875,bicubic,-69.503,-40.143,0
ssl_resnext101_32x4d,24.173,75.827,57.413,42.587,44.18,224,0.875,bilinear,-71.267,-41.717,+1
tf_efficientnet_b5,31.840,68.160,65.293,34.707,30.39,456,0.934,bicubic,-64.510,-34.017,-8
resnest101e,31.413,68.587,64.360,35.640,48.28,256,0.875,bilinear,-64.447,-34.850,-3
swsl_resnet50,29.867,70.133,63.853,36.147,25.56,224,0.875,bilinear,-65.543,-35.437,+10
ssl_resnext101_32x8d,29.040,70.960,60.973,39.027,88.79,224,0.875,bilinear,-66.430,-38.137,+6
tf_efficientnet_b4,26.293,73.707,60.107,39.893,19.34,380,0.922,bicubic,-69.607,-39.063,-8
tf_efficientnet_b4_ap,26.240,73.760,60.227,39.773,19.34,380,0.922,bicubic,-69.920,-39.053,-11
ecaresnet101d,26.027,73.973,58.987,41.013,44.57,224,0.875,bicubic,-69.503,-40.143,+2
ssl_resnext101_32x4d,24.173,75.827,57.413,42.587,44.18,224,0.875,bilinear,-71.267,-41.717,+3
tf_efficientnet_b2_ns,24.013,75.987,57.293,42.707,9.11,260,0.890,bicubic,-71.757,-41.827,-5
nasnetalarge,23.493,76.507,55.027,44.973,88.75,331,0.911,bicubic,-72.187,-43.903,-4
nasnetalarge,23.493,76.507,55.027,44.973,88.75,331,0.911,bicubic,-72.187,-43.903,-3
efficientnet_b3,23.453,76.547,56.587,43.413,12.23,300,0.904,bicubic,-72.127,-42.513,-3
pnasnet5large,23.333,76.667,53.640,46.360,86.06,331,0.911,bicubic,-72.377,-45.280,-6
resnest50d_4s2x40d,20.387,79.613,52.800,47.200,30.42,224,0.875,bicubic,-74.573,-46.270,+9
ssl_resnext50_32x4d,20.000,80.000,53.613,46.387,25.03,224,0.875,bilinear,-74.870,-45.267,+14
tresnet_xl,19.640,80.360,53.133,46.867,78.44,224,0.875,bilinear,-75.800,-45.917,-4
gluon_senet154,19.307,80.693,47.533,52.467,115.09,224,0.875,bicubic,-75.613,-51.227,+9
rexnet_200,19.227,80.773,52.720,47.280,16.37,224,0.875,bicubic,-75.713,-46.290,+6
efficientnet_b3a,23.213,76.787,55.960,44.040,12.23,320,1.000,bicubic,-72.497,-43.080,-8
regnety_032,21.867,78.133,55.267,44.733,19.44,224,0.875,bicubic,-73.493,-43.813,0
resnest50d_4s2x40d,20.387,79.613,52.800,47.200,30.42,224,0.875,bicubic,-74.573,-46.270,+10
ssl_resnext50_32x4d,20.000,80.000,53.613,46.387,25.03,224,0.875,bilinear,-74.870,-45.267,+15
tresnet_xl,19.640,80.360,53.133,46.867,78.44,224,0.875,bilinear,-75.800,-45.917,-5
gluon_senet154,19.307,80.693,47.533,52.467,115.09,224,0.875,bicubic,-75.613,-51.227,+10
rexnet_200,19.227,80.773,52.720,47.280,16.37,224,0.875,bicubic,-75.713,-46.290,+7
legacy_senet154,19.053,80.947,47.947,52.053,115.09,224,0.875,bilinear,-76.017,-50.883,0
gluon_seresnext101_64x4d,18.907,81.093,49.187,50.813,88.23,224,0.875,bicubic,-76.023,-49.643,+6
tf_efficientnet_b1_ns,18.693,81.307,51.667,48.333,7.79,240,0.882,bicubic,-76.477,-47.443,-4
efficientnet_b3,18.693,81.307,52.347,47.653,12.23,300,0.904,bicubic,-76.387,-46.633,-1
efficientnet_b3a,18.600,81.400,51.640,48.360,12.23,320,1.000,bicubic,-76.660,-47.290,-6
ecaresnet50d,18.227,81.773,51.893,48.107,25.58,224,0.875,bicubic,-76.403,-46.997,+15
tf_efficientnet_lite4,18.133,81.867,50.707,49.293,13.01,380,0.920,bilinear,-76.757,-48.313,+4
resnest50d_1s4x24d,17.693,82.307,49.800,50.200,25.68,224,0.875,bicubic,-77.057,-49.180,+7
gluon_seresnext101_32x4d,17.373,82.627,46.373,53.627,48.96,224,0.875,bicubic,-77.547,-52.437,+1
resnest50d,17.373,82.627,50.707,49.293,27.48,224,0.875,bilinear,-77.457,-48.173,+3
inception_v4,17.267,82.733,45.920,54.080,42.68,299,0.875,bicubic,-77.113,-52.660,+25
tf_efficientnet_b1_ns,18.693,81.307,51.667,48.333,7.79,240,0.882,bicubic,-76.477,-47.443,-5
seresnext50_32x4d,18.360,81.640,50.973,49.027,27.56,224,0.875,bicubic,-76.680,-47.907,-1
ecaresnet50d,18.227,81.773,51.880,48.120,25.58,224,0.875,bicubic,-76.403,-47.010,+16
tf_efficientnet_lite4,18.133,81.867,50.707,49.293,13.01,380,0.920,bilinear,-76.757,-48.313,+5
resnest50d_1s4x24d,17.693,82.307,49.800,50.200,25.68,224,0.875,bicubic,-77.057,-49.180,+8
gluon_seresnext101_32x4d,17.373,82.627,46.373,53.627,48.96,224,0.875,bicubic,-77.547,-52.437,+2
resnest50d,17.373,82.627,50.707,49.293,27.48,224,0.875,bilinear,-77.457,-48.173,+4
inception_v4,17.267,82.733,45.920,54.080,42.68,299,0.875,bicubic,-77.113,-52.660,+26
tf_efficientnet_b3_ap,17.187,82.813,49.680,50.320,12.23,300,0.904,bicubic,-78.133,-49.220,-15
tf_efficientnet_b3,17.000,83.000,49.267,50.733,12.23,300,0.904,bicubic,-78.010,-49.643,-9
xception71,17.000,83.000,45.520,54.480,42.34,299,0.903,bicubic,-77.280,-53.120,+27
gluon_resnext101_64x4d,16.853,83.147,44.213,55.787,83.46,224,0.875,bicubic,-77.817,-54.437,+4
tf_efficientnet_b3,17.000,83.000,49.267,50.733,12.23,300,0.904,bicubic,-78.010,-49.643,-8
xception71,17.000,83.000,45.520,54.480,42.34,299,0.903,bicubic,-77.280,-53.120,+29
gluon_resnext101_64x4d,16.853,83.147,44.213,55.787,83.46,224,0.875,bicubic,-77.817,-54.437,+5
tresnet_l,16.600,83.400,49.920,50.080,55.99,224,0.875,bilinear,-78.690,-49.090,-18
inception_resnet_v2,16.573,83.427,44.960,55.040,55.84,299,0.897,bicubic,-77.967,-53.830,+8
gluon_resnet152_v1d,16.573,83.427,44.280,55.720,60.21,224,0.875,bicubic,-78.167,-54.460,0
gluon_resnet152_v1s,16.573,83.427,44.533,55.467,60.32,224,0.875,bicubic,-78.467,-54.397,-15
gluon_resnet152_v1d,16.573,83.427,44.280,55.720,60.21,224,0.875,bicubic,-78.167,-54.460,-1
gluon_xception65,16.440,83.560,46.027,53.973,39.92,299,0.903,bicubic,-77.820,-52.543,+22
ens_adv_inception_resnet_v2,16.240,83.760,43.640,56.360,55.84,299,0.897,bicubic,-77.920,-54.960,+31
xception65,16.027,83.973,43.773,56.227,39.92,299,0.903,bicubic,-77.733,-54.597,+53
ssl_resnet50,15.960,84.040,49.467,50.533,25.56,224,0.875,bilinear,-78.490,-49.453,+12
regnety_320,15.627,84.373,44.827,55.173,145.05,224,0.875,bicubic,-78.913,-54.023,+4
ecaresnet101d_pruned,15.600,84.400,48.027,51.973,24.88,224,0.875,bicubic,-79.480,-50.953,-24
skresnext50_32x4d,15.373,84.627,44.493,55.507,27.48,224,0.875,bicubic,-78.887,-53.967,+17
ecaresnetlight,15.160,84.840,45.827,54.173,30.16,224,0.875,bicubic,-79.610,-52.973,-13
rexnet_150,14.720,85.280,46.907,53.093,9.73,224,0.875,bicubic,-79.760,-51.903,+4
efficientnet_b2a,14.440,85.560,46.080,53.920,9.11,288,1.000,bicubic,-80.170,-52.630,-5
seresnet50,14.147,85.853,45.467,54.533,28.09,224,0.875,bicubic,-80.403,-53.283,-4
gluon_resnext101_32x4d,13.867,86.133,41.653,58.347,44.18,224,0.875,bicubic,-80.663,-56.977,-2
gluon_seresnext50_32x4d,13.600,86.400,43.760,56.240,27.56,224,0.875,bicubic,-80.740,-54.850,+6
inception_resnet_v2,16.573,83.427,44.960,55.040,55.84,299,0.897,bicubic,-77.967,-53.830,+9
vit_base_patch16_224,16.493,83.507,47.427,52.573,86.54,224,0.900,bicubic,-77.307,-51.043,+58
gluon_xception65,16.440,83.560,46.027,53.973,39.92,299,0.903,bicubic,-77.820,-52.543,+23
wide_resnet50_2,16.280,83.720,48.347,51.653,68.88,224,0.875,bicubic,-78.800,-50.633,-22
ens_adv_inception_resnet_v2,16.240,83.760,43.640,56.360,55.84,299,0.897,bicubic,-77.920,-54.960,+32
xception65,16.027,83.973,43.773,56.227,39.92,299,0.903,bicubic,-77.733,-54.597,+56
ssl_resnet50,15.960,84.040,49.467,50.533,25.56,224,0.875,bilinear,-78.490,-49.453,+11
regnety_320,15.627,84.373,44.827,55.173,145.05,224,0.875,bicubic,-78.913,-54.023,+3
ecaresnet101d_pruned,15.600,84.400,48.027,51.973,24.88,224,0.875,bicubic,-79.480,-50.943,-26
skresnext50_32x4d,15.373,84.627,44.493,55.507,27.48,224,0.875,bicubic,-78.887,-53.967,+18
ecaresnetlight,15.160,84.840,45.813,54.187,30.16,224,0.875,bicubic,-79.610,-52.987,-14
rexnet_150,14.720,85.280,46.907,53.093,9.73,224,0.875,bicubic,-79.760,-51.773,+2
efficientnet_b2a,14.440,85.560,46.080,53.920,9.11,288,1.000,bicubic,-80.170,-52.630,-6
seresnet50,14.147,85.853,45.467,54.533,28.09,224,0.875,bicubic,-80.403,-53.283,-6
legacy_seresnext101_32x4d,14.147,85.853,42.973,57.027,48.96,224,0.875,bilinear,-80.223,-55.677,+6
gluon_resnext101_32x4d,13.867,86.133,41.653,58.347,44.18,224,0.875,bicubic,-80.663,-56.977,-4
gluon_seresnext50_32x4d,13.600,86.400,43.760,56.240,27.56,224,0.875,bicubic,-80.740,-55.090,+6
ese_vovnet39b,13.320,86.680,43.813,56.187,24.57,224,0.875,bicubic,-80.770,-54.847,+26
efficientnet_b2,13.307,86.693,44.440,55.560,9.11,260,0.875,bicubic,-81.393,-54.230,-16
regnetx_320,13.307,86.693,40.720,59.280,107.81,224,0.875,bicubic,-81.153,-58.020,-1
efficientnet_b3_pruned,13.173,86.827,45.213,54.787,9.86,300,0.904,bicubic,-81.457,-53.547,-14
gluon_resnet101_v1d,13.160,86.840,41.493,58.507,44.57,224,0.875,bicubic,-81.060,-57.057,+10
efficientnet_b2,13.307,86.693,44.440,55.560,9.11,260,0.875,bicubic,-81.393,-54.230,-18
regnetx_320,13.307,86.693,40.720,59.280,107.81,224,0.875,bicubic,-81.153,-58.020,-3
efficientnet_b3_pruned,13.173,86.827,45.213,54.787,9.86,300,0.904,bicubic,-81.457,-53.547,-16
gluon_resnet101_v1d,13.160,86.840,41.493,58.507,44.57,224,0.875,bicubic,-81.060,-57.237,+9
mixnet_xl,13.120,86.880,43.253,56.747,11.90,224,0.875,bicubic,-81.070,-55.087,+11
gluon_inception_v3,12.640,87.360,40.493,59.507,23.83,299,0.875,bicubic,-80.820,-58.077,+53
tresnet_m,12.600,87.400,41.893,58.107,31.39,224,0.875,bilinear,-82.020,-56.657,-17
regnety_120,12.427,87.573,42.200,57.800,51.82,224,0.875,bicubic,-82.053,-56.480,-10
regnety_160,12.200,87.800,41.320,58.680,83.59,224,0.875,bicubic,-82.140,-57.530,-3
hrnet_w64,12.027,87.973,40.787,59.213,128.06,224,0.875,bilinear,-81.983,-57.823,+19
cspdarknet53,12.013,87.987,43.253,56.747,27.64,256,0.887,bilinear,-82.647,-55.547,-24
gluon_resnet101_v1s,11.880,88.120,40.973,59.027,44.67,224,0.875,bicubic,-82.840,-57.847,-28
dpn92,11.627,88.373,40.267,59.733,37.67,224,0.875,bicubic,-82.603,-58.463,-1
xception41,11.600,88.400,39.133,60.867,26.97,299,0.903,bicubic,-81.830,-59.297,+48
dla102x2,11.573,88.427,41.293,58.707,41.28,224,0.875,bilinear,-82.377,-57.197,+16
regnety_080,11.413,88.587,40.613,59.387,39.18,224,0.875,bicubic,-82.757,-58.067,+2
efficientnet_b2_pruned,11.360,88.640,42.027,57.973,8.31,260,0.890,bicubic,-82.780,-56.503,+5
gluon_resnet152_v1c,11.093,88.907,37.120,62.880,60.21,224,0.875,bicubic,-83.067,-61.520,+2
dpn107,11.080,88.920,38.693,61.307,86.92,224,0.875,bicubic,-83.230,-59.787,-12
hrnet_w48,11.080,88.920,40.320,59.680,77.47,224,0.875,bilinear,-82.840,-58.290,+12
ecaresnet50d_pruned,11.027,88.973,41.947,58.053,19.94,224,0.875,bicubic,-83.193,-56.783,-8
adv_inception_v3,11.013,88.987,36.720,63.280,23.83,299,0.875,bicubic,-81.867,-61.420,+63
tf_efficientnet_el,10.960,89.040,41.773,58.227,10.59,300,0.904,bicubic,-83.630,-56.977,-31
tf_efficientnet_b0_ns,10.933,89.067,40.067,59.933,5.29,224,0.875,bicubic,-82.697,-58.573,+25
tf_inception_v3,10.840,89.160,36.853,63.147,23.83,299,0.875,bicubic,-82.480,-61.177,+42
resnext50_32x4d,10.800,89.200,40.307,59.693,25.03,224,0.875,bicubic,-83.300,-58.043,-1
dpn131,10.787,89.213,37.200,62.800,79.25,224,0.875,bicubic,-83.223,-61.520,+1
tf_efficientnet_b2_ap,10.533,89.467,40.107,59.893,9.11,260,0.890,bicubic,-83.957,-58.513,-31
resnext50d_32x4d,10.413,89.587,39.733,60.267,25.05,224,0.875,bicubic,-83.767,-58.837,-12
rexnet_130,10.400,89.600,41.547,58.453,7.56,224,0.875,bicubic,-83.500,-56.853,+3
hrnet_w44,10.320,89.680,39.507,60.493,67.06,224,0.875,bilinear,-83.230,-59.193,+21
resnext101_32x8d,10.187,89.813,37.827,62.173,88.79,224,0.875,bilinear,-83.643,-60.753,+6
regnetx_160,10.147,89.853,38.000,62.000,54.28,224,0.875,bicubic,-83.973,-60.750,-9
dpn98,10.133,89.867,36.587,63.413,61.57,224,0.875,bicubic,-83.997,-61.983,-11
cspresnext50,10.120,89.880,40.373,59.627,20.57,224,0.875,bilinear,-84.360,-58.417,-35
inception_v3,10.027,89.973,35.213,64.787,23.83,299,0.875,bicubic,-82.693,-62.757,+58
xception,9.987,90.013,38.027,61.973,22.86,299,0.897,bicubic,-83.473,-60.503,+23
regnety_064,9.947,90.053,39.067,60.933,30.58,224,0.875,bicubic,-84.203,-59.663,-17
gluon_inception_v3,12.640,87.360,40.493,59.507,23.83,299,0.875,bicubic,-80.820,-58.037,+58
tresnet_m,12.600,87.400,41.893,58.107,31.39,224,0.875,bilinear,-82.020,-56.657,-19
regnety_120,12.427,87.573,42.200,57.800,51.82,224,0.875,bicubic,-82.053,-56.610,-11
efficientnet_em,12.360,87.640,43.880,56.120,6.90,240,0.882,bicubic,-81.480,-54.930,+29
regnety_160,12.200,87.800,41.320,58.680,83.59,224,0.875,bicubic,-82.140,-57.290,-6
vit_small_patch16_224,12.147,87.853,40.320,59.680,48.75,224,0.900,bicubic,-80.613,-57.610,+85
hrnet_w64,12.027,87.973,40.787,59.213,128.06,224,0.875,bilinear,-81.983,-57.823,+17
cspdarknet53,12.013,87.987,43.253,56.747,27.64,256,0.887,bilinear,-82.647,-55.547,-28
gluon_resnet101_v1s,11.880,88.120,40.973,59.027,44.67,224,0.875,bicubic,-82.840,-57.847,-32
resnet50d,11.693,88.307,42.453,57.547,25.58,224,0.875,bicubic,-82.567,-56.267,-6
dpn92,11.627,88.373,40.267,59.733,37.67,224,0.875,bicubic,-82.603,-58.463,-4
xception41,11.600,88.400,39.133,60.867,26.97,299,0.903,bicubic,-81.830,-59.297,+49
dla102x2,11.573,88.427,41.293,58.707,41.28,224,0.875,bilinear,-82.377,-57.197,+13
regnety_080,11.413,88.587,40.613,59.387,39.18,224,0.875,bicubic,-82.757,-58.067,-1
efficientnet_b2_pruned,11.360,88.640,42.027,57.973,8.31,260,0.890,bicubic,-82.780,-56.503,+2
gluon_resnet152_v1c,11.093,88.907,37.120,62.880,60.21,224,0.875,bicubic,-83.067,-61.520,-1
dpn107,11.080,88.920,38.693,61.307,86.92,224,0.875,bicubic,-83.230,-59.787,-16
hrnet_w48,11.080,88.920,40.320,59.680,77.47,224,0.875,bilinear,-82.840,-58.290,+9
ecaresnet50d_pruned,11.027,88.973,41.947,58.053,19.94,224,0.875,bicubic,-83.193,-56.603,-10
adv_inception_v3,11.013,88.987,36.720,63.280,23.83,299,0.875,bicubic,-81.867,-61.420,+65
tf_efficientnet_el,10.960,89.040,41.773,58.227,10.59,300,0.904,bicubic,-83.630,-56.977,-36
tf_efficientnet_b0_ns,10.933,89.067,40.067,59.933,5.29,224,0.875,bicubic,-82.697,-58.573,+26
tf_inception_v3,10.840,89.160,36.867,63.133,23.83,299,0.875,bicubic,-82.480,-61.163,+43
resnext50_32x4d,10.800,89.200,40.307,59.693,25.03,224,0.875,bicubic,-83.300,-58.043,-4
dpn131,10.787,89.213,37.200,62.800,79.25,224,0.875,bicubic,-83.223,-61.520,-2
tf_efficientnet_b2_ap,10.533,89.467,40.107,59.893,9.11,260,0.890,bicubic,-83.957,-58.513,-36
resnext50d_32x4d,10.413,89.587,39.733,60.267,25.05,224,0.875,bicubic,-83.767,-58.837,-15
rexnet_130,10.400,89.600,41.547,58.453,7.56,224,0.875,bicubic,-83.500,-56.853,0
hrnet_w44,10.320,89.680,39.507,60.493,67.06,224,0.875,bilinear,-83.230,-59.193,+22
resnext101_32x8d,10.187,89.813,37.827,62.173,88.79,224,0.875,bilinear,-83.643,-60.753,+4
regnetx_160,10.147,89.853,38.000,62.000,54.28,224,0.875,bicubic,-83.973,-60.750,-12
dpn98,10.133,89.867,36.587,63.413,61.57,224,0.875,bicubic,-83.997,-61.983,-14
cspresnext50,10.120,89.880,40.373,59.627,20.57,224,0.875,bilinear,-84.360,-58.417,-40
legacy_seresnext50_32x4d,10.107,89.893,39.200,60.800,27.56,224,0.875,bilinear,-83.623,-59.380,+9
inception_v3,10.027,89.973,35.227,64.773,23.83,299,0.875,bicubic,-82.693,-62.743,+60
xception,9.987,90.013,38.027,61.973,22.86,299,0.897,bicubic,-83.473,-60.543,+22
regnety_064,9.947,90.053,39.067,60.933,30.58,224,0.875,bicubic,-84.203,-59.663,-21
dpn68b,9.787,90.213,38.053,61.947,12.61,224,0.875,bicubic,-83.903,-60.457,+7
gluon_resnet152_v1b,9.747,90.253,36.067,63.933,60.19,224,0.875,bicubic,-84.333,-62.383,-13
tf_efficientnet_lite3,9.667,90.333,39.000,61.000,8.20,300,0.904,bilinear,-84.533,-59.640,-26
tf_efficientnet_b2,9.653,90.347,38.880,61.120,9.11,260,0.890,bicubic,-84.707,-59.730,-38
tf_efficientnet_cc_b1_8e,9.573,90.427,36.773,63.227,39.72,240,0.882,bicubic,-84.327,-61.487,-9
res2net101_26w_4s,9.520,90.480,35.027,64.973,45.21,224,0.875,bilinear,-84.230,-63.283,0
seresnext26t_32x4d,9.347,90.653,37.520,62.480,16.82,224,0.875,bicubic,-83.723,-60.590,+34
hrnet_w40,9.227,90.773,36.893,63.107,57.56,224,0.875,bilinear,-84.263,-61.687,+11
regnetx_120,9.187,90.813,37.200,62.800,46.11,224,0.875,bicubic,-85.053,-61.450,-36
gluon_resnet152_v1b,9.747,90.253,36.067,63.933,60.19,224,0.875,bicubic,-84.333,-62.383,-17
tf_efficientnet_lite3,9.667,90.333,39.000,61.000,8.20,300,0.904,bilinear,-84.533,-59.640,-30
tf_efficientnet_b2,9.653,90.347,38.880,61.120,9.11,260,0.890,bicubic,-84.707,-59.730,-43
tf_efficientnet_cc_b1_8e,9.573,90.427,36.773,63.227,39.72,240,0.882,bicubic,-84.327,-61.487,-13
res2net101_26w_4s,9.520,90.480,35.027,64.973,45.21,224,0.875,bilinear,-84.230,-63.353,-3
legacy_seresnet152,9.347,90.653,37.413,62.587,66.82,224,0.875,bilinear,-84.053,-60.937,+19
seresnext26t_32x4d,9.347,90.653,37.520,62.480,16.82,224,0.875,bicubic,-83.723,-60.590,+33
cspresnet50,9.253,90.747,39.640,60.360,21.62,256,0.887,bilinear,-84.487,-59.000,-4
hrnet_w40,9.227,90.773,36.893,63.107,57.56,224,0.875,bilinear,-84.263,-61.687,+9
regnetx_120,9.187,90.813,37.200,62.800,46.11,224,0.875,bicubic,-85.053,-61.450,-42
seresnext26d_32x4d,9.147,90.853,36.840,63.160,16.81,224,0.875,bicubic,-83.553,-61.310,+47
efficientnet_b1,9.120,90.880,37.360,62.640,7.79,240,0.875,bicubic,-84.140,-60.810,+22
resnest26d,9.080,90.920,37.853,62.147,17.07,224,0.875,bilinear,-84.250,-60.777,+16
regnety_040,9.000,91.000,37.053,62.947,20.65,224,0.875,bicubic,-84.860,-61.597,-14
gluon_resnext50_32x4d,8.947,91.053,36.333,63.667,25.03,224,0.875,bicubic,-84.863,-62.077,-13
rexnet_100,8.893,91.107,36.373,63.627,4.80,224,0.875,bicubic,-84.137,-61.817,+30
seresnext26tn_32x4d,8.893,91.107,36.907,63.093,16.81,224,0.875,bicubic,-83.927,-61.463,+34
mixnet_l,8.853,91.147,36.187,63.813,7.33,224,0.875,bicubic,-84.597,-62.033,+6
dla169,8.640,91.360,36.040,63.960,53.39,224,0.875,bilinear,-84.700,-62.560,+9
hrnet_w30,8.613,91.387,37.040,62.960,37.71,224,0.875,bilinear,-84.587,-61.370,+15
tf_efficientnet_b1_ap,8.453,91.547,35.253,64.747,7.79,240,0.882,bicubic,-85.237,-63.107,-11
resnetblur50,8.240,91.760,37.400,62.600,25.56,224,0.875,bicubic,-85.720,-61.190,-29
dla102x,8.200,91.800,37.013,62.987,26.31,224,0.875,bilinear,-85.320,-61.497,-5
hrnet_w32,8.040,91.960,37.507,62.493,41.23,224,0.875,bilinear,-85.490,-60.943,-7
res2net50_26w_8s,8.000,92.000,33.853,66.147,48.40,224,0.875,bilinear,-85.540,-64.407,-9
gluon_resnet101_v1c,7.987,92.013,33.360,66.640,44.57,224,0.875,bicubic,-85.683,-65.060,-15
gluon_resnet50_v1d,7.920,92.080,35.000,65.000,25.58,224,0.875,bicubic,-85.850,-63.390,-23
dla60_res2next,7.787,92.213,34.987,65.013,17.03,224,0.875,bilinear,-85.393,-63.423,+9
densenetblur121d,7.720,92.280,34.733,65.267,8.00,224,0.875,bicubic,-84.190,-63.337,+53
regnety_032,7.680,92.320,34.227,65.773,19.44,224,0.875,bicubic,-85.710,-64.413,-3
dla60_res2net,7.560,92.440,34.627,65.373,20.85,224,0.875,bilinear,-85.620,-63.793,+5
efficientnet_b1_pruned,7.440,92.560,34.533,65.467,6.33,240,0.882,bicubic,-85.330,-63.507,+21
wide_resnet101_2,7.360,92.640,34.147,65.853,126.89,224,0.875,bilinear,-86.360,-64.393,-25
regnetx_064,7.333,92.667,34.373,65.627,26.21,224,0.875,bicubic,-86.557,-64.257,-36
gluon_resnet101_v1b,7.227,92.773,32.773,67.227,44.55,224,0.875,bicubic,-86.523,-65.607,-29
efficientnet_b1,9.120,90.880,37.360,62.640,7.79,240,0.875,bicubic,-84.140,-60.810,+21
resnest26d,9.080,90.920,37.853,62.147,17.07,224,0.875,bilinear,-84.250,-60.777,+14
regnety_040,9.000,91.000,37.053,62.947,20.65,224,0.875,bicubic,-84.860,-61.597,-20
gluon_resnext50_32x4d,8.947,91.053,36.333,63.667,25.03,224,0.875,bicubic,-84.863,-62.077,-18
rexnet_100,8.893,91.107,36.373,63.627,4.80,224,0.875,bicubic,-84.137,-61.817,+28
seresnext26tn_32x4d,8.893,91.107,36.907,63.093,16.81,224,0.875,bicubic,-83.927,-61.463,+33
mixnet_l,8.853,91.147,36.187,63.813,7.33,224,0.875,bicubic,-84.597,-62.033,+4
dla169,8.640,91.360,36.040,63.960,53.39,224,0.875,bilinear,-84.700,-62.560,+7
hrnet_w30,8.613,91.387,37.040,62.960,37.71,224,0.875,bilinear,-84.587,-61.370,+14
legacy_seresnet101,8.533,91.467,36.013,63.987,49.33,224,0.875,bilinear,-84.747,-62.497,+11
tf_efficientnet_b1_ap,8.453,91.547,35.253,64.747,7.79,240,0.882,bicubic,-85.237,-63.107,-14
resnetblur50,8.240,91.760,37.400,62.600,25.56,224,0.875,bicubic,-85.720,-61.190,-36
dla102x,8.200,91.800,37.013,62.987,26.31,224,0.875,bilinear,-85.320,-61.497,-8
hrnet_w32,8.040,91.960,37.507,62.493,41.23,224,0.875,bilinear,-85.490,-60.943,-10
res2net50_26w_8s,8.000,92.000,33.853,66.147,48.40,224,0.875,bilinear,-85.540,-64.407,-12
gluon_resnet101_v1c,7.987,92.013,33.360,66.640,44.57,224,0.875,bicubic,-85.683,-65.060,-18
gluon_resnet50_v1d,7.920,92.080,35.000,65.000,25.58,224,0.875,bicubic,-85.850,-63.390,-28
dla60_res2next,7.787,92.213,34.987,65.013,17.03,224,0.875,bilinear,-85.393,-63.433,+6
densenetblur121d,7.720,92.280,34.733,65.267,8.00,224,0.875,bicubic,-84.190,-63.337,+54
dla60_res2net,7.560,92.440,34.627,65.373,20.85,224,0.875,bilinear,-85.620,-63.783,+5
efficientnet_b1_pruned,7.440,92.560,34.533,65.467,6.33,240,0.882,bicubic,-85.330,-63.507,+20
wide_resnet101_2,7.360,92.640,34.147,65.853,126.89,224,0.875,bilinear,-86.360,-64.393,-27
regnetx_064,7.333,92.667,34.373,65.627,26.21,224,0.875,bicubic,-86.557,-64.257,-42
gluon_resnet101_v1b,7.227,92.773,32.773,67.227,44.55,224,0.875,bicubic,-86.523,-65.537,-32
gluon_resnet50_v1s,7.213,92.787,33.507,66.493,25.68,224,0.875,bicubic,-86.407,-64.953,-26
efficientnet_b0,7.213,92.787,34.013,65.987,5.29,224,0.875,bicubic,-85.477,-64.057,+23
gluon_resnet50_v1s,7.213,92.787,33.507,66.493,25.68,224,0.875,bicubic,-86.407,-64.953,-24
tf_mixnet_l,7.147,92.853,31.613,68.387,7.33,224,0.875,bicubic,-86.163,-66.417,-7
tf_efficientnet_b1,7.133,92.867,33.040,66.960,7.79,240,0.882,bicubic,-86.367,-65.320,-20
tf_efficientnet_cc_b0_8e,7.120,92.880,31.787,68.213,24.01,224,0.875,bicubic,-85.710,-66.393,+10
ese_vovnet19b_dw,6.733,93.267,33.413,66.587,6.54,224,0.875,bicubic,-85.557,-64.677,+32
selecsls60b,6.733,93.267,33.267,66.733,32.77,224,0.875,bicubic,-86.567,-65.013,-9
efficientnet_es,6.707,93.293,33.840,66.160,5.44,224,0.875,bicubic,-86.433,-64.580,-4
res2net50_26w_6s,6.693,93.307,31.653,68.347,37.05,224,0.875,bilinear,-86.717,-66.627,-18
mixnet_m,6.627,93.373,32.053,67.947,5.01,224,0.875,bicubic,-85.803,-65.817,+23
skresnet34,6.480,93.520,31.547,68.453,22.28,224,0.875,bicubic,-85.910,-66.603,+24
dla60x,6.427,93.573,34.080,65.920,17.35,224,0.875,bilinear,-86.693,-64.430,-7
regnetx_080,6.307,93.693,32.320,67.680,39.57,224,0.875,bicubic,-87.563,-66.200,-49
swsl_resnet18,6.240,93.760,31.600,68.400,11.69,224,0.875,bilinear,-84.450,-66.100,+57
resnet152,6.040,93.960,32.053,67.947,60.19,224,0.875,bilinear,-87.260,-66.337,-18
wide_resnet50_2,6.000,94.000,32.147,67.853,68.88,224,0.875,bilinear,-87.170,-66.203,-13
regnetx_040,5.973,94.027,31.547,68.453,22.12,224,0.875,bicubic,-87.587,-66.993,-38
tf_mixnet_l,7.147,92.853,31.613,68.387,7.33,224,0.875,bicubic,-86.163,-66.417,-9
tf_efficientnet_b1,7.133,92.867,33.040,66.960,7.79,240,0.882,bicubic,-86.367,-65.320,-22
tf_efficientnet_cc_b0_8e,7.120,92.880,31.787,68.213,24.01,224,0.875,bicubic,-85.710,-66.393,+9
ese_vovnet19b_dw,6.733,93.267,33.413,66.587,6.54,224,0.875,bicubic,-85.557,-64.677,+34
selecsls60b,6.733,93.267,33.267,66.733,32.77,224,0.875,bicubic,-86.567,-65.013,-12
efficientnet_es,6.707,93.293,33.840,66.160,5.44,224,0.875,bicubic,-86.433,-64.580,-6
res2net50_26w_6s,6.693,93.307,31.653,68.347,37.05,224,0.875,bilinear,-86.717,-66.627,-20
legacy_seresnext26_32x4d,6.627,93.373,33.253,66.747,16.79,224,0.875,bicubic,-86.013,-64.877,+17
mixnet_m,6.627,93.373,32.053,67.947,5.01,224,0.875,bicubic,-85.803,-65.817,+24
skresnet34,6.480,93.520,31.547,68.453,22.28,224,0.875,bicubic,-85.910,-66.603,+25
dla60x,6.427,93.573,34.080,65.920,17.35,224,0.875,bilinear,-86.693,-64.430,-10
resnet34d,6.400,93.600,31.493,68.507,21.82,224,0.875,bicubic,-86.280,-66.817,+11
regnetx_080,6.307,93.693,32.320,67.680,39.57,224,0.875,bicubic,-87.563,-66.200,-57
swsl_resnet18,6.240,93.760,31.600,68.400,11.69,224,0.875,bilinear,-84.450,-66.100,+58
legacy_seresnet50,6.187,93.813,32.653,67.347,28.09,224,0.875,bilinear,-86.773,-65.537,-6
tv_resnet152,6.040,93.960,32.053,67.947,60.19,224,0.875,bilinear,-87.260,-66.337,-22
regnetx_040,5.973,94.027,31.547,68.453,22.12,224,0.875,bicubic,-87.587,-66.993,-42
tf_efficientnet_cc_b0_4e,5.973,94.027,29.600,70.400,13.31,224,0.875,bicubic,-86.617,-68.480,+9
resnet50,5.933,94.067,29.093,70.907,25.56,224,0.875,bicubic,-87.877,-69.297,-51
dla102,5.880,94.120,32.707,67.293,33.27,224,0.875,bilinear,-87.180,-65.833,-12
regnety_016,5.680,94.320,30.413,69.587,11.20,224,0.875,bicubic,-87.350,-67.947,-11
selecsls60,5.653,94.347,32.507,67.493,30.67,224,0.875,bicubic,-87.377,-65.793,-10
res2next50,5.627,94.373,30.867,69.133,24.67,224,0.875,bilinear,-87.213,-67.313,-9
tf_efficientnet_em,5.520,94.480,32.173,67.827,6.90,240,0.882,bicubic,-87.960,-66.267,-38
resnet50,5.933,94.067,29.093,70.907,25.56,224,0.875,bicubic,-87.877,-69.297,-58
dla102,5.880,94.120,32.707,67.293,33.27,224,0.875,bilinear,-87.180,-65.833,-16
regnety_016,5.680,94.320,30.413,69.587,11.20,224,0.875,bicubic,-87.350,-67.947,-15
selecsls60,5.653,94.347,32.507,67.493,30.67,224,0.875,bicubic,-87.377,-65.793,-14
res2next50,5.627,94.373,30.867,69.133,24.67,224,0.875,bilinear,-87.213,-67.313,-12
tf_efficientnet_em,5.520,94.480,32.173,67.827,6.90,240,0.882,bicubic,-87.960,-66.267,-42
hrnet_w18,5.493,94.507,30.960,69.040,21.30,224,0.875,bilinear,-86.827,-67.280,+12
resnest14d,5.480,94.520,28.547,71.453,10.61,224,0.875,bilinear,-86.240,-69.323,+26
tf_efficientnet_lite2,5.360,94.640,30.907,69.093,6.09,260,0.890,bicubic,-87.290,-67.323,-2
tf_efficientnet_lite2,5.360,94.640,30.907,69.093,6.09,260,0.890,bicubic,-87.290,-67.323,-3
tf_efficientnet_b0_ap,5.307,94.693,28.813,71.187,5.29,224,0.875,bicubic,-86.893,-69.207,+14
densenet121,5.293,94.707,29.907,70.093,7.98,224,0.875,bicubic,-86.277,-68.123,+24
res2net50_26w_4s,5.160,94.840,29.360,70.640,25.70,224,0.875,bilinear,-87.340,-68.700,+2
res2net50_26w_4s,5.160,94.840,29.360,70.640,25.70,224,0.875,bilinear,-87.340,-68.930,+1
tf_mixnet_m,5.080,94.920,28.147,71.853,5.01,224,0.875,bicubic,-87.250,-69.743,+5
mobilenetv3_large_100,5.067,94.933,28.187,71.813,5.48,224,0.875,bicubic,-86.253,-69.523,+24
tf_efficientnet_b0,5.067,94.933,28.800,71.200,5.29,224,0.875,bicubic,-87.183,-69.200,+7
res2net50_14w_8s,5.040,94.960,28.773,71.227,25.06,224,0.875,bilinear,-87.700,-69.407,-14
mobilenetv3_large_100,5.067,94.933,28.187,71.813,5.48,224,0.875,bicubic,-86.253,-69.523,+24
res2net50_14w_8s,5.040,94.960,28.773,71.227,25.06,224,0.875,bilinear,-87.700,-69.407,-16
mixnet_s,4.907,95.093,28.573,71.427,4.13,224,0.875,bicubic,-86.923,-69.287,+15
mobilenetv3_rw,4.907,95.093,29.853,70.147,5.48,224,0.875,bicubic,-86.303,-67.807,+23
gluon_resnet50_v1c,4.893,95.107,28.147,71.853,25.58,224,0.875,bicubic,-88.137,-70.243,-28
regnetx_032,4.853,95.147,30.280,69.720,15.30,224,0.875,bicubic,-88.267,-68.110,-32
tv_resnext50_32x4d,4.840,95.160,30.307,69.693,25.03,224,0.875,bilinear,-87.900,-67.963,-18
resnet101,4.707,95.293,29.333,70.667,44.55,224,0.875,bilinear,-88.103,-68.917,-23
densenet161,4.693,95.307,29.547,70.453,28.68,224,0.875,bicubic,-87.807,-68.743,-10
gluon_resnet50_v1c,4.893,95.107,28.147,71.853,25.58,224,0.875,bicubic,-88.137,-70.243,-32
regnetx_032,4.853,95.147,30.280,69.720,15.30,224,0.875,bicubic,-88.267,-68.110,-36
tv_resnext50_32x4d,4.840,95.160,30.307,69.693,25.03,224,0.875,bilinear,-87.900,-67.963,-20
tv_resnet101,4.707,95.293,29.333,70.667,44.55,224,0.875,bilinear,-88.103,-68.917,-26
densenet161,4.693,95.307,29.547,70.453,28.68,224,0.875,bicubic,-87.807,-68.513,-9
selecsls42b,4.667,95.333,28.587,71.413,32.46,224,0.875,bicubic,-87.613,-69.563,-3
tf_efficientnet_lite1,4.613,95.387,28.387,71.613,5.42,240,0.882,bicubic,-88.007,-69.693,-17
mobilenetv2_120d,4.533,95.467,29.280,70.720,5.83,224,0.875,bicubic,-87.867,-68.770,-10
fbnetc_100,4.133,95.867,25.933,74.067,5.57,224,0.875,bilinear,-86.567,-71.277,+25
densenet201,4.120,95.880,27.547,72.453,20.01,224,0.875,bicubic,-88.630,-70.683,-27
fbnetc_100,4.133,95.867,25.933,74.067,5.57,224,0.875,bilinear,-86.567,-71.277,+26
densenet201,4.120,95.880,27.547,72.453,20.01,224,0.875,bicubic,-88.630,-70.683,-29
gluon_resnet50_v1b,4.120,95.880,26.933,73.067,25.56,224,0.875,bicubic,-88.420,-71.237,-17
resnet26d,4.040,95.960,28.520,71.480,16.01,224,0.875,bicubic,-88.030,-69.440,-4
semnasnet_100,3.960,96.040,26.947,73.053,3.89,224,0.875,bicubic,-87.320,-70.613,+8
@ -200,43 +218,46 @@ tf_mixnet_s,3.880,96.120,25.253,74.747,4.13,224,0.875,bicubic,-87.630,-72.367,+4
dpn68,3.867,96.133,26.080,73.920,12.61,224,0.875,bicubic,-88.143,-71.970,-6
regnety_008,3.813,96.187,27.133,72.867,6.26,224,0.875,bicubic,-87.937,-71.047,-1
dla60,3.773,96.227,27.933,72.067,22.04,224,0.875,bilinear,-88.457,-70.177,-12
ssl_resnet18,3.747,96.253,25.427,74.573,11.69,224,0.875,bilinear,-86.473,-72.123,+22
ssl_resnet18,3.747,96.253,25.427,74.573,11.69,224,0.875,bilinear,-86.473,-72.123,+23
mobilenetv2_140,3.720,96.280,26.747,73.253,6.11,224,0.875,bicubic,-88.110,-70.943,-6
densenet169,3.707,96.293,25.613,74.387,14.15,224,0.875,bicubic,-88.223,-72.487,-10
regnetx_016,3.627,96.373,26.293,73.707,9.19,224,0.875,bicubic,-88.543,-71.917,-14
res2net50_48w_2s,3.587,96.413,26.613,73.387,25.29,224,0.875,bilinear,-88.963,-71.467,-30
spnasnet_100,3.547,96.453,24.293,75.707,4.42,224,0.875,bilinear,-86.803,-72.897,+16
spnasnet_100,3.547,96.453,24.293,75.707,4.42,224,0.875,bilinear,-86.803,-72.897,+17
tf_mobilenetv3_large_100,3.547,96.453,25.053,74.947,5.48,224,0.875,bilinear,-87.693,-72.607,-2
regnety_006,3.467,96.533,24.893,75.107,6.06,224,0.875,bicubic,-87.903,-72.817,-6
tf_efficientnet_es,3.427,96.573,27.493,72.507,5.44,224,0.875,bicubic,-89.123,-70.787,-33
efficientnet_lite0,3.253,96.747,25.867,74.133,4.65,224,0.875,bicubic,-87.887,-71.763,-2
legacy_seresnet34,3.333,96.667,23.800,76.200,21.96,224,0.875,bilinear,-87.557,-73.780,+5
efficientnet_lite0,3.253,96.747,25.867,74.133,4.65,224,0.875,bicubic,-87.887,-71.763,-3
dla34,3.227,96.773,23.573,76.427,15.74,224,0.875,bilinear,-87.533,-74.087,+5
regnety_004,3.200,96.800,22.653,77.347,4.34,224,0.875,bicubic,-87.300,-74.887,+8
mobilenetv2_110d,3.173,96.827,24.587,75.413,4.52,224,0.875,bicubic,-87.777,-72.963,+1
mobilenetv2_110d,3.173,96.827,24.587,75.413,4.52,224,0.875,bicubic,-87.777,-72.963,0
mnasnet_100,3.120,96.880,24.227,75.773,4.38,224,0.875,bicubic,-87.390,-73.243,+5
tf_efficientnet_lite0,3.080,96.920,22.907,77.093,4.65,224,0.875,bicubic,-87.960,-74.683,-3
tf_efficientnet_lite0,3.080,96.920,22.907,77.093,4.65,224,0.875,bicubic,-87.960,-74.683,-4
skresnet18,3.013,96.987,22.800,77.200,11.96,224,0.875,bicubic,-86.647,-74.430,+10
resnet34,2.920,97.080,23.680,76.320,21.80,224,0.875,bilinear,-88.210,-73.940,-8
resnet34,2.920,97.080,23.680,76.320,21.80,224,0.875,bilinear,-88.210,-73.940,-9
tf_mobilenetv3_large_075,2.867,97.133,21.573,78.427,3.99,224,0.875,bilinear,-86.813,-75.637,+7
hrnet_w18_small_v2,2.720,97.280,23.693,76.307,15.60,224,0.875,bilinear,-88.470,-74.207,-12
gluon_resnet34_v1b,2.667,97.333,21.680,78.320,21.80,224,0.875,bicubic,-88.293,-75.950,-7
regnetx_008,2.653,97.347,22.453,77.547,7.26,224,0.875,bicubic,-88.397,-75.257,-10
tv_densenet121,2.560,97.440,22.667,77.333,7.98,224,0.875,bicubic,-88.330,-75.043,-7
regnetx_006,2.507,97.493,20.653,79.347,6.20,224,0.875,bicubic,-87.843,-76.777,-2
resnet26,2.480,97.520,22.987,77.013,16.00,224,0.875,bicubic,-88.630,-74.753,-14
hrnet_w18_small_v2,2.720,97.280,23.693,76.307,15.60,224,0.875,bilinear,-88.470,-74.207,-13
gluon_resnet34_v1b,2.667,97.333,21.680,78.320,21.80,224,0.875,bicubic,-88.293,-75.950,-8
regnetx_008,2.653,97.347,22.453,77.547,7.26,224,0.875,bicubic,-88.397,-75.257,-11
resnet18d,2.600,97.400,21.613,78.387,11.71,224,0.875,bicubic,-86.680,-75.537,+6
tv_densenet121,2.560,97.440,22.667,77.333,7.98,224,0.875,bicubic,-88.330,-75.043,-8
regnetx_006,2.507,97.493,20.653,79.347,6.20,224,0.875,bicubic,-87.843,-76.777,-3
legacy_seresnet18,2.493,97.507,20.080,79.920,11.78,224,0.875,bicubic,-86.387,-76.900,+7
resnet26,2.480,97.520,22.987,77.013,16.00,224,0.875,bicubic,-88.630,-74.753,-17
regnety_002,2.147,97.853,18.880,81.120,3.16,224,0.875,bicubic,-85.233,-77.710,+7
mobilenetv2_100,2.147,97.853,19.907,80.093,3.50,224,0.875,bicubic,-87.453,-77.233,+2
mobilenetv2_100,2.147,97.853,19.907,80.093,3.50,224,0.875,bicubic,-87.453,-77.233,0
tf_mobilenetv3_small_100,2.013,97.987,15.867,84.133,2.54,224,0.875,bilinear,-83.177,-79.903,+9
tf_mobilenetv3_small_075,2.000,98.000,14.813,85.187,2.04,224,0.875,bilinear,-81.520,-79.977,+11
regnetx_004,1.960,98.040,19.173,80.827,5.16,224,0.875,bicubic,-86.940,-77.947,+1
tv_resnet34,1.867,98.133,20.000,80.000,21.80,224,0.875,bilinear,-88.073,-77.340,-6
regnetx_004,1.960,98.040,19.173,80.827,5.16,224,0.875,bicubic,-86.940,-77.947,0
tv_resnet34,1.867,98.133,20.000,80.000,21.80,224,0.875,bilinear,-88.073,-77.340,-8
dla46x_c,1.760,98.240,16.480,83.520,1.07,224,0.875,bilinear,-82.490,-78.790,+6
tf_mobilenetv3_large_minimal_100,1.627,98.373,17.120,82.880,3.92,224,0.875,bilinear,-87.343,-79.740,-3
tf_mobilenetv3_large_minimal_100,1.627,98.373,17.120,82.880,3.92,224,0.875,bilinear,-87.343,-79.740,-4
dla60x_c,1.613,98.387,18.040,81.960,1.32,224,0.875,bilinear,-84.677,-78.120,+1
gluon_resnet18_v1b,1.547,98.453,16.613,83.387,11.69,224,0.875,bicubic,-86.853,-80.067,-3
hrnet_w18_small,1.533,98.467,18.120,81.880,13.19,224,0.875,bilinear,-87.517,-78.990,-7
hrnet_w18_small,1.533,98.467,18.120,81.880,13.19,224,0.875,bilinear,-87.517,-78.990,-8
dla46_c,1.520,98.480,15.267,84.733,1.30,224,0.875,bilinear,-82.130,-79.653,+2
regnetx_002,1.373,98.627,15.027,84.973,2.68,224,0.875,bicubic,-84.817,-80.953,-2
resnet18,1.160,98.840,16.213,83.787,11.69,224,0.875,bilinear,-86.230,-80.077,-6
tf_mobilenetv3_small_minimal_100,1.013,98.987,11.493,88.507,2.04,224,0.875,bilinear,-80.367,-82.177,+1
tv_resnet50,0.000,100.000,14.453,85.547,25.56,224,0.875,bilinear,-91.880,-83.587,-45
tv_resnet50,0.000,100.000,14.453,85.547,25.56,224,0.875,bilinear,-91.880,-83.587,-48

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
6 ig_resnext101_32x48d 61.013 38.987 83.347 16.653 828.41 224 0.875 bilinear -36.607 -16.353 0
7 tf_efficientnet_b5_ns 60.320 39.680 84.493 15.507 30.39 456 0.934 bicubic -37.180 -15.137 0
8 ig_resnext101_32x32d 58.093 41.907 80.653 19.347 468.53 224 0.875 bilinear -39.267 -19.027 0
9 vit_large_patch16_384 53.867 46.133 80.320 19.680 304.72 384 1.000 bicubic -43.243 -19.320 +4
10 ig_resnext101_32x16d 53.067 46.933 76.907 23.093 194.03 224 0.875 bilinear -43.753 -22.683 +7
11 tf_efficientnet_b4_ns 51.213 48.787 79.187 20.813 19.34 380 0.922 bicubic -45.737 -20.393 +5
12 swsl_resnext101_32x8d 51.187 48.813 78.240 21.760 88.79 224 0.875 bilinear -46.013 -21.330 -2 -3
13 tf_efficientnet_b8 vit_base_patch16_384 48.947 50.613 51.053 49.387 77.240 78.200 22.760 21.800 87.41 86.86 672 384 0.954 1.000 bicubic -48.253 -46.087 -22.260 -21.310 -1 +5
14 tf_efficientnet_b8 48.947 51.053 77.240 22.760 87.41 672 0.954 bicubic -48.253 -22.260 -3
15 resnest269e 48.187 51.813 74.333 25.667 110.93 416 0.928 bicubic -48.333 -25.017 +8
16 tf_efficientnet_b8_ap 46.893 53.107 76.507 23.493 87.41 672 0.954 bicubic -50.217 -23.153 -2 -4
17 swsl_resnext101_32x16d 46.200 53.800 72.200 27.800 194.03 224 0.875 bilinear -50.400 -27.320 +5
18 tf_efficientnet_b7_ap 45.373 54.627 74.213 25.787 66.35 600 0.949 bicubic -51.827 -25.327 -6 -8
19 ig_resnext101_32x8d 45.320 54.680 70.867 29.133 88.79 224 0.875 bilinear -51.000 -28.563 +8
20 resnest200e 44.147 55.853 73.467 26.533 70.20 320 0.909 bicubic -52.463 -25.883 +1
21 tresnet_xl_448 43.480 56.520 72.453 27.547 78.44 448 0.875 bilinear -52.490 -26.677 +8
22 tf_efficientnet_b7 42.960 57.040 73.133 26.867 66.35 600 0.949 bicubic -54.050 -26.387 -6 -7
23 swsl_resnext101_32x4d 41.560 58.440 71.760 28.240 44.18 224 0.875 bilinear -54.860 -27.710 +1
24 tf_efficientnet_b6_ap 40.800 59.200 71.627 28.373 43.04 528 0.942 bicubic -56.280 -27.993 -9 -10
25 tresnet_l_448 40.200 59.800 69.893 30.107 55.99 448 0.875 bilinear -55.660 -29.227 +8
26 tf_efficientnet_b3_ns vit_large_patch32_384 35.520 38.933 64.480 61.067 67.773 68.920 32.227 31.080 12.23 306.63 300 384 0.904 1.000 bicubic -60.870 -56.897 -31.577 -30.230 -1 +8
27 tf_efficientnet_b6 tf_efficientnet_b3_ns 35.213 35.520 64.787 64.480 67.720 67.773 32.280 32.227 43.04 12.23 528 300 0.942 0.904 bicubic -61.457 -60.870 -31.650 -31.577 -7 -2
28 tf_efficientnet_b5_ap tf_efficientnet_b6 34.787 35.213 65.213 64.787 67.493 67.720 32.507 32.280 30.39 43.04 456 528 0.934 0.942 bicubic -61.893 -61.457 -31.967 -31.650 -9 -8
29 tresnet_m_448 tf_efficientnet_b5_ap 34.107 34.787 65.893 65.213 64.493 67.493 35.507 32.507 31.39 30.39 448 456 0.875 0.934 bilinear bicubic -60.883 -61.893 -34.487 -31.967 +22 -10
30 swsl_resnext50_32x4d tresnet_m_448 33.013 34.107 66.987 65.893 65.067 64.493 34.933 35.507 25.03 31.39 224 448 0.875 bilinear -62.857 -60.883 -34.183 -34.487 +1 +27
31 vit_base_patch32_384 33.613 66.387 65.240 34.760 88.30 384 1.000 bicubic -62.197 -33.910 +4
32 swsl_resnext50_32x4d 33.013 66.987 65.067 34.933 25.03 224 0.875 bilinear -62.857 -34.183 -1
33 ssl_resnext101_32x16d 32.600 67.400 64.000 36.000 194.03 224 0.875 bilinear -63.200 -35.180 +3
34 tf_efficientnet_b5 31.840 68.160 65.293 34.707 30.39 456 0.934 bicubic -64.510 -34.017 -6 -8
35 resnest101e 31.413 68.587 64.360 35.640 48.28 256 0.875 bilinear -64.447 -34.850 -1 -3
36 swsl_resnet50 29.867 70.133 63.853 36.147 25.56 224 0.875 bilinear -65.543 -35.437 +8 +10
37 ssl_resnext101_32x8d 29.040 70.960 60.973 39.027 88.79 224 0.875 bilinear -66.430 -38.137 +4 +6
38 tf_efficientnet_b4 26.293 73.707 60.107 39.893 19.34 380 0.922 bicubic -69.607 -39.063 -6 -8
39 tf_efficientnet_b4_ap 26.240 73.760 60.227 39.773 19.34 380 0.922 bicubic -69.920 -39.053 -9 -11
40 ecaresnet101d 26.027 73.973 58.987 41.013 44.57 224 0.875 bicubic -69.503 -40.143 0 +2
41 ssl_resnext101_32x4d 24.173 75.827 57.413 42.587 44.18 224 0.875 bilinear -71.267 -41.717 +1 +3
42 tf_efficientnet_b2_ns 24.013 75.987 57.293 42.707 9.11 260 0.890 bicubic -71.757 -41.827 -5
43 nasnetalarge 23.493 76.507 55.027 44.973 88.75 331 0.911 bicubic -72.187 -43.903 -4 -3
44 efficientnet_b3 23.453 76.547 56.587 43.413 12.23 300 0.904 bicubic -72.127 -42.513 -3
45 pnasnet5large 23.333 76.667 53.640 46.360 86.06 331 0.911 bicubic -72.377 -45.280 -6
46 resnest50d_4s2x40d efficientnet_b3a 20.387 23.213 79.613 76.787 52.800 55.960 47.200 44.040 30.42 12.23 224 320 0.875 1.000 bicubic -74.573 -72.497 -46.270 -43.080 +9 -8
47 ssl_resnext50_32x4d regnety_032 20.000 21.867 80.000 78.133 53.613 55.267 46.387 44.733 25.03 19.44 224 0.875 bilinear bicubic -74.870 -73.493 -45.267 -43.813 +14 0
48 tresnet_xl resnest50d_4s2x40d 19.640 20.387 80.360 79.613 53.133 52.800 46.867 47.200 78.44 30.42 224 0.875 bilinear bicubic -75.800 -74.573 -45.917 -46.270 -4 +10
49 gluon_senet154 ssl_resnext50_32x4d 19.307 20.000 80.693 80.000 47.533 53.613 52.467 46.387 115.09 25.03 224 0.875 bicubic bilinear -75.613 -74.870 -51.227 -45.267 +9 +15
50 rexnet_200 tresnet_xl 19.227 19.640 80.773 80.360 52.720 53.133 47.280 46.867 16.37 78.44 224 0.875 bicubic bilinear -75.713 -75.800 -46.290 -45.917 +6 -5
51 gluon_senet154 19.307 80.693 47.533 52.467 115.09 224 0.875 bicubic -75.613 -51.227 +10
52 rexnet_200 19.227 80.773 52.720 47.280 16.37 224 0.875 bicubic -75.713 -46.290 +7
53 legacy_senet154 19.053 80.947 47.947 52.053 115.09 224 0.875 bilinear -76.017 -50.883 0
54 gluon_seresnext101_64x4d 18.907 81.093 49.187 50.813 88.23 224 0.875 bicubic -76.023 -49.643 +6
55 tf_efficientnet_b1_ns 18.693 81.307 51.667 48.333 7.79 240 0.882 bicubic -76.477 -47.443 -4 -5
56 efficientnet_b3 seresnext50_32x4d 18.693 18.360 81.307 81.640 52.347 50.973 47.653 49.027 12.23 27.56 300 224 0.904 0.875 bicubic -76.387 -76.680 -46.633 -47.907 -1
57 efficientnet_b3a ecaresnet50d 18.600 18.227 81.400 81.773 51.640 51.880 48.360 48.120 12.23 25.58 320 224 1.000 0.875 bicubic -76.660 -76.403 -47.290 -47.010 -6 +16
58 ecaresnet50d tf_efficientnet_lite4 18.227 18.133 81.773 81.867 51.893 50.707 48.107 49.293 25.58 13.01 224 380 0.875 0.920 bicubic bilinear -76.403 -76.757 -46.997 -48.313 +15 +5
59 tf_efficientnet_lite4 resnest50d_1s4x24d 18.133 17.693 81.867 82.307 50.707 49.800 49.293 50.200 13.01 25.68 380 224 0.920 0.875 bilinear bicubic -76.757 -77.057 -48.313 -49.180 +4 +8
60 resnest50d_1s4x24d gluon_seresnext101_32x4d 17.693 17.373 82.307 82.627 49.800 46.373 50.200 53.627 25.68 48.96 224 0.875 bicubic -77.057 -77.547 -49.180 -52.437 +7 +2
61 gluon_seresnext101_32x4d resnest50d 17.373 82.627 46.373 50.707 53.627 49.293 48.96 27.48 224 0.875 bicubic bilinear -77.547 -77.457 -52.437 -48.173 +1 +4
62 resnest50d inception_v4 17.373 17.267 82.627 82.733 50.707 45.920 49.293 54.080 27.48 42.68 224 299 0.875 bilinear bicubic -77.457 -77.113 -48.173 -52.660 +3 +26
inception_v4 17.267 82.733 45.920 54.080 42.68 299 0.875 bicubic -77.113 -52.660 +25
63 tf_efficientnet_b3_ap 17.187 82.813 49.680 50.320 12.23 300 0.904 bicubic -78.133 -49.220 -15
64 tf_efficientnet_b3 17.000 83.000 49.267 50.733 12.23 300 0.904 bicubic -78.010 -49.643 -9 -8
65 xception71 17.000 83.000 45.520 54.480 42.34 299 0.903 bicubic -77.280 -53.120 +27 +29
66 gluon_resnext101_64x4d 16.853 83.147 44.213 55.787 83.46 224 0.875 bicubic -77.817 -54.437 +4 +5
67 tresnet_l 16.600 83.400 49.920 50.080 55.99 224 0.875 bilinear -78.690 -49.090 -18
68 inception_resnet_v2 gluon_resnet152_v1d 16.573 83.427 44.960 44.280 55.040 55.720 55.84 60.21 299 224 0.897 0.875 bicubic -77.967 -78.167 -53.830 -54.460 +8 0
69 gluon_resnet152_v1s 16.573 83.427 44.533 55.467 60.32 224 0.875 bicubic -78.467 -54.397 -15
70 gluon_resnet152_v1d inception_resnet_v2 16.573 83.427 44.280 44.960 55.720 55.040 60.21 55.84 224 299 0.875 0.897 bicubic -78.167 -77.967 -54.460 -53.830 -1 +9
71 gluon_xception65 vit_base_patch16_224 16.440 16.493 83.560 83.507 46.027 47.427 53.973 52.573 39.92 86.54 299 224 0.903 0.900 bicubic -77.820 -77.307 -52.543 -51.043 +22 +58
72 ens_adv_inception_resnet_v2 gluon_xception65 16.240 16.440 83.760 83.560 43.640 46.027 56.360 53.973 55.84 39.92 299 0.897 0.903 bicubic -77.920 -77.820 -54.960 -52.543 +31 +23
73 xception65 wide_resnet50_2 16.027 16.280 83.973 83.720 43.773 48.347 56.227 51.653 39.92 68.88 299 224 0.903 0.875 bicubic -77.733 -78.800 -54.597 -50.633 +53 -22
74 ssl_resnet50 ens_adv_inception_resnet_v2 15.960 16.240 84.040 83.760 49.467 43.640 50.533 56.360 25.56 55.84 224 299 0.875 0.897 bilinear bicubic -78.490 -77.920 -49.453 -54.960 +12 +32
75 regnety_320 xception65 15.627 16.027 84.373 83.973 44.827 43.773 55.173 56.227 145.05 39.92 224 299 0.875 0.903 bicubic -78.913 -77.733 -54.023 -54.597 +4 +56
76 ecaresnet101d_pruned ssl_resnet50 15.600 15.960 84.400 84.040 48.027 49.467 51.973 50.533 24.88 25.56 224 0.875 bicubic bilinear -79.480 -78.490 -50.953 -49.453 -24 +11
77 skresnext50_32x4d regnety_320 15.373 15.627 84.627 84.373 44.493 44.827 55.507 55.173 27.48 145.05 224 0.875 bicubic -78.887 -78.913 -53.967 -54.023 +17 +3
78 ecaresnetlight ecaresnet101d_pruned 15.160 15.600 84.840 84.400 45.827 48.027 54.173 51.973 30.16 24.88 224 0.875 bicubic -79.610 -79.480 -52.973 -50.943 -13 -26
79 rexnet_150 skresnext50_32x4d 14.720 15.373 85.280 84.627 46.907 44.493 53.093 55.507 9.73 27.48 224 0.875 bicubic -79.760 -78.887 -51.903 -53.967 +4 +18
80 efficientnet_b2a ecaresnetlight 14.440 15.160 85.560 84.840 46.080 45.813 53.920 54.187 9.11 30.16 288 224 1.000 0.875 bicubic -80.170 -79.610 -52.630 -52.987 -5 -14
81 seresnet50 rexnet_150 14.147 14.720 85.853 85.280 45.467 46.907 54.533 53.093 28.09 9.73 224 0.875 bicubic -80.403 -79.760 -53.283 -51.773 -4 +2
82 gluon_resnext101_32x4d efficientnet_b2a 13.867 14.440 86.133 85.560 41.653 46.080 58.347 53.920 44.18 9.11 224 288 0.875 1.000 bicubic -80.663 -80.170 -56.977 -52.630 -2 -6
83 gluon_seresnext50_32x4d seresnet50 13.600 14.147 86.400 85.853 43.760 45.467 56.240 54.533 27.56 28.09 224 0.875 bicubic -80.740 -80.403 -54.850 -53.283 +6 -6
84 legacy_seresnext101_32x4d 14.147 85.853 42.973 57.027 48.96 224 0.875 bilinear -80.223 -55.677 +6
85 gluon_resnext101_32x4d 13.867 86.133 41.653 58.347 44.18 224 0.875 bicubic -80.663 -56.977 -4
86 gluon_seresnext50_32x4d 13.600 86.400 43.760 56.240 27.56 224 0.875 bicubic -80.740 -55.090 +6
87 ese_vovnet39b 13.320 86.680 43.813 56.187 24.57 224 0.875 bicubic -80.770 -54.847 +26
88 efficientnet_b2 13.307 86.693 44.440 55.560 9.11 260 0.875 bicubic -81.393 -54.230 -16 -18
89 regnetx_320 13.307 86.693 40.720 59.280 107.81 224 0.875 bicubic -81.153 -58.020 -1 -3
90 efficientnet_b3_pruned 13.173 86.827 45.213 54.787 9.86 300 0.904 bicubic -81.457 -53.547 -14 -16
91 gluon_resnet101_v1d 13.160 86.840 41.493 58.507 44.57 224 0.875 bicubic -81.060 -57.057 -57.237 +10 +9
92 mixnet_xl 13.120 86.880 43.253 56.747 11.90 224 0.875 bicubic -81.070 -55.087 +11
93 gluon_inception_v3 12.640 87.360 40.493 59.507 23.83 299 0.875 bicubic -80.820 -58.077 -58.037 +53 +58
94 tresnet_m 12.600 87.400 41.893 58.107 31.39 224 0.875 bilinear -82.020 -56.657 -17 -19
95 regnety_120 12.427 87.573 42.200 57.800 51.82 224 0.875 bicubic -82.053 -56.480 -56.610 -10 -11
96 regnety_160 efficientnet_em 12.200 12.360 87.800 87.640 41.320 43.880 58.680 56.120 83.59 6.90 224 240 0.875 0.882 bicubic -82.140 -81.480 -57.530 -54.930 -3 +29
97 hrnet_w64 regnety_160 12.027 12.200 87.973 87.800 40.787 41.320 59.213 58.680 128.06 83.59 224 0.875 bilinear bicubic -81.983 -82.140 -57.823 -57.290 +19 -6
98 cspdarknet53 vit_small_patch16_224 12.013 12.147 87.987 87.853 43.253 40.320 56.747 59.680 27.64 48.75 256 224 0.887 0.900 bilinear bicubic -82.647 -80.613 -55.547 -57.610 -24 +85
99 gluon_resnet101_v1s hrnet_w64 11.880 12.027 88.120 87.973 40.973 40.787 59.027 59.213 44.67 128.06 224 0.875 bicubic bilinear -82.840 -81.983 -57.847 -57.823 -28 +17
100 dpn92 cspdarknet53 11.627 12.013 88.373 87.987 40.267 43.253 59.733 56.747 37.67 27.64 224 256 0.875 0.887 bicubic bilinear -82.603 -82.647 -58.463 -55.547 -1 -28
101 xception41 gluon_resnet101_v1s 11.600 11.880 88.400 88.120 39.133 40.973 60.867 59.027 26.97 44.67 299 224 0.903 0.875 bicubic -81.830 -82.840 -59.297 -57.847 +48 -32
102 dla102x2 resnet50d 11.573 11.693 88.427 88.307 41.293 42.453 58.707 57.547 41.28 25.58 224 0.875 bilinear bicubic -82.377 -82.567 -57.197 -56.267 +16 -6
103 regnety_080 dpn92 11.413 11.627 88.587 88.373 40.613 40.267 59.387 59.733 39.18 37.67 224 0.875 bicubic -82.757 -82.603 -58.067 -58.463 +2 -4
104 efficientnet_b2_pruned xception41 11.360 11.600 88.640 88.400 42.027 39.133 57.973 60.867 8.31 26.97 260 299 0.890 0.903 bicubic -82.780 -81.830 -56.503 -59.297 +5 +49
105 gluon_resnet152_v1c dla102x2 11.093 11.573 88.907 88.427 37.120 41.293 62.880 58.707 60.21 41.28 224 0.875 bicubic bilinear -83.067 -82.377 -61.520 -57.197 +2 +13
106 dpn107 regnety_080 11.080 11.413 88.920 88.587 38.693 40.613 61.307 59.387 86.92 39.18 224 0.875 bicubic -83.230 -82.757 -59.787 -58.067 -12 -1
107 hrnet_w48 efficientnet_b2_pruned 11.080 11.360 88.920 88.640 40.320 42.027 59.680 57.973 77.47 8.31 224 260 0.875 0.890 bilinear bicubic -82.840 -82.780 -58.290 -56.503 +12 +2
108 ecaresnet50d_pruned gluon_resnet152_v1c 11.027 11.093 88.973 88.907 41.947 37.120 58.053 62.880 19.94 60.21 224 0.875 bicubic -83.193 -83.067 -56.783 -61.520 -8 -1
109 adv_inception_v3 dpn107 11.013 11.080 88.987 88.920 36.720 38.693 63.280 61.307 23.83 86.92 299 224 0.875 bicubic -81.867 -83.230 -61.420 -59.787 +63 -16
110 tf_efficientnet_el hrnet_w48 10.960 11.080 89.040 88.920 41.773 40.320 58.227 59.680 10.59 77.47 300 224 0.904 0.875 bicubic bilinear -83.630 -82.840 -56.977 -58.290 -31 +9
111 tf_efficientnet_b0_ns ecaresnet50d_pruned 10.933 11.027 89.067 88.973 40.067 41.947 59.933 58.053 5.29 19.94 224 0.875 bicubic -82.697 -83.193 -58.573 -56.603 +25 -10
112 tf_inception_v3 adv_inception_v3 10.840 11.013 89.160 88.987 36.853 36.720 63.147 63.280 23.83 299 0.875 bicubic -82.480 -81.867 -61.177 -61.420 +42 +65
113 resnext50_32x4d tf_efficientnet_el 10.800 10.960 89.200 89.040 40.307 41.773 59.693 58.227 25.03 10.59 224 300 0.875 0.904 bicubic -83.300 -83.630 -58.043 -56.977 -1 -36
114 dpn131 tf_efficientnet_b0_ns 10.787 10.933 89.213 89.067 37.200 40.067 62.800 59.933 79.25 5.29 224 0.875 bicubic -83.223 -82.697 -61.520 -58.573 +1 +26
115 tf_efficientnet_b2_ap tf_inception_v3 10.533 10.840 89.467 89.160 40.107 36.867 59.893 63.133 9.11 23.83 260 299 0.890 0.875 bicubic -83.957 -82.480 -58.513 -61.163 -31 +43
116 resnext50d_32x4d resnext50_32x4d 10.413 10.800 89.587 89.200 39.733 40.307 60.267 59.693 25.05 25.03 224 0.875 bicubic -83.767 -83.300 -58.837 -58.043 -12 -4
117 rexnet_130 dpn131 10.400 10.787 89.600 89.213 41.547 37.200 58.453 62.800 7.56 79.25 224 0.875 bicubic -83.500 -83.223 -56.853 -61.520 +3 -2
118 hrnet_w44 tf_efficientnet_b2_ap 10.320 10.533 89.680 89.467 39.507 40.107 60.493 59.893 67.06 9.11 224 260 0.875 0.890 bilinear bicubic -83.230 -83.957 -59.193 -58.513 +21 -36
119 resnext101_32x8d resnext50d_32x4d 10.187 10.413 89.813 89.587 37.827 39.733 62.173 60.267 88.79 25.05 224 0.875 bilinear bicubic -83.643 -83.767 -60.753 -58.837 +6 -15
120 regnetx_160 rexnet_130 10.147 10.400 89.853 89.600 38.000 41.547 62.000 58.453 54.28 7.56 224 0.875 bicubic -83.973 -83.500 -60.750 -56.853 -9 0
121 dpn98 hrnet_w44 10.133 10.320 89.867 89.680 36.587 39.507 63.413 60.493 61.57 67.06 224 0.875 bicubic bilinear -83.997 -83.230 -61.983 -59.193 -11 +22
122 cspresnext50 resnext101_32x8d 10.120 10.187 89.880 89.813 40.373 37.827 59.627 62.173 20.57 88.79 224 0.875 bilinear -84.360 -83.643 -58.417 -60.753 -35 +4
123 inception_v3 regnetx_160 10.027 10.147 89.973 89.853 35.213 38.000 64.787 62.000 23.83 54.28 299 224 0.875 bicubic -82.693 -83.973 -62.757 -60.750 +58 -12
124 xception dpn98 9.987 10.133 90.013 89.867 38.027 36.587 61.973 63.413 22.86 61.57 299 224 0.897 0.875 bicubic -83.473 -83.997 -60.503 -61.983 +23 -14
125 regnety_064 cspresnext50 9.947 10.120 90.053 89.880 39.067 40.373 60.933 59.627 30.58 20.57 224 0.875 bicubic bilinear -84.203 -84.360 -59.663 -58.417 -17 -40
126 legacy_seresnext50_32x4d 10.107 89.893 39.200 60.800 27.56 224 0.875 bilinear -83.623 -59.380 +9
127 inception_v3 10.027 89.973 35.227 64.773 23.83 299 0.875 bicubic -82.693 -62.743 +60
128 xception 9.987 90.013 38.027 61.973 22.86 299 0.897 bicubic -83.473 -60.543 +22
129 regnety_064 9.947 90.053 39.067 60.933 30.58 224 0.875 bicubic -84.203 -59.663 -21
130 dpn68b 9.787 90.213 38.053 61.947 12.61 224 0.875 bicubic -83.903 -60.457 +7
131 gluon_resnet152_v1b 9.747 90.253 36.067 63.933 60.19 224 0.875 bicubic -84.333 -62.383 -13 -17
132 tf_efficientnet_lite3 9.667 90.333 39.000 61.000 8.20 300 0.904 bilinear -84.533 -59.640 -26 -30
133 tf_efficientnet_b2 9.653 90.347 38.880 61.120 9.11 260 0.890 bicubic -84.707 -59.730 -38 -43
134 tf_efficientnet_cc_b1_8e 9.573 90.427 36.773 63.227 39.72 240 0.882 bicubic -84.327 -61.487 -9 -13
135 res2net101_26w_4s 9.520 90.480 35.027 64.973 45.21 224 0.875 bilinear -84.230 -63.283 -63.353 0 -3
136 seresnext26t_32x4d legacy_seresnet152 9.347 90.653 37.520 37.413 62.480 62.587 16.82 66.82 224 0.875 bicubic bilinear -83.723 -84.053 -60.590 -60.937 +34 +19
137 hrnet_w40 seresnext26t_32x4d 9.227 9.347 90.773 90.653 36.893 37.520 63.107 62.480 57.56 16.82 224 0.875 bilinear bicubic -84.263 -83.723 -61.687 -60.590 +11 +33
138 regnetx_120 cspresnet50 9.187 9.253 90.813 90.747 37.200 39.640 62.800 60.360 46.11 21.62 224 256 0.875 0.887 bicubic bilinear -85.053 -84.487 -61.450 -59.000 -36 -4
139 hrnet_w40 9.227 90.773 36.893 63.107 57.56 224 0.875 bilinear -84.263 -61.687 +9
140 regnetx_120 9.187 90.813 37.200 62.800 46.11 224 0.875 bicubic -85.053 -61.450 -42
141 seresnext26d_32x4d 9.147 90.853 36.840 63.160 16.81 224 0.875 bicubic -83.553 -61.310 +47
142 efficientnet_b1 9.120 90.880 37.360 62.640 7.79 240 0.875 bicubic -84.140 -60.810 +22 +21
143 resnest26d 9.080 90.920 37.853 62.147 17.07 224 0.875 bilinear -84.250 -60.777 +16 +14
144 regnety_040 9.000 91.000 37.053 62.947 20.65 224 0.875 bicubic -84.860 -61.597 -14 -20
145 gluon_resnext50_32x4d 8.947 91.053 36.333 63.667 25.03 224 0.875 bicubic -84.863 -62.077 -13 -18
146 rexnet_100 8.893 91.107 36.373 63.627 4.80 224 0.875 bicubic -84.137 -61.817 +30 +28
147 seresnext26tn_32x4d 8.893 91.107 36.907 63.093 16.81 224 0.875 bicubic -83.927 -61.463 +34 +33
148 mixnet_l 8.853 91.147 36.187 63.813 7.33 224 0.875 bicubic -84.597 -62.033 +6 +4
149 dla169 8.640 91.360 36.040 63.960 53.39 224 0.875 bilinear -84.700 -62.560 +9 +7
150 hrnet_w30 8.613 91.387 37.040 62.960 37.71 224 0.875 bilinear -84.587 -61.370 +15 +14
151 tf_efficientnet_b1_ap legacy_seresnet101 8.453 8.533 91.547 91.467 35.253 36.013 64.747 63.987 7.79 49.33 240 224 0.882 0.875 bicubic bilinear -85.237 -84.747 -63.107 -62.497 -11 +11
152 resnetblur50 tf_efficientnet_b1_ap 8.240 8.453 91.760 91.547 37.400 35.253 62.600 64.747 25.56 7.79 224 240 0.875 0.882 bicubic -85.720 -85.237 -61.190 -63.107 -29 -14
153 dla102x resnetblur50 8.200 8.240 91.800 91.760 37.013 37.400 62.987 62.600 26.31 25.56 224 0.875 bilinear bicubic -85.320 -85.720 -61.497 -61.190 -5 -36
154 hrnet_w32 dla102x 8.040 8.200 91.960 91.800 37.507 37.013 62.493 62.987 41.23 26.31 224 0.875 bilinear -85.490 -85.320 -60.943 -61.497 -7 -8
155 res2net50_26w_8s hrnet_w32 8.000 8.040 92.000 91.960 33.853 37.507 66.147 62.493 48.40 41.23 224 0.875 bilinear -85.540 -85.490 -64.407 -60.943 -9 -10
156 gluon_resnet101_v1c res2net50_26w_8s 7.987 8.000 92.013 92.000 33.360 33.853 66.640 66.147 44.57 48.40 224 0.875 bicubic bilinear -85.683 -85.540 -65.060 -64.407 -15 -12
157 gluon_resnet50_v1d gluon_resnet101_v1c 7.920 7.987 92.080 92.013 35.000 33.360 65.000 66.640 25.58 44.57 224 0.875 bicubic -85.850 -85.683 -63.390 -65.060 -23 -18
158 dla60_res2next gluon_resnet50_v1d 7.787 7.920 92.213 92.080 34.987 35.000 65.013 65.000 17.03 25.58 224 0.875 bilinear bicubic -85.393 -85.850 -63.423 -63.390 +9 -28
159 densenetblur121d dla60_res2next 7.720 7.787 92.280 92.213 34.733 34.987 65.267 65.013 8.00 17.03 224 0.875 bicubic bilinear -84.190 -85.393 -63.337 -63.433 +53 +6
160 regnety_032 densenetblur121d 7.680 7.720 92.320 92.280 34.227 34.733 65.773 65.267 19.44 8.00 224 0.875 bicubic -85.710 -84.190 -64.413 -63.337 -3 +54
161 dla60_res2net 7.560 92.440 34.627 65.373 20.85 224 0.875 bilinear -85.620 -63.793 -63.783 +5
162 efficientnet_b1_pruned 7.440 92.560 34.533 65.467 6.33 240 0.882 bicubic -85.330 -63.507 +21 +20
163 wide_resnet101_2 7.360 92.640 34.147 65.853 126.89 224 0.875 bilinear -86.360 -64.393 -25 -27
164 regnetx_064 7.333 92.667 34.373 65.627 26.21 224 0.875 bicubic -86.557 -64.257 -36 -42
165 gluon_resnet101_v1b 7.227 92.773 32.773 67.227 44.55 224 0.875 bicubic -86.523 -65.607 -65.537 -29 -32
166 gluon_resnet50_v1s 7.213 92.787 33.507 66.493 25.68 224 0.875 bicubic -86.407 -64.953 -26
167 efficientnet_b0 7.213 92.787 34.013 65.987 5.29 224 0.875 bicubic -85.477 -64.057 +23
168 gluon_resnet50_v1s tf_mixnet_l 7.213 7.147 92.787 92.853 33.507 31.613 66.493 68.387 25.68 7.33 224 0.875 bicubic -86.407 -86.163 -64.953 -66.417 -24 -9
169 tf_mixnet_l tf_efficientnet_b1 7.147 7.133 92.853 92.867 31.613 33.040 68.387 66.960 7.33 7.79 224 240 0.875 0.882 bicubic -86.163 -86.367 -66.417 -65.320 -7 -22
170 tf_efficientnet_b1 tf_efficientnet_cc_b0_8e 7.133 7.120 92.867 92.880 33.040 31.787 66.960 68.213 7.79 24.01 240 224 0.882 0.875 bicubic -86.367 -85.710 -65.320 -66.393 -20 +9
171 tf_efficientnet_cc_b0_8e ese_vovnet19b_dw 7.120 6.733 92.880 93.267 31.787 33.413 68.213 66.587 24.01 6.54 224 0.875 bicubic -85.710 -85.557 -66.393 -64.677 +10 +34
172 ese_vovnet19b_dw selecsls60b 6.733 93.267 33.413 33.267 66.587 66.733 6.54 32.77 224 0.875 bicubic -85.557 -86.567 -64.677 -65.013 +32 -12
173 selecsls60b efficientnet_es 6.733 6.707 93.267 93.293 33.267 33.840 66.733 66.160 32.77 5.44 224 0.875 bicubic -86.567 -86.433 -65.013 -64.580 -9 -6
174 efficientnet_es res2net50_26w_6s 6.707 6.693 93.293 93.307 33.840 31.653 66.160 68.347 5.44 37.05 224 0.875 bicubic bilinear -86.433 -86.717 -64.580 -66.627 -4 -20
175 res2net50_26w_6s legacy_seresnext26_32x4d 6.693 6.627 93.307 93.373 31.653 33.253 68.347 66.747 37.05 16.79 224 0.875 bilinear bicubic -86.717 -86.013 -66.627 -64.877 -18 +17
176 mixnet_m 6.627 93.373 32.053 67.947 5.01 224 0.875 bicubic -85.803 -65.817 +23 +24
177 skresnet34 6.480 93.520 31.547 68.453 22.28 224 0.875 bicubic -85.910 -66.603 +24 +25
178 dla60x 6.427 93.573 34.080 65.920 17.35 224 0.875 bilinear -86.693 -64.430 -7 -10
179 regnetx_080 resnet34d 6.307 6.400 93.693 93.600 32.320 31.493 67.680 68.507 39.57 21.82 224 0.875 bicubic -87.563 -86.280 -66.200 -66.817 -49 +11
180 swsl_resnet18 regnetx_080 6.240 6.307 93.760 93.693 31.600 32.320 68.400 67.680 11.69 39.57 224 0.875 bilinear bicubic -84.450 -87.563 -66.100 -66.200 +57 -57
181 resnet152 swsl_resnet18 6.040 6.240 93.960 93.760 32.053 31.600 67.947 68.400 60.19 11.69 224 0.875 bilinear -87.260 -84.450 -66.337 -66.100 -18 +58
182 wide_resnet50_2 legacy_seresnet50 6.000 6.187 94.000 93.813 32.147 32.653 67.853 67.347 68.88 28.09 224 0.875 bilinear -87.170 -86.773 -66.203 -65.537 -13 -6
183 regnetx_040 tv_resnet152 5.973 6.040 94.027 93.960 31.547 32.053 68.453 67.947 22.12 60.19 224 0.875 bicubic bilinear -87.587 -87.260 -66.993 -66.337 -38 -22
184 regnetx_040 5.973 94.027 31.547 68.453 22.12 224 0.875 bicubic -87.587 -66.993 -42
185 tf_efficientnet_cc_b0_4e 5.973 94.027 29.600 70.400 13.31 224 0.875 bicubic -86.617 -68.480 +9
186 resnet50 5.933 94.067 29.093 70.907 25.56 224 0.875 bicubic -87.877 -69.297 -51 -58
187 dla102 5.880 94.120 32.707 67.293 33.27 224 0.875 bilinear -87.180 -65.833 -12 -16
188 regnety_016 5.680 94.320 30.413 69.587 11.20 224 0.875 bicubic -87.350 -67.947 -11 -15
189 selecsls60 5.653 94.347 32.507 67.493 30.67 224 0.875 bicubic -87.377 -65.793 -10 -14
190 res2next50 5.627 94.373 30.867 69.133 24.67 224 0.875 bilinear -87.213 -67.313 -9 -12
191 tf_efficientnet_em 5.520 94.480 32.173 67.827 6.90 240 0.882 bicubic -87.960 -66.267 -38 -42
192 hrnet_w18 5.493 94.507 30.960 69.040 21.30 224 0.875 bilinear -86.827 -67.280 +12
193 resnest14d 5.480 94.520 28.547 71.453 10.61 224 0.875 bilinear -86.240 -69.323 +26
194 tf_efficientnet_lite2 5.360 94.640 30.907 69.093 6.09 260 0.890 bicubic -87.290 -67.323 -2 -3
195 tf_efficientnet_b0_ap 5.307 94.693 28.813 71.187 5.29 224 0.875 bicubic -86.893 -69.207 +14
196 densenet121 5.293 94.707 29.907 70.093 7.98 224 0.875 bicubic -86.277 -68.123 +24
197 res2net50_26w_4s 5.160 94.840 29.360 70.640 25.70 224 0.875 bilinear -87.340 -68.700 -68.930 +2 +1
198 tf_mixnet_m 5.080 94.920 28.147 71.853 5.01 224 0.875 bicubic -87.250 -69.743 +5
mobilenetv3_large_100 5.067 94.933 28.187 71.813 5.48 224 0.875 bicubic -86.253 -69.523 +24
199 tf_efficientnet_b0 5.067 94.933 28.800 71.200 5.29 224 0.875 bicubic -87.183 -69.200 +7
200 res2net50_14w_8s mobilenetv3_large_100 5.040 5.067 94.960 94.933 28.773 28.187 71.227 71.813 25.06 5.48 224 0.875 bilinear bicubic -87.700 -86.253 -69.407 -69.523 -14 +24
201 res2net50_14w_8s 5.040 94.960 28.773 71.227 25.06 224 0.875 bilinear -87.700 -69.407 -16
202 mixnet_s 4.907 95.093 28.573 71.427 4.13 224 0.875 bicubic -86.923 -69.287 +15
203 mobilenetv3_rw 4.907 95.093 29.853 70.147 5.48 224 0.875 bicubic -86.303 -67.807 +23
204 gluon_resnet50_v1c 4.893 95.107 28.147 71.853 25.58 224 0.875 bicubic -88.137 -70.243 -28 -32
205 regnetx_032 4.853 95.147 30.280 69.720 15.30 224 0.875 bicubic -88.267 -68.110 -32 -36
206 tv_resnext50_32x4d 4.840 95.160 30.307 69.693 25.03 224 0.875 bilinear -87.900 -67.963 -18 -20
207 resnet101 tv_resnet101 4.707 95.293 29.333 70.667 44.55 224 0.875 bilinear -88.103 -68.917 -23 -26
208 densenet161 4.693 95.307 29.547 70.453 28.68 224 0.875 bicubic -87.807 -68.743 -68.513 -10 -9
209 selecsls42b 4.667 95.333 28.587 71.413 32.46 224 0.875 bicubic -87.613 -69.563 -3
210 tf_efficientnet_lite1 4.613 95.387 28.387 71.613 5.42 240 0.882 bicubic -88.007 -69.693 -17
211 mobilenetv2_120d 4.533 95.467 29.280 70.720 5.83 224 0.875 bicubic -87.867 -68.770 -10
212 fbnetc_100 4.133 95.867 25.933 74.067 5.57 224 0.875 bilinear -86.567 -71.277 +25 +26
213 densenet201 4.120 95.880 27.547 72.453 20.01 224 0.875 bicubic -88.630 -70.683 -27 -29
214 gluon_resnet50_v1b 4.120 95.880 26.933 73.067 25.56 224 0.875 bicubic -88.420 -71.237 -17
215 resnet26d 4.040 95.960 28.520 71.480 16.01 224 0.875 bicubic -88.030 -69.440 -4
216 semnasnet_100 3.960 96.040 26.947 73.053 3.89 224 0.875 bicubic -87.320 -70.613 +8
218 dpn68 3.867 96.133 26.080 73.920 12.61 224 0.875 bicubic -88.143 -71.970 -6
219 regnety_008 3.813 96.187 27.133 72.867 6.26 224 0.875 bicubic -87.937 -71.047 -1
220 dla60 3.773 96.227 27.933 72.067 22.04 224 0.875 bilinear -88.457 -70.177 -12
221 ssl_resnet18 3.747 96.253 25.427 74.573 11.69 224 0.875 bilinear -86.473 -72.123 +22 +23
222 mobilenetv2_140 3.720 96.280 26.747 73.253 6.11 224 0.875 bicubic -88.110 -70.943 -6
223 densenet169 3.707 96.293 25.613 74.387 14.15 224 0.875 bicubic -88.223 -72.487 -10
224 regnetx_016 3.627 96.373 26.293 73.707 9.19 224 0.875 bicubic -88.543 -71.917 -14
225 res2net50_48w_2s 3.587 96.413 26.613 73.387 25.29 224 0.875 bilinear -88.963 -71.467 -30
226 spnasnet_100 3.547 96.453 24.293 75.707 4.42 224 0.875 bilinear -86.803 -72.897 +16 +17
227 tf_mobilenetv3_large_100 3.547 96.453 25.053 74.947 5.48 224 0.875 bilinear -87.693 -72.607 -2
228 regnety_006 3.467 96.533 24.893 75.107 6.06 224 0.875 bicubic -87.903 -72.817 -6
229 tf_efficientnet_es 3.427 96.573 27.493 72.507 5.44 224 0.875 bicubic -89.123 -70.787 -33
230 efficientnet_lite0 legacy_seresnet34 3.253 3.333 96.747 96.667 25.867 23.800 74.133 76.200 4.65 21.96 224 0.875 bicubic bilinear -87.887 -87.557 -71.763 -73.780 -2 +5
231 efficientnet_lite0 3.253 96.747 25.867 74.133 4.65 224 0.875 bicubic -87.887 -71.763 -3
232 dla34 3.227 96.773 23.573 76.427 15.74 224 0.875 bilinear -87.533 -74.087 +5
233 regnety_004 3.200 96.800 22.653 77.347 4.34 224 0.875 bicubic -87.300 -74.887 +8
234 mobilenetv2_110d 3.173 96.827 24.587 75.413 4.52 224 0.875 bicubic -87.777 -72.963 +1 0
235 mnasnet_100 3.120 96.880 24.227 75.773 4.38 224 0.875 bicubic -87.390 -73.243 +5
236 tf_efficientnet_lite0 3.080 96.920 22.907 77.093 4.65 224 0.875 bicubic -87.960 -74.683 -3 -4
237 skresnet18 3.013 96.987 22.800 77.200 11.96 224 0.875 bicubic -86.647 -74.430 +10
238 resnet34 2.920 97.080 23.680 76.320 21.80 224 0.875 bilinear -88.210 -73.940 -8 -9
239 tf_mobilenetv3_large_075 2.867 97.133 21.573 78.427 3.99 224 0.875 bilinear -86.813 -75.637 +7
240 hrnet_w18_small_v2 2.720 97.280 23.693 76.307 15.60 224 0.875 bilinear -88.470 -74.207 -12 -13
241 gluon_resnet34_v1b 2.667 97.333 21.680 78.320 21.80 224 0.875 bicubic -88.293 -75.950 -7 -8
242 regnetx_008 2.653 97.347 22.453 77.547 7.26 224 0.875 bicubic -88.397 -75.257 -10 -11
243 tv_densenet121 resnet18d 2.560 2.600 97.440 97.400 22.667 21.613 77.333 78.387 7.98 11.71 224 0.875 bicubic -88.330 -86.680 -75.043 -75.537 -7 +6
244 regnetx_006 tv_densenet121 2.507 2.560 97.493 97.440 20.653 22.667 79.347 77.333 6.20 7.98 224 0.875 bicubic -87.843 -88.330 -76.777 -75.043 -2 -8
245 resnet26 regnetx_006 2.480 2.507 97.520 97.493 22.987 20.653 77.013 79.347 16.00 6.20 224 0.875 bicubic -88.630 -87.843 -74.753 -76.777 -14 -3
246 legacy_seresnet18 2.493 97.507 20.080 79.920 11.78 224 0.875 bicubic -86.387 -76.900 +7
247 resnet26 2.480 97.520 22.987 77.013 16.00 224 0.875 bicubic -88.630 -74.753 -17
248 regnety_002 2.147 97.853 18.880 81.120 3.16 224 0.875 bicubic -85.233 -77.710 +7
249 mobilenetv2_100 2.147 97.853 19.907 80.093 3.50 224 0.875 bicubic -87.453 -77.233 +2 0
250 tf_mobilenetv3_small_100 2.013 97.987 15.867 84.133 2.54 224 0.875 bilinear -83.177 -79.903 +9
251 tf_mobilenetv3_small_075 2.000 98.000 14.813 85.187 2.04 224 0.875 bilinear -81.520 -79.977 +11
252 regnetx_004 1.960 98.040 19.173 80.827 5.16 224 0.875 bicubic -86.940 -77.947 +1 0
253 tv_resnet34 1.867 98.133 20.000 80.000 21.80 224 0.875 bilinear -88.073 -77.340 -6 -8
254 dla46x_c 1.760 98.240 16.480 83.520 1.07 224 0.875 bilinear -82.490 -78.790 +6
255 tf_mobilenetv3_large_minimal_100 1.627 98.373 17.120 82.880 3.92 224 0.875 bilinear -87.343 -79.740 -3 -4
256 dla60x_c 1.613 98.387 18.040 81.960 1.32 224 0.875 bilinear -84.677 -78.120 +1
257 gluon_resnet18_v1b 1.547 98.453 16.613 83.387 11.69 224 0.875 bicubic -86.853 -80.067 -3
258 hrnet_w18_small 1.533 98.467 18.120 81.880 13.19 224 0.875 bilinear -87.517 -78.990 -7 -8
259 dla46_c 1.520 98.480 15.267 84.733 1.30 224 0.875 bilinear -82.130 -79.653 +2
260 regnetx_002 1.373 98.627 15.027 84.973 2.68 224 0.875 bicubic -84.817 -80.953 -2
261 resnet18 1.160 98.840 16.213 83.787 11.69 224 0.875 bilinear -86.230 -80.077 -6
262 tf_mobilenetv3_small_minimal_100 1.013 98.987 11.493 88.507 2.04 224 0.875 bilinear -80.367 -82.177 +1
263 tv_resnet50 0.000 100.000 14.453 85.547 25.56 224 0.875 bilinear -91.880 -83.587 -45 -48

47
results/results-imagenet-r-clean.csv
Unescape View File

@ -12,10 +12,12 @@ tf_efficientnet_b7,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic
tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
ig_resnext101_32x16d,96.440,3.560,99.540,0.460,194.03,224,0.875,bilinear
tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
vit_large_patch16_384,96.360,3.640,99.630,0.370,304.72,384,1.000,bicubic
tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic
tf_efficientnet_b6,96.290,3.710,99.520,0.480,43.04,528,0.942,bicubic
swsl_resnext101_32x16d,96.270,3.730,99.500,0.500,194.03,224,0.875,bilinear
swsl_resnext101_32x8d,96.240,3.760,99.590,0.410,88.79,224,0.875,bilinear
vit_base_patch16_384,96.190,3.810,99.530,0.470,86.86,384,1.000,bicubic
resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic
tf_efficientnet_b3_ns,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic
tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
@ -33,31 +35,37 @@ tresnet_l_448,95.410,4.590,99.300,0.700,55.99,448,0.875,bilinear
ssl_resnext101_32x16d,95.410,4.590,99.410,0.590,194.03,224,0.875,bilinear
pnasnet5large,95.360,4.640,99.130,0.870,86.06,331,0.911,bicubic
ssl_resnext101_32x8d,95.340,4.660,99.320,0.680,88.79,224,0.875,bilinear
vit_base_patch32_384,95.260,4.740,99.180,0.820,88.30,384,1.000,bicubic
vit_large_patch32_384,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic
swsl_resnet50,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear
ecaresnet101d,95.160,4.840,99.230,0.770,44.57,224,0.875,bicubic
ssl_resnext101_32x4d,95.160,4.840,99.300,0.700,44.18,224,0.875,bilinear
nasnetalarge,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic
efficientnet_b3a,95.120,4.880,99.120,0.880,12.23,320,1.000,bicubic
efficientnet_b3a,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic
regnety_032,95.070,4.930,99.210,0.790,19.44,224,0.875,bicubic
tresnet_xl,95.060,4.940,99.260,0.740,78.44,224,0.875,bilinear
efficientnet_b3,94.970,5.030,99.230,0.770,12.23,300,0.904,bicubic
tf_efficientnet_b3_ap,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic
efficientnet_b3,94.960,5.040,99.200,0.800,12.23,300,0.904,bicubic
tf_efficientnet_b3,94.910,5.090,99.110,0.890,12.23,300,0.904,bicubic
tresnet_l,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear
tf_efficientnet_lite4,94.870,5.130,99.090,0.910,13.01,380,0.920,bilinear
tf_efficientnet_b1_ns,94.860,5.140,99.250,0.750,7.79,240,0.882,bicubic
seresnext50_32x4d,94.820,5.180,99.130,0.870,27.56,224,0.875,bicubic
legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear
gluon_resnet152_v1s,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic
gluon_senet154,94.710,5.290,98.970,1.030,115.09,224,0.875,bicubic
resnest50d_4s2x40d,94.710,5.290,99.130,0.870,30.42,224,0.875,bicubic
ssl_resnext50_32x4d,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear
wide_resnet50_2,94.670,5.330,99.050,0.950,68.88,224,0.875,bicubic
rexnet_200,94.660,5.340,99.090,0.910,16.37,224,0.875,bicubic
tresnet_m_448,94.660,5.340,99.150,0.850,31.39,448,0.875,bilinear
gluon_seresnext101_64x4d,94.650,5.350,98.980,1.020,88.23,224,0.875,bicubic
resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear
efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic
regnety_320,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic
ecaresnet101d_pruned,94.450,5.550,99.100,0.900,24.88,224,0.875,bicubic
gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic
tf_efficientnet_el,94.450,5.550,99.080,0.920,10.59,300,0.904,bicubic
gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic
ecaresnet101d_pruned,94.450,5.550,99.100,0.900,24.88,224,0.875,bicubic
gluon_resnet152_v1d,94.440,5.560,99.010,0.990,60.21,224,0.875,bicubic
resnest50d_1s4x24d,94.390,5.610,99.070,0.930,25.68,224,0.875,bicubic
inception_v4,94.380,5.620,98.820,1.180,42.68,299,0.875,bicubic
@ -72,24 +80,26 @@ tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
mixnet_xl,94.230,5.770,98.820,1.180,11.90,224,0.875,bicubic
regnetx_320,94.210,5.790,99.050,0.950,107.81,224,0.875,bicubic
tf_efficientnet_b2,94.210,5.790,99.030,0.970,9.11,260,0.890,bicubic
dpn92,94.190,5.810,98.930,1.070,37.67,224,0.875,bicubic
ecaresnet50d,94.190,5.810,99.020,0.980,25.58,224,0.875,bicubic
gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
dpn92,94.190,5.810,98.930,1.070,37.67,224,0.875,bicubic
gluon_resnet101_v1d,94.170,5.830,98.940,1.060,44.57,224,0.875,bicubic
gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic
gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
ecaresnetlight,94.140,5.860,98.950,1.050,30.16,224,0.875,bicubic
regnety_064,94.140,5.860,99.030,0.970,30.58,224,0.875,bicubic
ens_adv_inception_resnet_v2,94.130,5.870,98.790,1.210,55.84,299,0.897,bicubic
legacy_seresnext101_32x4d,94.130,5.870,98.970,1.030,48.96,224,0.875,bilinear
tf_efficientnet_lite3,94.130,5.870,98.960,1.040,8.20,300,0.904,bilinear
gluon_resnext101_32x4d,94.120,5.880,98.930,1.070,44.18,224,0.875,bicubic
regnety_160,94.120,5.880,99.020,0.980,83.59,224,0.875,bicubic
cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
seresnet50,94.080,5.920,98.970,1.030,28.09,224,0.875,bicubic
resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic
tresnet_m,94.070,5.930,98.830,1.170,31.39,224,0.875,bilinear
gluon_resnet152_v1b,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic
hrnet_w48,94.030,5.970,99.040,0.960,77.47,224,0.875,bilinear
regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic
gluon_resnet152_v1b,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic
gluon_xception65,94.010,5.990,99.020,0.980,39.92,299,0.903,bicubic
regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic
dla102x2,94.000,6.000,99.030,0.970,41.28,224,0.875,bilinear
dpn107,93.960,6.040,98.840,1.160,86.92,224,0.875,bicubic
skresnext50_32x4d,93.950,6.050,98.820,1.180,27.48,224,0.875,bicubic
@ -98,19 +108,21 @@ regnety_080,93.890,6.110,99.000,1.000,39.18,224,0.875,bicubic
xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic
gluon_resnet152_v1c,93.880,6.120,98.800,1.200,60.21,224,0.875,bicubic
regnetx_160,93.880,6.120,99.090,0.910,54.28,224,0.875,bicubic
cspresnet50,93.860,6.140,98.870,1.130,21.62,256,0.887,bilinear
ese_vovnet39b,93.850,6.150,98.900,1.100,24.57,224,0.875,bicubic
resnext50_32x4d,93.840,6.160,98.830,1.170,25.03,224,0.875,bicubic
hrnet_w64,93.830,6.170,98.930,1.070,128.06,224,0.875,bilinear
ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic
resnext50d_32x4d,93.810,6.190,98.740,1.260,25.05,224,0.875,bicubic
efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
dla169,93.800,6.200,98.840,1.160,53.39,224,0.875,bilinear
efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
regnetx_080,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic
resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear
cspresnext50,93.760,6.240,98.840,1.160,20.57,224,0.875,bilinear
dpn131,93.760,6.240,98.800,1.200,79.25,224,0.875,bicubic
gluon_resnet101_v1b,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic
xception65,93.760,6.240,98.860,1.140,39.92,299,0.903,bicubic
efficientnet_em,93.740,6.260,98.930,1.070,6.90,240,0.882,bicubic
tf_efficientnet_b0_ns,93.740,6.260,98.980,1.020,5.29,224,0.875,bicubic
wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
@ -126,6 +138,7 @@ tf_efficientnet_b1_ap,93.630,6.370,98.800,1.200,7.79,240,0.882,bicubic
dpn68b,93.620,6.380,98.700,1.300,12.61,224,0.875,bicubic
hrnet_w44,93.620,6.380,98.960,1.040,67.06,224,0.875,bilinear
regnety_040,93.620,6.380,98.950,1.050,20.65,224,0.875,bicubic
vit_base_patch16_224,93.600,6.400,98.760,1.240,86.54,224,0.900,bicubic
gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic
res2net50_26w_6s,93.590,6.410,98.750,1.250,37.05,224,0.875,bilinear
dla60_res2next,93.570,6.430,98.800,1.200,17.03,224,0.875,bilinear
@ -137,17 +150,18 @@ res2net101_26w_4s,93.520,6.480,98.600,1.400,45.21,224,0.875,bilinear
selecsls60b,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
xception41,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic
tf_efficientnet_em,93.470,6.530,98.750,1.250,6.90,240,0.882,bicubic
regnety_032,93.460,6.540,98.950,1.050,19.44,224,0.875,bicubic
resnet50,93.460,6.540,98.600,1.400,25.56,224,0.875,bicubic
wide_resnet50_2,93.460,6.540,98.950,1.050,68.88,224,0.875,bilinear
res2net50_26w_8s,93.450,6.550,98.700,1.300,48.40,224,0.875,bilinear
legacy_seresnet152,93.440,6.560,98.850,1.150,66.82,224,0.875,bilinear
legacy_seresnext50_32x4d,93.430,6.570,98.800,1.200,27.56,224,0.875,bilinear
dla60_res2net,93.380,6.620,98.860,1.140,20.85,224,0.875,bilinear
hrnet_w30,93.370,6.630,98.830,1.170,37.71,224,0.875,bilinear
dla102,93.260,6.740,98.780,1.220,33.27,224,0.875,bilinear
legacy_seresnet101,93.260,6.740,98.740,1.260,49.33,224,0.875,bilinear
mixnet_l,93.260,6.740,98.700,1.300,7.33,224,0.875,bicubic
regnetx_032,93.250,6.750,98.730,1.270,15.30,224,0.875,bicubic
resnest26d,93.240,6.760,98.850,1.150,17.07,224,0.875,bilinear
resnet152,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear
tv_resnet152,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear
tf_inception_v3,93.200,6.800,98.480,1.520,23.83,299,0.875,bicubic
dla60x,93.190,6.810,98.710,1.290,17.35,224,0.875,bilinear
res2net50_26w_4s,93.180,6.820,98.670,1.330,25.70,224,0.875,bilinear
@ -166,7 +180,7 @@ gluon_resnet50_v1c,92.910,7.090,98.710,1.290,25.58,224,0.875,bicubic
inception_v3,92.900,7.100,98.330,1.670,23.83,299,0.875,bicubic
tv_resnext50_32x4d,92.900,7.100,98.720,1.280,25.03,224,0.875,bilinear
densenet161,92.900,7.100,98.810,1.190,28.68,224,0.875,bicubic
resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic
rexnet_100,92.850,7.150,98.620,1.380,4.80,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,92.840,7.160,98.440,1.560,13.31,224,0.875,bicubic
@ -175,10 +189,14 @@ res2net50_48w_2s,92.790,7.210,98.470,1.530,25.29,224,0.875,bilinear
hrnet_w18,92.760,7.240,98.660,1.340,21.30,224,0.875,bilinear
densenet201,92.690,7.310,98.650,1.350,20.01,224,0.875,bicubic
dla60,92.670,7.330,98.630,1.370,22.04,224,0.875,bilinear
legacy_seresnet50,92.670,7.330,98.650,1.350,28.09,224,0.875,bilinear
resnet34d,92.640,7.360,98.420,1.580,21.82,224,0.875,bicubic
mobilenetv2_120d,92.610,7.390,98.510,1.490,5.83,224,0.875,bicubic
tf_efficientnet_b0_ap,92.610,7.390,98.370,1.630,5.29,224,0.875,bicubic
vit_small_patch16_224,92.600,7.400,98.390,1.610,48.75,224,0.900,bicubic
tf_efficientnet_lite2,92.590,7.410,98.550,1.450,6.09,260,0.890,bicubic
skresnet34,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic
legacy_seresnext26_32x4d,92.570,7.430,98.420,1.580,16.79,224,0.875,bicubic
gluon_resnet50_v1b,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic
tf_efficientnet_es,92.550,7.450,98.510,1.490,5.44,224,0.875,bicubic
regnetx_016,92.540,7.460,98.550,1.450,9.19,224,0.875,bicubic
@ -203,6 +221,7 @@ tf_mixnet_s,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic
semnasnet_100,91.660,8.340,98.270,1.730,3.89,224,0.875,bicubic
regnety_006,91.570,8.430,98.430,1.570,6.06,224,0.875,bicubic
mobilenetv3_rw,91.550,8.450,98.270,1.730,5.48,224,0.875,bicubic
legacy_seresnet34,91.480,8.520,98.200,1.800,21.96,224,0.875,bilinear
mobilenetv3_large_100,91.480,8.520,98.320,1.680,5.48,224,0.875,bicubic
resnet26,91.440,8.560,98.280,1.720,16.00,224,0.875,bicubic
tf_mobilenetv3_large_100,91.420,8.580,98.260,1.740,5.48,224,0.875,bilinear
@ -226,9 +245,11 @@ spnasnet_100,90.610,9.390,97.950,2.050,4.42,224,0.875,bilinear
tf_mobilenetv3_large_075,90.320,9.680,97.870,2.130,3.99,224,0.875,bilinear
tv_resnet34,90.290,9.710,97.980,2.020,21.80,224,0.875,bilinear
skresnet18,90.160,9.840,97.780,2.220,11.96,224,0.875,bicubic
resnet18d,89.990,10.010,97.830,2.170,11.71,224,0.875,bicubic
hrnet_w18_small,89.880,10.120,97.900,2.100,13.19,224,0.875,bilinear
mobilenetv2_100,89.830,10.170,97.830,2.170,3.50,224,0.875,bicubic
regnetx_004,89.460,10.540,97.770,2.230,5.16,224,0.875,bicubic
legacy_seresnet18,89.270,10.730,97.680,2.320,11.78,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,89.180,10.820,97.320,2.680,3.92,224,0.875,bilinear
gluon_resnet18_v1b,88.660,11.340,97.100,2.900,11.69,224,0.875,bicubic
regnety_002,88.200,11.800,97.430,2.570,3.16,224,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
12 tf_efficientnet_b8_ap 96.550 3.450 99.540 0.460 87.41 672 0.954 bicubic
13 ig_resnext101_32x16d 96.440 3.560 99.540 0.460 194.03 224 0.875 bilinear
14 tf_efficientnet_b6_ap 96.370 3.630 99.550 0.450 43.04 528 0.942 bicubic
15 vit_large_patch16_384 96.360 3.640 99.630 0.370 304.72 384 1.000 bicubic
16 tf_efficientnet_b7_ap 96.350 3.650 99.590 0.410 66.35 600 0.949 bicubic
17 tf_efficientnet_b6 96.290 3.710 99.520 0.480 43.04 528 0.942 bicubic
18 swsl_resnext101_32x16d 96.270 3.730 99.500 0.500 194.03 224 0.875 bilinear
19 swsl_resnext101_32x8d 96.240 3.760 99.590 0.410 88.79 224 0.875 bilinear
20 vit_base_patch16_384 96.190 3.810 99.530 0.470 86.86 384 1.000 bicubic
21 resnest269e 96.120 3.880 99.520 0.480 110.93 416 0.928 bicubic
22 tf_efficientnet_b3_ns 96.100 3.900 99.480 0.520 12.23 300 0.904 bicubic
23 tf_efficientnet_b5_ap 96.080 3.920 99.540 0.460 30.39 456 0.934 bicubic
35 ssl_resnext101_32x16d 95.410 4.590 99.410 0.590 194.03 224 0.875 bilinear
36 pnasnet5large 95.360 4.640 99.130 0.870 86.06 331 0.911 bicubic
37 ssl_resnext101_32x8d 95.340 4.660 99.320 0.680 88.79 224 0.875 bilinear
38 vit_base_patch32_384 95.260 4.740 99.180 0.820 88.30 384 1.000 bicubic
39 vit_large_patch32_384 95.240 4.760 99.320 0.680 306.63 384 1.000 bicubic
40 swsl_resnet50 95.200 4.800 99.390 0.610 25.56 224 0.875 bilinear
41 ecaresnet101d 95.160 4.840 99.230 0.770 44.57 224 0.875 bicubic
42 ssl_resnext101_32x4d 95.160 4.840 99.300 0.700 44.18 224 0.875 bilinear
43 nasnetalarge 95.150 4.850 99.130 0.870 88.75 331 0.911 bicubic
44 efficientnet_b3a 95.120 95.140 4.880 4.860 99.120 99.210 0.880 0.790 12.23 320 1.000 bicubic
45 regnety_032 95.070 4.930 99.210 0.790 19.44 224 0.875 bicubic
46 tresnet_xl 95.060 4.940 99.260 0.740 78.44 224 0.875 bilinear
47 efficientnet_b3 94.970 5.030 99.230 0.770 12.23 300 0.904 bicubic
48 tf_efficientnet_b3_ap 94.970 5.030 99.110 0.890 12.23 300 0.904 bicubic
efficientnet_b3 94.960 5.040 99.200 0.800 12.23 300 0.904 bicubic
49 tf_efficientnet_b3 94.910 5.090 99.110 0.890 12.23 300 0.904 bicubic
50 tresnet_l 94.900 5.100 99.030 0.970 55.99 224 0.875 bilinear
51 tf_efficientnet_lite4 94.870 5.130 99.090 0.910 13.01 380 0.920 bilinear
52 tf_efficientnet_b1_ns 94.860 5.140 99.250 0.750 7.79 240 0.882 bicubic
53 seresnext50_32x4d 94.820 5.180 99.130 0.870 27.56 224 0.875 bicubic
54 legacy_senet154 94.730 5.270 99.100 0.900 115.09 224 0.875 bilinear
55 gluon_resnet152_v1s 94.720 5.280 99.060 0.940 60.32 224 0.875 bicubic
56 gluon_senet154 94.710 5.290 98.970 1.030 115.09 224 0.875 bicubic
57 resnest50d_4s2x40d 94.710 5.290 99.130 0.870 30.42 224 0.875 bicubic
58 ssl_resnext50_32x4d 94.700 5.300 99.240 0.760 25.03 224 0.875 bilinear
59 wide_resnet50_2 94.670 5.330 99.050 0.950 68.88 224 0.875 bicubic
60 rexnet_200 94.660 5.340 99.090 0.910 16.37 224 0.875 bicubic
61 tresnet_m_448 94.660 5.340 99.150 0.850 31.39 448 0.875 bilinear
62 gluon_seresnext101_64x4d 94.650 5.350 98.980 1.020 88.23 224 0.875 bicubic
63 resnest50d 94.620 5.380 99.030 0.970 27.48 224 0.875 bilinear
64 efficientnet_b3_pruned 94.580 5.420 99.070 0.930 9.86 300 0.904 bicubic
65 regnety_320 94.520 5.480 99.170 0.830 145.05 224 0.875 bicubic
ecaresnet101d_pruned 94.450 5.550 99.100 0.900 24.88 224 0.875 bicubic
gluon_seresnext101_32x4d 94.450 5.550 99.090 0.910 48.96 224 0.875 bicubic
66 tf_efficientnet_el 94.450 5.550 99.080 0.920 10.59 300 0.904 bicubic
67 gluon_seresnext101_32x4d 94.450 5.550 99.090 0.910 48.96 224 0.875 bicubic
68 ecaresnet101d_pruned 94.450 5.550 99.100 0.900 24.88 224 0.875 bicubic
69 gluon_resnet152_v1d 94.440 5.560 99.010 0.990 60.21 224 0.875 bicubic
70 resnest50d_1s4x24d 94.390 5.610 99.070 0.930 25.68 224 0.875 bicubic
71 inception_v4 94.380 5.620 98.820 1.180 42.68 299 0.875 bicubic
80 mixnet_xl 94.230 5.770 98.820 1.180 11.90 224 0.875 bicubic
81 regnetx_320 94.210 5.790 99.050 0.950 107.81 224 0.875 bicubic
82 tf_efficientnet_b2 94.210 5.790 99.030 0.970 9.11 260 0.890 bicubic
dpn92 94.190 5.810 98.930 1.070 37.67 224 0.875 bicubic
83 ecaresnet50d 94.190 5.810 99.020 0.980 25.58 224 0.875 bicubic
84 gluon_seresnext50_32x4d dpn92 94.170 94.190 5.830 5.810 98.910 98.930 1.090 1.070 27.56 37.67 224 0.875 bicubic
85 gluon_resnet101_v1d 94.170 5.830 98.940 1.060 44.57 224 0.875 bicubic
86 gluon_resnet101_v1s 94.170 5.830 99.010 0.990 44.67 224 0.875 bicubic
87 gluon_seresnext50_32x4d 94.170 5.830 98.910 1.090 27.56 224 0.875 bicubic
88 ecaresnetlight 94.140 5.860 98.950 1.050 30.16 224 0.875 bicubic
89 regnety_064 94.140 5.860 99.030 0.970 30.58 224 0.875 bicubic
90 ens_adv_inception_resnet_v2 94.130 5.870 98.790 1.210 55.84 299 0.897 bicubic
91 legacy_seresnext101_32x4d 94.130 5.870 98.970 1.030 48.96 224 0.875 bilinear
92 tf_efficientnet_lite3 94.130 5.870 98.960 1.040 8.20 300 0.904 bilinear
93 gluon_resnext101_32x4d 94.120 5.880 98.930 1.070 44.18 224 0.875 bicubic
94 regnety_160 94.120 5.880 99.020 0.980 83.59 224 0.875 bicubic
95 cspdarknet53 94.090 5.910 98.980 1.020 27.64 256 0.887 bilinear
96 seresnet50 94.080 5.920 98.970 1.030 28.09 224 0.875 bicubic
97 resnet50d 94.070 5.930 98.920 1.080 25.58 224 0.875 bicubic
98 tresnet_m 94.070 5.930 98.830 1.170 31.39 224 0.875 bilinear
gluon_resnet152_v1b 94.030 5.970 98.740 1.260 60.19 224 0.875 bicubic
99 hrnet_w48 94.030 5.970 99.040 0.960 77.47 224 0.875 bilinear
100 regnety_120 gluon_resnet152_v1b 94.010 94.030 5.990 5.970 99.030 98.740 0.970 1.260 51.82 60.19 224 0.875 bicubic
101 gluon_xception65 94.010 5.990 99.020 0.980 39.92 299 0.903 bicubic
102 regnety_120 94.010 5.990 99.030 0.970 51.82 224 0.875 bicubic
103 dla102x2 94.000 6.000 99.030 0.970 41.28 224 0.875 bilinear
104 dpn107 93.960 6.040 98.840 1.160 86.92 224 0.875 bicubic
105 skresnext50_32x4d 93.950 6.050 98.820 1.180 27.48 224 0.875 bicubic
108 xception71 93.890 6.110 98.950 1.050 42.34 299 0.903 bicubic
109 gluon_resnet152_v1c 93.880 6.120 98.800 1.200 60.21 224 0.875 bicubic
110 regnetx_160 93.880 6.120 99.090 0.910 54.28 224 0.875 bicubic
111 cspresnet50 93.860 6.140 98.870 1.130 21.62 256 0.887 bilinear
112 ese_vovnet39b 93.850 6.150 98.900 1.100 24.57 224 0.875 bicubic
113 resnext50_32x4d 93.840 6.160 98.830 1.170 25.03 224 0.875 bicubic
114 hrnet_w64 93.830 6.170 98.930 1.070 128.06 224 0.875 bilinear
115 ecaresnet50d_pruned 93.820 6.180 99.000 1.000 19.94 224 0.875 bicubic
116 resnext50d_32x4d 93.810 6.190 98.740 1.260 25.05 224 0.875 bicubic
efficientnet_b2_pruned 93.800 6.200 98.910 1.090 8.31 260 0.890 bicubic
117 dla169 93.800 6.200 98.840 1.160 53.39 224 0.875 bilinear
118 efficientnet_b2_pruned 93.800 6.200 98.910 1.090 8.31 260 0.890 bicubic
119 regnetx_080 93.790 6.210 98.910 1.090 39.57 224 0.875 bicubic
120 resnext101_32x8d 93.770 6.230 98.950 1.050 88.79 224 0.875 bilinear
121 cspresnext50 93.760 6.240 98.840 1.160 20.57 224 0.875 bilinear
122 dpn131 93.760 6.240 98.800 1.200 79.25 224 0.875 bicubic
123 gluon_resnet101_v1b 93.760 6.240 98.700 1.300 44.55 224 0.875 bicubic
124 xception65 93.760 6.240 98.860 1.140 39.92 299 0.903 bicubic
125 efficientnet_em 93.740 6.260 98.930 1.070 6.90 240 0.882 bicubic
126 tf_efficientnet_b0_ns 93.740 6.260 98.980 1.020 5.29 224 0.875 bicubic
127 wide_resnet101_2 93.730 6.270 98.810 1.190 126.89 224 0.875 bilinear
128 hrnet_w40 93.710 6.290 98.800 1.200 57.56 224 0.875 bilinear
138 dpn68b 93.620 6.380 98.700 1.300 12.61 224 0.875 bicubic
139 hrnet_w44 93.620 6.380 98.960 1.040 67.06 224 0.875 bilinear
140 regnety_040 93.620 6.380 98.950 1.050 20.65 224 0.875 bicubic
141 vit_base_patch16_224 93.600 6.400 98.760 1.240 86.54 224 0.900 bicubic
142 gluon_resnet50_v1s 93.590 6.410 98.840 1.160 25.68 224 0.875 bicubic
143 res2net50_26w_6s 93.590 6.410 98.750 1.250 37.05 224 0.875 bilinear
144 dla60_res2next 93.570 6.430 98.800 1.200 17.03 224 0.875 bilinear
150 selecsls60b 93.500 6.500 98.840 1.160 32.77 224 0.875 bicubic
151 xception41 93.480 6.520 98.750 1.250 26.97 299 0.903 bicubic
152 tf_efficientnet_em 93.470 6.530 98.750 1.250 6.90 240 0.882 bicubic
regnety_032 93.460 6.540 98.950 1.050 19.44 224 0.875 bicubic
153 resnet50 93.460 6.540 98.600 1.400 25.56 224 0.875 bicubic
wide_resnet50_2 93.460 6.540 98.950 1.050 68.88 224 0.875 bilinear
154 res2net50_26w_8s 93.450 6.550 98.700 1.300 48.40 224 0.875 bilinear
155 legacy_seresnet152 93.440 6.560 98.850 1.150 66.82 224 0.875 bilinear
156 legacy_seresnext50_32x4d 93.430 6.570 98.800 1.200 27.56 224 0.875 bilinear
157 dla60_res2net 93.380 6.620 98.860 1.140 20.85 224 0.875 bilinear
158 hrnet_w30 93.370 6.630 98.830 1.170 37.71 224 0.875 bilinear
159 dla102 93.260 6.740 98.780 1.220 33.27 224 0.875 bilinear
160 legacy_seresnet101 93.260 6.740 98.740 1.260 49.33 224 0.875 bilinear
161 mixnet_l 93.260 6.740 98.700 1.300 7.33 224 0.875 bicubic
162 regnetx_032 93.250 6.750 98.730 1.270 15.30 224 0.875 bicubic
163 resnest26d 93.240 6.760 98.850 1.150 17.07 224 0.875 bilinear
164 resnet152 tv_resnet152 93.240 6.760 98.750 1.250 60.19 224 0.875 bilinear
165 tf_inception_v3 93.200 6.800 98.480 1.520 23.83 299 0.875 bicubic
166 dla60x 93.190 6.810 98.710 1.290 17.35 224 0.875 bilinear
167 res2net50_26w_4s 93.180 6.820 98.670 1.330 25.70 224 0.875 bilinear
180 inception_v3 92.900 7.100 98.330 1.670 23.83 299 0.875 bicubic
181 tv_resnext50_32x4d 92.900 7.100 98.720 1.280 25.03 224 0.875 bilinear
182 densenet161 92.900 7.100 98.810 1.190 28.68 224 0.875 bicubic
183 resnet101 tv_resnet101 92.880 7.120 98.660 1.340 44.55 224 0.875 bilinear
184 tf_efficientnet_cc_b0_8e 92.870 7.130 98.460 1.540 24.01 224 0.875 bicubic
185 rexnet_100 92.850 7.150 98.620 1.380 4.80 224 0.875 bicubic
186 tf_efficientnet_cc_b0_4e 92.840 7.160 98.440 1.560 13.31 224 0.875 bicubic
189 hrnet_w18 92.760 7.240 98.660 1.340 21.30 224 0.875 bilinear
190 densenet201 92.690 7.310 98.650 1.350 20.01 224 0.875 bicubic
191 dla60 92.670 7.330 98.630 1.370 22.04 224 0.875 bilinear
192 legacy_seresnet50 92.670 7.330 98.650 1.350 28.09 224 0.875 bilinear
193 resnet34d 92.640 7.360 98.420 1.580 21.82 224 0.875 bicubic
194 mobilenetv2_120d 92.610 7.390 98.510 1.490 5.83 224 0.875 bicubic
195 tf_efficientnet_b0_ap 92.610 7.390 98.370 1.630 5.29 224 0.875 bicubic
196 vit_small_patch16_224 92.600 7.400 98.390 1.610 48.75 224 0.900 bicubic
197 tf_efficientnet_lite2 92.590 7.410 98.550 1.450 6.09 260 0.890 bicubic
198 skresnet34 92.570 7.430 98.520 1.480 22.28 224 0.875 bicubic
199 legacy_seresnext26_32x4d 92.570 7.430 98.420 1.580 16.79 224 0.875 bicubic
200 gluon_resnet50_v1b 92.560 7.440 98.550 1.450 25.56 224 0.875 bicubic
201 tf_efficientnet_es 92.550 7.450 98.510 1.490 5.44 224 0.875 bicubic
202 regnetx_016 92.540 7.460 98.550 1.450 9.19 224 0.875 bicubic
221 semnasnet_100 91.660 8.340 98.270 1.730 3.89 224 0.875 bicubic
222 regnety_006 91.570 8.430 98.430 1.570 6.06 224 0.875 bicubic
223 mobilenetv3_rw 91.550 8.450 98.270 1.730 5.48 224 0.875 bicubic
224 legacy_seresnet34 91.480 8.520 98.200 1.800 21.96 224 0.875 bilinear
225 mobilenetv3_large_100 91.480 8.520 98.320 1.680 5.48 224 0.875 bicubic
226 resnet26 91.440 8.560 98.280 1.720 16.00 224 0.875 bicubic
227 tf_mobilenetv3_large_100 91.420 8.580 98.260 1.740 5.48 224 0.875 bilinear
245 tf_mobilenetv3_large_075 90.320 9.680 97.870 2.130 3.99 224 0.875 bilinear
246 tv_resnet34 90.290 9.710 97.980 2.020 21.80 224 0.875 bilinear
247 skresnet18 90.160 9.840 97.780 2.220 11.96 224 0.875 bicubic
248 resnet18d 89.990 10.010 97.830 2.170 11.71 224 0.875 bicubic
249 hrnet_w18_small 89.880 10.120 97.900 2.100 13.19 224 0.875 bilinear
250 mobilenetv2_100 89.830 10.170 97.830 2.170 3.50 224 0.875 bicubic
251 regnetx_004 89.460 10.540 97.770 2.230 5.16 224 0.875 bicubic
252 legacy_seresnet18 89.270 10.730 97.680 2.320 11.78 224 0.875 bicubic
253 tf_mobilenetv3_large_minimal_100 89.180 10.820 97.320 2.680 3.92 224 0.875 bilinear
254 gluon_resnet18_v1b 88.660 11.340 97.100 2.900 11.69 224 0.875 bicubic
255 regnety_002 88.200 11.800 97.430 2.570 3.16 224 0.875 bicubic

399
results/results-imagenet-r.csv
Unescape View File

@ -3,234 +3,255 @@ ig_resnext101_32x48d,79.650,20.350,89.393,10.607,828.41,224,0.875,bilinear,-17.3
ig_resnext101_32x32d,79.457,20.543,89.183,10.817,468.53,224,0.875,bilinear,-17.323,-10.347,+5
ig_resnext101_32x16d,78.837,21.163,88.480,11.520,194.03,224,0.875,bilinear,-17.603,-11.060,+9
tf_efficientnet_l2_ns_475,76.480,23.520,88.653,11.347,480.31,475,0.936,bicubic,-21.270,-11.167,-2
swsl_resnext101_32x16d,76.303,23.697,87.733,12.267,194.03,224,0.875,bilinear,-19.967,-11.767,+11
ig_resnext101_32x8d,75.813,24.187,86.200,13.800,88.79,224,0.875,bilinear,-20.117,-13.180,+18
swsl_resnext101_32x8d,75.590,24.410,86.937,13.063,88.79,224,0.875,bilinear,-20.650,-12.653,+10
swsl_resnext101_32x16d,76.303,23.697,87.733,12.267,194.03,224,0.875,bilinear,-19.967,-11.767,+12
ig_resnext101_32x8d,75.813,24.187,86.200,13.800,88.79,224,0.875,bilinear,-20.117,-13.180,+20
swsl_resnext101_32x8d,75.590,24.410,86.937,13.063,88.79,224,0.875,bilinear,-20.650,-12.653,+11
tf_efficientnet_l2_ns,74.650,25.350,87.543,12.457,480.31,800,0.960,bicubic,-23.130,-12.347,-7
swsl_resnext101_32x4d,72.660,27.340,85.157,14.843,44.18,224,0.875,bilinear,-23.390,-14.373,+13
swsl_resnext50_32x4d,68.977,31.023,82.810,17.190,25.03,224,0.875,bilinear,-26.643,-16.630,+15
swsl_resnet50,68.297,31.703,83.313,16.687,25.56,224,0.875,bilinear,-26.903,-16.077,+24
swsl_resnext101_32x4d,72.660,27.340,85.157,14.843,44.18,224,0.875,bilinear,-23.390,-14.373,+15
swsl_resnext50_32x4d,68.977,31.023,82.810,17.190,25.03,224,0.875,bilinear,-26.643,-16.630,+17
swsl_resnet50,68.297,31.703,83.313,16.687,25.56,224,0.875,bilinear,-26.903,-16.077,+28
tf_efficientnet_b7_ns,67.510,32.490,81.383,18.617,66.35,600,0.949,bicubic,-29.690,-18.317,-9
tf_efficientnet_b6_ns,65.587,34.413,79.553,20.447,43.04,528,0.942,bicubic,-31.433,-20.157,-9
tf_efficientnet_b5_ns,63.047,36.953,77.777,22.223,30.39,456,0.934,bicubic,-33.823,-21.863,-8
tf_efficientnet_b4_ns,61.230,38.770,76.173,23.827,19.34,380,0.922,bicubic,-35.480,-23.467,-7
tf_efficientnet_b8_ap,57.830,42.170,72.957,27.043,87.41,672,0.954,bicubic,-38.720,-26.583,-5
tf_efficientnet_b3_ns,57.417,42.583,72.387,27.613,12.23,300,0.904,bicubic,-38.683,-27.093,+2
tf_efficientnet_b5_ap,53.870,46.130,69.160,30.840,30.39,456,0.934,bicubic,-42.210,-30.380,+2
tf_efficientnet_b2_ns,53.600,46.400,70.270,29.730,9.11,260,0.890,bicubic,-41.920,-29.070,+9
tf_efficientnet_b6_ap,53.560,46.440,68.550,31.450,43.04,528,0.942,bicubic,-42.810,-31.000,-7
tf_efficientnet_b8,53.410,46.590,69.090,30.910,87.41,672,0.954,bicubic,-43.290,-30.440,-12
tf_efficientnet_b3_ns,57.417,42.583,72.387,27.613,12.23,300,0.904,bicubic,-38.683,-27.093,+4
vit_large_patch16_384,54.750,45.250,70.007,29.993,304.72,384,1.000,bicubic,-41.610,-29.623,-4
tf_efficientnet_b5_ap,53.870,46.130,69.160,30.840,30.39,456,0.934,bicubic,-42.210,-30.380,+3
tf_efficientnet_b2_ns,53.600,46.400,70.270,29.730,9.11,260,0.890,bicubic,-41.920,-29.070,+10
tf_efficientnet_b6_ap,53.560,46.440,68.550,31.450,43.04,528,0.942,bicubic,-42.810,-31.000,-8
tf_efficientnet_b8,53.410,46.590,69.090,30.910,87.41,672,0.954,bicubic,-43.290,-30.440,-13
tf_efficientnet_b7_ap,53.260,46.740,68.873,31.127,66.35,600,0.949,bicubic,-43.090,-30.717,-8
tf_efficientnet_b4_ap,53.090,46.910,68.210,31.790,19.34,380,0.922,bicubic,-42.400,-31.180,+7
tf_efficientnet_b7,52.393,47.607,68.233,31.767,66.35,600,0.949,bicubic,-44.187,-31.277,-14
swsl_resnet18,52.327,47.673,70.480,29.520,11.69,224,0.875,bilinear,-38.763,-27.730,+195
tf_efficientnet_b1_ns,50.883,49.117,67.910,32.090,7.79,240,0.882,bicubic,-43.977,-31.340,+20
tf_efficientnet_b4_ap,53.090,46.910,68.210,31.790,19.34,380,0.922,bicubic,-42.400,-31.180,+8
tf_efficientnet_b7,52.393,47.607,68.233,31.767,66.35,600,0.949,bicubic,-44.187,-31.277,-15
swsl_resnet18,52.327,47.673,70.480,29.520,11.69,224,0.875,bilinear,-38.763,-27.730,+213
tf_efficientnet_b1_ns,50.883,49.117,67.910,32.090,7.79,240,0.882,bicubic,-43.977,-31.340,+24
vit_base_patch16_384,50.883,49.117,65.270,34.730,86.86,384,1.000,bicubic,-45.307,-34.260,-9
ssl_resnext101_32x16d,50.257,49.743,66.033,33.967,194.03,224,0.875,bilinear,-45.153,-33.267,+5
resnest269e,50.153,49.847,64.670,35.330,110.93,416,0.928,bicubic,-45.967,-34.850,-10
tf_efficientnet_b3_ap,50.057,49.943,65.210,34.790,12.23,300,0.904,bicubic,-44.913,-33.900,+12
tf_efficientnet_b3_ap,50.057,49.943,65.210,34.790,12.23,300,0.904,bicubic,-44.913,-33.900,+16
resnest200e,49.873,50.127,64.743,35.257,70.20,320,0.909,bicubic,-46.197,-34.737,-9
tf_efficientnet_b5,49.510,50.490,65.657,34.343,30.39,456,0.934,bicubic,-46.470,-33.793,-8
resnest101e,49.367,50.633,65.587,34.413,48.28,256,0.875,bilinear,-46.203,-33.683,-5
ssl_resnext101_32x8d,49.067,50.933,65.480,34.520,88.79,224,0.875,bilinear,-46.273,-33.840,+1
ecaresnet101d,48.527,51.473,64.100,35.900,44.57,224,0.875,bicubic,-46.633,-35.130,+2
resnest50d_4s2x40d,47.483,52.517,63.807,36.193,30.42,224,0.875,bicubic,-47.227,-35.323,+14
efficientnet_b3_pruned,47.447,52.553,62.793,37.207,9.86,300,0.904,bicubic,-47.133,-36.277,+19
tf_efficientnet_b6,47.213,52.787,63.110,36.890,43.04,528,0.942,bicubic,-49.077,-36.410,-22
ssl_resnext101_32x4d,47.177,52.823,63.367,36.633,44.18,224,0.875,bilinear,-47.983,-35.933,-1
tf_efficientnet_b4,47.083,52.917,62.867,37.133,19.34,380,0.922,bicubic,-48.507,-36.463,-13
gluon_seresnext101_64x4d,46.677,53.323,61.303,38.697,88.23,224,0.875,bicubic,-47.973,-37.677,+13
tresnet_xl,46.283,53.717,61.943,38.057,78.44,224,0.875,bilinear,-48.777,-37.317,-1
resnest50d_1s4x24d,46.083,53.917,62.377,37.623,25.68,224,0.875,bicubic,-48.307,-36.693,+19
tf_efficientnet_b0_ns,46.047,53.953,63.253,36.747,5.29,224,0.875,bicubic,-47.693,-35.727,+70
resnest50d,45.937,54.063,62.623,37.377,27.48,224,0.875,bilinear,-48.683,-36.407,+10
gluon_seresnext101_32x4d,45.590,54.410,61.143,38.857,48.96,224,0.875,bicubic,-48.860,-37.947,+13
gluon_resnet152_v1d,45.430,54.570,60.077,39.923,60.21,224,0.875,bicubic,-49.010,-38.933,+14
efficientnet_b3a,48.563,51.437,64.250,35.750,12.23,320,1.000,bicubic,-46.577,-34.960,+7
ecaresnet101d,48.527,51.473,64.100,35.900,44.57,224,0.875,bicubic,-46.633,-35.130,+3
vit_large_patch32_384,48.250,51.750,61.830,38.170,306.63,384,1.000,bicubic,-46.990,-37.490,0
efficientnet_b3,48.170,51.830,64.133,35.867,12.23,300,0.904,bicubic,-46.800,-35.097,+7
resnest50d_4s2x40d,47.483,52.517,63.807,36.193,30.42,224,0.875,bicubic,-47.227,-35.323,+16
efficientnet_b3_pruned,47.447,52.553,62.793,37.207,9.86,300,0.904,bicubic,-47.133,-36.277,+22
tf_efficientnet_b6,47.213,52.787,63.110,36.890,43.04,528,0.942,bicubic,-49.077,-36.410,-26
ssl_resnext101_32x4d,47.177,52.823,63.367,36.633,44.18,224,0.875,bilinear,-47.983,-35.933,-2
tf_efficientnet_b4,47.083,52.917,62.867,37.133,19.34,380,0.922,bicubic,-48.507,-36.463,-16
vit_base_patch16_224,46.710,53.290,62.997,37.003,86.54,224,0.900,bicubic,-46.890,-35.763,+95
gluon_seresnext101_64x4d,46.677,53.323,61.303,38.697,88.23,224,0.875,bicubic,-47.973,-37.677,+15
regnety_032,46.620,53.380,62.180,37.820,19.44,224,0.875,bicubic,-48.450,-37.030,-3
tresnet_xl,46.283,53.717,61.943,38.057,78.44,224,0.875,bilinear,-48.777,-37.317,-3
resnest50d_1s4x24d,46.083,53.917,62.377,37.623,25.68,224,0.875,bicubic,-48.307,-36.693,+20
tf_efficientnet_b0_ns,46.047,53.953,63.253,36.747,5.29,224,0.875,bicubic,-47.693,-35.727,+75
resnest50d,45.937,54.063,62.623,37.377,27.48,224,0.875,bilinear,-48.683,-36.407,+11
gluon_seresnext101_32x4d,45.590,54.410,61.143,38.857,48.96,224,0.875,bicubic,-48.860,-37.947,+14
gluon_resnet152_v1d,45.430,54.570,60.077,39.923,60.21,224,0.875,bicubic,-49.010,-38.933,+15
ssl_resnext50_32x4d,45.407,54.593,62.047,37.953,25.03,224,0.875,bilinear,-49.293,-37.193,+3
tresnet_xl_448,45.223,54.777,61.437,38.563,78.44,448,0.875,bilinear,-50.287,-37.903,-19
nasnetalarge,45.210,54.790,57.883,42.117,88.75,331,0.911,bicubic,-49.940,-41.247,-11
tf_efficientnet_b3,45.107,54.893,60.650,39.350,12.23,300,0.904,bicubic,-49.803,-38.460,-7
rexnet_200,45.047,54.953,62.317,37.683,16.37,224,0.875,bicubic,-49.613,-36.773,0
ecaresnetlight,44.890,55.110,60.770,39.230,30.16,224,0.875,bicubic,-49.250,-38.180,+27
tf_efficientnet_b2_ap,44.700,55.300,60.680,39.320,9.11,260,0.890,bicubic,-49.570,-38.270,+17
tresnet_xl_448,45.223,54.777,61.437,38.563,78.44,448,0.875,bilinear,-50.287,-37.903,-24
nasnetalarge,45.210,54.790,57.883,42.117,88.75,331,0.911,bicubic,-49.940,-41.247,-14
tf_efficientnet_b3,45.107,54.893,60.650,39.350,12.23,300,0.904,bicubic,-49.803,-38.460,-9
rexnet_200,45.047,54.953,62.317,37.683,16.37,224,0.875,bicubic,-49.613,-36.773,+1
ecaresnetlight,44.890,55.110,60.770,39.230,30.16,224,0.875,bicubic,-49.250,-38.180,+28
tf_efficientnet_b2_ap,44.700,55.300,60.680,39.320,9.11,260,0.890,bicubic,-49.570,-38.270,+18
vit_base_patch32_384,44.693,55.307,58.530,41.470,88.30,384,1.000,bicubic,-50.567,-40.650,-24
ens_adv_inception_resnet_v2,44.393,55.607,58.117,41.883,55.84,299,0.897,bicubic,-49.737,-40.673,+27
tresnet_l,44.363,55.637,59.953,40.047,55.99,224,0.875,bilinear,-50.537,-39.077,-11
gluon_resnext101_32x4d,44.290,55.710,59.090,40.910,44.18,224,0.875,bicubic,-49.830,-39.840,+27
cspresnext50,44.147,55.853,60.533,39.467,20.57,224,0.875,bilinear,-49.613,-38.307,+52
gluon_resnet152_v1s,44.073,55.927,58.703,41.297,60.32,224,0.875,bicubic,-50.647,-40.357,-11
ssl_resnet50,44.010,55.990,61.887,38.113,25.56,224,0.875,bilinear,-50.300,-37.263,+8
inception_resnet_v2,44.003,55.997,57.907,42.093,55.84,299,0.897,bicubic,-50.337,-40.893,+6
pnasnet5large,43.950,56.050,56.730,43.270,86.06,331,0.911,bicubic,-51.410,-42.400,-28
gluon_resnext101_64x4d,43.877,56.123,58.710,41.290,83.46,224,0.875,bicubic,-50.473,-40.170,+2
ecaresnet50d,43.750,56.250,60.387,39.613,25.58,224,0.875,bicubic,-50.440,-38.633,+12
ecaresnet101d_pruned,43.737,56.263,59.607,40.393,24.88,224,0.875,bicubic,-50.713,-39.493,-7
rexnet_150,43.690,56.310,60.897,39.103,9.73,224,0.875,bicubic,-50.580,-38.183,+4
efficientnet_b3a,43.677,56.323,59.897,40.103,12.23,320,1.000,bicubic,-51.443,-39.223,-27
efficientnet_b3,43.597,56.403,59.810,40.190,12.23,300,0.904,bicubic,-51.363,-39.390,-25
gluon_resnet101_v1d,43.440,56.560,58.613,41.387,44.57,224,0.875,bicubic,-50.730,-40.397,+9
gluon_resnet101_v1s,43.363,56.637,58.503,41.497,44.67,224,0.875,bicubic,-50.807,-40.407,+9
cspdarknet53,43.357,56.643,59.430,40.570,27.64,256,0.887,bilinear,-50.733,-39.550,+15
dpn68b,43.287,56.713,58.673,41.327,12.61,224,0.875,bicubic,-50.333,-40.027,+54
resnest26d,43.140,56.860,60.623,39.377,17.07,224,0.875,bilinear,-50.100,-38.227,+76
dpn131,43.047,56.953,57.440,42.560,79.25,224,0.875,bicubic,-50.713,-41.360,+37
tf_efficientnet_lite4,42.967,57.033,57.620,42.380,13.01,380,0.920,bilinear,-51.903,-41.470,-29
gluon_resnet152_v1b,42.903,57.097,57.750,42.250,60.19,224,0.875,bicubic,-51.127,-40.990,+13
dpn107,42.857,57.143,57.367,42.633,86.92,224,0.875,bicubic,-51.103,-41.473,+17
tf_efficientnet_b1_ap,42.803,57.197,58.813,41.187,7.79,240,0.882,bicubic,-50.827,-39.987,+47
gluon_resnet152_v1c,42.800,57.200,57.737,42.263,60.21,224,0.875,bicubic,-51.080,-41.063,+20
gluon_xception65,42.793,57.207,58.820,41.180,39.92,299,0.903,bicubic,-51.217,-40.210,+12
tresnet_l_448,42.753,57.247,58.947,41.053,55.99,448,0.875,bilinear,-52.657,-40.463,-49
tresnet_l,44.363,55.637,59.953,40.047,55.99,224,0.875,bilinear,-50.537,-39.077,-14
gluon_resnext101_32x4d,44.290,55.710,59.090,40.910,44.18,224,0.875,bicubic,-49.830,-39.840,+28
wide_resnet50_2,44.177,55.823,59.727,40.273,68.88,224,0.875,bicubic,-50.493,-39.323,-7
cspresnext50,44.147,55.853,60.533,39.467,20.57,224,0.875,bilinear,-49.613,-38.307,+54
seresnext50_32x4d,44.127,55.873,59.490,40.510,27.56,224,0.875,bicubic,-50.693,-39.640,-15
gluon_resnet152_v1s,44.073,55.927,58.703,41.297,60.32,224,0.875,bicubic,-50.647,-40.357,-14
ssl_resnet50,44.010,55.990,61.887,38.113,25.56,224,0.875,bilinear,-50.300,-37.263,+6
inception_resnet_v2,44.003,55.997,57.907,42.093,55.84,299,0.897,bicubic,-50.337,-40.893,+4
pnasnet5large,43.950,56.050,56.730,43.270,86.06,331,0.911,bicubic,-51.410,-42.400,-36
gluon_resnext101_64x4d,43.877,56.123,58.710,41.290,83.46,224,0.875,bicubic,-50.473,-40.170,0
ecaresnet50d,43.750,56.250,60.387,39.613,25.58,224,0.875,bicubic,-50.440,-38.543,+9
ecaresnet101d_pruned,43.737,56.263,59.607,40.393,24.88,224,0.875,bicubic,-50.713,-39.473,-7
rexnet_150,43.690,56.310,60.897,39.103,9.73,224,0.875,bicubic,-50.580,-38.183,+2
gluon_resnet101_v1d,43.440,56.560,58.613,41.387,44.57,224,0.875,bicubic,-50.730,-40.327,+8
gluon_resnet101_v1s,43.363,56.637,58.503,41.497,44.67,224,0.875,bicubic,-50.807,-40.507,+8
cspdarknet53,43.357,56.643,59.430,40.570,27.64,256,0.887,bilinear,-50.733,-39.550,+16
dpn68b,43.287,56.713,58.673,41.327,12.61,224,0.875,bicubic,-50.333,-40.027,+58
resnest26d,43.140,56.860,60.623,39.377,17.07,224,0.875,bilinear,-50.100,-38.227,+82
dpn131,43.047,56.953,57.440,42.560,79.25,224,0.875,bicubic,-50.713,-41.360,+40
cspresnet50,43.030,56.970,59.153,40.847,21.62,256,0.887,bilinear,-50.830,-39.717,+28
tf_efficientnet_lite4,42.967,57.033,57.620,42.380,13.01,380,0.920,bilinear,-51.903,-41.470,-33
gluon_resnet152_v1b,42.903,57.097,57.750,42.250,60.19,224,0.875,bicubic,-51.127,-41.290,+15
dpn107,42.857,57.143,57.367,42.633,86.92,224,0.875,bicubic,-51.103,-41.473,+18
tf_efficientnet_b1_ap,42.803,57.197,58.813,41.187,7.79,240,0.882,bicubic,-50.827,-39.987,+50
gluon_resnet152_v1c,42.800,57.200,57.737,42.263,60.21,224,0.875,bicubic,-51.080,-41.063,+21
gluon_xception65,42.793,57.207,58.820,41.180,39.92,299,0.903,bicubic,-51.217,-40.200,+12
tresnet_l_448,42.753,57.247,58.947,41.053,55.99,448,0.875,bilinear,-52.657,-40.463,-56
resnet50d,42.707,57.293,58.697,41.303,25.58,224,0.875,bicubic,-51.363,-40.223,+6
tresnet_m,42.687,57.313,58.153,41.847,31.39,224,0.875,bilinear,-51.383,-40.677,+6
gluon_seresnext50_32x4d,42.683,57.317,58.710,41.290,27.56,224,0.875,bicubic,-51.487,-40.230,-6
resnext101_32x8d,42.557,57.443,58.317,41.683,88.79,224,0.875,bilinear,-51.213,-40.633,+25
seresnet50,42.510,57.490,58.667,41.333,28.09,224,0.875,bicubic,-51.570,-40.303,+2
gluon_seresnext50_32x4d,42.683,57.317,58.710,41.290,27.56,224,0.875,bicubic,-51.487,-40.200,-6
resnext101_32x8d,42.557,57.443,58.317,41.683,88.79,224,0.875,bilinear,-51.213,-40.633,+26
seresnet50,42.510,57.490,58.667,41.333,28.09,224,0.875,bicubic,-51.570,-40.303,+1
dpn98,42.280,57.720,56.880,43.120,61.57,224,0.875,bicubic,-51.660,-42.040,+10
tf_efficientnet_cc_b1_8e,42.233,57.767,58.420,41.580,39.72,240,0.882,bicubic,-51.337,-40.270,+45
tf_efficientnet_b2,42.120,57.880,58.197,41.803,9.11,260,0.890,bicubic,-52.090,-40.833,-14
gluon_resnext50_32x4d,42.043,57.957,57.667,42.333,25.03,224,0.875,bicubic,-51.607,-41.023,+33
resnet50,42.013,57.987,56.000,44.000,25.56,224,0.875,bicubic,-51.447,-42.600,+51
tf_efficientnet_cc_b1_8e,42.233,57.767,58.420,41.580,39.72,240,0.882,bicubic,-51.337,-40.270,+48
legacy_senet154,42.207,57.793,56.597,43.403,115.09,224,0.875,bilinear,-52.523,-42.503,-44
tf_efficientnet_b2,42.120,57.880,58.197,41.803,9.11,260,0.890,bicubic,-52.090,-40.833,-17
gluon_resnext50_32x4d,42.043,57.957,57.667,42.333,25.03,224,0.875,bicubic,-51.607,-41.023,+34
resnet50,42.013,57.987,56.000,44.000,25.56,224,0.875,bicubic,-51.447,-42.600,+52
ecaresnet50d_pruned,41.953,58.047,58.217,41.783,19.94,224,0.875,bicubic,-51.867,-40.783,+13
efficientnet_b2a,41.933,58.067,58.300,41.700,9.11,288,1.000,bicubic,-52.437,-40.750,-28
dla102x2,41.647,58.353,57.967,42.033,41.28,224,0.875,bilinear,-52.353,-41.063,0
efficientnet_b2a,41.933,58.067,58.300,41.700,9.11,288,1.000,bicubic,-52.437,-40.750,-31
dla102x2,41.647,58.353,57.967,42.033,41.28,224,0.875,bilinear,-52.353,-41.063,-1
hrnet_w64,41.637,58.363,57.130,42.870,128.06,224,0.875,bilinear,-52.193,-41.800,+9
efficientnet_b2,41.627,58.373,58.033,41.967,9.11,260,0.875,bicubic,-52.713,-41.067,-29
gluon_senet154,41.627,58.373,56.373,43.627,115.09,224,0.875,bicubic,-53.083,-42.597,-47
inception_v4,41.577,58.423,55.383,44.617,42.68,299,0.875,bicubic,-52.803,-43.437,-34
tf_efficientnet_cc_b0_8e,41.487,58.513,57.377,42.623,24.01,224,0.875,bicubic,-51.383,-41.083,+72
resnext50_32x4d,41.443,58.557,56.997,43.003,25.03,224,0.875,bicubic,-52.397,-41.833,+3
resnet152,41.327,58.673,57.520,42.480,60.19,224,0.875,bilinear,-51.913,-41.230,+50
xception71,41.270,58.730,55.873,44.127,42.34,299,0.903,bicubic,-52.620,-43.077,-3
dpn92,41.267,58.733,56.333,43.667,37.67,224,0.875,bicubic,-52.923,-42.597,-27
adv_inception_v3,41.263,58.737,56.317,43.683,23.83,299,0.875,bicubic,-51.747,-42.173,+55
efficientnet_b2,41.627,58.373,58.033,41.967,9.11,260,0.875,bicubic,-52.713,-41.067,-32
gluon_senet154,41.627,58.373,56.373,43.627,115.09,224,0.875,bicubic,-53.083,-42.597,-51
inception_v4,41.577,58.423,55.383,44.617,42.68,299,0.875,bicubic,-52.803,-43.437,-37
efficientnet_em,41.493,58.507,58.877,41.123,6.90,240,0.882,bicubic,-52.247,-40.053,+16
tf_efficientnet_cc_b0_8e,41.487,58.513,57.377,42.623,24.01,224,0.875,bicubic,-51.383,-41.083,+74
resnext50_32x4d,41.443,58.557,56.997,43.003,25.03,224,0.875,bicubic,-52.397,-41.833,+2
tv_resnet152,41.327,58.673,57.520,42.480,60.19,224,0.875,bilinear,-51.913,-41.230,+52
xception71,41.270,58.730,55.873,44.127,42.34,299,0.903,bicubic,-52.620,-43.077,-5
dpn92,41.267,58.733,56.333,43.667,37.67,224,0.875,bicubic,-52.923,-42.687,-30
adv_inception_v3,41.263,58.737,56.317,43.683,23.83,299,0.875,bicubic,-51.747,-42.173,+57
resnetblur50,41.053,58.947,57.077,42.923,25.56,224,0.875,bicubic,-52.657,-41.733,+13
gluon_resnet50_v1d,40.970,59.030,57.137,42.863,25.58,224,0.875,bicubic,-52.560,-41.573,+30
gluon_inception_v3,40.907,59.093,55.617,44.383,23.83,299,0.875,bicubic,-52.633,-43.213,+27
ese_vovnet39b,40.867,59.133,56.950,43.050,24.57,224,0.875,bicubic,-52.983,-41.950,-6
regnety_320,40.813,59.187,56.117,43.883,145.05,224,0.875,bicubic,-53.707,-43.053,-51
xception,40.763,59.237,56.387,43.613,22.86,299,0.897,bicubic,-52.877,-42.383,+14
skresnext50_32x4d,40.700,59.300,56.023,43.977,27.48,224,0.875,bicubic,-53.250,-42.797,-15
gluon_resnet101_v1b,40.683,59.317,56.117,43.883,44.55,224,0.875,bicubic,-53.077,-42.583,+1
hrnet_w40,40.660,59.340,56.753,43.247,57.56,224,0.875,bilinear,-53.050,-42.047,+4
tf_efficientnet_lite3,40.563,59.437,56.477,43.523,8.20,300,0.904,bilinear,-53.567,-42.483,-30
tresnet_m_448,40.530,59.470,56.700,43.300,31.39,448,0.875,bilinear,-54.130,-42.450,-61
dla169,40.493,59.507,57.263,42.737,53.39,224,0.875,bilinear,-53.307,-41.647,-8
regnetx_320,40.443,59.557,55.660,44.340,107.81,224,0.875,bicubic,-53.767,-43.390,-43
skresnet34,40.397,59.603,56.737,43.263,22.28,224,0.875,bicubic,-52.173,-41.783,+64
efficientnet_b2_pruned,40.383,59.617,56.537,43.463,8.31,260,0.890,bicubic,-53.417,-42.303,-12
wide_resnet101_2,40.360,59.640,55.780,44.220,126.89,224,0.875,bilinear,-53.370,-43.030,-4
tf_efficientnet_b0_ap,40.337,59.663,56.787,43.213,5.29,224,0.875,bicubic,-52.273,-41.583,+59
xception65,40.273,59.727,55.283,44.717,39.92,299,0.903,bicubic,-53.487,-43.577,-8
regnetx_160,40.270,59.730,56.050,43.950,54.28,224,0.875,bicubic,-53.610,-43.040,-22
gluon_resnet50_v1d,40.970,59.030,57.137,42.863,25.58,224,0.875,bicubic,-52.560,-41.573,+31
gluon_inception_v3,40.907,59.093,55.617,44.383,23.83,299,0.875,bicubic,-52.633,-43.213,+28
ese_vovnet39b,40.867,59.133,56.950,43.050,24.57,224,0.875,bicubic,-52.983,-41.950,-7
regnety_320,40.813,59.187,56.117,43.883,145.05,224,0.875,bicubic,-53.707,-43.053,-55
resnet34d,40.810,59.190,56.530,43.470,21.82,224,0.875,bicubic,-51.830,-41.890,+72
xception,40.763,59.237,56.387,43.613,22.86,299,0.897,bicubic,-52.877,-42.383,+13
skresnext50_32x4d,40.700,59.300,56.023,43.977,27.48,224,0.875,bicubic,-53.250,-42.797,-18
gluon_resnet101_v1b,40.683,59.317,56.117,43.883,44.55,224,0.875,bicubic,-53.077,-42.583,-1
hrnet_w40,40.660,59.340,56.753,43.247,57.56,224,0.875,bilinear,-53.050,-42.047,+3
tf_efficientnet_lite3,40.563,59.437,56.477,43.523,8.20,300,0.904,bilinear,-53.567,-42.483,-34
tresnet_m_448,40.530,59.470,56.700,43.300,31.39,448,0.875,bilinear,-54.130,-42.450,-66
dla169,40.493,59.507,57.263,42.737,53.39,224,0.875,bilinear,-53.307,-41.577,-11
regnetx_320,40.443,59.557,55.660,44.340,107.81,224,0.875,bicubic,-53.767,-43.390,-48
skresnet34,40.397,59.603,56.737,43.263,22.28,224,0.875,bicubic,-52.173,-41.683,+68
efficientnet_b2_pruned,40.383,59.617,56.537,43.463,8.31,260,0.890,bicubic,-53.417,-42.373,-13
wide_resnet101_2,40.360,59.640,55.780,44.220,126.89,224,0.875,bilinear,-53.370,-43.030,-6
legacy_seresnext101_32x4d,40.360,59.640,54.817,45.183,48.96,224,0.875,bilinear,-53.770,-44.153,-41
tf_efficientnet_b0_ap,40.337,59.663,56.787,43.213,5.29,224,0.875,bicubic,-52.273,-41.583,+61
xception65,40.273,59.727,55.283,44.717,39.92,299,0.903,bicubic,-53.487,-43.577,-11
regnetx_160,40.270,59.730,56.050,43.950,54.28,224,0.875,bicubic,-53.610,-43.040,-26
densenet201,40.267,59.733,56.710,43.290,20.01,224,0.875,bicubic,-52.423,-41.940,+53
resnext50d_32x4d,40.170,59.830,55.487,44.513,25.05,224,0.875,bicubic,-53.640,-43.253,-19
hrnet_w48,40.093,59.907,56.640,43.360,77.47,224,0.875,bilinear,-53.937,-42.400,-35
hrnet_w30,40.030,59.970,57.093,42.907,37.71,224,0.875,bilinear,-53.340,-41.737,+19
regnetx_080,40.000,60.000,55.977,44.023,39.57,224,0.875,bicubic,-53.790,-42.933,-19
tf_efficientnet_b1,39.977,60.023,56.137,43.863,7.79,240,0.882,bicubic,-53.733,-42.663,-10
gluon_resnet101_v1c,39.953,60.047,55.300,44.700,44.57,224,0.875,bicubic,-53.737,-43.460,-10
res2net101_26w_4s,39.717,60.283,54.550,45.450,45.21,224,0.875,bilinear,-53.803,-44.050,+6
regnetx_120,39.687,60.313,55.633,44.367,46.11,224,0.875,bicubic,-54.583,-43.557,-62
hrnet_w44,39.677,60.323,55.333,44.667,67.06,224,0.875,bilinear,-53.943,-43.627,-5
densenet161,39.620,60.380,56.133,43.867,28.68,224,0.875,bicubic,-53.280,-42.587,+35
mixnet_xl,39.617,60.383,55.887,44.113,11.90,224,0.875,bicubic,-54.613,-42.933,-62
xception41,39.610,60.390,55.037,44.963,26.97,299,0.903,bicubic,-53.870,-43.713,+3
res2net50_26w_8s,39.603,60.397,54.550,45.450,48.40,224,0.875,bilinear,-53.847,-44.150,+7
tf_efficientnet_el,39.563,60.437,55.310,44.690,10.59,300,0.904,bicubic,-54.887,-43.770,-77
dla102x,39.553,60.447,56.323,43.677,26.31,224,0.875,bilinear,-53.977,-42.527,-4
rexnet_130,39.487,60.513,56.640,43.360,7.56,224,0.875,bicubic,-54.183,-42.070,-18
hrnet_w32,39.463,60.537,56.123,43.877,41.23,224,0.875,bilinear,-53.487,-42.717,+23
regnety_064,39.403,60.597,55.773,44.227,30.58,224,0.875,bicubic,-54.737,-43.257,-60
densenetblur121d,39.380,60.620,56.640,43.360,8.00,224,0.875,bicubic,-53.020,-41.770,+46
regnety_120,39.347,60.653,55.277,44.723,51.82,224,0.875,bicubic,-54.663,-43.743,-52
resnet101,39.307,60.693,55.803,44.197,44.55,224,0.875,bilinear,-53.573,-42.857,+25
regnety_160,39.260,60.740,55.433,44.567,83.59,224,0.875,bicubic,-54.860,-43.587,-60
tf_inception_v3,39.237,60.763,54.300,45.700,23.83,299,0.875,bicubic,-53.963,-44.180,+5
gluon_resnet50_v1s,39.233,60.767,55.010,44.990,25.68,224,0.875,bicubic,-54.357,-43.830,-18
densenet169,39.167,60.833,55.843,44.157,14.15,224,0.875,bicubic,-53.133,-42.747,+43
efficientnet_b1_pruned,39.010,60.990,55.647,44.353,6.33,240,0.882,bicubic,-53.970,-42.883,+12
inception_v3,38.960,61.040,53.853,46.147,23.83,299,0.875,bicubic,-53.940,-44.957,+16
dpn68,38.933,61.067,54.933,45.067,12.61,224,0.875,bicubic,-53.307,-43.677,+42
regnety_080,38.917,61.083,55.213,44.787,39.18,224,0.875,bicubic,-54.973,-43.787,-55
dla102,38.833,61.167,55.323,44.677,33.27,224,0.875,bilinear,-54.427,-43.457,-7
regnety_040,38.820,61.180,55.557,44.443,20.65,224,0.875,bicubic,-54.800,-43.393,-26
resnext50d_32x4d,40.170,59.830,55.487,44.513,25.05,224,0.875,bicubic,-53.640,-43.253,-22
vit_small_patch16_224,40.130,59.870,56.543,43.457,48.75,224,0.900,bicubic,-52.470,-41.847,+57
hrnet_w48,40.093,59.907,56.640,43.360,77.47,224,0.875,bilinear,-53.937,-42.100,-41
legacy_seresnet152,40.043,59.957,55.820,44.180,66.82,224,0.875,bilinear,-53.397,-43.030,+14
hrnet_w30,40.030,59.970,57.093,42.907,37.71,224,0.875,bilinear,-53.340,-41.737,+16
regnetx_080,40.000,60.000,55.977,44.023,39.57,224,0.875,bicubic,-53.790,-42.933,-24
tf_efficientnet_b1,39.977,60.023,56.137,43.863,7.79,240,0.882,bicubic,-53.733,-42.663,-14
gluon_resnet101_v1c,39.953,60.047,55.300,44.700,44.57,224,0.875,bicubic,-53.737,-43.460,-14
res2net101_26w_4s,39.717,60.283,54.550,45.450,45.21,224,0.875,bilinear,-53.803,-44.050,+3
regnetx_120,39.687,60.313,55.633,44.367,46.11,224,0.875,bicubic,-54.583,-43.557,-70
hrnet_w44,39.677,60.323,55.333,44.667,67.06,224,0.875,bilinear,-53.943,-43.627,-9
densenet161,39.620,60.380,56.133,43.867,28.68,224,0.875,bicubic,-53.280,-42.587,+33
mixnet_xl,39.617,60.383,55.887,44.113,11.90,224,0.875,bicubic,-54.613,-42.933,-70
xception41,39.610,60.390,55.037,44.963,26.97,299,0.903,bicubic,-53.870,-43.713,0
res2net50_26w_8s,39.603,60.397,54.550,45.450,48.40,224,0.875,bilinear,-53.847,-44.150,+2
tf_efficientnet_el,39.563,60.437,55.310,44.690,10.59,300,0.904,bicubic,-54.887,-43.790,-87
dla102x,39.553,60.447,56.327,43.673,26.31,224,0.875,bilinear,-53.977,-42.523,-7
rexnet_130,39.487,60.513,56.640,43.360,7.56,224,0.875,bicubic,-54.183,-42.070,-22
hrnet_w32,39.463,60.537,56.123,43.877,41.23,224,0.875,bilinear,-53.487,-42.717,+21
regnety_064,39.403,60.597,55.773,44.227,30.58,224,0.875,bicubic,-54.737,-43.257,-68
densenetblur121d,39.380,60.620,56.640,43.360,8.00,224,0.875,bicubic,-53.020,-41.770,+48
regnety_120,39.347,60.653,55.277,44.723,51.82,224,0.875,bicubic,-54.663,-43.753,-57
tv_resnet101,39.307,60.693,55.803,44.197,44.55,224,0.875,bilinear,-53.573,-42.857,+23
regnety_160,39.260,60.740,55.433,44.567,83.59,224,0.875,bicubic,-54.860,-43.587,-67
tf_inception_v3,39.240,60.760,54.300,45.700,23.83,299,0.875,bicubic,-53.960,-44.180,+3
gluon_resnet50_v1s,39.233,60.767,55.010,44.990,25.68,224,0.875,bicubic,-54.357,-43.830,-21
densenet169,39.167,60.833,55.843,44.157,14.15,224,0.875,bicubic,-53.133,-42.747,+45
legacy_seresnet101,39.037,60.963,55.003,44.997,49.33,224,0.875,bilinear,-54.223,-43.737,-5
efficientnet_b1_pruned,39.010,60.990,55.647,44.353,6.33,240,0.882,bicubic,-53.970,-42.883,+9
inception_v3,38.960,61.040,53.853,46.147,23.83,299,0.875,bicubic,-53.940,-44.957,+13
dpn68,38.933,61.067,54.933,45.067,12.61,224,0.875,bicubic,-53.307,-43.677,+43
regnety_080,38.917,61.083,55.213,44.787,39.18,224,0.875,bicubic,-54.973,-43.787,-62
legacy_seresnext50_32x4d,38.877,61.123,54.593,45.407,27.56,224,0.875,bilinear,-54.553,-44.207,-14
dla102,38.833,61.167,55.327,44.673,33.27,224,0.875,bilinear,-54.427,-43.453,-12
regnety_040,38.820,61.180,55.557,44.443,20.65,224,0.875,bicubic,-54.800,-43.393,-32
densenet121,38.783,61.217,56.273,43.727,7.98,224,0.875,bicubic,-53.157,-42.007,+44
res2net50_14w_8s,38.710,61.290,54.077,45.923,25.06,224,0.875,bilinear,-54.320,-44.623,+1
regnetx_040,38.703,61.297,55.340,44.660,22.12,224,0.875,bicubic,-54.977,-43.600,-37
res2net50_26w_6s,38.687,61.313,53.743,46.257,37.05,224,0.875,bilinear,-54.903,-45.007,-28
regnetx_032,38.680,61.320,55.157,44.843,15.30,224,0.875,bicubic,-54.570,-43.573,-11
wide_resnet50_2,38.637,61.363,54.467,45.533,68.88,224,0.875,bilinear,-54.823,-44.483,-18
selecsls60,38.623,61.377,55.630,44.370,30.67,224,0.875,bicubic,-54.387,-43.200,-2
dla60x,38.617,61.383,55.383,44.617,17.35,224,0.875,bilinear,-54.573,-43.327,-10
tf_efficientnet_b0,38.600,61.400,55.957,44.043,5.29,224,0.875,bicubic,-53.800,-42.513,+26
dla60_res2net,38.590,61.410,54.560,45.440,20.85,224,0.875,bilinear,-54.790,-44.300,-20
selecsls60b,38.573,61.427,55.307,44.693,32.77,224,0.875,bicubic,-54.927,-43.533,-28
dla60_res2next,38.450,61.550,54.950,45.050,17.03,224,0.875,bilinear,-55.120,-43.850,-35
regnetx_064,38.430,61.570,54.990,45.010,26.21,224,0.875,bicubic,-55.200,-44.060,-43
tf_efficientnet_cc_b0_4e,38.413,61.587,55.150,44.850,13.31,224,0.875,bicubic,-54.427,-43.290,+4
gluon_resnet50_v1b,38.407,61.593,54.833,45.167,25.56,224,0.875,bicubic,-54.153,-43.717,+13
hrnet_w18,38.277,61.723,55.643,44.357,21.30,224,0.875,bilinear,-54.483,-43.017,+5
regnety_032,38.170,61.830,54.367,45.633,19.44,224,0.875,bicubic,-55.290,-44.583,-31
mixnet_l,38.160,61.840,54.757,45.243,7.33,224,0.875,bicubic,-55.100,-43.943,-25
efficientnet_b1,37.843,62.157,53.640,46.360,7.79,240,0.875,bicubic,-55.217,-44.900,-18
gluon_resnet50_v1c,37.843,62.157,54.123,45.877,25.58,224,0.875,bicubic,-55.067,-44.587,-9
res2net50_26w_4s,37.827,62.173,53.073,46.927,25.70,224,0.875,bilinear,-55.353,-45.597,-22
efficientnet_es,37.770,62.230,54.967,45.033,5.44,224,0.875,bicubic,-55.140,-43.723,-12
resnest14d,37.767,62.233,56.470,43.530,10.61,224,0.875,bilinear,-53.363,-41.860,+42
tv_resnext50_32x4d,37.750,62.250,54.113,45.887,25.03,224,0.875,bilinear,-55.150,-44.217,-11
res2next50,37.477,62.523,52.853,47.147,24.67,224,0.875,bilinear,-55.673,-45.807,-25
resnet34,37.443,62.557,54.297,45.703,21.80,224,0.875,bilinear,-53.757,-43.943,+36
tf_efficientnet_em,37.283,62.717,54.220,45.780,6.90,240,0.882,bicubic,-56.187,-44.530,-42
res2net50_48w_2s,37.117,62.883,53.333,46.667,25.29,224,0.875,bilinear,-55.673,-45.137,-8
dla60,37.073,62.927,54.200,45.800,22.04,224,0.875,bilinear,-55.597,-44.430,-6
rexnet_100,37.063,62.937,54.020,45.980,4.80,224,0.875,bicubic,-55.787,-44.600,-13
regnety_016,37.017,62.983,54.093,45.907,11.20,224,0.875,bicubic,-55.983,-44.587,-25
tf_mixnet_l,36.987,63.013,52.583,47.417,7.33,224,0.875,bicubic,-56.053,-45.957,-30
tv_densenet121,36.810,63.190,54.033,45.967,7.98,224,0.875,bicubic,-54.590,-44.217,+22
res2net50_14w_8s,38.710,61.290,54.077,45.923,25.06,224,0.875,bilinear,-54.320,-44.623,-3
regnetx_040,38.703,61.297,55.340,44.660,22.12,224,0.875,bicubic,-54.977,-43.600,-43
res2net50_26w_6s,38.687,61.313,53.743,46.257,37.05,224,0.875,bilinear,-54.903,-45.007,-33
regnetx_032,38.680,61.320,55.157,44.843,15.30,224,0.875,bicubic,-54.570,-43.573,-15
selecsls60,38.623,61.377,55.630,44.370,30.67,224,0.875,bicubic,-54.387,-43.200,-5
dla60x,38.617,61.383,55.383,44.617,17.35,224,0.875,bilinear,-54.573,-43.327,-13
tf_efficientnet_b0,38.600,61.400,55.957,44.043,5.29,224,0.875,bicubic,-53.800,-42.513,+27
dla60_res2net,38.590,61.410,54.560,45.440,20.85,224,0.875,bilinear,-54.790,-44.300,-24
selecsls60b,38.573,61.427,55.307,44.693,32.77,224,0.875,bicubic,-54.927,-43.533,-32
dla60_res2next,38.450,61.550,54.950,45.050,17.03,224,0.875,bilinear,-55.120,-43.850,-39
regnetx_064,38.430,61.570,54.990,45.010,26.21,224,0.875,bicubic,-55.200,-44.060,-48
tf_efficientnet_cc_b0_4e,38.413,61.587,55.150,44.850,13.31,224,0.875,bicubic,-54.427,-43.290,+1
gluon_resnet50_v1b,38.407,61.593,54.833,45.167,25.56,224,0.875,bicubic,-54.153,-43.717,+14
hrnet_w18,38.277,61.723,55.643,44.357,21.30,224,0.875,bilinear,-54.483,-43.017,+2
mixnet_l,38.160,61.840,54.757,45.243,7.33,224,0.875,bicubic,-55.100,-43.943,-27
efficientnet_b1,37.843,62.157,53.640,46.360,7.79,240,0.875,bicubic,-55.217,-44.900,-20
gluon_resnet50_v1c,37.843,62.157,54.123,45.877,25.58,224,0.875,bicubic,-55.067,-44.587,-11
res2net50_26w_4s,37.827,62.173,53.073,46.927,25.70,224,0.875,bilinear,-55.353,-45.597,-24
efficientnet_es,37.770,62.230,54.967,45.033,5.44,224,0.875,bicubic,-55.140,-43.723,-14
resnest14d,37.767,62.233,56.470,43.530,10.61,224,0.875,bilinear,-53.363,-41.860,+45
tv_resnext50_32x4d,37.750,62.250,54.113,45.887,25.03,224,0.875,bilinear,-55.150,-44.217,-13
res2next50,37.477,62.523,52.853,47.147,24.67,224,0.875,bilinear,-55.673,-45.807,-27
resnet34,37.443,62.557,54.297,45.703,21.80,224,0.875,bilinear,-53.757,-43.943,+39
tf_efficientnet_em,37.283,62.717,54.220,45.780,6.90,240,0.882,bicubic,-56.187,-44.530,-45
res2net50_48w_2s,37.117,62.883,53.333,46.667,25.29,224,0.875,bilinear,-55.673,-45.137,-10
dla60,37.073,62.927,54.200,45.800,22.04,224,0.875,bilinear,-55.597,-44.430,-8
rexnet_100,37.063,62.937,54.020,45.980,4.80,224,0.875,bicubic,-55.787,-44.600,-15
regnety_016,37.017,62.983,54.093,45.907,11.20,224,0.875,bicubic,-55.983,-44.587,-27
tf_mixnet_l,36.987,63.013,52.583,47.417,7.33,224,0.875,bicubic,-56.053,-45.957,-32
legacy_seresnet50,36.873,63.127,53.487,46.513,28.09,224,0.875,bilinear,-55.797,-45.163,-11
tv_densenet121,36.810,63.190,54.033,45.967,7.98,224,0.875,bicubic,-54.590,-44.217,+24
tf_efficientnet_lite2,36.807,63.193,53.320,46.680,6.09,260,0.890,bicubic,-55.783,-45.230,-8
mobilenetv2_120d,36.780,63.220,54.047,45.953,5.83,224,0.875,bicubic,-55.830,-44.463,-11
tf_efficientnet_lite1,36.737,63.263,53.590,46.410,5.42,240,0.882,bicubic,-55.573,-44.900,0
regnetx_016,36.683,63.317,53.297,46.703,9.19,224,0.875,bicubic,-55.857,-45.253,-7
efficientnet_b0,36.600,63.400,53.497,46.503,5.29,224,0.875,bicubic,-55.880,-45.183,-7
skresnet18,36.320,63.680,54.197,45.803,11.96,224,0.875,bicubic,-53.840,-43.583,+35
tv_resnet50,36.177,63.823,52.803,47.197,25.56,224,0.875,bilinear,-55.963,-45.617,+2
tv_resnet34,36.087,63.913,53.533,46.467,21.80,224,0.875,bilinear,-54.203,-44.447,+32
mobilenetv2_120d,36.780,63.220,54.047,45.953,5.83,224,0.875,bicubic,-55.830,-44.463,-12
tf_efficientnet_lite1,36.737,63.263,53.590,46.410,5.42,240,0.882,bicubic,-55.573,-44.900,+1
regnetx_016,36.683,63.317,53.297,46.703,9.19,224,0.875,bicubic,-55.857,-45.253,-6
efficientnet_b0,36.600,63.400,53.497,46.503,5.29,224,0.875,bicubic,-55.880,-45.183,-6
skresnet18,36.320,63.680,54.197,45.803,11.96,224,0.875,bicubic,-53.840,-43.583,+37
tv_resnet50,36.177,63.823,52.803,47.197,25.56,224,0.875,bilinear,-55.963,-45.617,+3
legacy_seresnet34,36.143,63.857,52.553,47.447,21.96,224,0.875,bilinear,-55.337,-45.647,+12
tv_resnet34,36.087,63.913,53.533,46.467,21.80,224,0.875,bilinear,-54.203,-44.447,+33
mobilenetv2_140,36.000,64.000,53.943,46.057,6.11,224,0.875,bicubic,-56.030,-44.307,+1
tf_efficientnet_lite0,35.930,64.070,53.480,46.520,4.65,224,0.875,bicubic,-55.370,-44.610,+14
tf_efficientnet_lite0,35.930,64.070,53.480,46.520,4.65,224,0.875,bicubic,-55.370,-44.610,+15
selecsls42b,35.813,64.187,52.487,47.513,32.46,224,0.875,bicubic,-56.667,-45.953,-12
gluon_resnet34_v1b,35.763,64.237,52.187,47.813,21.80,224,0.875,bicubic,-55.337,-45.993,+21
dla34,35.643,64.357,52.783,47.217,15.74,224,0.875,bilinear,-55.597,-45.397,+14
gluon_resnet34_v1b,35.763,64.237,52.187,47.813,21.80,224,0.875,bicubic,-55.337,-45.993,+22
dla34,35.643,64.357,52.783,47.217,15.74,224,0.875,bilinear,-55.597,-45.397,+15
mixnet_m,35.640,64.360,52.430,47.570,5.01,224,0.875,bicubic,-56.630,-45.920,-9
efficientnet_lite0,35.620,64.380,53.657,46.343,4.65,224,0.875,bicubic,-55.640,-44.593,+11
ssl_resnet18,35.597,64.403,53.740,46.260,11.69,224,0.875,bilinear,-55.103,-44.280,+21
efficientnet_lite0,35.620,64.380,53.657,46.343,4.65,224,0.875,bicubic,-55.640,-44.593,+12
ssl_resnet18,35.597,64.403,53.740,46.260,11.69,224,0.875,bilinear,-55.103,-44.280,+22
tf_efficientnet_es,35.563,64.437,52.790,47.210,5.44,224,0.875,bicubic,-56.987,-45.720,-21
mobilenetv3_rw,35.547,64.453,53.713,46.287,5.48,224,0.875,bicubic,-56.003,-44.557,0
mobilenetv2_110d,35.293,64.707,52.830,47.170,4.52,224,0.875,bicubic,-56.057,-45.360,+4
mobilenetv2_110d,35.293,64.707,52.830,47.170,4.52,224,0.875,bicubic,-56.057,-45.360,+5
tf_mixnet_m,35.180,64.820,50.987,49.013,5.01,224,0.875,bicubic,-57.020,-47.433,-12
hrnet_w18_small_v2,35.173,64.827,52.440,47.560,15.60,224,0.875,bilinear,-55.997,-45.900,+10
ese_vovnet19b_dw,34.840,65.160,52.030,47.970,6.54,224,0.875,bicubic,-57.170,-46.480,-11
regnety_008,34.807,65.193,51.743,48.257,6.26,224,0.875,bicubic,-57.093,-46.677,-10
hrnet_w18_small_v2,35.173,64.827,52.440,47.560,15.60,224,0.875,bilinear,-55.997,-45.900,+11
resnet18d,35.127,64.873,52.890,47.110,11.71,224,0.875,bicubic,-54.863,-44.940,+21
ese_vovnet19b_dw,34.840,65.160,52.030,47.970,6.54,224,0.875,bicubic,-57.170,-46.480,-12
regnety_008,34.807,65.193,51.743,48.257,6.26,224,0.875,bicubic,-57.093,-46.677,-11
mobilenetv3_large_100,34.603,65.397,52.860,47.140,5.48,224,0.875,bicubic,-56.877,-45.460,-5
seresnext26d_32x4d,34.543,65.457,51.543,48.457,16.81,224,0.875,bicubic,-57.897,-46.997,-25
seresnext26tn_32x4d,34.540,65.460,51.377,48.623,16.81,224,0.875,bicubic,-58.280,-47.183,-40
resnet26d,34.273,65.727,51.687,48.313,16.01,224,0.875,bicubic,-57.957,-46.763,-20
seresnext26d_32x4d,34.543,65.457,51.543,48.457,16.81,224,0.875,bicubic,-57.897,-46.997,-26
seresnext26tn_32x4d,34.540,65.460,51.377,48.623,16.81,224,0.875,bicubic,-58.280,-47.183,-45
resnet26d,34.273,65.727,51.687,48.313,16.01,224,0.875,bicubic,-57.957,-46.763,-21
fbnetc_100,34.253,65.747,51.180,48.820,5.57,224,0.875,bilinear,-57.017,-46.650,-3
seresnext26t_32x4d,34.210,65.790,51.460,48.540,16.82,224,0.875,bicubic,-58.750,-47.020,-54
regnety_006,34.150,65.850,51.277,48.723,6.06,224,0.875,bicubic,-57.420,-47.153,-13
seresnext26t_32x4d,34.210,65.790,51.460,48.540,16.82,224,0.875,bicubic,-58.750,-47.020,-59
regnety_006,34.150,65.850,51.277,48.723,6.06,224,0.875,bicubic,-57.420,-47.153,-14
tf_mobilenetv3_large_100,33.950,66.050,51.490,48.510,5.48,224,0.875,bilinear,-57.470,-46.770,-10
regnetx_008,33.770,66.230,50.547,49.453,7.26,224,0.875,bicubic,-57.410,-47.833,-2
mnasnet_100,33.763,66.237,51.170,48.830,4.38,224,0.875,bicubic,-57.437,-46.880,-5
semnasnet_100,33.520,66.480,50.787,49.213,3.89,224,0.875,bicubic,-58.140,-47.483,-18
semnasnet_100,33.520,66.480,50.787,49.213,3.89,224,0.875,bicubic,-58.140,-47.483,-19
resnet26,33.500,66.500,50.927,49.073,16.00,224,0.875,bicubic,-57.940,-47.353,-15
mixnet_s,33.480,66.520,50.997,49.003,4.13,224,0.875,bicubic,-58.300,-47.303,-22
mixnet_s,33.480,66.520,50.997,49.003,4.13,224,0.875,bicubic,-58.300,-47.303,-23
spnasnet_100,33.477,66.523,51.267,48.733,4.42,224,0.875,bilinear,-57.133,-46.683,+1
regnetx_006,33.157,66.843,50.250,49.750,6.20,224,0.875,bicubic,-57.603,-47.850,-2
resnet18,33.067,66.933,51.170,48.830,11.69,224,0.875,bilinear,-55.083,-45.950,+9
resnet18,33.067,66.933,51.170,48.830,11.69,224,0.875,bilinear,-55.083,-45.950,+11
legacy_seresnext26_32x4d,32.757,67.243,49.237,50.763,16.79,224,0.875,bicubic,-59.813,-49.283,-47
hrnet_w18_small,32.667,67.333,50.587,49.413,13.19,224,0.875,bilinear,-57.213,-47.313,+2
mobilenetv2_100,32.523,67.477,50.800,49.200,3.50,224,0.875,bicubic,-57.307,-47.030,+2
regnetx_004,32.517,67.483,49.343,50.657,5.16,224,0.875,bicubic,-56.943,-48.427,+2
legacy_seresnet18,32.600,67.400,50.340,49.660,11.78,224,0.875,bicubic,-56.670,-47.340,+4
mobilenetv2_100,32.523,67.477,50.800,49.200,3.50,224,0.875,bicubic,-57.307,-47.030,+1
regnetx_004,32.517,67.483,49.343,50.657,5.16,224,0.875,bicubic,-56.943,-48.427,+1
gluon_resnet18_v1b,32.407,67.593,49.727,50.273,11.69,224,0.875,bicubic,-56.253,-47.373,+3
regnety_004,32.333,67.667,49.453,50.547,4.34,224,0.875,bicubic,-58.447,-48.627,-9
tf_mixnet_s,32.183,67.817,48.493,51.507,4.13,224,0.875,bicubic,-59.497,-49.747,-30
tf_mobilenetv3_large_075,31.867,68.133,49.110,50.890,3.99,224,0.875,bilinear,-58.453,-48.760,-7
regnety_004,32.333,67.667,49.453,50.547,4.34,224,0.875,bicubic,-58.447,-48.627,-11
tf_mixnet_s,32.183,67.817,48.493,51.507,4.13,224,0.875,bicubic,-59.497,-49.747,-33
tf_mobilenetv3_large_075,31.867,68.133,49.110,50.890,3.99,224,0.875,bilinear,-58.453,-48.760,-9
tf_mobilenetv3_large_minimal_100,31.597,68.403,49.337,50.663,3.92,224,0.875,bilinear,-57.583,-47.983,-2
regnety_002,29.687,70.313,46.787,53.213,3.16,224,0.875,bicubic,-58.513,-50.643,-1
regnetx_002,28.860,71.140,45.420,54.580,2.68,224,0.875,bicubic,-58.520,-51.570,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
3 ig_resnext101_32x32d 79.457 20.543 89.183 10.817 468.53 224 0.875 bilinear -17.323 -10.347 +5
4 ig_resnext101_32x16d 78.837 21.163 88.480 11.520 194.03 224 0.875 bilinear -17.603 -11.060 +9
5 tf_efficientnet_l2_ns_475 76.480 23.520 88.653 11.347 480.31 475 0.936 bicubic -21.270 -11.167 -2
6 swsl_resnext101_32x16d 76.303 23.697 87.733 12.267 194.03 224 0.875 bilinear -19.967 -11.767 +11 +12
7 ig_resnext101_32x8d 75.813 24.187 86.200 13.800 88.79 224 0.875 bilinear -20.117 -13.180 +18 +20
8 swsl_resnext101_32x8d 75.590 24.410 86.937 13.063 88.79 224 0.875 bilinear -20.650 -12.653 +10 +11
9 tf_efficientnet_l2_ns 74.650 25.350 87.543 12.457 480.31 800 0.960 bicubic -23.130 -12.347 -7
10 swsl_resnext101_32x4d 72.660 27.340 85.157 14.843 44.18 224 0.875 bilinear -23.390 -14.373 +13 +15
11 swsl_resnext50_32x4d 68.977 31.023 82.810 17.190 25.03 224 0.875 bilinear -26.643 -16.630 +15 +17
12 swsl_resnet50 68.297 31.703 83.313 16.687 25.56 224 0.875 bilinear -26.903 -16.077 +24 +28
13 tf_efficientnet_b7_ns 67.510 32.490 81.383 18.617 66.35 600 0.949 bicubic -29.690 -18.317 -9
14 tf_efficientnet_b6_ns 65.587 34.413 79.553 20.447 43.04 528 0.942 bicubic -31.433 -20.157 -9
15 tf_efficientnet_b5_ns 63.047 36.953 77.777 22.223 30.39 456 0.934 bicubic -33.823 -21.863 -8
16 tf_efficientnet_b4_ns 61.230 38.770 76.173 23.827 19.34 380 0.922 bicubic -35.480 -23.467 -7
17 tf_efficientnet_b8_ap 57.830 42.170 72.957 27.043 87.41 672 0.954 bicubic -38.720 -26.583 -5
18 tf_efficientnet_b3_ns 57.417 42.583 72.387 27.613 12.23 300 0.904 bicubic -38.683 -27.093 +2 +4
19 tf_efficientnet_b5_ap vit_large_patch16_384 53.870 54.750 46.130 45.250 69.160 70.007 30.840 29.993 30.39 304.72 456 384 0.934 1.000 bicubic -42.210 -41.610 -30.380 -29.623 +2 -4
20 tf_efficientnet_b2_ns tf_efficientnet_b5_ap 53.600 53.870 46.400 46.130 70.270 69.160 29.730 30.840 9.11 30.39 260 456 0.890 0.934 bicubic -41.920 -42.210 -29.070 -30.380 +9 +3
21 tf_efficientnet_b6_ap tf_efficientnet_b2_ns 53.560 53.600 46.440 46.400 68.550 70.270 31.450 29.730 43.04 9.11 528 260 0.942 0.890 bicubic -42.810 -41.920 -31.000 -29.070 -7 +10
22 tf_efficientnet_b8 tf_efficientnet_b6_ap 53.410 53.560 46.590 46.440 69.090 68.550 30.910 31.450 87.41 43.04 672 528 0.954 0.942 bicubic -43.290 -42.810 -30.440 -31.000 -12 -8
23 tf_efficientnet_b8 53.410 46.590 69.090 30.910 87.41 672 0.954 bicubic -43.290 -30.440 -13
24 tf_efficientnet_b7_ap 53.260 46.740 68.873 31.127 66.35 600 0.949 bicubic -43.090 -30.717 -8
25 tf_efficientnet_b4_ap 53.090 46.910 68.210 31.790 19.34 380 0.922 bicubic -42.400 -31.180 +7 +8
26 tf_efficientnet_b7 52.393 47.607 68.233 31.767 66.35 600 0.949 bicubic -44.187 -31.277 -14 -15
27 swsl_resnet18 52.327 47.673 70.480 29.520 11.69 224 0.875 bilinear -38.763 -27.730 +195 +213
28 tf_efficientnet_b1_ns 50.883 49.117 67.910 32.090 7.79 240 0.882 bicubic -43.977 -31.340 +20 +24
29 vit_base_patch16_384 50.883 49.117 65.270 34.730 86.86 384 1.000 bicubic -45.307 -34.260 -9
30 ssl_resnext101_32x16d 50.257 49.743 66.033 33.967 194.03 224 0.875 bilinear -45.153 -33.267 +5
31 resnest269e 50.153 49.847 64.670 35.330 110.93 416 0.928 bicubic -45.967 -34.850 -10
32 tf_efficientnet_b3_ap 50.057 49.943 65.210 34.790 12.23 300 0.904 bicubic -44.913 -33.900 +12 +16
33 resnest200e 49.873 50.127 64.743 35.257 70.20 320 0.909 bicubic -46.197 -34.737 -9
34 tf_efficientnet_b5 49.510 50.490 65.657 34.343 30.39 456 0.934 bicubic -46.470 -33.793 -8
35 resnest101e 49.367 50.633 65.587 34.413 48.28 256 0.875 bilinear -46.203 -33.683 -5
36 ssl_resnext101_32x8d 49.067 50.933 65.480 34.520 88.79 224 0.875 bilinear -46.273 -33.840 +1
37 ecaresnet101d efficientnet_b3a 48.527 48.563 51.473 51.437 64.100 64.250 35.900 35.750 44.57 12.23 224 320 0.875 1.000 bicubic -46.633 -46.577 -35.130 -34.960 +2 +7
38 resnest50d_4s2x40d ecaresnet101d 47.483 48.527 52.517 51.473 63.807 64.100 36.193 35.900 30.42 44.57 224 0.875 bicubic -47.227 -46.633 -35.323 -35.130 +14 +3
39 efficientnet_b3_pruned vit_large_patch32_384 47.447 48.250 52.553 51.750 62.793 61.830 37.207 38.170 9.86 306.63 300 384 0.904 1.000 bicubic -47.133 -46.990 -36.277 -37.490 +19 0
40 tf_efficientnet_b6 efficientnet_b3 47.213 48.170 52.787 51.830 63.110 64.133 36.890 35.867 43.04 12.23 528 300 0.942 0.904 bicubic -49.077 -46.800 -36.410 -35.097 -22 +7
41 ssl_resnext101_32x4d resnest50d_4s2x40d 47.177 47.483 52.823 52.517 63.367 63.807 36.633 36.193 44.18 30.42 224 0.875 bilinear bicubic -47.983 -47.227 -35.933 -35.323 -1 +16
42 tf_efficientnet_b4 efficientnet_b3_pruned 47.083 47.447 52.917 52.553 62.867 62.793 37.133 37.207 19.34 9.86 380 300 0.922 0.904 bicubic -48.507 -47.133 -36.463 -36.277 -13 +22
43 gluon_seresnext101_64x4d tf_efficientnet_b6 46.677 47.213 53.323 52.787 61.303 63.110 38.697 36.890 88.23 43.04 224 528 0.875 0.942 bicubic -47.973 -49.077 -37.677 -36.410 +13 -26
44 tresnet_xl ssl_resnext101_32x4d 46.283 47.177 53.717 52.823 61.943 63.367 38.057 36.633 78.44 44.18 224 0.875 bilinear -48.777 -47.983 -37.317 -35.933 -1 -2
45 resnest50d_1s4x24d tf_efficientnet_b4 46.083 47.083 53.917 52.917 62.377 62.867 37.623 37.133 25.68 19.34 224 380 0.875 0.922 bicubic -48.307 -48.507 -36.693 -36.463 +19 -16
46 tf_efficientnet_b0_ns vit_base_patch16_224 46.047 46.710 53.953 53.290 63.253 62.997 36.747 37.003 5.29 86.54 224 0.875 0.900 bicubic -47.693 -46.890 -35.727 -35.763 +70 +95
47 resnest50d gluon_seresnext101_64x4d 45.937 46.677 54.063 53.323 62.623 61.303 37.377 38.697 27.48 88.23 224 0.875 bilinear bicubic -48.683 -47.973 -36.407 -37.677 +10 +15
48 gluon_seresnext101_32x4d regnety_032 45.590 46.620 54.410 53.380 61.143 62.180 38.857 37.820 48.96 19.44 224 0.875 bicubic -48.860 -48.450 -37.947 -37.030 +13 -3
49 gluon_resnet152_v1d tresnet_xl 45.430 46.283 54.570 53.717 60.077 61.943 39.923 38.057 60.21 78.44 224 0.875 bicubic bilinear -49.010 -48.777 -38.933 -37.317 +14 -3
50 resnest50d_1s4x24d 46.083 53.917 62.377 37.623 25.68 224 0.875 bicubic -48.307 -36.693 +20
51 tf_efficientnet_b0_ns 46.047 53.953 63.253 36.747 5.29 224 0.875 bicubic -47.693 -35.727 +75
52 resnest50d 45.937 54.063 62.623 37.377 27.48 224 0.875 bilinear -48.683 -36.407 +11
53 gluon_seresnext101_32x4d 45.590 54.410 61.143 38.857 48.96 224 0.875 bicubic -48.860 -37.947 +14
54 gluon_resnet152_v1d 45.430 54.570 60.077 39.923 60.21 224 0.875 bicubic -49.010 -38.933 +15
55 ssl_resnext50_32x4d 45.407 54.593 62.047 37.953 25.03 224 0.875 bilinear -49.293 -37.193 +3
56 tresnet_xl_448 45.223 54.777 61.437 38.563 78.44 448 0.875 bilinear -50.287 -37.903 -19 -24
57 nasnetalarge 45.210 54.790 57.883 42.117 88.75 331 0.911 bicubic -49.940 -41.247 -11 -14
58 tf_efficientnet_b3 45.107 54.893 60.650 39.350 12.23 300 0.904 bicubic -49.803 -38.460 -7 -9
59 rexnet_200 45.047 54.953 62.317 37.683 16.37 224 0.875 bicubic -49.613 -36.773 0 +1
60 ecaresnetlight 44.890 55.110 60.770 39.230 30.16 224 0.875 bicubic -49.250 -38.180 +27 +28
61 tf_efficientnet_b2_ap 44.700 55.300 60.680 39.320 9.11 260 0.890 bicubic -49.570 -38.270 +17 +18
62 vit_base_patch32_384 44.693 55.307 58.530 41.470 88.30 384 1.000 bicubic -50.567 -40.650 -24
63 ens_adv_inception_resnet_v2 44.393 55.607 58.117 41.883 55.84 299 0.897 bicubic -49.737 -40.673 +27
64 tresnet_l 44.363 55.637 59.953 40.047 55.99 224 0.875 bilinear -50.537 -39.077 -11 -14
65 gluon_resnext101_32x4d 44.290 55.710 59.090 40.910 44.18 224 0.875 bicubic -49.830 -39.840 +27 +28
66 cspresnext50 wide_resnet50_2 44.147 44.177 55.853 55.823 60.533 59.727 39.467 40.273 20.57 68.88 224 0.875 bilinear bicubic -49.613 -50.493 -38.307 -39.323 +52 -7
67 gluon_resnet152_v1s cspresnext50 44.073 44.147 55.927 55.853 58.703 60.533 41.297 39.467 60.32 20.57 224 0.875 bicubic bilinear -50.647 -49.613 -40.357 -38.307 -11 +54
68 ssl_resnet50 seresnext50_32x4d 44.010 44.127 55.990 55.873 61.887 59.490 38.113 40.510 25.56 27.56 224 0.875 bilinear bicubic -50.300 -50.693 -37.263 -39.640 +8 -15
69 inception_resnet_v2 gluon_resnet152_v1s 44.003 44.073 55.997 55.927 57.907 58.703 42.093 41.297 55.84 60.32 299 224 0.897 0.875 bicubic -50.337 -50.647 -40.893 -40.357 +6 -14
70 pnasnet5large ssl_resnet50 43.950 44.010 56.050 55.990 56.730 61.887 43.270 38.113 86.06 25.56 331 224 0.911 0.875 bicubic bilinear -51.410 -50.300 -42.400 -37.263 -28 +6
71 gluon_resnext101_64x4d inception_resnet_v2 43.877 44.003 56.123 55.997 58.710 57.907 41.290 42.093 83.46 55.84 224 299 0.875 0.897 bicubic -50.473 -50.337 -40.170 -40.893 +2 +4
72 ecaresnet50d pnasnet5large 43.750 43.950 56.250 56.050 60.387 56.730 39.613 43.270 25.58 86.06 224 331 0.875 0.911 bicubic -50.440 -51.410 -38.633 -42.400 +12 -36
73 ecaresnet101d_pruned gluon_resnext101_64x4d 43.737 43.877 56.263 56.123 59.607 58.710 40.393 41.290 24.88 83.46 224 0.875 bicubic -50.713 -50.473 -39.493 -40.170 -7 0
74 rexnet_150 ecaresnet50d 43.690 43.750 56.310 56.250 60.897 60.387 39.103 39.613 9.73 25.58 224 0.875 bicubic -50.580 -50.440 -38.183 -38.543 +4 +9
75 efficientnet_b3a ecaresnet101d_pruned 43.677 43.737 56.323 56.263 59.897 59.607 40.103 40.393 12.23 24.88 320 224 1.000 0.875 bicubic -51.443 -50.713 -39.223 -39.473 -27 -7
76 efficientnet_b3 rexnet_150 43.597 43.690 56.403 56.310 59.810 60.897 40.190 39.103 12.23 9.73 300 224 0.904 0.875 bicubic -51.363 -50.580 -39.390 -38.183 -25 +2
77 gluon_resnet101_v1d 43.440 56.560 58.613 41.387 44.57 224 0.875 bicubic -50.730 -40.397 -40.327 +9 +8
78 gluon_resnet101_v1s 43.363 56.637 58.503 41.497 44.67 224 0.875 bicubic -50.807 -40.407 -40.507 +9 +8
79 cspdarknet53 43.357 56.643 59.430 40.570 27.64 256 0.887 bilinear -50.733 -39.550 +15 +16
80 dpn68b 43.287 56.713 58.673 41.327 12.61 224 0.875 bicubic -50.333 -40.027 +54 +58
81 resnest26d 43.140 56.860 60.623 39.377 17.07 224 0.875 bilinear -50.100 -38.227 +76 +82
82 dpn131 43.047 56.953 57.440 42.560 79.25 224 0.875 bicubic -50.713 -41.360 +37 +40
83 tf_efficientnet_lite4 cspresnet50 42.967 43.030 57.033 56.970 57.620 59.153 42.380 40.847 13.01 21.62 380 256 0.920 0.887 bilinear -51.903 -50.830 -41.470 -39.717 -29 +28
84 gluon_resnet152_v1b tf_efficientnet_lite4 42.903 42.967 57.097 57.033 57.750 57.620 42.250 42.380 60.19 13.01 224 380 0.875 0.920 bicubic bilinear -51.127 -51.903 -40.990 -41.470 +13 -33
85 dpn107 gluon_resnet152_v1b 42.857 42.903 57.143 57.097 57.367 57.750 42.633 42.250 86.92 60.19 224 0.875 bicubic -51.103 -51.127 -41.473 -41.290 +17 +15
86 tf_efficientnet_b1_ap dpn107 42.803 42.857 57.197 57.143 58.813 57.367 41.187 42.633 7.79 86.92 240 224 0.882 0.875 bicubic -50.827 -51.103 -39.987 -41.473 +47 +18
87 gluon_resnet152_v1c tf_efficientnet_b1_ap 42.800 42.803 57.200 57.197 57.737 58.813 42.263 41.187 60.21 7.79 224 240 0.875 0.882 bicubic -51.080 -50.827 -41.063 -39.987 +20 +50
88 gluon_xception65 gluon_resnet152_v1c 42.793 42.800 57.207 57.200 58.820 57.737 41.180 42.263 39.92 60.21 299 224 0.903 0.875 bicubic -51.217 -51.080 -40.210 -41.063 +12 +21
89 tresnet_l_448 gluon_xception65 42.753 42.793 57.247 57.207 58.947 58.820 41.053 41.180 55.99 39.92 448 299 0.875 0.903 bilinear bicubic -52.657 -51.217 -40.463 -40.200 -49 +12
90 tresnet_l_448 42.753 57.247 58.947 41.053 55.99 448 0.875 bilinear -52.657 -40.463 -56
91 resnet50d 42.707 57.293 58.697 41.303 25.58 224 0.875 bicubic -51.363 -40.223 +6
92 tresnet_m 42.687 57.313 58.153 41.847 31.39 224 0.875 bilinear -51.383 -40.677 +6
93 gluon_seresnext50_32x4d 42.683 57.317 58.710 41.290 27.56 224 0.875 bicubic -51.487 -40.230 -40.200 -6
94 resnext101_32x8d 42.557 57.443 58.317 41.683 88.79 224 0.875 bilinear -51.213 -40.633 +25 +26
95 seresnet50 42.510 57.490 58.667 41.333 28.09 224 0.875 bicubic -51.570 -40.303 +2 +1
96 dpn98 42.280 57.720 56.880 43.120 61.57 224 0.875 bicubic -51.660 -42.040 +10
97 tf_efficientnet_cc_b1_8e 42.233 57.767 58.420 41.580 39.72 240 0.882 bicubic -51.337 -40.270 +45 +48
98 tf_efficientnet_b2 legacy_senet154 42.120 42.207 57.880 57.793 58.197 56.597 41.803 43.403 9.11 115.09 260 224 0.890 0.875 bicubic bilinear -52.090 -52.523 -40.833 -42.503 -14 -44
99 gluon_resnext50_32x4d tf_efficientnet_b2 42.043 42.120 57.957 57.880 57.667 58.197 42.333 41.803 25.03 9.11 224 260 0.875 0.890 bicubic -51.607 -52.090 -41.023 -40.833 +33 -17
100 resnet50 gluon_resnext50_32x4d 42.013 42.043 57.987 57.957 56.000 57.667 44.000 42.333 25.56 25.03 224 0.875 bicubic -51.447 -51.607 -42.600 -41.023 +51 +34
101 resnet50 42.013 57.987 56.000 44.000 25.56 224 0.875 bicubic -51.447 -42.600 +52
102 ecaresnet50d_pruned 41.953 58.047 58.217 41.783 19.94 224 0.875 bicubic -51.867 -40.783 +13
103 efficientnet_b2a 41.933 58.067 58.300 41.700 9.11 288 1.000 bicubic -52.437 -40.750 -28 -31
104 dla102x2 41.647 58.353 57.967 42.033 41.28 224 0.875 bilinear -52.353 -41.063 0 -1
105 hrnet_w64 41.637 58.363 57.130 42.870 128.06 224 0.875 bilinear -52.193 -41.800 +9
106 efficientnet_b2 41.627 58.373 58.033 41.967 9.11 260 0.875 bicubic -52.713 -41.067 -29 -32
107 gluon_senet154 41.627 58.373 56.373 43.627 115.09 224 0.875 bicubic -53.083 -42.597 -47 -51
108 inception_v4 41.577 58.423 55.383 44.617 42.68 299 0.875 bicubic -52.803 -43.437 -34 -37
109 tf_efficientnet_cc_b0_8e efficientnet_em 41.487 41.493 58.513 58.507 57.377 58.877 42.623 41.123 24.01 6.90 224 240 0.875 0.882 bicubic -51.383 -52.247 -41.083 -40.053 +72 +16
110 resnext50_32x4d tf_efficientnet_cc_b0_8e 41.443 41.487 58.557 58.513 56.997 57.377 43.003 42.623 25.03 24.01 224 0.875 bicubic -52.397 -51.383 -41.833 -41.083 +3 +74
111 resnet152 resnext50_32x4d 41.327 41.443 58.673 58.557 57.520 56.997 42.480 43.003 60.19 25.03 224 0.875 bilinear bicubic -51.913 -52.397 -41.230 -41.833 +50 +2
112 xception71 tv_resnet152 41.270 41.327 58.730 58.673 55.873 57.520 44.127 42.480 42.34 60.19 299 224 0.903 0.875 bicubic bilinear -52.620 -51.913 -43.077 -41.230 -3 +52
113 dpn92 xception71 41.267 41.270 58.733 58.730 56.333 55.873 43.667 44.127 37.67 42.34 224 299 0.875 0.903 bicubic -52.923 -52.620 -42.597 -43.077 -27 -5
114 adv_inception_v3 dpn92 41.263 41.267 58.737 58.733 56.317 56.333 43.683 43.667 23.83 37.67 299 224 0.875 bicubic -51.747 -52.923 -42.173 -42.687 +55 -30
115 adv_inception_v3 41.263 58.737 56.317 43.683 23.83 299 0.875 bicubic -51.747 -42.173 +57
116 resnetblur50 41.053 58.947 57.077 42.923 25.56 224 0.875 bicubic -52.657 -41.733 +13
117 gluon_resnet50_v1d 40.970 59.030 57.137 42.863 25.58 224 0.875 bicubic -52.560 -41.573 +30 +31
118 gluon_inception_v3 40.907 59.093 55.617 44.383 23.83 299 0.875 bicubic -52.633 -43.213 +27 +28
119 ese_vovnet39b 40.867 59.133 56.950 43.050 24.57 224 0.875 bicubic -52.983 -41.950 -6 -7
120 regnety_320 40.813 59.187 56.117 43.883 145.05 224 0.875 bicubic -53.707 -43.053 -51 -55
121 xception resnet34d 40.763 40.810 59.237 59.190 56.387 56.530 43.613 43.470 22.86 21.82 299 224 0.897 0.875 bicubic -52.877 -51.830 -42.383 -41.890 +14 +72
122 skresnext50_32x4d xception 40.700 40.763 59.300 59.237 56.023 56.387 43.977 43.613 27.48 22.86 224 299 0.875 0.897 bicubic -53.250 -52.877 -42.797 -42.383 -15 +13
123 gluon_resnet101_v1b skresnext50_32x4d 40.683 40.700 59.317 59.300 56.117 56.023 43.883 43.977 44.55 27.48 224 0.875 bicubic -53.077 -53.250 -42.583 -42.797 +1 -18
124 hrnet_w40 gluon_resnet101_v1b 40.660 40.683 59.340 59.317 56.753 56.117 43.247 43.883 57.56 44.55 224 0.875 bilinear bicubic -53.050 -53.077 -42.047 -42.583 +4 -1
125 tf_efficientnet_lite3 hrnet_w40 40.563 40.660 59.437 59.340 56.477 56.753 43.523 43.247 8.20 57.56 300 224 0.904 0.875 bilinear -53.567 -53.050 -42.483 -42.047 -30 +3
126 tresnet_m_448 tf_efficientnet_lite3 40.530 40.563 59.470 59.437 56.700 56.477 43.300 43.523 31.39 8.20 448 300 0.875 0.904 bilinear -54.130 -53.567 -42.450 -42.483 -61 -34
127 dla169 tresnet_m_448 40.493 40.530 59.507 59.470 57.263 56.700 42.737 43.300 53.39 31.39 224 448 0.875 bilinear -53.307 -54.130 -41.647 -42.450 -8 -66
128 regnetx_320 dla169 40.443 40.493 59.557 59.507 55.660 57.263 44.340 42.737 107.81 53.39 224 0.875 bicubic bilinear -53.767 -53.307 -43.390 -41.577 -43 -11
129 skresnet34 regnetx_320 40.397 40.443 59.603 59.557 56.737 55.660 43.263 44.340 22.28 107.81 224 0.875 bicubic -52.173 -53.767 -41.783 -43.390 +64 -48
130 efficientnet_b2_pruned skresnet34 40.383 40.397 59.617 59.603 56.537 56.737 43.463 43.263 8.31 22.28 260 224 0.890 0.875 bicubic -53.417 -52.173 -42.303 -41.683 -12 +68
131 wide_resnet101_2 efficientnet_b2_pruned 40.360 40.383 59.640 59.617 55.780 56.537 44.220 43.463 126.89 8.31 224 260 0.875 0.890 bilinear bicubic -53.370 -53.417 -43.030 -42.373 -4 -13
132 tf_efficientnet_b0_ap wide_resnet101_2 40.337 40.360 59.663 59.640 56.787 55.780 43.213 44.220 5.29 126.89 224 0.875 bicubic bilinear -52.273 -53.370 -41.583 -43.030 +59 -6
133 xception65 legacy_seresnext101_32x4d 40.273 40.360 59.727 59.640 55.283 54.817 44.717 45.183 39.92 48.96 299 224 0.903 0.875 bicubic bilinear -53.487 -53.770 -43.577 -44.153 -8 -41
134 regnetx_160 tf_efficientnet_b0_ap 40.270 40.337 59.730 59.663 56.050 56.787 43.950 43.213 54.28 5.29 224 0.875 bicubic -53.610 -52.273 -43.040 -41.583 -22 +61
135 xception65 40.273 59.727 55.283 44.717 39.92 299 0.903 bicubic -53.487 -43.577 -11
136 regnetx_160 40.270 59.730 56.050 43.950 54.28 224 0.875 bicubic -53.610 -43.040 -26
137 densenet201 40.267 59.733 56.710 43.290 20.01 224 0.875 bicubic -52.423 -41.940 +53
138 resnext50d_32x4d 40.170 59.830 55.487 44.513 25.05 224 0.875 bicubic -53.640 -43.253 -19 -22
139 hrnet_w48 vit_small_patch16_224 40.093 40.130 59.907 59.870 56.640 56.543 43.360 43.457 77.47 48.75 224 0.875 0.900 bilinear bicubic -53.937 -52.470 -42.400 -41.847 -35 +57
140 hrnet_w30 hrnet_w48 40.030 40.093 59.970 59.907 57.093 56.640 42.907 43.360 37.71 77.47 224 0.875 bilinear -53.340 -53.937 -41.737 -42.100 +19 -41
141 regnetx_080 legacy_seresnet152 40.000 40.043 60.000 59.957 55.977 55.820 44.023 44.180 39.57 66.82 224 0.875 bicubic bilinear -53.790 -53.397 -42.933 -43.030 -19 +14
142 tf_efficientnet_b1 hrnet_w30 39.977 40.030 60.023 59.970 56.137 57.093 43.863 42.907 7.79 37.71 240 224 0.882 0.875 bicubic bilinear -53.733 -53.340 -42.663 -41.737 -10 +16
143 gluon_resnet101_v1c regnetx_080 39.953 40.000 60.047 60.000 55.300 55.977 44.700 44.023 44.57 39.57 224 0.875 bicubic -53.737 -53.790 -43.460 -42.933 -10 -24
144 res2net101_26w_4s tf_efficientnet_b1 39.717 39.977 60.283 60.023 54.550 56.137 45.450 43.863 45.21 7.79 224 240 0.875 0.882 bilinear bicubic -53.803 -53.733 -44.050 -42.663 +6 -14
145 regnetx_120 gluon_resnet101_v1c 39.687 39.953 60.313 60.047 55.633 55.300 44.367 44.700 46.11 44.57 224 0.875 bicubic -54.583 -53.737 -43.557 -43.460 -62 -14
146 hrnet_w44 res2net101_26w_4s 39.677 39.717 60.323 60.283 55.333 54.550 44.667 45.450 67.06 45.21 224 0.875 bilinear -53.943 -53.803 -43.627 -44.050 -5 +3
147 densenet161 regnetx_120 39.620 39.687 60.380 60.313 56.133 55.633 43.867 44.367 28.68 46.11 224 0.875 bicubic -53.280 -54.583 -42.587 -43.557 +35 -70
148 mixnet_xl hrnet_w44 39.617 39.677 60.383 60.323 55.887 55.333 44.113 44.667 11.90 67.06 224 0.875 bicubic bilinear -54.613 -53.943 -42.933 -43.627 -62 -9
149 xception41 densenet161 39.610 39.620 60.390 60.380 55.037 56.133 44.963 43.867 26.97 28.68 299 224 0.903 0.875 bicubic -53.870 -53.280 -43.713 -42.587 +3 +33
150 res2net50_26w_8s mixnet_xl 39.603 39.617 60.397 60.383 54.550 55.887 45.450 44.113 48.40 11.90 224 0.875 bilinear bicubic -53.847 -54.613 -44.150 -42.933 +7 -70
151 tf_efficientnet_el xception41 39.563 39.610 60.437 60.390 55.310 55.037 44.690 44.963 10.59 26.97 300 299 0.904 0.903 bicubic -54.887 -53.870 -43.770 -43.713 -77 0
152 dla102x res2net50_26w_8s 39.553 39.603 60.447 60.397 56.323 54.550 43.677 45.450 26.31 48.40 224 0.875 bilinear -53.977 -53.847 -42.527 -44.150 -4 +2
153 rexnet_130 tf_efficientnet_el 39.487 39.563 60.513 60.437 56.640 55.310 43.360 44.690 7.56 10.59 224 300 0.875 0.904 bicubic -54.183 -54.887 -42.070 -43.790 -18 -87
154 hrnet_w32 dla102x 39.463 39.553 60.537 60.447 56.123 56.327 43.877 43.673 41.23 26.31 224 0.875 bilinear -53.487 -53.977 -42.717 -42.523 +23 -7
155 regnety_064 rexnet_130 39.403 39.487 60.597 60.513 55.773 56.640 44.227 43.360 30.58 7.56 224 0.875 bicubic -54.737 -54.183 -43.257 -42.070 -60 -22
156 densenetblur121d hrnet_w32 39.380 39.463 60.620 60.537 56.640 56.123 43.360 43.877 8.00 41.23 224 0.875 bicubic bilinear -53.020 -53.487 -41.770 -42.717 +46 +21
157 regnety_120 regnety_064 39.347 39.403 60.653 60.597 55.277 55.773 44.723 44.227 51.82 30.58 224 0.875 bicubic -54.663 -54.737 -43.743 -43.257 -52 -68
158 resnet101 densenetblur121d 39.307 39.380 60.693 60.620 55.803 56.640 44.197 43.360 44.55 8.00 224 0.875 bilinear bicubic -53.573 -53.020 -42.857 -41.770 +25 +48
159 regnety_160 regnety_120 39.260 39.347 60.740 60.653 55.433 55.277 44.567 44.723 83.59 51.82 224 0.875 bicubic -54.860 -54.663 -43.587 -43.753 -60 -57
160 tf_inception_v3 tv_resnet101 39.237 39.307 60.763 60.693 54.300 55.803 45.700 44.197 23.83 44.55 299 224 0.875 bicubic bilinear -53.963 -53.573 -44.180 -42.857 +5 +23
161 gluon_resnet50_v1s regnety_160 39.233 39.260 60.767 60.740 55.010 55.433 44.990 44.567 25.68 83.59 224 0.875 bicubic -54.357 -54.860 -43.830 -43.587 -18 -67
162 densenet169 tf_inception_v3 39.167 39.240 60.833 60.760 55.843 54.300 44.157 45.700 14.15 23.83 224 299 0.875 bicubic -53.133 -53.960 -42.747 -44.180 +43 +3
163 efficientnet_b1_pruned gluon_resnet50_v1s 39.010 39.233 60.990 60.767 55.647 55.010 44.353 44.990 6.33 25.68 240 224 0.882 0.875 bicubic -53.970 -54.357 -42.883 -43.830 +12 -21
164 inception_v3 densenet169 38.960 39.167 61.040 60.833 53.853 55.843 46.147 44.157 23.83 14.15 299 224 0.875 bicubic -53.940 -53.133 -44.957 -42.747 +16 +45
165 dpn68 legacy_seresnet101 38.933 39.037 61.067 60.963 54.933 55.003 45.067 44.997 12.61 49.33 224 0.875 bicubic bilinear -53.307 -54.223 -43.677 -43.737 +42 -5
166 regnety_080 efficientnet_b1_pruned 38.917 39.010 61.083 60.990 55.213 55.647 44.787 44.353 39.18 6.33 224 240 0.875 0.882 bicubic -54.973 -53.970 -43.787 -42.883 -55 +9
167 dla102 inception_v3 38.833 38.960 61.167 61.040 55.323 53.853 44.677 46.147 33.27 23.83 224 299 0.875 bilinear bicubic -54.427 -53.940 -43.457 -44.957 -7 +13
168 regnety_040 dpn68 38.820 38.933 61.180 61.067 55.557 54.933 44.443 45.067 20.65 12.61 224 0.875 bicubic -54.800 -53.307 -43.393 -43.677 -26 +43
169 regnety_080 38.917 61.083 55.213 44.787 39.18 224 0.875 bicubic -54.973 -43.787 -62
170 legacy_seresnext50_32x4d 38.877 61.123 54.593 45.407 27.56 224 0.875 bilinear -54.553 -44.207 -14
171 dla102 38.833 61.167 55.327 44.673 33.27 224 0.875 bilinear -54.427 -43.453 -12
172 regnety_040 38.820 61.180 55.557 44.443 20.65 224 0.875 bicubic -54.800 -43.393 -32
173 densenet121 38.783 61.217 56.273 43.727 7.98 224 0.875 bicubic -53.157 -42.007 +44
174 res2net50_14w_8s 38.710 61.290 54.077 45.923 25.06 224 0.875 bilinear -54.320 -44.623 +1 -3
175 regnetx_040 38.703 61.297 55.340 44.660 22.12 224 0.875 bicubic -54.977 -43.600 -37 -43
176 res2net50_26w_6s 38.687 61.313 53.743 46.257 37.05 224 0.875 bilinear -54.903 -45.007 -28 -33
177 regnetx_032 38.680 61.320 55.157 44.843 15.30 224 0.875 bicubic -54.570 -43.573 -11 -15
178 wide_resnet50_2 selecsls60 38.637 38.623 61.363 61.377 54.467 55.630 45.533 44.370 68.88 30.67 224 0.875 bilinear bicubic -54.823 -54.387 -44.483 -43.200 -18 -5
179 selecsls60 dla60x 38.623 38.617 61.377 61.383 55.630 55.383 44.370 44.617 30.67 17.35 224 0.875 bicubic bilinear -54.387 -54.573 -43.200 -43.327 -2 -13
180 dla60x tf_efficientnet_b0 38.617 38.600 61.383 61.400 55.383 55.957 44.617 44.043 17.35 5.29 224 0.875 bilinear bicubic -54.573 -53.800 -43.327 -42.513 -10 +27
181 tf_efficientnet_b0 dla60_res2net 38.600 38.590 61.400 61.410 55.957 54.560 44.043 45.440 5.29 20.85 224 0.875 bicubic bilinear -53.800 -54.790 -42.513 -44.300 +26 -24
182 dla60_res2net selecsls60b 38.590 38.573 61.410 61.427 54.560 55.307 45.440 44.693 20.85 32.77 224 0.875 bilinear bicubic -54.790 -54.927 -44.300 -43.533 -20 -32
183 selecsls60b dla60_res2next 38.573 38.450 61.427 61.550 55.307 54.950 44.693 45.050 32.77 17.03 224 0.875 bicubic bilinear -54.927 -55.120 -43.533 -43.850 -28 -39
184 dla60_res2next regnetx_064 38.450 38.430 61.550 61.570 54.950 54.990 45.050 45.010 17.03 26.21 224 0.875 bilinear bicubic -55.120 -55.200 -43.850 -44.060 -35 -48
185 regnetx_064 tf_efficientnet_cc_b0_4e 38.430 38.413 61.570 61.587 54.990 55.150 45.010 44.850 26.21 13.31 224 0.875 bicubic -55.200 -54.427 -44.060 -43.290 -43 +1
186 tf_efficientnet_cc_b0_4e gluon_resnet50_v1b 38.413 38.407 61.587 61.593 55.150 54.833 44.850 45.167 13.31 25.56 224 0.875 bicubic -54.427 -54.153 -43.290 -43.717 +4 +14
187 gluon_resnet50_v1b hrnet_w18 38.407 38.277 61.593 61.723 54.833 55.643 45.167 44.357 25.56 21.30 224 0.875 bicubic bilinear -54.153 -54.483 -43.717 -43.017 +13 +2
188 hrnet_w18 mixnet_l 38.277 38.160 61.723 61.840 55.643 54.757 44.357 45.243 21.30 7.33 224 0.875 bilinear bicubic -54.483 -55.100 -43.017 -43.943 +5 -27
189 regnety_032 efficientnet_b1 38.170 37.843 61.830 62.157 54.367 53.640 45.633 46.360 19.44 7.79 224 240 0.875 bicubic -55.290 -55.217 -44.583 -44.900 -31 -20
190 mixnet_l gluon_resnet50_v1c 38.160 37.843 61.840 62.157 54.757 54.123 45.243 45.877 7.33 25.58 224 0.875 bicubic -55.100 -55.067 -43.943 -44.587 -25 -11
191 efficientnet_b1 res2net50_26w_4s 37.843 37.827 62.157 62.173 53.640 53.073 46.360 46.927 7.79 25.70 240 224 0.875 bicubic bilinear -55.217 -55.353 -44.900 -45.597 -18 -24
192 gluon_resnet50_v1c efficientnet_es 37.843 37.770 62.157 62.230 54.123 54.967 45.877 45.033 25.58 5.44 224 0.875 bicubic -55.067 -55.140 -44.587 -43.723 -9 -14
193 res2net50_26w_4s resnest14d 37.827 37.767 62.173 62.233 53.073 56.470 46.927 43.530 25.70 10.61 224 0.875 bilinear -55.353 -53.363 -45.597 -41.860 -22 +45
194 efficientnet_es tv_resnext50_32x4d 37.770 37.750 62.230 62.250 54.967 54.113 45.033 45.887 5.44 25.03 224 0.875 bicubic bilinear -55.140 -55.150 -43.723 -44.217 -12 -13
195 resnest14d res2next50 37.767 37.477 62.233 62.523 56.470 52.853 43.530 47.147 10.61 24.67 224 0.875 bilinear -53.363 -55.673 -41.860 -45.807 +42 -27
196 tv_resnext50_32x4d resnet34 37.750 37.443 62.250 62.557 54.113 54.297 45.887 45.703 25.03 21.80 224 0.875 bilinear -55.150 -53.757 -44.217 -43.943 -11 +39
197 res2next50 tf_efficientnet_em 37.477 37.283 62.523 62.717 52.853 54.220 47.147 45.780 24.67 6.90 224 240 0.875 0.882 bilinear bicubic -55.673 -56.187 -45.807 -44.530 -25 -45
198 resnet34 res2net50_48w_2s 37.443 37.117 62.557 62.883 54.297 53.333 45.703 46.667 21.80 25.29 224 0.875 bilinear -53.757 -55.673 -43.943 -45.137 +36 -10
199 tf_efficientnet_em dla60 37.283 37.073 62.717 62.927 54.220 54.200 45.780 45.800 6.90 22.04 240 224 0.882 0.875 bicubic bilinear -56.187 -55.597 -44.530 -44.430 -42 -8
200 res2net50_48w_2s rexnet_100 37.117 37.063 62.883 62.937 53.333 54.020 46.667 45.980 25.29 4.80 224 0.875 bilinear bicubic -55.673 -55.787 -45.137 -44.600 -8 -15
201 dla60 regnety_016 37.073 37.017 62.927 62.983 54.200 54.093 45.800 45.907 22.04 11.20 224 0.875 bilinear bicubic -55.597 -55.983 -44.430 -44.587 -6 -27
202 rexnet_100 tf_mixnet_l 37.063 36.987 62.937 63.013 54.020 52.583 45.980 47.417 4.80 7.33 224 0.875 bicubic -55.787 -56.053 -44.600 -45.957 -13 -32
203 regnety_016 legacy_seresnet50 37.017 36.873 62.983 63.127 54.093 53.487 45.907 46.513 11.20 28.09 224 0.875 bicubic bilinear -55.983 -55.797 -44.587 -45.163 -25 -11
204 tf_mixnet_l tv_densenet121 36.987 36.810 63.013 63.190 52.583 54.033 47.417 45.967 7.33 7.98 224 0.875 bicubic -56.053 -54.590 -45.957 -44.217 -30 +24
tv_densenet121 36.810 63.190 54.033 45.967 7.98 224 0.875 bicubic -54.590 -44.217 +22
205 tf_efficientnet_lite2 36.807 63.193 53.320 46.680 6.09 260 0.890 bicubic -55.783 -45.230 -8
206 mobilenetv2_120d 36.780 63.220 54.047 45.953 5.83 224 0.875 bicubic -55.830 -44.463 -11 -12
207 tf_efficientnet_lite1 36.737 63.263 53.590 46.410 5.42 240 0.882 bicubic -55.573 -44.900 0 +1
208 regnetx_016 36.683 63.317 53.297 46.703 9.19 224 0.875 bicubic -55.857 -45.253 -7 -6
209 efficientnet_b0 36.600 63.400 53.497 46.503 5.29 224 0.875 bicubic -55.880 -45.183 -7 -6
210 skresnet18 36.320 63.680 54.197 45.803 11.96 224 0.875 bicubic -53.840 -43.583 +35 +37
211 tv_resnet50 36.177 63.823 52.803 47.197 25.56 224 0.875 bilinear -55.963 -45.617 +2 +3
212 tv_resnet34 legacy_seresnet34 36.087 36.143 63.913 63.857 53.533 52.553 46.467 47.447 21.80 21.96 224 0.875 bilinear -54.203 -55.337 -44.447 -45.647 +32 +12
213 tv_resnet34 36.087 63.913 53.533 46.467 21.80 224 0.875 bilinear -54.203 -44.447 +33
214 mobilenetv2_140 36.000 64.000 53.943 46.057 6.11 224 0.875 bicubic -56.030 -44.307 +1
215 tf_efficientnet_lite0 35.930 64.070 53.480 46.520 4.65 224 0.875 bicubic -55.370 -44.610 +14 +15
216 selecsls42b 35.813 64.187 52.487 47.513 32.46 224 0.875 bicubic -56.667 -45.953 -12
217 gluon_resnet34_v1b 35.763 64.237 52.187 47.813 21.80 224 0.875 bicubic -55.337 -45.993 +21 +22
218 dla34 35.643 64.357 52.783 47.217 15.74 224 0.875 bilinear -55.597 -45.397 +14 +15
219 mixnet_m 35.640 64.360 52.430 47.570 5.01 224 0.875 bicubic -56.630 -45.920 -9
220 efficientnet_lite0 35.620 64.380 53.657 46.343 4.65 224 0.875 bicubic -55.640 -44.593 +11 +12
221 ssl_resnet18 35.597 64.403 53.740 46.260 11.69 224 0.875 bilinear -55.103 -44.280 +21 +22
222 tf_efficientnet_es 35.563 64.437 52.790 47.210 5.44 224 0.875 bicubic -56.987 -45.720 -21
223 mobilenetv3_rw 35.547 64.453 53.713 46.287 5.48 224 0.875 bicubic -56.003 -44.557 0
224 mobilenetv2_110d 35.293 64.707 52.830 47.170 4.52 224 0.875 bicubic -56.057 -45.360 +4 +5
225 tf_mixnet_m 35.180 64.820 50.987 49.013 5.01 224 0.875 bicubic -57.020 -47.433 -12
226 hrnet_w18_small_v2 35.173 64.827 52.440 47.560 15.60 224 0.875 bilinear -55.997 -45.900 +10 +11
227 ese_vovnet19b_dw resnet18d 34.840 35.127 65.160 64.873 52.030 52.890 47.970 47.110 6.54 11.71 224 0.875 bicubic -57.170 -54.863 -46.480 -44.940 -11 +21
228 regnety_008 ese_vovnet19b_dw 34.807 34.840 65.193 65.160 51.743 52.030 48.257 47.970 6.26 6.54 224 0.875 bicubic -57.093 -57.170 -46.677 -46.480 -10 -12
229 regnety_008 34.807 65.193 51.743 48.257 6.26 224 0.875 bicubic -57.093 -46.677 -11
230 mobilenetv3_large_100 34.603 65.397 52.860 47.140 5.48 224 0.875 bicubic -56.877 -45.460 -5
231 seresnext26d_32x4d 34.543 65.457 51.543 48.457 16.81 224 0.875 bicubic -57.897 -46.997 -25 -26
232 seresnext26tn_32x4d 34.540 65.460 51.377 48.623 16.81 224 0.875 bicubic -58.280 -47.183 -40 -45
233 resnet26d 34.273 65.727 51.687 48.313 16.01 224 0.875 bicubic -57.957 -46.763 -20 -21
234 fbnetc_100 34.253 65.747 51.180 48.820 5.57 224 0.875 bilinear -57.017 -46.650 -3
235 seresnext26t_32x4d 34.210 65.790 51.460 48.540 16.82 224 0.875 bicubic -58.750 -47.020 -54 -59
236 regnety_006 34.150 65.850 51.277 48.723 6.06 224 0.875 bicubic -57.420 -47.153 -13 -14
237 tf_mobilenetv3_large_100 33.950 66.050 51.490 48.510 5.48 224 0.875 bilinear -57.470 -46.770 -10
238 regnetx_008 33.770 66.230 50.547 49.453 7.26 224 0.875 bicubic -57.410 -47.833 -2
239 mnasnet_100 33.763 66.237 51.170 48.830 4.38 224 0.875 bicubic -57.437 -46.880 -5
240 semnasnet_100 33.520 66.480 50.787 49.213 3.89 224 0.875 bicubic -58.140 -47.483 -18 -19
241 resnet26 33.500 66.500 50.927 49.073 16.00 224 0.875 bicubic -57.940 -47.353 -15
242 mixnet_s 33.480 66.520 50.997 49.003 4.13 224 0.875 bicubic -58.300 -47.303 -22 -23
243 spnasnet_100 33.477 66.523 51.267 48.733 4.42 224 0.875 bilinear -57.133 -46.683 +1
244 regnetx_006 33.157 66.843 50.250 49.750 6.20 224 0.875 bicubic -57.603 -47.850 -2
245 resnet18 33.067 66.933 51.170 48.830 11.69 224 0.875 bilinear -55.083 -45.950 +9 +11
246 legacy_seresnext26_32x4d 32.757 67.243 49.237 50.763 16.79 224 0.875 bicubic -59.813 -49.283 -47
247 hrnet_w18_small 32.667 67.333 50.587 49.413 13.19 224 0.875 bilinear -57.213 -47.313 +2
248 mobilenetv2_100 legacy_seresnet18 32.523 32.600 67.477 67.400 50.800 50.340 49.200 49.660 3.50 11.78 224 0.875 bicubic -57.307 -56.670 -47.030 -47.340 +2 +4
249 regnetx_004 mobilenetv2_100 32.517 32.523 67.483 67.477 49.343 50.800 50.657 49.200 5.16 3.50 224 0.875 bicubic -56.943 -57.307 -48.427 -47.030 +2 +1
250 regnetx_004 32.517 67.483 49.343 50.657 5.16 224 0.875 bicubic -56.943 -48.427 +1
251 gluon_resnet18_v1b 32.407 67.593 49.727 50.273 11.69 224 0.875 bicubic -56.253 -47.373 +3
252 regnety_004 32.333 67.667 49.453 50.547 4.34 224 0.875 bicubic -58.447 -48.627 -9 -11
253 tf_mixnet_s 32.183 67.817 48.493 51.507 4.13 224 0.875 bicubic -59.497 -49.747 -30 -33
254 tf_mobilenetv3_large_075 31.867 68.133 49.110 50.890 3.99 224 0.875 bilinear -58.453 -48.760 -7 -9
255 tf_mobilenetv3_large_minimal_100 31.597 68.403 49.337 50.663 3.92 224 0.875 bilinear -57.583 -47.983 -2
256 regnety_002 29.687 70.313 46.787 53.213 3.16 224 0.875 bicubic -58.513 -50.643 -1
257 regnetx_002 28.860 71.140 45.420 54.580 2.68 224 0.875 bicubic -58.520 -51.570 0

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results/results-imagenet-real.csv
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@ -5,20 +5,22 @@ tf_efficientnet_b7_ns,90.100,9.900,98.614,1.386,66.35,600,0.949,bicubic,+3.260,+
tf_efficientnet_b6_ns,89.782,10.218,98.510,1.490,43.04,528,0.942,bicubic,+3.330,+0.628,0
tf_efficientnet_b5_ns,89.651,10.349,98.482,1.518,30.39,456,0.934,bicubic,+3.563,+0.730,0
tf_efficientnet_b8_ap,89.581,10.419,98.305,1.695,87.41,672,0.954,bicubic,+4.211,+1.011,+2
tf_efficientnet_b7_ap,89.429,10.571,98.347,1.653,66.35,600,0.949,bicubic,+4.309,+1.095,+3
tf_efficientnet_b7_ap,89.429,10.571,98.347,1.653,66.35,600,0.949,bicubic,+4.309,+1.095,+4
tf_efficientnet_b8,89.355,10.645,98.303,1.697,87.41,672,0.954,bicubic,+3.985,+0.913,-1
tf_efficientnet_b6_ap,89.342,10.658,98.281,1.719,43.04,528,0.942,bicubic,+4.554,+1.143,+4
tf_efficientnet_b6_ap,89.342,10.658,98.281,1.719,43.04,528,0.942,bicubic,+4.554,+1.143,+5
tf_efficientnet_b4_ns,89.305,10.694,98.347,1.653,19.34,380,0.922,bicubic,+4.143,+0.877,-1
ig_resnext101_32x48d,89.120,10.880,98.130,1.870,828.41,224,0.875,bilinear,+3.692,+0.558,-5
ig_resnext101_32x32d,89.111,10.889,98.181,1.819,468.53,224,0.875,bilinear,+4.017,+0.743,-1
tf_efficientnet_b7,89.086,10.914,98.183,1.817,66.35,600,0.949,bicubic,+4.150,+0.979,-1
tf_efficientnet_b5_ap,88.938,11.062,98.164,1.836,30.39,456,0.934,bicubic,+4.686,+1.190,+2
ig_resnext101_32x16d,88.834,11.166,98.049,1.951,194.03,224,0.875,bilinear,+4.664,+0.853,+2
swsl_resnext101_32x8d,88.770,11.230,98.147,1.853,88.79,224,0.875,bilinear,+4.486,+0.971,-1
tf_efficientnet_b6,88.761,11.239,98.064,1.937,43.04,528,0.942,bicubic,+4.651,+1.177,+1
resnest269e,88.522,11.478,98.027,1.973,110.93,416,0.928,bicubic,+4.004,+1.041,-4
resnest200e,88.432,11.568,98.042,1.958,70.20,320,0.909,bicubic,+4.600,+1.148,+1
tf_efficientnet_b3_ns,88.426,11.574,98.029,1.971,12.23,300,0.904,bicubic,+4.378,+1.119,-1
ig_resnext101_32x32d,89.111,10.889,98.181,1.819,468.53,224,0.875,bilinear,+4.017,+0.743,0
tf_efficientnet_b7,89.086,10.914,98.183,1.817,66.35,600,0.949,bicubic,+4.150,+0.979,0
tf_efficientnet_b5_ap,88.938,11.062,98.164,1.836,30.39,456,0.934,bicubic,+4.686,+1.190,+3
ig_resnext101_32x16d,88.834,11.166,98.049,1.951,194.03,224,0.875,bilinear,+4.664,+0.853,+4
swsl_resnext101_32x8d,88.770,11.230,98.147,1.853,88.79,224,0.875,bilinear,+4.486,+0.971,0
tf_efficientnet_b6,88.761,11.239,98.064,1.937,43.04,528,0.942,bicubic,+4.651,+1.177,+3
resnest269e,88.522,11.478,98.027,1.973,110.93,416,0.928,bicubic,+4.004,+1.041,-3
resnest200e,88.432,11.568,98.042,1.958,70.20,320,0.909,bicubic,+4.600,+1.148,+3
tf_efficientnet_b3_ns,88.426,11.574,98.029,1.971,12.23,300,0.904,bicubic,+4.378,+1.119,+1
vit_large_patch16_384,88.407,11.593,98.187,1.813,304.72,384,1.000,bicubic,+3.249,+0.831,-11
vit_base_patch16_384,88.389,11.611,98.155,1.845,86.86,384,1.000,bicubic,+4.180,+0.937,-4
tf_efficientnet_b4_ap,88.349,11.651,97.893,2.107,19.34,380,0.922,bicubic,+5.101,+1.501,+2
tf_efficientnet_b5,88.321,11.679,97.912,2.088,30.39,456,0.934,bicubic,+4.509,+1.164,-1
ig_resnext101_32x8d,88.146,11.854,97.856,2.144,88.79,224,0.875,bilinear,+5.458,+1.220,+6
@ -27,130 +29,142 @@ tf_efficientnet_b4,87.963,12.037,97.739,2.261,19.34,380,0.922,bicubic,+4.941,+1.
tresnet_xl_448,87.796,12.204,97.459,2.541,78.44,448,0.875,bilinear,+4.746,+1.285,-1
pnasnet5large,87.636,12.364,97.485,2.515,86.06,331,0.911,bicubic,+4.854,+1.445,+1
swsl_resnext101_32x16d,87.615,12.386,97.820,2.180,194.03,224,0.875,bilinear,+4.269,+0.974,-6
swsl_resnext50_32x4d,87.600,12.400,97.651,2.349,25.03,224,0.875,bilinear,+5.418,+1.421,+4
swsl_resnext50_32x4d,87.600,12.400,97.651,2.349,25.03,224,0.875,bilinear,+5.418,+1.421,+5
tf_efficientnet_b2_ns,87.557,12.443,97.628,2.372,9.11,260,0.890,bicubic,+5.177,+1.380,+1
tresnet_l_448,87.377,12.623,97.485,2.515,55.99,448,0.875,bilinear,+5.110,+1.509,+1
nasnetalarge,87.350,12.650,97.417,2.583,88.75,331,0.911,bicubic,+4.730,+1.371,-2
ecaresnet101d,87.288,12.712,97.562,2.438,44.57,224,0.875,bicubic,+5.116,+1.516,+1
resnest101e,87.284,12.716,97.560,2.440,48.28,256,0.875,bilinear,+4.394,+1.240,-7
tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.463,0
tf_efficientnet_b3_ap,87.192,12.808,97.380,2.620,12.23,300,0.904,bicubic,+5.370,+1.756,+2
efficientnet_b3a,86.993,13.007,97.397,2.603,12.23,320,1.000,bicubic,+5.127,+1.561,-1
ssl_resnext101_32x16d,86.856,13.143,97.517,2.483,194.03,224,0.875,bilinear,+5.013,+1.421,-1
efficientnet_b3a,87.435,12.565,97.681,2.319,12.23,320,1.000,bicubic,+5.193,+1.567,+2
tresnet_l_448,87.377,12.623,97.485,2.515,55.99,448,0.875,bilinear,+5.110,+1.509,0
nasnetalarge,87.350,12.650,97.417,2.583,88.75,331,0.911,bicubic,+4.730,+1.371,-3
efficientnet_b3,87.313,12.687,97.602,2.398,12.23,300,0.904,bicubic,+5.237,+1.582,+2
ecaresnet101d,87.288,12.712,97.562,2.438,44.57,224,0.875,bicubic,+5.116,+1.516,0
resnest101e,87.284,12.716,97.560,2.440,48.28,256,0.875,bilinear,+4.394,+1.240,-9
regnety_032,87.258,12.742,97.525,2.474,19.44,224,0.875,bicubic,+5.256,+1.619,+1
tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.463,-1
tf_efficientnet_b3_ap,87.192,12.808,97.380,2.620,12.23,300,0.904,bicubic,+5.370,+1.756,+1
vit_base_patch32_384,87.019,12.981,97.654,2.346,88.30,384,1.000,bicubic,+5.367,+1.526,+2
ssl_resnext101_32x16d,86.856,13.143,97.517,2.483,194.03,224,0.875,bilinear,+5.013,+1.421,-2
rexnet_200,86.846,13.154,97.276,2.724,16.37,224,0.875,bicubic,+5.214,+1.608,+2
tf_efficientnet_b3,86.835,13.165,97.297,2.703,12.23,300,0.904,bicubic,+5.199,+1.579,0
tresnet_m_448,86.820,13.180,97.212,2.788,31.39,448,0.875,bilinear,+5.106,+1.640,-2
tresnet_m_448,86.820,13.180,97.212,2.788,31.39,448,0.875,bilinear,+5.106,+1.640,-3
ssl_resnext101_32x8d,86.807,13.193,97.466,2.534,88.79,224,0.875,bilinear,+5.191,+1.428,0
swsl_resnet50,86.807,13.193,97.498,2.502,25.56,224,0.875,bilinear,+5.641,+1.526,+5
swsl_resnet50,86.807,13.193,97.498,2.502,25.56,224,0.875,bilinear,+5.641,+1.526,+8
tf_efficientnet_lite4,86.803,13.197,97.263,2.737,13.01,380,0.920,bilinear,+5.267,+1.595,-1
efficientnet_b3,86.782,13.218,97.288,2.712,12.23,300,0.904,bicubic,+5.288,+1.572,-1
tresnet_l,86.767,13.233,97.271,2.729,55.99,224,0.875,bilinear,+5.279,+1.647,-1
tf_efficientnet_b1_ns,86.669,13.331,97.378,2.622,7.79,240,0.882,bicubic,+5.281,+1.640,-1
resnest50d_4s2x40d,86.592,13.408,97.269,2.731,30.42,224,0.875,bicubic,+5.484,+1.711,+1
efficientnet_b3_pruned,86.581,13.419,97.190,2.810,9.86,300,0.904,bicubic,+5.723,+1.948,+7
ssl_resnext101_32x4d,86.479,13.521,97.468,2.532,44.18,224,0.875,bilinear,+5.555,+1.740,+3
ecaresnet50d,86.470,13.530,97.186,2.814,25.58,224,0.875,bicubic,+5.878,+1.866,+11
gluon_resnet152_v1s,86.468,13.532,97.109,2.891,60.32,224,0.875,bicubic,+5.452,+1.697,-2
resnest50d_1s4x24d,86.447,13.553,97.148,2.852,25.68,224,0.875,bicubic,+5.459,+1.826,-2
efficientnet_b2a,86.304,13.696,96.990,3.010,9.11,288,1.000,bicubic,+5.692,+1.672,+6
gluon_senet154,86.278,13.722,96.949,3.051,115.09,224,0.875,bicubic,+5.044,+1.601,-8
resnest50d,86.240,13.761,97.073,2.927,27.48,224,0.875,bilinear,+5.266,+1.695,-4
ecaresnet101d_pruned,86.210,13.790,97.335,2.665,24.88,224,0.875,bicubic,+5.392,+1.707,0
tresnet_m,86.199,13.801,96.667,3.333,31.39,224,0.875,bilinear,+5.397,+1.807,+1
cspdarknet53,86.182,13.818,97.013,2.987,27.64,256,0.887,bilinear,+6.124,+1.929,+24
inception_v4,86.169,13.831,96.919,3.081,42.68,299,0.875,bicubic,+6.001,+1.951,+19
rexnet_150,86.154,13.846,97.058,2.942,9.73,224,0.875,bicubic,+5.844,+1.892,+12
tf_efficientnet_el,86.148,13.852,96.987,3.013,10.59,300,0.904,bicubic,+5.708,+1.823,+5
inception_resnet_v2,86.133,13.867,97.043,2.957,55.84,299,0.897,bicubic,+5.675,+1.737,+3
ssl_resnext50_32x4d,86.086,13.914,97.212,2.788,25.03,224,0.875,bilinear,+5.768,+1.806,+8
efficientnet_b2,86.056,13.944,96.917,3.083,9.11,260,0.875,bicubic,+5.664,+1.841,+4
gluon_resnet101_v1s,86.054,13.946,97.022,2.978,44.67,224,0.875,bicubic,+5.752,+1.862,+8
ecaresnetlight,86.052,13.948,97.069,2.931,30.16,224,0.875,bicubic,+5.590,+1.819,-2
gluon_seresnext101_32x4d,86.032,13.968,96.977,3.023,48.96,224,0.875,bicubic,+5.128,+1.683,-14
tf_efficientnet_b2_ap,85.975,14.025,96.810,3.190,9.11,260,0.890,bicubic,+5.675,+1.782,+6
tresnet_l,86.767,13.233,97.271,2.729,55.99,224,0.875,bilinear,+5.277,+1.647,0
seresnext50_32x4d,86.699,13.301,97.214,2.786,27.56,224,0.875,bicubic,+5.433,+1.594,+3
tf_efficientnet_b1_ns,86.669,13.331,97.378,2.622,7.79,240,0.882,bicubic,+5.281,+1.640,0
wide_resnet50_2,86.647,13.353,97.214,2.786,68.88,224,0.875,bicubic,+5.191,+1.682,-2
resnest50d_4s2x40d,86.592,13.408,97.269,2.731,30.42,224,0.875,bicubic,+5.484,+1.711,+3
efficientnet_b3_pruned,86.581,13.419,97.190,2.810,9.86,300,0.904,bicubic,+5.723,+1.948,+9
ssl_resnext101_32x4d,86.479,13.521,97.468,2.532,44.18,224,0.875,bilinear,+5.555,+1.740,+5
ecaresnet50d,86.470,13.530,97.186,2.814,25.58,224,0.875,bicubic,+5.878,+1.866,+13
gluon_resnet152_v1s,86.468,13.532,97.109,2.891,60.32,224,0.875,bicubic,+5.452,+1.697,0
resnest50d_1s4x24d,86.447,13.553,97.148,2.852,25.68,224,0.875,bicubic,+5.459,+1.826,0
legacy_senet154,86.342,13.658,96.928,3.072,115.09,224,0.875,bilinear,+5.032,+1.432,-7
efficientnet_b2a,86.304,13.696,96.990,3.010,9.11,288,1.000,bicubic,+5.692,+1.672,+7
gluon_senet154,86.278,13.722,96.949,3.051,115.09,224,0.875,bicubic,+5.044,+1.601,-7
resnest50d,86.240,13.761,97.073,2.927,27.48,224,0.875,bilinear,+5.266,+1.695,-3
ecaresnet101d_pruned,86.210,13.790,97.335,2.665,24.88,224,0.875,bicubic,+5.392,+1.707,+1
tresnet_m,86.199,13.801,96.667,3.333,31.39,224,0.875,bilinear,+5.397,+1.807,+2
cspdarknet53,86.182,13.818,97.013,2.987,27.64,256,0.887,bilinear,+6.124,+1.929,+27
inception_v4,86.169,13.831,96.919,3.081,42.68,299,0.875,bicubic,+6.001,+1.951,+22
rexnet_150,86.154,13.846,97.058,2.942,9.73,224,0.875,bicubic,+5.844,+1.892,+14
tf_efficientnet_el,86.148,13.852,96.987,3.013,10.59,300,0.904,bicubic,+5.708,+1.823,+7
inception_resnet_v2,86.133,13.867,97.043,2.957,55.84,299,0.897,bicubic,+5.675,+1.737,+5
ssl_resnext50_32x4d,86.086,13.914,97.212,2.788,25.03,224,0.875,bilinear,+5.768,+1.806,+10
efficientnet_b2,86.056,13.944,96.917,3.083,9.11,260,0.875,bicubic,+5.664,+1.841,+6
gluon_resnet101_v1s,86.054,13.946,97.022,2.978,44.67,224,0.875,bicubic,+5.752,+1.862,+10
ecaresnetlight,86.052,13.948,97.069,2.931,30.16,224,0.875,bicubic,+5.590,+1.821,0
gluon_seresnext101_32x4d,86.032,13.968,96.977,3.023,48.96,224,0.875,bicubic,+5.128,+1.683,-13
resnet50d,86.009,13.991,96.979,3.021,25.58,224,0.875,bicubic,+5.479,+1.819,-5
tf_efficientnet_b2_ap,85.975,14.025,96.810,3.190,9.11,260,0.890,bicubic,+5.675,+1.782,+7
gluon_seresnext101_64x4d,85.960,14.040,96.979,3.021,88.23,224,0.875,bicubic,+5.066,+1.671,-15
gluon_resnet152_v1d,85.917,14.083,96.812,3.188,60.21,224,0.875,bicubic,+5.443,+1.606,-7
tf_efficientnet_b2,85.902,14.098,96.862,3.139,9.11,260,0.890,bicubic,+5.816,+1.954,+10
gluon_resnet152_v1d,85.917,14.083,96.812,3.188,60.21,224,0.875,bicubic,+5.443,+1.606,-6
vit_large_patch32_384,85.909,14.091,97.368,2.632,306.63,384,1.000,bicubic,+4.403,+1.275,-31
tf_efficientnet_b2,85.902,14.098,96.862,3.139,9.11,260,0.890,bicubic,+5.816,+1.954,+11
seresnet50,85.857,14.143,97.004,2.995,28.09,224,0.875,bicubic,+5.583,+1.934,+4
gluon_resnet101_v1d,85.849,14.151,96.663,3.337,44.57,224,0.875,bicubic,+5.435,+1.649,-6
resnet50,85.804,14.196,96.712,3.288,25.56,224,0.875,bicubic,+6.766,+2.322,+50
resnet50,85.804,14.196,96.712,3.288,25.56,224,0.875,bicubic,+6.766,+2.322,+55
mixnet_xl,85.798,14.202,96.712,3.288,11.90,224,0.875,bicubic,+5.322,+1.776,-13
ens_adv_inception_resnet_v2,85.781,14.220,96.759,3.241,55.84,299,0.897,bicubic,+5.799,+1.823,+9
tf_efficientnet_lite3,85.755,14.245,96.887,3.113,8.20,300,0.904,bilinear,+5.935,+1.973,+16
ese_vovnet39b,85.751,14.249,96.891,3.109,24.57,224,0.875,bicubic,+6.431,+2.179,+30
ens_adv_inception_resnet_v2,85.781,14.220,96.759,3.241,55.84,299,0.897,bicubic,+5.799,+1.823,+10
tf_efficientnet_lite3,85.755,14.245,96.887,3.113,8.20,300,0.904,bilinear,+5.935,+1.973,+17
ese_vovnet39b,85.751,14.249,96.891,3.109,24.57,224,0.875,bicubic,+6.431,+2.179,+33
gluon_resnext101_32x4d,85.746,14.254,96.635,3.365,44.18,224,0.875,bicubic,+5.412,+1.709,-9
legacy_seresnext101_32x4d,85.746,14.254,96.757,3.243,48.96,224,0.875,bilinear,+5.518,+1.739,-2
cspresnext50,85.740,14.260,96.840,3.160,20.57,224,0.875,bilinear,+5.700,+1.896,+3
regnety_320,85.727,14.273,96.725,3.275,145.05,224,0.875,bicubic,+4.915,+1.481,-24
xception71,85.697,14.303,96.776,3.224,42.34,299,0.903,bicubic,+5.823,+1.854,+8
gluon_resnext101_64x4d,85.693,14.307,96.644,3.356,83.46,224,0.875,bicubic,+5.089,+1.656,-23
efficientnet_b2_pruned,85.642,14.358,96.746,3.254,8.31,260,0.890,bicubic,+5.726,+1.890,+3
dpn107,85.640,14.360,96.729,3.271,86.92,224,0.875,bicubic,+5.484,+1.819,-6
ecaresnet50d_pruned,85.580,14.420,96.936,3.064,19.94,224,0.875,bicubic,+5.864,+2.056,+10
gluon_resnet152_v1c,85.580,14.420,96.646,3.354,60.21,224,0.875,bicubic,+5.670,+1.806,+1
resnext50d_32x4d,85.569,14.431,96.748,3.252,25.05,224,0.875,bicubic,+5.893,+1.882,+11
regnety_120,85.543,14.457,96.785,3.215,51.82,224,0.875,bicubic,+5.177,+1.659,-20
regnetx_320,85.524,14.476,96.669,3.331,107.81,224,0.875,bicubic,+5.278,+1.643,-13
regnety_160,85.501,14.499,96.620,3.380,83.59,224,0.875,bicubic,+5.205,+1.658,-16
dpn92,85.494,14.506,96.635,3.365,37.67,224,0.875,bicubic,+5.486,+1.799,-8
gluon_resnet152_v1b,85.475,14.525,96.550,3.450,60.19,224,0.875,bicubic,+5.789,+1.814,+5
rexnet_130,85.473,14.527,96.684,3.316,7.56,224,0.875,bicubic,+5.973,+2.002,+10
dpn131,85.398,14.602,96.639,3.361,79.25,224,0.875,bicubic,+5.576,+1.929,-3
regnetx_160,85.390,14.610,96.637,3.363,54.28,224,0.875,bicubic,+5.534,+1.807,-5
dla102x2,85.366,14.634,96.629,3.371,41.28,224,0.875,bilinear,+5.918,+1.989,+9
gluon_seresnext50_32x4d,85.336,14.664,96.667,3.333,27.56,224,0.875,bicubic,+5.418,+1.845,-12
xception65,85.315,14.685,96.637,3.363,39.92,299,0.903,bicubic,+5.763,+1.983,+3
skresnext50_32x4d,85.313,14.687,96.390,3.610,27.48,224,0.875,bicubic,+5.157,+1.748,-20
dpn98,85.311,14.689,96.469,3.531,61.57,224,0.875,bicubic,+5.669,+1.871,-1
gluon_resnet101_v1c,85.304,14.696,96.405,3.595,44.57,224,0.875,bicubic,+5.770,+1.827,+1
dpn68b,85.291,14.709,96.464,3.536,12.61,224,0.875,bicubic,+6.075,+2.050,+14
regnety_320,85.727,14.273,96.725,3.275,145.05,224,0.875,bicubic,+4.915,+1.481,-26
cspresnet50,85.721,14.279,96.795,3.205,21.62,256,0.887,bilinear,+6.147,+2.083,+20
xception71,85.697,14.303,96.776,3.224,42.34,299,0.903,bicubic,+5.823,+1.854,+7
gluon_resnext101_64x4d,85.693,14.307,96.644,3.356,83.46,224,0.875,bicubic,+5.089,+1.656,-26
efficientnet_em,85.684,14.316,96.938,3.062,6.90,240,0.882,bicubic,+6.432,+2.144,+32
efficientnet_b2_pruned,85.642,14.358,96.746,3.254,8.31,260,0.890,bicubic,+5.726,+1.890,+1
dpn107,85.640,14.360,96.729,3.271,86.92,224,0.875,bicubic,+5.484,+1.819,-8
gluon_resnet152_v1c,85.580,14.420,96.646,3.354,60.21,224,0.875,bicubic,+5.670,+1.806,-1
ecaresnet50d_pruned,85.580,14.420,96.936,3.064,19.94,224,0.875,bicubic,+5.864,+2.056,+8
resnext50d_32x4d,85.569,14.431,96.748,3.252,25.05,224,0.875,bicubic,+5.893,+1.882,+9
regnety_120,85.543,14.457,96.785,3.215,51.82,224,0.875,bicubic,+5.177,+1.659,-23
regnetx_320,85.524,14.476,96.669,3.331,107.81,224,0.875,bicubic,+5.278,+1.643,-16
regnety_160,85.501,14.499,96.620,3.380,83.59,224,0.875,bicubic,+5.205,+1.658,-19
dpn92,85.494,14.506,96.635,3.365,37.67,224,0.875,bicubic,+5.486,+1.799,-10
gluon_resnet152_v1b,85.475,14.525,96.550,3.450,60.19,224,0.875,bicubic,+5.789,+1.814,+3
rexnet_130,85.473,14.527,96.684,3.316,7.56,224,0.875,bicubic,+5.973,+2.002,+9
dpn131,85.398,14.602,96.639,3.361,79.25,224,0.875,bicubic,+5.576,+1.929,-5
regnetx_160,85.390,14.610,96.637,3.363,54.28,224,0.875,bicubic,+5.534,+1.807,-7
dla102x2,85.366,14.634,96.629,3.371,41.28,224,0.875,bilinear,+5.918,+1.989,+8
gluon_seresnext50_32x4d,85.336,14.664,96.667,3.333,27.56,224,0.875,bicubic,+5.418,+1.845,-14
xception65,85.315,14.685,96.637,3.363,39.92,299,0.903,bicubic,+5.763,+1.983,+2
skresnext50_32x4d,85.313,14.687,96.390,3.610,27.48,224,0.875,bicubic,+5.157,+1.748,-22
dpn98,85.311,14.689,96.469,3.531,61.57,224,0.875,bicubic,+5.669,+1.871,-3
gluon_resnet101_v1c,85.304,14.696,96.405,3.595,44.57,224,0.875,bicubic,+5.770,+1.827,0
dpn68b,85.291,14.709,96.464,3.536,12.61,224,0.875,bicubic,+6.075,+2.050,+15
regnety_064,85.283,14.717,96.639,3.361,30.58,224,0.875,bicubic,+5.561,+1.871,-11
resnetblur50,85.283,14.717,96.531,3.470,25.56,224,0.875,bicubic,+5.997,+1.893,+8
regnety_064,85.283,14.717,96.639,3.361,30.58,224,0.875,bicubic,+5.561,+1.871,-9
regnety_080,85.245,14.755,96.633,3.367,39.18,224,0.875,bicubic,+5.369,+1.803,-17
resnext50_32x4d,85.221,14.779,96.526,3.474,25.03,224,0.875,bicubic,+5.453,+1.928,-13
regnety_080,85.245,14.755,96.633,3.367,39.18,224,0.875,bicubic,+5.369,+1.803,-19
resnext50_32x4d,85.221,14.779,96.526,3.474,25.03,224,0.875,bicubic,+5.453,+1.928,-15
resnext101_32x8d,85.187,14.813,96.445,3.555,88.79,224,0.875,bilinear,+5.879,+1.927,+1
gluon_inception_v3,85.183,14.817,96.526,3.474,23.83,299,0.875,bicubic,+6.377,+2.156,+22
gluon_inception_v3,85.183,14.817,96.526,3.474,23.83,299,0.875,bicubic,+6.377,+2.156,+23
hrnet_w48,85.151,14.849,96.492,3.508,77.47,224,0.875,bilinear,+5.851,+1.980,+2
gluon_xception65,85.148,14.851,96.597,3.403,39.92,299,0.903,bicubic,+5.432,+1.737,-14
gluon_xception65,85.148,14.851,96.597,3.403,39.92,299,0.903,bicubic,+5.432,+1.737,-16
gluon_resnet101_v1b,85.142,14.858,96.366,3.634,44.55,224,0.875,bicubic,+5.836,+1.842,-1
regnetx_120,85.131,14.869,96.477,3.523,46.11,224,0.875,bicubic,+5.535,+1.739,-12
xception,85.129,14.871,96.471,3.529,22.86,299,0.897,bicubic,+6.077,+2.079,+9
regnetx_120,85.131,14.869,96.477,3.523,46.11,224,0.875,bicubic,+5.535,+1.739,-14
xception,85.129,14.871,96.471,3.529,22.86,299,0.897,bicubic,+6.077,+2.079,+11
tf_efficientnet_b1_ap,85.127,14.873,96.405,3.595,7.79,240,0.882,bicubic,+5.847,+2.099,-1
hrnet_w64,85.119,14.881,96.744,3.256,128.06,224,0.875,bilinear,+5.645,+2.092,-11
ssl_resnet50,85.097,14.903,96.866,3.134,25.56,224,0.875,bilinear,+5.875,+2.034,-2
res2net101_26w_4s,85.093,14.907,96.381,3.619,45.21,224,0.875,bilinear,+5.895,+1.949,+1
hrnet_w64,85.119,14.881,96.744,3.256,128.06,224,0.875,bilinear,+5.645,+2.092,-12
ssl_resnet50,85.097,14.903,96.866,3.134,25.56,224,0.875,bilinear,+5.875,+2.034,-1
res2net101_26w_4s,85.093,14.907,96.381,3.619,45.21,224,0.875,bilinear,+5.895,+2.013,+1
tf_efficientnet_cc_b1_8e,85.063,14.937,96.422,3.578,39.72,240,0.882,bicubic,+5.755,+2.052,-9
res2net50_26w_8s,85.029,14.971,96.419,3.580,48.40,224,0.875,bilinear,+5.831,+2.052,-2
resnest26d,85.008,14.992,96.637,3.363,17.07,224,0.875,bilinear,+6.530,+2.339,+21
gluon_resnext50_32x4d,84.995,15.005,96.426,3.574,25.03,224,0.875,bicubic,+5.641,+2.000,-15
tf_efficientnet_b0_ns,84.984,15.016,96.503,3.497,5.29,224,0.875,bicubic,+6.326,+2.127,+14
res2net50_26w_8s,85.029,14.971,96.419,3.580,48.40,224,0.875,bilinear,+5.831,+1.987,0
vit_base_patch16_224,85.027,14.973,96.511,3.489,86.54,224,0.900,bicubic,+5.679,+1.999,-14
resnest26d,85.008,14.992,96.637,3.363,17.07,224,0.875,bilinear,+6.530,+2.339,+22
gluon_resnext50_32x4d,84.995,15.005,96.426,3.574,25.03,224,0.875,bicubic,+5.641,+2.000,-17
tf_efficientnet_b0_ns,84.984,15.016,96.503,3.497,5.29,224,0.875,bicubic,+6.326,+2.127,+15
regnety_040,84.948,15.052,96.612,3.388,20.65,224,0.875,bicubic,+5.728,+1.956,-8
tf_efficientnet_em,84.926,15.074,96.424,3.576,6.90,240,0.882,bicubic,+6.218,+2.110,+9
dla169,84.920,15.080,96.535,3.465,53.39,224,0.875,bilinear,+6.232,+2.199,+10
tf_efficientnet_b1,84.918,15.082,96.364,3.636,7.79,240,0.882,bicubic,+6.092,+2.166,+3
legacy_seresnext50_32x4d,84.901,15.099,96.434,3.566,27.56,224,0.875,bilinear,+5.823,+1.998,-7
hrnet_w44,84.884,15.116,96.434,3.566,67.06,224,0.875,bilinear,+5.988,+2.066,-1
gluon_resnet50_v1s,84.862,15.138,96.443,3.557,25.68,224,0.875,bicubic,+6.150,+2.205,+4
regnetx_080,84.862,15.138,96.434,3.566,39.57,224,0.875,bicubic,+5.668,+1.874,-10
gluon_resnet50_v1s,84.860,15.140,96.443,3.557,25.68,224,0.875,bicubic,+6.150,+2.205,+2
gluon_resnet50_v1d,84.832,15.168,96.398,3.602,25.58,224,0.875,bicubic,+5.758,+1.928,-10
dla60_res2next,84.830,15.170,96.411,3.589,17.03,224,0.875,bilinear,+6.390,+2.259,+14
dla60_res2next,84.830,15.170,96.411,3.589,17.03,224,0.875,bilinear,+6.390,+2.259,+13
mixnet_l,84.822,15.178,96.328,3.672,7.33,224,0.875,bicubic,+5.846,+2.146,-8
resnet152,84.815,15.185,96.225,3.775,60.19,224,0.875,bilinear,+6.503,+2.187,+14
tv_resnet152,84.815,15.185,96.225,3.775,60.19,224,0.875,bilinear,+6.503,+2.187,+14
dla60_res2net,84.813,15.187,96.481,3.519,20.85,224,0.875,bilinear,+6.349,+2.275,+8
dla102x,84.813,15.187,96.552,3.448,26.31,224,0.875,bilinear,+6.303,+2.324,+4
dla60_res2net,84.813,15.187,96.481,3.519,20.85,224,0.875,bilinear,+6.349,+2.275,+9
xception41,84.792,15.208,96.413,3.587,26.97,299,0.903,bicubic,+6.276,+2.135,+2
regnetx_064,84.781,15.219,96.490,3.510,26.21,224,0.875,bicubic,+5.709,+2.032,-16
hrnet_w40,84.743,15.257,96.554,3.446,57.56,224,0.875,bilinear,+5.823,+2.084,-13
res2net50_26w_6s,84.726,15.274,96.281,3.719,37.05,224,0.875,bilinear,+6.156,+2.157,-2
selecsls60b,84.657,15.343,96.300,3.700,32.77,224,0.875,bicubic,+6.245,+2.126,+6
hrnet_w32,84.651,15.349,96.407,3.593,41.23,224,0.875,bilinear,+6.201,+2.221,+3
regnety_032,84.606,15.394,96.424,3.576,19.44,224,0.875,bicubic,+5.720,+2.012,-15
legacy_seresnet152,84.704,15.296,96.417,3.583,66.82,224,0.875,bilinear,+6.044,+2.047,-5
selecsls60b,84.657,15.343,96.300,3.700,32.77,224,0.875,bicubic,+6.245,+2.126,+4
hrnet_w32,84.651,15.349,96.407,3.593,41.23,224,0.875,bilinear,+6.201,+2.221,+1
regnetx_040,84.600,15.400,96.383,3.617,22.12,224,0.875,bicubic,+6.118,+2.139,-3
efficientnet_es,84.591,15.409,96.311,3.689,5.44,224,0.875,bicubic,+6.525,+2.385,+10
hrnet_w30,84.572,15.428,96.388,3.612,37.71,224,0.875,bilinear,+6.366,+2.165,+6
tf_mixnet_l,84.564,15.437,96.244,3.756,7.33,224,0.875,bicubic,+5.790,+2.246,-15
wide_resnet101_2,84.557,15.443,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-19
efficientnet_b1,84.531,15.469,96.153,3.847,7.79,240,0.875,bicubic,+5.833,+2.009,-14
tf_mixnet_l,84.564,15.437,96.244,3.756,7.33,224,0.875,bicubic,+5.790,+2.246,-16
wide_resnet101_2,84.557,15.443,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-20
efficientnet_b1,84.531,15.469,96.153,3.847,7.79,240,0.875,bicubic,+5.833,+2.009,-15
dla60x,84.523,15.477,96.285,3.715,17.35,224,0.875,bilinear,+6.277,+2.267,-1
wide_resnet50_2,84.427,15.573,96.257,3.743,68.88,224,0.875,bilinear,+5.949,+2.163,-8
legacy_seresnet101,84.504,15.496,96.330,3.670,49.33,224,0.875,bilinear,+6.122,+2.066,-4
efficientnet_b1_pruned,84.393,15.607,96.140,3.860,6.33,240,0.882,bicubic,+6.157,+2.306,-1
res2net50_26w_4s,84.365,15.635,96.082,3.918,25.70,224,0.875,bilinear,+6.401,+2.228,+8
res2net50_14w_8s,84.309,15.691,96.072,3.929,25.06,224,0.875,bilinear,+6.159,+2.224,0
@ -159,34 +173,38 @@ regnetx_032,84.237,15.763,96.247,3.753,15.30,224,0.875,bicubic,+6.065,+2.159,-3
res2next50,84.226,15.774,95.997,4.003,24.67,224,0.875,bilinear,+5.980,+2.105,-7
gluon_resnet50_v1c,84.207,15.793,96.161,3.839,25.58,224,0.875,bicubic,+6.195,+2.173,-1
dla102,84.190,15.810,96.206,3.794,33.27,224,0.875,bilinear,+6.158,+2.260,-3
rexnet_100,84.162,15.838,96.255,3.745,4.80,224,0.875,bicubic,+6.304,+2.385,+4
tf_inception_v3,84.136,15.864,95.918,4.082,23.83,299,0.875,bicubic,+6.278,+2.280,+4
res2net50_48w_2s,84.126,15.874,95.965,4.035,25.29,224,0.875,bilinear,+6.604,+2.411,+9
tf_efficientnet_lite2,84.094,15.906,96.069,3.931,6.09,260,0.890,bicubic,+6.626,+2.315,+9
rexnet_100,84.162,15.838,96.255,3.745,4.80,224,0.875,bicubic,+6.304,+2.385,+5
tf_inception_v3,84.141,15.859,95.920,4.080,23.83,299,0.875,bicubic,+6.279,+2.280,+3
res2net50_48w_2s,84.126,15.874,95.965,4.035,25.29,224,0.875,bilinear,+6.604,+2.411,+11
resnet34d,84.098,15.902,95.978,4.022,21.82,224,0.875,bicubic,+6.982,+2.596,+21
tf_efficientnet_lite2,84.094,15.906,96.069,3.931,6.09,260,0.890,bicubic,+6.626,+2.315,+10
efficientnet_b0,84.038,15.962,95.956,4.044,5.29,224,0.875,bicubic,+6.340,+2.424,+2
seresnext26t_32x4d,84.004,15.996,95.852,4.148,16.82,224,0.875,bicubic,+6.006,+2.144,-7
tf_efficientnet_cc_b0_8e,83.966,16.034,96.065,3.935,24.01,224,0.875,bicubic,+6.058,+2.411,-4
tv_resnext50_32x4d,83.959,16.041,95.960,4.040,25.03,224,0.875,bilinear,+6.339,+2.264,0
regnety_016,83.955,16.045,96.005,3.995,11.20,224,0.875,bicubic,+6.093,+2.285,-5
gluon_resnet50_v1b,83.940,16.060,96.012,3.988,25.56,224,0.875,bicubic,+6.360,+2.296,+1
densenet161,83.906,16.094,96.010,3.990,28.68,224,0.875,bicubic,+6.548,+2.372,+5
adv_inception_v3,83.902,16.098,95.935,4.065,23.83,299,0.875,bicubic,+6.320,+2.199,-2
mobilenetv2_120d,83.893,16.107,95.909,4.091,5.83,224,0.875,bicubic,+6.609,+2.417,+6
seresnext26tn_32x4d,83.878,16.122,95.931,4.069,16.81,224,0.875,bicubic,+5.892,+2.185,-14
resnet101,83.848,16.152,95.892,4.108,44.55,224,0.875,bilinear,+6.474,+2.352,0
inception_v3,83.761,16.239,95.879,4.121,23.83,299,0.875,bicubic,+6.321,+2.403,-2
seresnext26d_32x4d,83.754,16.246,95.849,4.151,16.81,224,0.875,bicubic,+6.152,+2.241,-8
dla60,83.729,16.271,95.933,4.067,22.04,224,0.875,bilinear,+6.697,+2.615,+6
tf_efficientnet_b0_ap,83.650,16.350,95.779,4.221,5.29,224,0.875,bicubic,+6.564,+2.523,+4
tf_efficientnet_es,83.647,16.352,95.939,4.061,5.44,224,0.875,bicubic,+6.389,+2.345,+1
skresnet34,83.641,16.359,95.933,4.067,22.28,224,0.875,bicubic,+6.729,+2.611,+6
tf_efficientnet_cc_b0_4e,83.639,16.361,95.740,4.260,13.31,224,0.875,bicubic,+6.333,+2.406,-5
densenet201,83.556,16.444,95.811,4.189,20.01,224,0.875,bicubic,+6.270,+2.333,-5
mixnet_m,83.515,16.485,95.689,4.311,5.01,224,0.875,bicubic,+6.255,+2.265,-4
seresnext26t_32x4d,84.004,15.996,95.852,4.148,16.82,224,0.875,bicubic,+6.006,+2.144,-8
tf_efficientnet_cc_b0_8e,83.966,16.034,96.065,3.935,24.01,224,0.875,bicubic,+6.058,+2.411,-5
tv_resnext50_32x4d,83.959,16.041,95.960,4.040,25.03,224,0.875,bilinear,+6.339,+2.264,+1
regnety_016,83.955,16.045,96.005,3.995,11.20,224,0.875,bicubic,+6.093,+2.285,-6
gluon_resnet50_v1b,83.940,16.060,96.012,3.988,25.56,224,0.875,bicubic,+6.360,+2.296,+2
densenet161,83.906,16.094,96.010,3.990,28.68,224,0.875,bicubic,+6.548,+2.372,+6
adv_inception_v3,83.902,16.098,95.935,4.065,23.83,299,0.875,bicubic,+6.320,+2.199,-1
mobilenetv2_120d,83.893,16.107,95.909,4.091,5.83,224,0.875,bicubic,+6.609,+2.417,+7
seresnext26tn_32x4d,83.878,16.122,95.931,4.069,16.81,224,0.875,bicubic,+5.892,+2.185,-15
tv_resnet101,83.848,16.152,95.892,4.108,44.55,224,0.875,bilinear,+6.474,+2.352,+1
inception_v3,83.761,16.239,95.879,4.121,23.83,299,0.875,bicubic,+6.323,+2.403,-1
seresnext26d_32x4d,83.754,16.246,95.849,4.151,16.81,224,0.875,bicubic,+6.152,+2.241,-7
vit_small_patch16_224,83.735,16.265,95.758,4.242,48.75,224,0.900,bicubic,+5.877,+2.342,-12
dla60,83.729,16.271,95.933,4.067,22.04,224,0.875,bilinear,+6.697,+2.615,+8
legacy_seresnet50,83.662,16.337,95.973,4.027,28.09,224,0.875,bilinear,+6.032,+2.225,-12
tf_efficientnet_b0_ap,83.650,16.350,95.779,4.221,5.29,224,0.875,bicubic,+6.564,+2.523,+5
tf_efficientnet_es,83.647,16.352,95.939,4.061,5.44,224,0.875,bicubic,+6.389,+2.345,0
skresnet34,83.641,16.359,95.933,4.067,22.28,224,0.875,bicubic,+6.729,+2.611,+7
tf_efficientnet_cc_b0_4e,83.639,16.361,95.740,4.260,13.31,224,0.875,bicubic,+6.333,+2.406,-6
densenet201,83.556,16.444,95.811,4.189,20.01,224,0.875,bicubic,+6.270,+2.333,-6
legacy_seresnext26_32x4d,83.517,16.483,95.719,4.281,16.79,224,0.875,bicubic,+6.413,+2.403,-1
mixnet_m,83.515,16.485,95.689,4.311,5.01,224,0.875,bicubic,+6.255,+2.265,-6
tf_efficientnet_b0,83.515,16.485,95.719,4.281,5.29,224,0.875,bicubic,+6.667,+2.491,+3
hrnet_w18,83.500,16.500,95.907,4.093,21.30,224,0.875,bilinear,+6.742,+2.463,+4
densenetblur121d,83.472,16.527,95.822,4.178,8.00,224,0.875,bicubic,+6.884,+2.630,+6
selecsls42b,83.457,16.543,95.745,4.255,32.46,224,0.875,bicubic,+6.284,+2.355,-6
selecsls42b,83.457,16.543,95.745,4.255,32.46,224,0.875,bicubic,+6.284,+2.355,-8
tf_efficientnet_lite1,83.344,16.656,95.642,4.358,5.42,240,0.882,bicubic,+6.702,+2.416,+3
regnetx_016,83.195,16.805,95.740,4.260,9.19,224,0.875,bicubic,+6.245,+2.320,-5
mobilenetv2_140,83.182,16.818,95.689,4.311,6.11,224,0.875,bicubic,+6.666,+2.693,+3
@ -200,23 +218,24 @@ densenet169,82.683,17.317,95.600,4.400,14.15,224,0.875,bicubic,+6.776,+2.574,+1
mixnet_s,82.525,17.476,95.356,4.644,4.13,224,0.875,bicubic,+6.532,+2.560,-1
regnety_008,82.493,17.508,95.487,4.513,6.26,224,0.875,bicubic,+6.177,+2.421,-4
efficientnet_lite0,82.382,17.619,95.279,4.721,4.65,224,0.875,bicubic,+6.898,+2.769,+5
resnest14d,82.352,17.648,95.339,4.661,10.61,224,0.875,bilinear,+6.846,+2.821,+3
resnest14d,82.349,17.651,95.339,4.661,10.61,224,0.875,bilinear,+6.845,+2.821,+3
mobilenetv3_rw,82.275,17.725,95.234,4.766,5.48,224,0.875,bicubic,+6.641,+2.526,-1
semnasnet_100,82.251,17.749,95.230,4.770,3.89,224,0.875,bicubic,+6.803,+2.626,+3
mobilenetv3_large_100,82.177,17.823,95.196,4.804,5.48,224,0.875,bicubic,+6.410,+2.654,-5
resnet34,82.138,17.862,95.130,4.870,21.80,224,0.875,bilinear,+7.028,+2.846,+6
mobilenetv2_110d,82.070,17.930,95.076,4.923,4.52,224,0.875,bicubic,+7.034,+2.890,+7
tf_mixnet_s,82.038,17.962,95.121,4.879,4.13,224,0.875,bicubic,+6.388,+2.493,-7
tf_mixnet_s,82.038,17.962,95.121,4.879,4.13,224,0.875,bicubic,+6.388,+2.491,-7
hrnet_w18_small_v2,81.961,18.039,95.164,4.836,15.60,224,0.875,bilinear,+6.847,+2.748,+2
tf_efficientnet_lite0,81.952,18.048,95.168,4.832,4.65,224,0.875,bicubic,+7.122,+2.992,+5
resnet26,81.944,18.056,95.241,4.759,16.00,224,0.875,bicubic,+6.652,+2.671,-3
tf_mobilenetv3_large_100,81.848,18.152,95.070,4.930,5.48,224,0.875,bilinear,+6.330,+2.464,-8
tv_densenet121,81.726,18.274,95.034,4.966,7.98,224,0.875,bicubic,+6.988,+2.884,+3
tv_densenet121,81.726,18.274,95.034,4.966,7.98,224,0.875,bicubic,+6.988,+2.884,+4
regnety_006,81.700,18.300,95.115,4.885,6.06,224,0.875,bicubic,+6.454,+2.583,-5
dla34,81.658,18.342,94.878,5.122,15.74,224,0.875,bilinear,+7.028,+2.800,+3
dla34,81.658,18.342,94.878,5.122,15.74,224,0.875,bilinear,+7.028,+2.800,+4
fbnetc_100,81.559,18.441,94.970,5.030,5.57,224,0.875,bilinear,+6.436,+2.584,-6
legacy_seresnet34,81.534,18.466,94.899,5.101,21.96,224,0.875,bilinear,+6.726,+2.775,-1
gluon_resnet34_v1b,81.500,18.500,94.810,5.190,21.80,224,0.875,bicubic,+6.912,+2.820,+2
regnetx_008,81.485,18.515,95.059,4.941,7.26,224,0.875,bicubic,+6.447,+2.724,-5
regnetx_008,81.485,18.515,95.059,4.941,7.26,224,0.875,bicubic,+6.447,+2.724,-6
mnasnet_100,81.459,18.541,94.899,5.101,4.38,224,0.875,bicubic,+6.801,+2.785,-2
spnasnet_100,80.878,19.122,94.526,5.474,4.42,224,0.875,bilinear,+6.794,+2.708,0
regnety_004,80.659,19.341,94.686,5.314,4.34,224,0.875,bicubic,+6.625,+2.934,0
@ -224,12 +243,14 @@ skresnet18,80.637,19.363,94.378,5.622,11.96,224,0.875,bicubic,+7.599,+3.210,+4
regnetx_006,80.629,19.371,94.524,5.476,6.20,224,0.875,bicubic,+6.777,+2.852,-1
swsl_resnet18,80.575,19.425,94.743,5.256,11.69,224,0.875,bilinear,+7.299,+3.010,+1
tv_resnet34,80.389,19.611,94.436,5.564,21.80,224,0.875,bilinear,+7.077,+3.010,-1
mobilenetv2_100,80.257,19.743,94.195,5.805,3.50,224,0.875,bicubic,+7.287,+3.179,+1
ssl_resnet18,80.101,19.899,94.590,5.410,11.69,224,0.875,bilinear,+7.491,+3.174,+1
tf_mobilenetv3_large_075,80.093,19.907,94.184,5.816,3.99,224,0.875,bilinear,+6.655,+2.834,-5
hrnet_w18_small,79.557,20.443,93.898,6.102,13.19,224,0.875,bilinear,+7.215,+3.220,+1
regnetx_004,79.435,20.565,93.853,6.147,5.16,224,0.875,bicubic,+7.039,+3.023,-1
resnet18d,80.387,19.613,94.252,5.748,11.71,224,0.875,bicubic,+8.127,+3.556,+5
mobilenetv2_100,80.257,19.743,94.195,5.805,3.50,224,0.875,bicubic,+7.287,+3.179,0
ssl_resnet18,80.101,19.899,94.590,5.410,11.69,224,0.875,bilinear,+7.491,+3.174,0
tf_mobilenetv3_large_075,80.093,19.907,94.184,5.816,3.99,224,0.875,bilinear,+6.655,+2.834,-6
hrnet_w18_small,79.555,20.445,93.898,6.102,13.19,224,0.875,bilinear,+7.213,+3.220,0
regnetx_004,79.435,20.565,93.853,6.147,5.16,224,0.875,bicubic,+7.039,+3.023,-2
tf_mobilenetv3_large_minimal_100,79.222,20.778,93.706,6.294,3.92,224,0.875,bilinear,+6.974,+3.076,0
legacy_seresnet18,79.153,20.847,93.783,6.217,11.78,224,0.875,bicubic,+7.411,+3.449,0
gluon_resnet18_v1b,78.372,21.628,93.138,6.862,11.69,224,0.875,bicubic,+7.536,+3.376,0
regnety_002,77.405,22.595,92.914,7.086,3.16,224,0.875,bicubic,+7.153,+3.374,0
resnet18,77.276,22.724,92.756,7.244,11.69,224,0.875,bilinear,+7.528,+3.678,0
@ -238,5 +259,5 @@ dla60x_c,75.637,24.363,92.177,7.823,1.32,224,0.875,bilinear,+7.745,+3.751,+1
tf_mobilenetv3_small_100,74.717,25.283,91.257,8.743,2.54,224,0.875,bilinear,+6.795,+3.593,-1
dla46x_c,73.647,26.353,91.095,8.905,1.07,224,0.875,bilinear,+7.677,+4.115,0
tf_mobilenetv3_small_075,72.812,27.188,90.036,9.964,2.04,224,0.875,bilinear,+7.096,+3.906,0
dla46_c,72.601,27.399,90.499,9.501,1.30,224,0.875,bilinear,+7.735,+4.207,0
dla46_c,72.603,27.397,90.499,9.501,1.30,224,0.875,bilinear,+7.737,+4.207,0
tf_mobilenetv3_small_minimal_100,70.111,29.889,88.505,11.495,2.04,224,0.875,bilinear,+7.205,+4.275,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
5 tf_efficientnet_b6_ns 89.782 10.218 98.510 1.490 43.04 528 0.942 bicubic +3.330 +0.628 0
6 tf_efficientnet_b5_ns 89.651 10.349 98.482 1.518 30.39 456 0.934 bicubic +3.563 +0.730 0
7 tf_efficientnet_b8_ap 89.581 10.419 98.305 1.695 87.41 672 0.954 bicubic +4.211 +1.011 +2
8 tf_efficientnet_b7_ap 89.429 10.571 98.347 1.653 66.35 600 0.949 bicubic +4.309 +1.095 +3 +4
9 tf_efficientnet_b8 89.355 10.645 98.303 1.697 87.41 672 0.954 bicubic +3.985 +0.913 -1
10 tf_efficientnet_b6_ap 89.342 10.658 98.281 1.719 43.04 528 0.942 bicubic +4.554 +1.143 +4 +5
11 tf_efficientnet_b4_ns 89.305 10.694 98.347 1.653 19.34 380 0.922 bicubic +4.143 +0.877 -1
12 ig_resnext101_32x48d 89.120 10.880 98.130 1.870 828.41 224 0.875 bilinear +3.692 +0.558 -5
13 ig_resnext101_32x32d 89.111 10.889 98.181 1.819 468.53 224 0.875 bilinear +4.017 +0.743 -1 0
14 tf_efficientnet_b7 89.086 10.914 98.183 1.817 66.35 600 0.949 bicubic +4.150 +0.979 -1 0
15 tf_efficientnet_b5_ap 88.938 11.062 98.164 1.836 30.39 456 0.934 bicubic +4.686 +1.190 +2 +3
16 ig_resnext101_32x16d 88.834 11.166 98.049 1.951 194.03 224 0.875 bilinear +4.664 +0.853 +2 +4
17 swsl_resnext101_32x8d 88.770 11.230 98.147 1.853 88.79 224 0.875 bilinear +4.486 +0.971 -1 0
18 tf_efficientnet_b6 88.761 11.239 98.064 1.937 43.04 528 0.942 bicubic +4.651 +1.177 +1 +3
19 resnest269e 88.522 11.478 98.027 1.973 110.93 416 0.928 bicubic +4.004 +1.041 -4 -3
20 resnest200e 88.432 11.568 98.042 1.958 70.20 320 0.909 bicubic +4.600 +1.148 +1 +3
21 tf_efficientnet_b3_ns 88.426 11.574 98.029 1.971 12.23 300 0.904 bicubic +4.378 +1.119 -1 +1
22 vit_large_patch16_384 88.407 11.593 98.187 1.813 304.72 384 1.000 bicubic +3.249 +0.831 -11
23 vit_base_patch16_384 88.389 11.611 98.155 1.845 86.86 384 1.000 bicubic +4.180 +0.937 -4
24 tf_efficientnet_b4_ap 88.349 11.651 97.893 2.107 19.34 380 0.922 bicubic +5.101 +1.501 +2
25 tf_efficientnet_b5 88.321 11.679 97.912 2.088 30.39 456 0.934 bicubic +4.509 +1.164 -1
26 ig_resnext101_32x8d 88.146 11.854 97.856 2.144 88.79 224 0.875 bilinear +5.458 +1.220 +6
29 tresnet_xl_448 87.796 12.204 97.459 2.541 78.44 448 0.875 bilinear +4.746 +1.285 -1
30 pnasnet5large 87.636 12.364 97.485 2.515 86.06 331 0.911 bicubic +4.854 +1.445 +1
31 swsl_resnext101_32x16d 87.615 12.386 97.820 2.180 194.03 224 0.875 bilinear +4.269 +0.974 -6
32 swsl_resnext50_32x4d 87.600 12.400 97.651 2.349 25.03 224 0.875 bilinear +5.418 +1.421 +4 +5
33 tf_efficientnet_b2_ns 87.557 12.443 97.628 2.372 9.11 260 0.890 bicubic +5.177 +1.380 +1
34 tresnet_l_448 efficientnet_b3a 87.377 87.435 12.623 12.565 97.485 97.681 2.515 2.319 55.99 12.23 448 320 0.875 1.000 bilinear bicubic +5.110 +5.193 +1.509 +1.567 +1 +2
35 nasnetalarge tresnet_l_448 87.350 87.377 12.650 12.623 97.417 97.485 2.583 2.515 88.75 55.99 331 448 0.911 0.875 bicubic bilinear +4.730 +5.110 +1.371 +1.509 -2 0
36 ecaresnet101d nasnetalarge 87.288 87.350 12.712 12.650 97.562 97.417 2.438 2.583 44.57 88.75 224 331 0.875 0.911 bicubic +5.116 +4.730 +1.516 +1.371 +1 -3
37 resnest101e efficientnet_b3 87.284 87.313 12.716 12.687 97.560 97.602 2.440 2.398 48.28 12.23 256 300 0.875 0.904 bilinear bicubic +4.394 +5.237 +1.240 +1.582 -7 +2
38 tresnet_xl ecaresnet101d 87.224 87.288 12.776 12.712 97.400 97.562 2.600 2.438 78.44 44.57 224 0.875 bilinear bicubic +5.170 +5.116 +1.463 +1.516 0
39 tf_efficientnet_b3_ap resnest101e 87.192 87.284 12.808 12.716 97.380 97.560 2.620 2.440 12.23 48.28 300 256 0.904 0.875 bicubic bilinear +5.370 +4.394 +1.756 +1.240 +2 -9
40 efficientnet_b3a regnety_032 86.993 87.258 13.007 12.742 97.397 97.525 2.603 2.474 12.23 19.44 320 224 1.000 0.875 bicubic +5.127 +5.256 +1.561 +1.619 -1 +1
41 ssl_resnext101_32x16d tresnet_xl 86.856 87.224 13.143 12.776 97.517 97.400 2.483 2.600 194.03 78.44 224 0.875 bilinear +5.013 +5.170 +1.421 +1.463 -1
42 tf_efficientnet_b3_ap 87.192 12.808 97.380 2.620 12.23 300 0.904 bicubic +5.370 +1.756 +1
43 vit_base_patch32_384 87.019 12.981 97.654 2.346 88.30 384 1.000 bicubic +5.367 +1.526 +2
44 ssl_resnext101_32x16d 86.856 13.143 97.517 2.483 194.03 224 0.875 bilinear +5.013 +1.421 -2
45 rexnet_200 86.846 13.154 97.276 2.724 16.37 224 0.875 bicubic +5.214 +1.608 +2
46 tf_efficientnet_b3 86.835 13.165 97.297 2.703 12.23 300 0.904 bicubic +5.199 +1.579 0
47 tresnet_m_448 86.820 13.180 97.212 2.788 31.39 448 0.875 bilinear +5.106 +1.640 -2 -3
48 ssl_resnext101_32x8d 86.807 13.193 97.466 2.534 88.79 224 0.875 bilinear +5.191 +1.428 0
49 swsl_resnet50 86.807 13.193 97.498 2.502 25.56 224 0.875 bilinear +5.641 +1.526 +5 +8
50 tf_efficientnet_lite4 86.803 13.197 97.263 2.737 13.01 380 0.920 bilinear +5.267 +1.595 -1
51 efficientnet_b3 tresnet_l 86.782 86.767 13.218 13.233 97.288 97.271 2.712 2.729 12.23 55.99 300 224 0.904 0.875 bicubic bilinear +5.288 +5.277 +1.572 +1.647 -1 0
52 tresnet_l seresnext50_32x4d 86.767 86.699 13.233 13.301 97.271 97.214 2.729 2.786 55.99 27.56 224 0.875 bilinear bicubic +5.279 +5.433 +1.647 +1.594 -1 +3
53 tf_efficientnet_b1_ns 86.669 13.331 97.378 2.622 7.79 240 0.882 bicubic +5.281 +1.640 -1 0
54 resnest50d_4s2x40d wide_resnet50_2 86.592 86.647 13.408 13.353 97.269 97.214 2.731 2.786 30.42 68.88 224 0.875 bicubic +5.484 +5.191 +1.711 +1.682 +1 -2
55 efficientnet_b3_pruned resnest50d_4s2x40d 86.581 86.592 13.419 13.408 97.190 97.269 2.810 2.731 9.86 30.42 300 224 0.904 0.875 bicubic +5.723 +5.484 +1.948 +1.711 +7 +3
56 ssl_resnext101_32x4d efficientnet_b3_pruned 86.479 86.581 13.521 13.419 97.468 97.190 2.532 2.810 44.18 9.86 224 300 0.875 0.904 bilinear bicubic +5.555 +5.723 +1.740 +1.948 +3 +9
57 ecaresnet50d ssl_resnext101_32x4d 86.470 86.479 13.530 13.521 97.186 97.468 2.814 2.532 25.58 44.18 224 0.875 bicubic bilinear +5.878 +5.555 +1.866 +1.740 +11 +5
58 gluon_resnet152_v1s ecaresnet50d 86.468 86.470 13.532 13.530 97.109 97.186 2.891 2.814 60.32 25.58 224 0.875 bicubic +5.452 +5.878 +1.697 +1.866 -2 +13
59 resnest50d_1s4x24d gluon_resnet152_v1s 86.447 86.468 13.553 13.532 97.148 97.109 2.852 2.891 25.68 60.32 224 0.875 bicubic +5.459 +5.452 +1.826 +1.697 -2 0
60 efficientnet_b2a resnest50d_1s4x24d 86.304 86.447 13.696 13.553 96.990 97.148 3.010 2.852 9.11 25.68 288 224 1.000 0.875 bicubic +5.692 +5.459 +1.672 +1.826 +6 0
61 gluon_senet154 legacy_senet154 86.278 86.342 13.722 13.658 96.949 96.928 3.051 3.072 115.09 224 0.875 bicubic bilinear +5.044 +5.032 +1.601 +1.432 -8 -7
62 resnest50d efficientnet_b2a 86.240 86.304 13.761 13.696 97.073 96.990 2.927 3.010 27.48 9.11 224 288 0.875 1.000 bilinear bicubic +5.266 +5.692 +1.695 +1.672 -4 +7
63 ecaresnet101d_pruned gluon_senet154 86.210 86.278 13.790 13.722 97.335 96.949 2.665 3.051 24.88 115.09 224 0.875 bicubic +5.392 +5.044 +1.707 +1.601 0 -7
64 tresnet_m resnest50d 86.199 86.240 13.801 13.761 96.667 97.073 3.333 2.927 31.39 27.48 224 0.875 bilinear +5.397 +5.266 +1.807 +1.695 +1 -3
65 cspdarknet53 ecaresnet101d_pruned 86.182 86.210 13.818 13.790 97.013 97.335 2.987 2.665 27.64 24.88 256 224 0.887 0.875 bilinear bicubic +6.124 +5.392 +1.929 +1.707 +24 +1
66 inception_v4 tresnet_m 86.169 86.199 13.831 13.801 96.919 96.667 3.081 3.333 42.68 31.39 299 224 0.875 bicubic bilinear +6.001 +5.397 +1.951 +1.807 +19 +2
67 rexnet_150 cspdarknet53 86.154 86.182 13.846 13.818 97.058 97.013 2.942 2.987 9.73 27.64 224 256 0.875 0.887 bicubic bilinear +5.844 +6.124 +1.892 +1.929 +12 +27
68 tf_efficientnet_el inception_v4 86.148 86.169 13.852 13.831 96.987 96.919 3.013 3.081 10.59 42.68 300 299 0.904 0.875 bicubic +5.708 +6.001 +1.823 +1.951 +5 +22
69 inception_resnet_v2 rexnet_150 86.133 86.154 13.867 13.846 97.043 97.058 2.957 2.942 55.84 9.73 299 224 0.897 0.875 bicubic +5.675 +5.844 +1.737 +1.892 +3 +14
70 ssl_resnext50_32x4d tf_efficientnet_el 86.086 86.148 13.914 13.852 97.212 96.987 2.788 3.013 25.03 10.59 224 300 0.875 0.904 bilinear bicubic +5.768 +5.708 +1.806 +1.823 +8 +7
71 efficientnet_b2 inception_resnet_v2 86.056 86.133 13.944 13.867 96.917 97.043 3.083 2.957 9.11 55.84 260 299 0.875 0.897 bicubic +5.664 +5.675 +1.841 +1.737 +4 +5
72 gluon_resnet101_v1s ssl_resnext50_32x4d 86.054 86.086 13.946 13.914 97.022 97.212 2.978 2.788 44.67 25.03 224 0.875 bicubic bilinear +5.752 +5.768 +1.862 +1.806 +8 +10
73 ecaresnetlight efficientnet_b2 86.052 86.056 13.948 13.944 97.069 96.917 2.931 3.083 30.16 9.11 224 260 0.875 bicubic +5.590 +5.664 +1.819 +1.841 -2 +6
74 gluon_seresnext101_32x4d gluon_resnet101_v1s 86.032 86.054 13.968 13.946 96.977 97.022 3.023 2.978 48.96 44.67 224 0.875 bicubic +5.128 +5.752 +1.683 +1.862 -14 +10
75 tf_efficientnet_b2_ap ecaresnetlight 85.975 86.052 14.025 13.948 96.810 97.069 3.190 2.931 9.11 30.16 260 224 0.890 0.875 bicubic +5.675 +5.590 +1.782 +1.821 +6 0
76 gluon_seresnext101_32x4d 86.032 13.968 96.977 3.023 48.96 224 0.875 bicubic +5.128 +1.683 -13
77 resnet50d 86.009 13.991 96.979 3.021 25.58 224 0.875 bicubic +5.479 +1.819 -5
78 tf_efficientnet_b2_ap 85.975 14.025 96.810 3.190 9.11 260 0.890 bicubic +5.675 +1.782 +7
79 gluon_seresnext101_64x4d 85.960 14.040 96.979 3.021 88.23 224 0.875 bicubic +5.066 +1.671 -15
80 gluon_resnet152_v1d 85.917 14.083 96.812 3.188 60.21 224 0.875 bicubic +5.443 +1.606 -7 -6
81 tf_efficientnet_b2 vit_large_patch32_384 85.902 85.909 14.098 14.091 96.862 97.368 3.139 2.632 9.11 306.63 260 384 0.890 1.000 bicubic +5.816 +4.403 +1.954 +1.275 +10 -31
82 tf_efficientnet_b2 85.902 14.098 96.862 3.139 9.11 260 0.890 bicubic +5.816 +1.954 +11
83 seresnet50 85.857 14.143 97.004 2.995 28.09 224 0.875 bicubic +5.583 +1.934 +4
84 gluon_resnet101_v1d 85.849 14.151 96.663 3.337 44.57 224 0.875 bicubic +5.435 +1.649 -6
85 resnet50 85.804 14.196 96.712 3.288 25.56 224 0.875 bicubic +6.766 +2.322 +50 +55
86 mixnet_xl 85.798 14.202 96.712 3.288 11.90 224 0.875 bicubic +5.322 +1.776 -13
87 ens_adv_inception_resnet_v2 85.781 14.220 96.759 3.241 55.84 299 0.897 bicubic +5.799 +1.823 +9 +10
88 tf_efficientnet_lite3 85.755 14.245 96.887 3.113 8.20 300 0.904 bilinear +5.935 +1.973 +16 +17
89 ese_vovnet39b 85.751 14.249 96.891 3.109 24.57 224 0.875 bicubic +6.431 +2.179 +30 +33
90 gluon_resnext101_32x4d 85.746 14.254 96.635 3.365 44.18 224 0.875 bicubic +5.412 +1.709 -9
91 legacy_seresnext101_32x4d 85.746 14.254 96.757 3.243 48.96 224 0.875 bilinear +5.518 +1.739 -2
92 cspresnext50 85.740 14.260 96.840 3.160 20.57 224 0.875 bilinear +5.700 +1.896 +3
93 regnety_320 85.727 14.273 96.725 3.275 145.05 224 0.875 bicubic +4.915 +1.481 -24 -26
94 xception71 cspresnet50 85.697 85.721 14.303 14.279 96.776 96.795 3.224 3.205 42.34 21.62 299 256 0.903 0.887 bicubic bilinear +5.823 +6.147 +1.854 +2.083 +8 +20
95 gluon_resnext101_64x4d xception71 85.693 85.697 14.307 14.303 96.644 96.776 3.356 3.224 83.46 42.34 224 299 0.875 0.903 bicubic +5.089 +5.823 +1.656 +1.854 -23 +7
96 efficientnet_b2_pruned gluon_resnext101_64x4d 85.642 85.693 14.358 14.307 96.746 96.644 3.254 3.356 8.31 83.46 260 224 0.890 0.875 bicubic +5.726 +5.089 +1.890 +1.656 +3 -26
97 dpn107 efficientnet_em 85.640 85.684 14.360 14.316 96.729 96.938 3.271 3.062 86.92 6.90 224 240 0.875 0.882 bicubic +5.484 +6.432 +1.819 +2.144 -6 +32
98 ecaresnet50d_pruned efficientnet_b2_pruned 85.580 85.642 14.420 14.358 96.936 96.746 3.064 3.254 19.94 8.31 224 260 0.875 0.890 bicubic +5.864 +5.726 +2.056 +1.890 +10 +1
99 gluon_resnet152_v1c dpn107 85.580 85.640 14.420 14.360 96.646 96.729 3.354 3.271 60.21 86.92 224 0.875 bicubic +5.670 +5.484 +1.806 +1.819 +1 -8
100 resnext50d_32x4d gluon_resnet152_v1c 85.569 85.580 14.431 14.420 96.748 96.646 3.252 3.354 25.05 60.21 224 0.875 bicubic +5.893 +5.670 +1.882 +1.806 +11 -1
101 regnety_120 ecaresnet50d_pruned 85.543 85.580 14.457 14.420 96.785 96.936 3.215 3.064 51.82 19.94 224 0.875 bicubic +5.177 +5.864 +1.659 +2.056 -20 +8
102 regnetx_320 resnext50d_32x4d 85.524 85.569 14.476 14.431 96.669 96.748 3.331 3.252 107.81 25.05 224 0.875 bicubic +5.278 +5.893 +1.643 +1.882 -13 +9
103 regnety_160 regnety_120 85.501 85.543 14.499 14.457 96.620 96.785 3.380 3.215 83.59 51.82 224 0.875 bicubic +5.205 +5.177 +1.658 +1.659 -16 -23
104 dpn92 regnetx_320 85.494 85.524 14.506 14.476 96.635 96.669 3.365 3.331 37.67 107.81 224 0.875 bicubic +5.486 +5.278 +1.799 +1.643 -8 -16
105 gluon_resnet152_v1b regnety_160 85.475 85.501 14.525 14.499 96.550 96.620 3.450 3.380 60.19 83.59 224 0.875 bicubic +5.789 +5.205 +1.814 +1.658 +5 -19
106 rexnet_130 dpn92 85.473 85.494 14.527 14.506 96.684 96.635 3.316 3.365 7.56 37.67 224 0.875 bicubic +5.973 +5.486 +2.002 +1.799 +10 -10
107 dpn131 gluon_resnet152_v1b 85.398 85.475 14.602 14.525 96.639 96.550 3.361 3.450 79.25 60.19 224 0.875 bicubic +5.576 +5.789 +1.929 +1.814 -3 +3
108 regnetx_160 rexnet_130 85.390 85.473 14.610 14.527 96.637 96.684 3.363 3.316 54.28 7.56 224 0.875 bicubic +5.534 +5.973 +1.807 +2.002 -5 +9
109 dla102x2 dpn131 85.366 85.398 14.634 14.602 96.629 96.639 3.371 3.361 41.28 79.25 224 0.875 bilinear bicubic +5.918 +5.576 +1.989 +1.929 +9 -5
110 gluon_seresnext50_32x4d regnetx_160 85.336 85.390 14.664 14.610 96.667 96.637 3.333 3.363 27.56 54.28 224 0.875 bicubic +5.418 +5.534 +1.845 +1.807 -12 -7
111 xception65 dla102x2 85.315 85.366 14.685 14.634 96.637 96.629 3.363 3.371 39.92 41.28 299 224 0.903 0.875 bicubic bilinear +5.763 +5.918 +1.983 +1.989 +3 +8
112 skresnext50_32x4d gluon_seresnext50_32x4d 85.313 85.336 14.687 14.664 96.390 96.667 3.610 3.333 27.48 27.56 224 0.875 bicubic +5.157 +5.418 +1.748 +1.845 -20 -14
113 dpn98 xception65 85.311 85.315 14.689 14.685 96.469 96.637 3.531 3.363 61.57 39.92 224 299 0.875 0.903 bicubic +5.669 +5.763 +1.871 +1.983 -1 +2
114 gluon_resnet101_v1c skresnext50_32x4d 85.304 85.313 14.696 14.687 96.405 96.390 3.595 3.610 44.57 27.48 224 0.875 bicubic +5.770 +5.157 +1.827 +1.748 +1 -22
115 dpn68b dpn98 85.291 85.311 14.709 14.689 96.464 96.469 3.536 3.531 12.61 61.57 224 0.875 bicubic +6.075 +5.669 +2.050 +1.871 +14 -3
116 gluon_resnet101_v1c 85.304 14.696 96.405 3.595 44.57 224 0.875 bicubic +5.770 +1.827 0
117 dpn68b 85.291 14.709 96.464 3.536 12.61 224 0.875 bicubic +6.075 +2.050 +15
118 regnety_064 85.283 14.717 96.639 3.361 30.58 224 0.875 bicubic +5.561 +1.871 -11
119 resnetblur50 85.283 14.717 96.531 3.470 25.56 224 0.875 bicubic +5.997 +1.893 +8
120 regnety_064 regnety_080 85.283 85.245 14.717 14.755 96.639 96.633 3.361 3.367 30.58 39.18 224 0.875 bicubic +5.561 +5.369 +1.871 +1.803 -9 -19
121 regnety_080 resnext50_32x4d 85.245 85.221 14.755 14.779 96.633 96.526 3.367 3.474 39.18 25.03 224 0.875 bicubic +5.369 +5.453 +1.803 +1.928 -17 -15
resnext50_32x4d 85.221 14.779 96.526 3.474 25.03 224 0.875 bicubic +5.453 +1.928 -13
122 resnext101_32x8d 85.187 14.813 96.445 3.555 88.79 224 0.875 bilinear +5.879 +1.927 +1
123 gluon_inception_v3 85.183 14.817 96.526 3.474 23.83 299 0.875 bicubic +6.377 +2.156 +22 +23
124 hrnet_w48 85.151 14.849 96.492 3.508 77.47 224 0.875 bilinear +5.851 +1.980 +2
125 gluon_xception65 85.148 14.851 96.597 3.403 39.92 299 0.903 bicubic +5.432 +1.737 -14 -16
126 gluon_resnet101_v1b 85.142 14.858 96.366 3.634 44.55 224 0.875 bicubic +5.836 +1.842 -1
127 regnetx_120 85.131 14.869 96.477 3.523 46.11 224 0.875 bicubic +5.535 +1.739 -12 -14
128 xception 85.129 14.871 96.471 3.529 22.86 299 0.897 bicubic +6.077 +2.079 +9 +11
129 tf_efficientnet_b1_ap 85.127 14.873 96.405 3.595 7.79 240 0.882 bicubic +5.847 +2.099 -1
130 hrnet_w64 85.119 14.881 96.744 3.256 128.06 224 0.875 bilinear +5.645 +2.092 -11 -12
131 ssl_resnet50 85.097 14.903 96.866 3.134 25.56 224 0.875 bilinear +5.875 +2.034 -2 -1
132 res2net101_26w_4s 85.093 14.907 96.381 3.619 45.21 224 0.875 bilinear +5.895 +1.949 +2.013 +1
133 tf_efficientnet_cc_b1_8e 85.063 14.937 96.422 3.578 39.72 240 0.882 bicubic +5.755 +2.052 -9
134 res2net50_26w_8s 85.029 14.971 96.419 3.580 48.40 224 0.875 bilinear +5.831 +2.052 +1.987 -2 0
135 resnest26d vit_base_patch16_224 85.008 85.027 14.992 14.973 96.637 96.511 3.363 3.489 17.07 86.54 224 0.875 0.900 bilinear bicubic +6.530 +5.679 +2.339 +1.999 +21 -14
136 gluon_resnext50_32x4d resnest26d 84.995 85.008 15.005 14.992 96.426 96.637 3.574 3.363 25.03 17.07 224 0.875 bicubic bilinear +5.641 +6.530 +2.000 +2.339 -15 +22
137 tf_efficientnet_b0_ns gluon_resnext50_32x4d 84.984 84.995 15.016 15.005 96.503 96.426 3.497 3.574 5.29 25.03 224 0.875 bicubic +6.326 +5.641 +2.127 +2.000 +14 -17
138 tf_efficientnet_b0_ns 84.984 15.016 96.503 3.497 5.29 224 0.875 bicubic +6.326 +2.127 +15
139 regnety_040 84.948 15.052 96.612 3.388 20.65 224 0.875 bicubic +5.728 +1.956 -8
140 tf_efficientnet_em 84.926 15.074 96.424 3.576 6.90 240 0.882 bicubic +6.218 +2.110 +9
141 dla169 84.920 15.080 96.535 3.465 53.39 224 0.875 bilinear +6.232 +2.199 +10
142 tf_efficientnet_b1 84.918 15.082 96.364 3.636 7.79 240 0.882 bicubic +6.092 +2.166 +3
143 legacy_seresnext50_32x4d 84.901 15.099 96.434 3.566 27.56 224 0.875 bilinear +5.823 +1.998 -7
144 hrnet_w44 84.884 15.116 96.434 3.566 67.06 224 0.875 bilinear +5.988 +2.066 -1
gluon_resnet50_v1s 84.862 15.138 96.443 3.557 25.68 224 0.875 bicubic +6.150 +2.205 +4
145 regnetx_080 84.862 15.138 96.434 3.566 39.57 224 0.875 bicubic +5.668 +1.874 -10
146 gluon_resnet50_v1s 84.860 15.140 96.443 3.557 25.68 224 0.875 bicubic +6.150 +2.205 +2
147 gluon_resnet50_v1d 84.832 15.168 96.398 3.602 25.58 224 0.875 bicubic +5.758 +1.928 -10
148 dla60_res2next 84.830 15.170 96.411 3.589 17.03 224 0.875 bilinear +6.390 +2.259 +14 +13
149 mixnet_l 84.822 15.178 96.328 3.672 7.33 224 0.875 bicubic +5.846 +2.146 -8
150 resnet152 tv_resnet152 84.815 15.185 96.225 3.775 60.19 224 0.875 bilinear +6.503 +2.187 +14
151 dla60_res2net 84.813 15.187 96.481 3.519 20.85 224 0.875 bilinear +6.349 +2.275 +8
152 dla102x 84.813 15.187 96.552 3.448 26.31 224 0.875 bilinear +6.303 +2.324 +4
dla60_res2net 84.813 15.187 96.481 3.519 20.85 224 0.875 bilinear +6.349 +2.275 +9
153 xception41 84.792 15.208 96.413 3.587 26.97 299 0.903 bicubic +6.276 +2.135 +2
154 regnetx_064 84.781 15.219 96.490 3.510 26.21 224 0.875 bicubic +5.709 +2.032 -16
155 hrnet_w40 84.743 15.257 96.554 3.446 57.56 224 0.875 bilinear +5.823 +2.084 -13
156 res2net50_26w_6s 84.726 15.274 96.281 3.719 37.05 224 0.875 bilinear +6.156 +2.157 -2
157 selecsls60b legacy_seresnet152 84.657 84.704 15.343 15.296 96.300 96.417 3.700 3.583 32.77 66.82 224 0.875 bicubic bilinear +6.245 +6.044 +2.126 +2.047 +6 -5
158 hrnet_w32 selecsls60b 84.651 84.657 15.349 15.343 96.407 96.300 3.593 3.700 41.23 32.77 224 0.875 bilinear bicubic +6.201 +6.245 +2.221 +2.126 +3 +4
159 regnety_032 hrnet_w32 84.606 84.651 15.394 15.349 96.424 96.407 3.576 3.593 19.44 41.23 224 0.875 bicubic bilinear +5.720 +6.201 +2.012 +2.221 -15 +1
160 regnetx_040 84.600 15.400 96.383 3.617 22.12 224 0.875 bicubic +6.118 +2.139 -3
161 efficientnet_es 84.591 15.409 96.311 3.689 5.44 224 0.875 bicubic +6.525 +2.385 +10
162 hrnet_w30 84.572 15.428 96.388 3.612 37.71 224 0.875 bilinear +6.366 +2.165 +6
163 tf_mixnet_l 84.564 15.437 96.244 3.756 7.33 224 0.875 bicubic +5.790 +2.246 -15 -16
164 wide_resnet101_2 84.557 15.443 96.349 3.651 126.89 224 0.875 bilinear +5.701 +2.067 -19 -20
165 efficientnet_b1 84.531 15.469 96.153 3.847 7.79 240 0.875 bicubic +5.833 +2.009 -14 -15
166 dla60x 84.523 15.477 96.285 3.715 17.35 224 0.875 bilinear +6.277 +2.267 -1
167 wide_resnet50_2 legacy_seresnet101 84.427 84.504 15.573 15.496 96.257 96.330 3.743 3.670 68.88 49.33 224 0.875 bilinear +5.949 +6.122 +2.163 +2.066 -8 -4
168 efficientnet_b1_pruned 84.393 15.607 96.140 3.860 6.33 240 0.882 bicubic +6.157 +2.306 -1
169 res2net50_26w_4s 84.365 15.635 96.082 3.918 25.70 224 0.875 bilinear +6.401 +2.228 +8
170 res2net50_14w_8s 84.309 15.691 96.072 3.929 25.06 224 0.875 bilinear +6.159 +2.224 0
173 res2next50 84.226 15.774 95.997 4.003 24.67 224 0.875 bilinear +5.980 +2.105 -7
174 gluon_resnet50_v1c 84.207 15.793 96.161 3.839 25.58 224 0.875 bicubic +6.195 +2.173 -1
175 dla102 84.190 15.810 96.206 3.794 33.27 224 0.875 bilinear +6.158 +2.260 -3
176 rexnet_100 84.162 15.838 96.255 3.745 4.80 224 0.875 bicubic +6.304 +2.385 +4 +5
177 tf_inception_v3 84.136 84.141 15.864 15.859 95.918 95.920 4.082 4.080 23.83 299 0.875 bicubic +6.278 +6.279 +2.280 +4 +3
178 res2net50_48w_2s 84.126 15.874 95.965 4.035 25.29 224 0.875 bilinear +6.604 +2.411 +9 +11
179 tf_efficientnet_lite2 resnet34d 84.094 84.098 15.906 15.902 96.069 95.978 3.931 4.022 6.09 21.82 260 224 0.890 0.875 bicubic +6.626 +6.982 +2.315 +2.596 +9 +21
180 tf_efficientnet_lite2 84.094 15.906 96.069 3.931 6.09 260 0.890 bicubic +6.626 +2.315 +10
181 efficientnet_b0 84.038 15.962 95.956 4.044 5.29 224 0.875 bicubic +6.340 +2.424 +2
182 seresnext26t_32x4d 84.004 15.996 95.852 4.148 16.82 224 0.875 bicubic +6.006 +2.144 -7 -8
183 tf_efficientnet_cc_b0_8e 83.966 16.034 96.065 3.935 24.01 224 0.875 bicubic +6.058 +2.411 -4 -5
184 tv_resnext50_32x4d 83.959 16.041 95.960 4.040 25.03 224 0.875 bilinear +6.339 +2.264 0 +1
185 regnety_016 83.955 16.045 96.005 3.995 11.20 224 0.875 bicubic +6.093 +2.285 -5 -6
186 gluon_resnet50_v1b 83.940 16.060 96.012 3.988 25.56 224 0.875 bicubic +6.360 +2.296 +1 +2
187 densenet161 83.906 16.094 96.010 3.990 28.68 224 0.875 bicubic +6.548 +2.372 +5 +6
188 adv_inception_v3 83.902 16.098 95.935 4.065 23.83 299 0.875 bicubic +6.320 +2.199 -2 -1
189 mobilenetv2_120d 83.893 16.107 95.909 4.091 5.83 224 0.875 bicubic +6.609 +2.417 +6 +7
190 seresnext26tn_32x4d 83.878 16.122 95.931 4.069 16.81 224 0.875 bicubic +5.892 +2.185 -14 -15
191 resnet101 tv_resnet101 83.848 16.152 95.892 4.108 44.55 224 0.875 bilinear +6.474 +2.352 0 +1
192 inception_v3 83.761 16.239 95.879 4.121 23.83 299 0.875 bicubic +6.321 +6.323 +2.403 -2 -1
193 seresnext26d_32x4d 83.754 16.246 95.849 4.151 16.81 224 0.875 bicubic +6.152 +2.241 -8 -7
194 dla60 vit_small_patch16_224 83.729 83.735 16.271 16.265 95.933 95.758 4.067 4.242 22.04 48.75 224 0.875 0.900 bilinear bicubic +6.697 +5.877 +2.615 +2.342 +6 -12
195 tf_efficientnet_b0_ap dla60 83.650 83.729 16.350 16.271 95.779 95.933 4.221 4.067 5.29 22.04 224 0.875 bicubic bilinear +6.564 +6.697 +2.523 +2.615 +4 +8
196 tf_efficientnet_es legacy_seresnet50 83.647 83.662 16.352 16.337 95.939 95.973 4.061 4.027 5.44 28.09 224 0.875 bicubic bilinear +6.389 +6.032 +2.345 +2.225 +1 -12
197 skresnet34 tf_efficientnet_b0_ap 83.641 83.650 16.359 16.350 95.933 95.779 4.067 4.221 22.28 5.29 224 0.875 bicubic +6.729 +6.564 +2.611 +2.523 +6 +5
198 tf_efficientnet_cc_b0_4e tf_efficientnet_es 83.639 83.647 16.361 16.352 95.740 95.939 4.260 4.061 13.31 5.44 224 0.875 bicubic +6.333 +6.389 +2.406 +2.345 -5 0
199 densenet201 skresnet34 83.556 83.641 16.444 16.359 95.811 95.933 4.189 4.067 20.01 22.28 224 0.875 bicubic +6.270 +6.729 +2.333 +2.611 -5 +7
200 mixnet_m tf_efficientnet_cc_b0_4e 83.515 83.639 16.485 16.361 95.689 95.740 4.311 4.260 5.01 13.31 224 0.875 bicubic +6.255 +6.333 +2.265 +2.406 -4 -6
201 densenet201 83.556 16.444 95.811 4.189 20.01 224 0.875 bicubic +6.270 +2.333 -6
202 legacy_seresnext26_32x4d 83.517 16.483 95.719 4.281 16.79 224 0.875 bicubic +6.413 +2.403 -1
203 mixnet_m 83.515 16.485 95.689 4.311 5.01 224 0.875 bicubic +6.255 +2.265 -6
204 tf_efficientnet_b0 83.515 16.485 95.719 4.281 5.29 224 0.875 bicubic +6.667 +2.491 +3
205 hrnet_w18 83.500 16.500 95.907 4.093 21.30 224 0.875 bilinear +6.742 +2.463 +4
206 densenetblur121d 83.472 16.527 95.822 4.178 8.00 224 0.875 bicubic +6.884 +2.630 +6
207 selecsls42b 83.457 16.543 95.745 4.255 32.46 224 0.875 bicubic +6.284 +2.355 -6 -8
208 tf_efficientnet_lite1 83.344 16.656 95.642 4.358 5.42 240 0.882 bicubic +6.702 +2.416 +3
209 regnetx_016 83.195 16.805 95.740 4.260 9.19 224 0.875 bicubic +6.245 +2.320 -5
210 mobilenetv2_140 83.182 16.818 95.689 4.311 6.11 224 0.875 bicubic +6.666 +2.693 +3
218 mixnet_s 82.525 17.476 95.356 4.644 4.13 224 0.875 bicubic +6.532 +2.560 -1
219 regnety_008 82.493 17.508 95.487 4.513 6.26 224 0.875 bicubic +6.177 +2.421 -4
220 efficientnet_lite0 82.382 17.619 95.279 4.721 4.65 224 0.875 bicubic +6.898 +2.769 +5
221 resnest14d 82.352 82.349 17.648 17.651 95.339 4.661 10.61 224 0.875 bilinear +6.846 +6.845 +2.821 +3
222 mobilenetv3_rw 82.275 17.725 95.234 4.766 5.48 224 0.875 bicubic +6.641 +2.526 -1
223 semnasnet_100 82.251 17.749 95.230 4.770 3.89 224 0.875 bicubic +6.803 +2.626 +3
224 mobilenetv3_large_100 82.177 17.823 95.196 4.804 5.48 224 0.875 bicubic +6.410 +2.654 -5
225 resnet34 82.138 17.862 95.130 4.870 21.80 224 0.875 bilinear +7.028 +2.846 +6
226 mobilenetv2_110d 82.070 17.930 95.076 4.923 4.52 224 0.875 bicubic +7.034 +2.890 +7
227 tf_mixnet_s 82.038 17.962 95.121 4.879 4.13 224 0.875 bicubic +6.388 +2.493 +2.491 -7
228 hrnet_w18_small_v2 81.961 18.039 95.164 4.836 15.60 224 0.875 bilinear +6.847 +2.748 +2
229 tf_efficientnet_lite0 81.952 18.048 95.168 4.832 4.65 224 0.875 bicubic +7.122 +2.992 +5
230 resnet26 81.944 18.056 95.241 4.759 16.00 224 0.875 bicubic +6.652 +2.671 -3
231 tf_mobilenetv3_large_100 81.848 18.152 95.070 4.930 5.48 224 0.875 bilinear +6.330 +2.464 -8
232 tv_densenet121 81.726 18.274 95.034 4.966 7.98 224 0.875 bicubic +6.988 +2.884 +3 +4
233 regnety_006 81.700 18.300 95.115 4.885 6.06 224 0.875 bicubic +6.454 +2.583 -5
234 dla34 81.658 18.342 94.878 5.122 15.74 224 0.875 bilinear +7.028 +2.800 +3 +4
235 fbnetc_100 81.559 18.441 94.970 5.030 5.57 224 0.875 bilinear +6.436 +2.584 -6
236 legacy_seresnet34 81.534 18.466 94.899 5.101 21.96 224 0.875 bilinear +6.726 +2.775 -1
237 gluon_resnet34_v1b 81.500 18.500 94.810 5.190 21.80 224 0.875 bicubic +6.912 +2.820 +2
238 regnetx_008 81.485 18.515 95.059 4.941 7.26 224 0.875 bicubic +6.447 +2.724 -5 -6
239 mnasnet_100 81.459 18.541 94.899 5.101 4.38 224 0.875 bicubic +6.801 +2.785 -2
240 spnasnet_100 80.878 19.122 94.526 5.474 4.42 224 0.875 bilinear +6.794 +2.708 0
241 regnety_004 80.659 19.341 94.686 5.314 4.34 224 0.875 bicubic +6.625 +2.934 0
243 regnetx_006 80.629 19.371 94.524 5.476 6.20 224 0.875 bicubic +6.777 +2.852 -1
244 swsl_resnet18 80.575 19.425 94.743 5.256 11.69 224 0.875 bilinear +7.299 +3.010 +1
245 tv_resnet34 80.389 19.611 94.436 5.564 21.80 224 0.875 bilinear +7.077 +3.010 -1
246 mobilenetv2_100 resnet18d 80.257 80.387 19.743 19.613 94.195 94.252 5.805 5.748 3.50 11.71 224 0.875 bicubic +7.287 +8.127 +3.179 +3.556 +1 +5
247 ssl_resnet18 mobilenetv2_100 80.101 80.257 19.899 19.743 94.590 94.195 5.410 5.805 11.69 3.50 224 0.875 bilinear bicubic +7.491 +7.287 +3.174 +3.179 +1 0
248 tf_mobilenetv3_large_075 ssl_resnet18 80.093 80.101 19.907 19.899 94.184 94.590 5.816 5.410 3.99 11.69 224 0.875 bilinear +6.655 +7.491 +2.834 +3.174 -5 0
249 hrnet_w18_small tf_mobilenetv3_large_075 79.557 80.093 20.443 19.907 93.898 94.184 6.102 5.816 13.19 3.99 224 0.875 bilinear +7.215 +6.655 +3.220 +2.834 +1 -6
250 regnetx_004 hrnet_w18_small 79.435 79.555 20.565 20.445 93.853 93.898 6.147 6.102 5.16 13.19 224 0.875 bicubic bilinear +7.039 +7.213 +3.023 +3.220 -1 0
251 regnetx_004 79.435 20.565 93.853 6.147 5.16 224 0.875 bicubic +7.039 +3.023 -2
252 tf_mobilenetv3_large_minimal_100 79.222 20.778 93.706 6.294 3.92 224 0.875 bilinear +6.974 +3.076 0
253 legacy_seresnet18 79.153 20.847 93.783 6.217 11.78 224 0.875 bicubic +7.411 +3.449 0
254 gluon_resnet18_v1b 78.372 21.628 93.138 6.862 11.69 224 0.875 bicubic +7.536 +3.376 0
255 regnety_002 77.405 22.595 92.914 7.086 3.16 224 0.875 bicubic +7.153 +3.374 0
256 resnet18 77.276 22.724 92.756 7.244 11.69 224 0.875 bilinear +7.528 +3.678 0
259 tf_mobilenetv3_small_100 74.717 25.283 91.257 8.743 2.54 224 0.875 bilinear +6.795 +3.593 -1
260 dla46x_c 73.647 26.353 91.095 8.905 1.07 224 0.875 bilinear +7.677 +4.115 0
261 tf_mobilenetv3_small_075 72.812 27.188 90.036 9.964 2.04 224 0.875 bilinear +7.096 +3.906 0
262 dla46_c 72.601 72.603 27.399 27.397 90.499 9.501 1.30 224 0.875 bilinear +7.735 +7.737 +4.207 0
263 tf_mobilenetv3_small_minimal_100 70.111 29.889 88.505 11.495 2.04 224 0.875 bilinear +7.205 +4.275 0

49
results/results-imagenet.csv
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@ -8,6 +8,7 @@ ig_resnext101_32x48d,85.428,14.572,97.572,2.428,828.41,224,0.875,bilinear
tf_efficientnet_b8,85.370,14.630,97.390,2.610,87.41,672,0.954,bicubic
tf_efficientnet_b8_ap,85.370,14.630,97.294,2.706,87.41,672,0.954,bicubic
tf_efficientnet_b4_ns,85.162,14.838,97.470,2.530,19.34,380,0.922,bicubic
vit_large_patch16_384,85.158,14.842,97.356,2.644,304.72,384,1.000,bicubic
tf_efficientnet_b7_ap,85.120,14.880,97.252,2.748,66.35,600,0.949,bicubic
ig_resnext101_32x32d,85.094,14.906,97.438,2.562,468.53,224,0.875,bilinear
tf_efficientnet_b7,84.936,15.064,97.204,2.796,66.35,600,0.949,bicubic
@ -15,6 +16,7 @@ tf_efficientnet_b6_ap,84.788,15.212,97.138,2.862,43.04,528,0.942,bicubic
resnest269e,84.518,15.482,96.986,3.014,110.93,416,0.928,bicubic
swsl_resnext101_32x8d,84.284,15.716,97.176,2.824,88.79,224,0.875,bilinear
tf_efficientnet_b5_ap,84.252,15.748,96.974,3.026,30.39,456,0.934,bicubic
vit_base_patch16_384,84.210,15.790,97.218,2.782,86.86,384,1.000,bicubic
ig_resnext101_32x16d,84.170,15.830,97.196,2.804,194.03,224,0.875,bilinear
tf_efficientnet_b6,84.110,15.890,96.886,3.114,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,84.048,15.952,96.910,3.090,12.23,300,0.904,bicubic
@ -31,20 +33,26 @@ ig_resnext101_32x8d,82.688,17.312,96.636,3.364,88.79,224,0.875,bilinear
nasnetalarge,82.620,17.380,96.046,3.954,88.75,331,0.911,bicubic
tf_efficientnet_b2_ns,82.380,17.620,96.248,3.752,9.11,260,0.890,bicubic
tresnet_l_448,82.268,17.732,95.976,4.024,55.99,448,0.875,bilinear
efficientnet_b3a,82.242,17.758,96.114,3.886,12.23,320,1.000,bicubic
swsl_resnext50_32x4d,82.182,17.818,96.230,3.770,25.03,224,0.875,bilinear
ecaresnet101d,82.172,17.828,96.046,3.954,44.57,224,0.875,bicubic
efficientnet_b3,82.076,17.924,96.020,3.980,12.23,300,0.904,bicubic
tresnet_xl,82.054,17.946,95.936,4.064,78.44,224,0.875,bilinear
efficientnet_b3a,81.866,18.134,95.836,4.164,12.23,320,1.000,bicubic
regnety_032,82.002,17.998,95.906,4.094,19.44,224,0.875,bicubic
ssl_resnext101_32x16d,81.844,18.156,96.096,3.904,194.03,224,0.875,bilinear
tf_efficientnet_b3_ap,81.822,18.178,95.624,4.376,12.23,300,0.904,bicubic
tresnet_m_448,81.714,18.286,95.572,4.428,31.39,448,0.875,bilinear
vit_base_patch32_384,81.652,18.348,96.128,3.872,88.30,384,1.000,bicubic
tf_efficientnet_b3,81.636,18.364,95.718,4.282,12.23,300,0.904,bicubic
rexnet_200,81.632,18.368,95.668,4.332,16.37,224,0.875,bicubic
ssl_resnext101_32x8d,81.616,18.384,96.038,3.962,88.79,224,0.875,bilinear
tf_efficientnet_lite4,81.536,18.464,95.668,4.332,13.01,380,0.920,bilinear
efficientnet_b3,81.494,18.506,95.716,4.284,12.23,300,0.904,bicubic
tresnet_l,81.488,18.512,95.624,4.376,55.99,224,0.875,bilinear
vit_large_patch32_384,81.506,18.494,96.092,3.908,306.63,384,1.000,bicubic
tresnet_l,81.490,18.510,95.624,4.376,55.99,224,0.875,bilinear
wide_resnet50_2,81.456,18.544,95.532,4.468,68.88,224,0.875,bicubic
tf_efficientnet_b1_ns,81.388,18.612,95.738,4.262,7.79,240,0.882,bicubic
legacy_senet154,81.310,18.690,95.496,4.504,115.09,224,0.875,bilinear
seresnext50_32x4d,81.266,18.734,95.620,4.380,27.56,224,0.875,bicubic
gluon_senet154,81.234,18.766,95.348,4.652,115.09,224,0.875,bicubic
swsl_resnet50,81.166,18.834,95.972,4.028,25.56,224,0.875,bilinear
resnest50d_4s2x40d,81.108,18.892,95.558,4.442,30.42,224,0.875,bicubic
@ -61,9 +69,10 @@ tresnet_m,80.802,19.198,94.860,5.140,31.39,224,0.875,bilinear
efficientnet_b2a,80.612,19.388,95.318,4.682,9.11,288,1.000,bicubic
gluon_resnext101_64x4d,80.604,19.396,94.988,5.012,83.46,224,0.875,bicubic
ecaresnet50d,80.592,19.408,95.320,4.680,25.58,224,0.875,bicubic
resnet50d,80.530,19.470,95.160,4.840,25.58,224,0.875,bicubic
mixnet_xl,80.476,19.524,94.936,5.064,11.90,224,0.875,bicubic
gluon_resnet152_v1d,80.474,19.526,95.206,4.794,60.21,224,0.875,bicubic
ecaresnetlight,80.462,19.538,95.250,4.750,30.16,224,0.875,bicubic
ecaresnetlight,80.462,19.538,95.248,4.752,30.16,224,0.875,bicubic
inception_resnet_v2,80.458,19.542,95.306,4.694,55.84,299,0.897,bicubic
tf_efficientnet_el,80.440,19.560,95.164,4.836,10.59,300,0.904,bicubic
gluon_resnet101_v1d,80.414,19.586,95.014,4.986,44.57,224,0.875,bicubic
@ -77,6 +86,7 @@ tf_efficientnet_b2_ap,80.300,19.700,95.028,4.972,9.11,260,0.890,bicubic
regnety_160,80.296,19.704,94.962,5.038,83.59,224,0.875,bicubic
seresnet50,80.274,19.726,95.070,4.930,28.09,224,0.875,bicubic
regnetx_320,80.246,19.754,95.026,4.974,107.81,224,0.875,bicubic
legacy_seresnext101_32x4d,80.228,19.772,95.018,4.982,48.96,224,0.875,bilinear
inception_v4,80.168,19.832,94.968,5.032,42.68,299,0.875,bicubic
dpn107,80.156,19.844,94.910,5.090,86.92,224,0.875,bicubic
skresnext50_32x4d,80.156,19.844,94.642,5.358,27.48,224,0.875,bicubic
@ -101,12 +111,14 @@ gluon_resnet152_v1b,79.686,20.314,94.736,5.264,60.19,224,0.875,bicubic
resnext50d_32x4d,79.676,20.324,94.866,5.134,25.05,224,0.875,bicubic
dpn98,79.642,20.358,94.598,5.402,61.57,224,0.875,bicubic
regnetx_120,79.596,20.404,94.738,5.262,46.11,224,0.875,bicubic
cspresnet50,79.574,20.426,94.712,5.288,21.62,256,0.887,bilinear
xception65,79.552,20.448,94.654,5.346,39.92,299,0.903,bicubic
gluon_resnet101_v1c,79.534,20.466,94.578,5.422,44.57,224,0.875,bicubic
rexnet_130,79.500,20.500,94.682,5.318,7.56,224,0.875,bicubic
hrnet_w64,79.474,20.526,94.652,5.348,128.06,224,0.875,bilinear
dla102x2,79.448,20.552,94.640,5.360,41.28,224,0.875,bilinear
gluon_resnext50_32x4d,79.354,20.646,94.426,5.574,25.03,224,0.875,bicubic
vit_base_patch16_224,79.348,20.652,94.512,5.488,86.54,224,0.900,bicubic
ese_vovnet39b,79.320,20.680,94.712,5.288,24.57,224,0.875,bicubic
resnext101_32x8d,79.308,20.692,94.518,5.482,88.79,224,0.875,bilinear
tf_efficientnet_cc_b1_8e,79.308,20.692,94.370,5.630,39.72,240,0.882,bicubic
@ -114,12 +126,14 @@ gluon_resnet101_v1b,79.306,20.694,94.524,5.476,44.55,224,0.875,bicubic
hrnet_w48,79.300,20.700,94.512,5.488,77.47,224,0.875,bilinear
resnetblur50,79.286,20.714,94.638,5.362,25.56,224,0.875,bicubic
tf_efficientnet_b1_ap,79.280,20.720,94.306,5.694,7.79,240,0.882,bicubic
efficientnet_em,79.252,20.748,94.794,5.206,6.90,240,0.882,bicubic
ssl_resnet50,79.222,20.778,94.832,5.168,25.56,224,0.875,bilinear
regnety_040,79.220,20.780,94.656,5.344,20.65,224,0.875,bicubic
dpn68b,79.216,20.784,94.414,5.586,12.61,224,0.875,bicubic
res2net50_26w_8s,79.198,20.802,94.368,5.632,48.40,224,0.875,bilinear
res2net101_26w_4s,79.198,20.802,94.432,5.568,45.21,224,0.875,bilinear
res2net50_26w_8s,79.198,20.802,94.368,5.632,48.40,224,0.875,bilinear
regnetx_080,79.194,20.806,94.560,5.440,39.57,224,0.875,bicubic
legacy_seresnext50_32x4d,79.078,20.922,94.436,5.564,27.56,224,0.875,bilinear
gluon_resnet50_v1d,79.074,20.926,94.470,5.530,25.58,224,0.875,bicubic
regnetx_064,79.072,20.928,94.458,5.542,26.21,224,0.875,bicubic
xception,79.052,20.948,94.392,5.608,22.86,299,0.897,bicubic
@ -127,27 +141,27 @@ resnet50,79.038,20.962,94.390,5.610,25.56,224,0.875,bicubic
mixnet_l,78.976,21.024,94.182,5.818,7.33,224,0.875,bicubic
hrnet_w40,78.920,21.080,94.470,5.530,57.56,224,0.875,bilinear
hrnet_w44,78.896,21.104,94.368,5.632,67.06,224,0.875,bilinear
regnety_032,78.886,21.114,94.412,5.588,19.44,224,0.875,bicubic
wide_resnet101_2,78.856,21.144,94.282,5.718,126.89,224,0.875,bilinear
tf_efficientnet_b1,78.826,21.174,94.198,5.802,7.79,240,0.882,bicubic
gluon_inception_v3,78.806,21.194,94.370,5.630,23.83,299,0.875,bicubic
tf_mixnet_l,78.774,21.226,93.998,6.002,7.33,224,0.875,bicubic
gluon_resnet50_v1s,78.712,21.288,94.238,5.762,25.68,224,0.875,bicubic
gluon_resnet50_v1s,78.710,21.290,94.238,5.762,25.68,224,0.875,bicubic
tf_efficientnet_em,78.708,21.292,94.314,5.686,6.90,240,0.882,bicubic
efficientnet_b1,78.698,21.302,94.144,5.856,7.79,240,0.875,bicubic
dla169,78.688,21.312,94.336,5.664,53.39,224,0.875,bilinear
legacy_seresnet152,78.660,21.340,94.370,5.630,66.82,224,0.875,bilinear
tf_efficientnet_b0_ns,78.658,21.342,94.376,5.624,5.29,224,0.875,bicubic
res2net50_26w_6s,78.570,21.430,94.124,5.876,37.05,224,0.875,bilinear
xception41,78.516,21.484,94.278,5.722,26.97,299,0.903,bicubic
dla102x,78.510,21.490,94.228,5.772,26.31,224,0.875,bilinear
regnetx_040,78.482,21.518,94.244,5.756,22.12,224,0.875,bicubic
resnest26d,78.478,21.522,94.298,5.702,17.07,224,0.875,bilinear
wide_resnet50_2,78.478,21.522,94.094,5.906,68.88,224,0.875,bilinear
dla60_res2net,78.464,21.536,94.206,5.794,20.85,224,0.875,bilinear
hrnet_w32,78.450,21.550,94.186,5.814,41.23,224,0.875,bilinear
dla60_res2next,78.440,21.560,94.152,5.848,17.03,224,0.875,bilinear
selecsls60b,78.412,21.588,94.174,5.826,32.77,224,0.875,bicubic
resnet152,78.312,21.688,94.038,5.962,60.19,224,0.875,bilinear
legacy_seresnet101,78.382,21.618,94.264,5.736,49.33,224,0.875,bilinear
tv_resnet152,78.312,21.688,94.038,5.962,60.19,224,0.875,bilinear
dla60x,78.246,21.754,94.018,5.982,17.35,224,0.875,bilinear
res2next50,78.246,21.754,93.892,6.108,24.67,224,0.875,bilinear
efficientnet_b1_pruned,78.236,21.764,93.834,6.166,6.33,240,0.882,bicubic
@ -163,17 +177,19 @@ selecsls60,77.982,22.018,93.828,6.172,30.67,224,0.875,bicubic
res2net50_26w_4s,77.964,22.036,93.854,6.146,25.70,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,77.908,22.092,93.654,6.346,24.01,224,0.875,bicubic
regnety_016,77.862,22.138,93.720,6.280,11.20,224,0.875,bicubic
tf_inception_v3,77.862,22.138,93.640,6.360,23.83,299,0.875,bicubic
rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic
tf_inception_v3,77.858,22.142,93.638,6.362,23.83,299,0.875,bicubic
vit_small_patch16_224,77.858,22.142,93.416,6.584,48.75,224,0.900,bicubic
efficientnet_b0,77.698,22.302,93.532,6.468,5.29,224,0.875,bicubic
legacy_seresnet50,77.630,22.370,93.748,6.252,28.09,224,0.875,bilinear
tv_resnext50_32x4d,77.620,22.380,93.696,6.304,25.03,224,0.875,bilinear
seresnext26d_32x4d,77.602,22.398,93.608,6.392,16.81,224,0.875,bicubic
adv_inception_v3,77.582,22.418,93.736,6.264,23.83,299,0.875,bicubic
gluon_resnet50_v1b,77.580,22.420,93.716,6.284,25.56,224,0.875,bicubic
res2net50_48w_2s,77.522,22.478,93.554,6.446,25.29,224,0.875,bilinear
tf_efficientnet_lite2,77.468,22.532,93.754,6.246,6.09,260,0.890,bicubic
inception_v3,77.440,22.560,93.476,6.524,23.83,299,0.875,bicubic
resnet101,77.374,22.626,93.540,6.460,44.55,224,0.875,bilinear
inception_v3,77.438,22.562,93.476,6.524,23.83,299,0.875,bicubic
tv_resnet101,77.374,22.626,93.540,6.460,44.55,224,0.875,bilinear
densenet161,77.358,22.642,93.638,6.362,28.68,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,77.306,22.694,93.334,6.666,13.31,224,0.875,bicubic
densenet201,77.286,22.714,93.478,6.522,20.01,224,0.875,bicubic
@ -181,6 +197,8 @@ mobilenetv2_120d,77.284,22.716,93.492,6.508,5.83,224,0.875,bicubic
mixnet_m,77.260,22.740,93.424,6.576,5.01,224,0.875,bicubic
tf_efficientnet_es,77.258,22.742,93.594,6.406,5.44,224,0.875,bicubic
selecsls42b,77.174,22.826,93.390,6.610,32.46,224,0.875,bicubic
resnet34d,77.116,22.884,93.382,6.618,21.82,224,0.875,bicubic
legacy_seresnext26_32x4d,77.104,22.896,93.316,6.684,16.79,224,0.875,bicubic
tf_efficientnet_b0_ap,77.086,22.914,93.256,6.744,5.29,224,0.875,bicubic
dla60,77.032,22.968,93.318,6.682,22.04,224,0.875,bilinear
regnetx_016,76.950,23.050,93.420,6.580,9.19,224,0.875,bicubic
@ -199,11 +217,11 @@ tv_resnet50,76.138,23.862,92.864,7.136,25.56,224,0.875,bilinear
mixnet_s,75.992,24.008,92.796,7.204,4.13,224,0.875,bicubic
densenet169,75.906,24.094,93.026,6.974,14.15,224,0.875,bicubic
mobilenetv3_large_100,75.766,24.234,92.542,7.458,5.48,224,0.875,bicubic
tf_mixnet_s,75.650,24.350,92.628,7.372,4.13,224,0.875,bicubic
tf_mixnet_s,75.650,24.350,92.630,7.370,4.13,224,0.875,bicubic
mobilenetv3_rw,75.634,24.366,92.708,7.292,5.48,224,0.875,bicubic
densenet121,75.578,24.422,92.652,7.348,7.98,224,0.875,bicubic
tf_mobilenetv3_large_100,75.518,24.482,92.606,7.394,5.48,224,0.875,bilinear
resnest14d,75.506,24.494,92.518,7.482,10.61,224,0.875,bilinear
resnest14d,75.504,24.496,92.518,7.482,10.61,224,0.875,bilinear
efficientnet_lite0,75.484,24.516,92.510,7.490,4.65,224,0.875,bicubic
semnasnet_100,75.448,24.552,92.604,7.396,3.89,224,0.875,bicubic
resnet26,75.292,24.708,92.570,7.430,16.00,224,0.875,bicubic
@ -214,6 +232,7 @@ resnet34,75.110,24.890,92.284,7.716,21.80,224,0.875,bilinear
regnetx_008,75.038,24.962,92.336,7.664,7.26,224,0.875,bicubic
mobilenetv2_110d,75.036,24.964,92.186,7.814,4.52,224,0.875,bicubic
tf_efficientnet_lite0,74.830,25.170,92.176,7.824,4.65,224,0.875,bicubic
legacy_seresnet34,74.808,25.192,92.124,7.876,21.96,224,0.875,bilinear
tv_densenet121,74.738,25.262,92.150,7.850,7.98,224,0.875,bicubic
mnasnet_100,74.658,25.342,92.114,7.886,4.38,224,0.875,bicubic
dla34,74.630,25.370,92.078,7.922,15.74,224,0.875,bilinear
@ -229,7 +248,9 @@ mobilenetv2_100,72.970,27.030,91.016,8.984,3.50,224,0.875,bicubic
ssl_resnet18,72.610,27.390,91.416,8.584,11.69,224,0.875,bilinear
regnetx_004,72.396,27.604,90.830,9.170,5.16,224,0.875,bicubic
hrnet_w18_small,72.342,27.658,90.678,9.322,13.19,224,0.875,bilinear
resnet18d,72.260,27.740,90.696,9.304,11.71,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,72.248,27.752,90.630,9.370,3.92,224,0.875,bilinear
legacy_seresnet18,71.742,28.258,90.334,9.666,11.78,224,0.875,bicubic
gluon_resnet18_v1b,70.836,29.164,89.762,10.238,11.69,224,0.875,bicubic
regnety_002,70.252,29.748,89.540,10.460,3.16,224,0.875,bicubic
resnet18,69.748,30.252,89.078,10.922,11.69,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
8 tf_efficientnet_b8 85.370 14.630 97.390 2.610 87.41 672 0.954 bicubic
9 tf_efficientnet_b8_ap 85.370 14.630 97.294 2.706 87.41 672 0.954 bicubic
10 tf_efficientnet_b4_ns 85.162 14.838 97.470 2.530 19.34 380 0.922 bicubic
11 vit_large_patch16_384 85.158 14.842 97.356 2.644 304.72 384 1.000 bicubic
12 tf_efficientnet_b7_ap 85.120 14.880 97.252 2.748 66.35 600 0.949 bicubic
13 ig_resnext101_32x32d 85.094 14.906 97.438 2.562 468.53 224 0.875 bilinear
14 tf_efficientnet_b7 84.936 15.064 97.204 2.796 66.35 600 0.949 bicubic
16 resnest269e 84.518 15.482 96.986 3.014 110.93 416 0.928 bicubic
17 swsl_resnext101_32x8d 84.284 15.716 97.176 2.824 88.79 224 0.875 bilinear
18 tf_efficientnet_b5_ap 84.252 15.748 96.974 3.026 30.39 456 0.934 bicubic
19 vit_base_patch16_384 84.210 15.790 97.218 2.782 86.86 384 1.000 bicubic
20 ig_resnext101_32x16d 84.170 15.830 97.196 2.804 194.03 224 0.875 bilinear
21 tf_efficientnet_b6 84.110 15.890 96.886 3.114 43.04 528 0.942 bicubic
22 tf_efficientnet_b3_ns 84.048 15.952 96.910 3.090 12.23 300 0.904 bicubic
33 nasnetalarge 82.620 17.380 96.046 3.954 88.75 331 0.911 bicubic
34 tf_efficientnet_b2_ns 82.380 17.620 96.248 3.752 9.11 260 0.890 bicubic
35 tresnet_l_448 82.268 17.732 95.976 4.024 55.99 448 0.875 bilinear
36 efficientnet_b3a 82.242 17.758 96.114 3.886 12.23 320 1.000 bicubic
37 swsl_resnext50_32x4d 82.182 17.818 96.230 3.770 25.03 224 0.875 bilinear
38 ecaresnet101d 82.172 17.828 96.046 3.954 44.57 224 0.875 bicubic
39 efficientnet_b3 82.076 17.924 96.020 3.980 12.23 300 0.904 bicubic
40 tresnet_xl 82.054 17.946 95.936 4.064 78.44 224 0.875 bilinear
41 efficientnet_b3a regnety_032 81.866 82.002 18.134 17.998 95.836 95.906 4.164 4.094 12.23 19.44 320 224 1.000 0.875 bicubic
42 ssl_resnext101_32x16d 81.844 18.156 96.096 3.904 194.03 224 0.875 bilinear
43 tf_efficientnet_b3_ap 81.822 18.178 95.624 4.376 12.23 300 0.904 bicubic
44 tresnet_m_448 81.714 18.286 95.572 4.428 31.39 448 0.875 bilinear
45 vit_base_patch32_384 81.652 18.348 96.128 3.872 88.30 384 1.000 bicubic
46 tf_efficientnet_b3 81.636 18.364 95.718 4.282 12.23 300 0.904 bicubic
47 rexnet_200 81.632 18.368 95.668 4.332 16.37 224 0.875 bicubic
48 ssl_resnext101_32x8d 81.616 18.384 96.038 3.962 88.79 224 0.875 bilinear
49 tf_efficientnet_lite4 81.536 18.464 95.668 4.332 13.01 380 0.920 bilinear
50 efficientnet_b3 vit_large_patch32_384 81.494 81.506 18.506 18.494 95.716 96.092 4.284 3.908 12.23 306.63 300 384 0.904 1.000 bicubic
51 tresnet_l 81.488 81.490 18.512 18.510 95.624 4.376 55.99 224 0.875 bilinear
52 wide_resnet50_2 81.456 18.544 95.532 4.468 68.88 224 0.875 bicubic
53 tf_efficientnet_b1_ns 81.388 18.612 95.738 4.262 7.79 240 0.882 bicubic
54 legacy_senet154 81.310 18.690 95.496 4.504 115.09 224 0.875 bilinear
55 seresnext50_32x4d 81.266 18.734 95.620 4.380 27.56 224 0.875 bicubic
56 gluon_senet154 81.234 18.766 95.348 4.652 115.09 224 0.875 bicubic
57 swsl_resnet50 81.166 18.834 95.972 4.028 25.56 224 0.875 bilinear
58 resnest50d_4s2x40d 81.108 18.892 95.558 4.442 30.42 224 0.875 bicubic
69 efficientnet_b2a 80.612 19.388 95.318 4.682 9.11 288 1.000 bicubic
70 gluon_resnext101_64x4d 80.604 19.396 94.988 5.012 83.46 224 0.875 bicubic
71 ecaresnet50d 80.592 19.408 95.320 4.680 25.58 224 0.875 bicubic
72 resnet50d 80.530 19.470 95.160 4.840 25.58 224 0.875 bicubic
73 mixnet_xl 80.476 19.524 94.936 5.064 11.90 224 0.875 bicubic
74 gluon_resnet152_v1d 80.474 19.526 95.206 4.794 60.21 224 0.875 bicubic
75 ecaresnetlight 80.462 19.538 95.250 95.248 4.750 4.752 30.16 224 0.875 bicubic
76 inception_resnet_v2 80.458 19.542 95.306 4.694 55.84 299 0.897 bicubic
77 tf_efficientnet_el 80.440 19.560 95.164 4.836 10.59 300 0.904 bicubic
78 gluon_resnet101_v1d 80.414 19.586 95.014 4.986 44.57 224 0.875 bicubic
86 regnety_160 80.296 19.704 94.962 5.038 83.59 224 0.875 bicubic
87 seresnet50 80.274 19.726 95.070 4.930 28.09 224 0.875 bicubic
88 regnetx_320 80.246 19.754 95.026 4.974 107.81 224 0.875 bicubic
89 legacy_seresnext101_32x4d 80.228 19.772 95.018 4.982 48.96 224 0.875 bilinear
90 inception_v4 80.168 19.832 94.968 5.032 42.68 299 0.875 bicubic
91 dpn107 80.156 19.844 94.910 5.090 86.92 224 0.875 bicubic
92 skresnext50_32x4d 80.156 19.844 94.642 5.358 27.48 224 0.875 bicubic
111 resnext50d_32x4d 79.676 20.324 94.866 5.134 25.05 224 0.875 bicubic
112 dpn98 79.642 20.358 94.598 5.402 61.57 224 0.875 bicubic
113 regnetx_120 79.596 20.404 94.738 5.262 46.11 224 0.875 bicubic
114 cspresnet50 79.574 20.426 94.712 5.288 21.62 256 0.887 bilinear
115 xception65 79.552 20.448 94.654 5.346 39.92 299 0.903 bicubic
116 gluon_resnet101_v1c 79.534 20.466 94.578 5.422 44.57 224 0.875 bicubic
117 rexnet_130 79.500 20.500 94.682 5.318 7.56 224 0.875 bicubic
118 hrnet_w64 79.474 20.526 94.652 5.348 128.06 224 0.875 bilinear
119 dla102x2 79.448 20.552 94.640 5.360 41.28 224 0.875 bilinear
120 gluon_resnext50_32x4d 79.354 20.646 94.426 5.574 25.03 224 0.875 bicubic
121 vit_base_patch16_224 79.348 20.652 94.512 5.488 86.54 224 0.900 bicubic
122 ese_vovnet39b 79.320 20.680 94.712 5.288 24.57 224 0.875 bicubic
123 resnext101_32x8d 79.308 20.692 94.518 5.482 88.79 224 0.875 bilinear
124 tf_efficientnet_cc_b1_8e 79.308 20.692 94.370 5.630 39.72 240 0.882 bicubic
126 hrnet_w48 79.300 20.700 94.512 5.488 77.47 224 0.875 bilinear
127 resnetblur50 79.286 20.714 94.638 5.362 25.56 224 0.875 bicubic
128 tf_efficientnet_b1_ap 79.280 20.720 94.306 5.694 7.79 240 0.882 bicubic
129 efficientnet_em 79.252 20.748 94.794 5.206 6.90 240 0.882 bicubic
130 ssl_resnet50 79.222 20.778 94.832 5.168 25.56 224 0.875 bilinear
131 regnety_040 79.220 20.780 94.656 5.344 20.65 224 0.875 bicubic
132 dpn68b 79.216 20.784 94.414 5.586 12.61 224 0.875 bicubic
res2net50_26w_8s 79.198 20.802 94.368 5.632 48.40 224 0.875 bilinear
133 res2net101_26w_4s 79.198 20.802 94.432 5.568 45.21 224 0.875 bilinear
134 res2net50_26w_8s 79.198 20.802 94.368 5.632 48.40 224 0.875 bilinear
135 regnetx_080 79.194 20.806 94.560 5.440 39.57 224 0.875 bicubic
136 legacy_seresnext50_32x4d 79.078 20.922 94.436 5.564 27.56 224 0.875 bilinear
137 gluon_resnet50_v1d 79.074 20.926 94.470 5.530 25.58 224 0.875 bicubic
138 regnetx_064 79.072 20.928 94.458 5.542 26.21 224 0.875 bicubic
139 xception 79.052 20.948 94.392 5.608 22.86 299 0.897 bicubic
141 mixnet_l 78.976 21.024 94.182 5.818 7.33 224 0.875 bicubic
142 hrnet_w40 78.920 21.080 94.470 5.530 57.56 224 0.875 bilinear
143 hrnet_w44 78.896 21.104 94.368 5.632 67.06 224 0.875 bilinear
regnety_032 78.886 21.114 94.412 5.588 19.44 224 0.875 bicubic
144 wide_resnet101_2 78.856 21.144 94.282 5.718 126.89 224 0.875 bilinear
145 tf_efficientnet_b1 78.826 21.174 94.198 5.802 7.79 240 0.882 bicubic
146 gluon_inception_v3 78.806 21.194 94.370 5.630 23.83 299 0.875 bicubic
147 tf_mixnet_l 78.774 21.226 93.998 6.002 7.33 224 0.875 bicubic
148 gluon_resnet50_v1s 78.712 78.710 21.288 21.290 94.238 5.762 25.68 224 0.875 bicubic
149 tf_efficientnet_em 78.708 21.292 94.314 5.686 6.90 240 0.882 bicubic
150 efficientnet_b1 78.698 21.302 94.144 5.856 7.79 240 0.875 bicubic
151 dla169 78.688 21.312 94.336 5.664 53.39 224 0.875 bilinear
152 legacy_seresnet152 78.660 21.340 94.370 5.630 66.82 224 0.875 bilinear
153 tf_efficientnet_b0_ns 78.658 21.342 94.376 5.624 5.29 224 0.875 bicubic
154 res2net50_26w_6s 78.570 21.430 94.124 5.876 37.05 224 0.875 bilinear
155 xception41 78.516 21.484 94.278 5.722 26.97 299 0.903 bicubic
156 dla102x 78.510 21.490 94.228 5.772 26.31 224 0.875 bilinear
157 regnetx_040 78.482 21.518 94.244 5.756 22.12 224 0.875 bicubic
158 resnest26d 78.478 21.522 94.298 5.702 17.07 224 0.875 bilinear
wide_resnet50_2 78.478 21.522 94.094 5.906 68.88 224 0.875 bilinear
159 dla60_res2net 78.464 21.536 94.206 5.794 20.85 224 0.875 bilinear
160 hrnet_w32 78.450 21.550 94.186 5.814 41.23 224 0.875 bilinear
161 dla60_res2next 78.440 21.560 94.152 5.848 17.03 224 0.875 bilinear
162 selecsls60b 78.412 21.588 94.174 5.826 32.77 224 0.875 bicubic
163 resnet152 legacy_seresnet101 78.312 78.382 21.688 21.618 94.038 94.264 5.962 5.736 60.19 49.33 224 0.875 bilinear
164 tv_resnet152 78.312 21.688 94.038 5.962 60.19 224 0.875 bilinear
165 dla60x 78.246 21.754 94.018 5.982 17.35 224 0.875 bilinear
166 res2next50 78.246 21.754 93.892 6.108 24.67 224 0.875 bilinear
167 efficientnet_b1_pruned 78.236 21.764 93.834 6.166 6.33 240 0.882 bicubic
177 res2net50_26w_4s 77.964 22.036 93.854 6.146 25.70 224 0.875 bilinear
178 tf_efficientnet_cc_b0_8e 77.908 22.092 93.654 6.346 24.01 224 0.875 bicubic
179 regnety_016 77.862 22.138 93.720 6.280 11.20 224 0.875 bicubic
180 tf_inception_v3 77.862 22.138 93.640 6.360 23.83 299 0.875 bicubic
181 rexnet_100 77.858 22.142 93.870 6.130 4.80 224 0.875 bicubic
182 tf_inception_v3 vit_small_patch16_224 77.858 22.142 93.638 93.416 6.362 6.584 23.83 48.75 299 224 0.875 0.900 bicubic
183 efficientnet_b0 77.698 22.302 93.532 6.468 5.29 224 0.875 bicubic
184 legacy_seresnet50 77.630 22.370 93.748 6.252 28.09 224 0.875 bilinear
185 tv_resnext50_32x4d 77.620 22.380 93.696 6.304 25.03 224 0.875 bilinear
186 seresnext26d_32x4d 77.602 22.398 93.608 6.392 16.81 224 0.875 bicubic
187 adv_inception_v3 77.582 22.418 93.736 6.264 23.83 299 0.875 bicubic
188 gluon_resnet50_v1b 77.580 22.420 93.716 6.284 25.56 224 0.875 bicubic
189 res2net50_48w_2s 77.522 22.478 93.554 6.446 25.29 224 0.875 bilinear
190 tf_efficientnet_lite2 77.468 22.532 93.754 6.246 6.09 260 0.890 bicubic
191 inception_v3 77.440 77.438 22.560 22.562 93.476 6.524 23.83 299 0.875 bicubic
192 resnet101 tv_resnet101 77.374 22.626 93.540 6.460 44.55 224 0.875 bilinear
193 densenet161 77.358 22.642 93.638 6.362 28.68 224 0.875 bicubic
194 tf_efficientnet_cc_b0_4e 77.306 22.694 93.334 6.666 13.31 224 0.875 bicubic
195 densenet201 77.286 22.714 93.478 6.522 20.01 224 0.875 bicubic
197 mixnet_m 77.260 22.740 93.424 6.576 5.01 224 0.875 bicubic
198 tf_efficientnet_es 77.258 22.742 93.594 6.406 5.44 224 0.875 bicubic
199 selecsls42b 77.174 22.826 93.390 6.610 32.46 224 0.875 bicubic
200 resnet34d 77.116 22.884 93.382 6.618 21.82 224 0.875 bicubic
201 legacy_seresnext26_32x4d 77.104 22.896 93.316 6.684 16.79 224 0.875 bicubic
202 tf_efficientnet_b0_ap 77.086 22.914 93.256 6.744 5.29 224 0.875 bicubic
203 dla60 77.032 22.968 93.318 6.682 22.04 224 0.875 bilinear
204 regnetx_016 76.950 23.050 93.420 6.580 9.19 224 0.875 bicubic
217 mixnet_s 75.992 24.008 92.796 7.204 4.13 224 0.875 bicubic
218 densenet169 75.906 24.094 93.026 6.974 14.15 224 0.875 bicubic
219 mobilenetv3_large_100 75.766 24.234 92.542 7.458 5.48 224 0.875 bicubic
220 tf_mixnet_s 75.650 24.350 92.628 92.630 7.372 7.370 4.13 224 0.875 bicubic
221 mobilenetv3_rw 75.634 24.366 92.708 7.292 5.48 224 0.875 bicubic
222 densenet121 75.578 24.422 92.652 7.348 7.98 224 0.875 bicubic
223 tf_mobilenetv3_large_100 75.518 24.482 92.606 7.394 5.48 224 0.875 bilinear
224 resnest14d 75.506 75.504 24.494 24.496 92.518 7.482 10.61 224 0.875 bilinear
225 efficientnet_lite0 75.484 24.516 92.510 7.490 4.65 224 0.875 bicubic
226 semnasnet_100 75.448 24.552 92.604 7.396 3.89 224 0.875 bicubic
227 resnet26 75.292 24.708 92.570 7.430 16.00 224 0.875 bicubic
232 regnetx_008 75.038 24.962 92.336 7.664 7.26 224 0.875 bicubic
233 mobilenetv2_110d 75.036 24.964 92.186 7.814 4.52 224 0.875 bicubic
234 tf_efficientnet_lite0 74.830 25.170 92.176 7.824 4.65 224 0.875 bicubic
235 legacy_seresnet34 74.808 25.192 92.124 7.876 21.96 224 0.875 bilinear
236 tv_densenet121 74.738 25.262 92.150 7.850 7.98 224 0.875 bicubic
237 mnasnet_100 74.658 25.342 92.114 7.886 4.38 224 0.875 bicubic
238 dla34 74.630 25.370 92.078 7.922 15.74 224 0.875 bilinear
248 ssl_resnet18 72.610 27.390 91.416 8.584 11.69 224 0.875 bilinear
249 regnetx_004 72.396 27.604 90.830 9.170 5.16 224 0.875 bicubic
250 hrnet_w18_small 72.342 27.658 90.678 9.322 13.19 224 0.875 bilinear
251 resnet18d 72.260 27.740 90.696 9.304 11.71 224 0.875 bicubic
252 tf_mobilenetv3_large_minimal_100 72.248 27.752 90.630 9.370 3.92 224 0.875 bilinear
253 legacy_seresnet18 71.742 28.258 90.334 9.666 11.78 224 0.875 bicubic
254 gluon_resnet18_v1b 70.836 29.164 89.762 10.238 11.69 224 0.875 bicubic
255 regnety_002 70.252 29.748 89.540 10.460 3.16 224 0.875 bicubic
256 resnet18 69.748 30.252 89.078 10.922 11.69 224 0.875 bilinear

295
results/results-imagenetv2-matched-frequency.csv
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@ -4,20 +4,22 @@ tf_efficientnet_l2_ns,80.250,19.750,95.840,4.160,480.31,800,0.960,bicubic,-8.102
tf_efficientnet_b7_ns,78.510,21.490,94.380,5.620,66.35,600,0.949,bicubic,-8.330,-3.714,0
tf_efficientnet_b6_ns,77.280,22.720,93.890,6.110,43.04,528,0.942,bicubic,-9.172,-3.992,0
ig_resnext101_32x48d,76.870,23.130,93.310,6.690,828.41,224,0.875,bilinear,-8.558,-4.262,+1
ig_resnext101_32x32d,76.840,23.160,93.200,6.800,468.53,224,0.875,bilinear,-8.254,-4.238,+5
ig_resnext101_32x32d,76.840,23.160,93.200,6.800,468.53,224,0.875,bilinear,-8.254,-4.238,+6
tf_efficientnet_b5_ns,76.810,23.190,93.580,6.420,30.39,456,0.934,bicubic,-9.278,-4.172,-2
tf_efficientnet_b7_ap,76.090,23.910,92.970,7.030,66.35,600,0.949,bicubic,-9.030,-4.282,+2
tf_efficientnet_b7_ap,76.090,23.910,92.970,7.030,66.35,600,0.949,bicubic,-9.030,-4.282,+3
tf_efficientnet_b8_ap,76.090,23.910,92.730,7.270,87.41,672,0.954,bicubic,-9.280,-4.564,-1
ig_resnext101_32x16d,75.720,24.280,92.910,7.090,194.03,224,0.875,bilinear,-8.450,-4.286,+7
ig_resnext101_32x16d,75.720,24.280,92.910,7.090,194.03,224,0.875,bilinear,-8.450,-4.286,+9
tf_efficientnet_b4_ns,75.670,24.330,93.050,6.950,19.34,380,0.922,bicubic,-9.492,-4.420,-2
swsl_resnext101_32x8d,75.430,24.570,92.760,7.240,88.79,224,0.875,bilinear,-8.854,-4.416,+3
tf_efficientnet_b6_ap,75.380,24.620,92.440,7.560,43.04,528,0.942,bicubic,-9.408,-4.698,0
tf_efficientnet_b8,74.940,25.060,92.310,7.690,87.41,672,0.954,bicubic,-10.430,-5.080,-7
swsl_resnext101_32x8d,75.430,24.570,92.760,7.240,88.79,224,0.875,bilinear,-8.854,-4.416,+4
tf_efficientnet_b6_ap,75.380,24.620,92.440,7.560,43.04,528,0.942,bicubic,-9.408,-4.698,+1
vit_large_patch16_384,75.150,24.850,92.660,7.340,304.72,384,1.000,bicubic,-10.008,-4.696,-4
tf_efficientnet_b8,74.940,25.060,92.310,7.690,87.41,672,0.954,bicubic,-10.430,-5.080,-8
tf_efficientnet_b7,74.720,25.280,92.220,7.780,66.35,600,0.949,bicubic,-10.216,-4.984,-3
tf_efficientnet_b5_ap,74.600,25.400,91.990,8.010,30.39,456,0.934,bicubic,-9.652,-4.984,0
resnest200e,74.480,25.520,91.860,8.140,70.20,320,0.909,bicubic,-9.352,-5.034,+3
resnest200e,74.480,25.520,91.860,8.140,70.20,320,0.909,bicubic,-9.352,-5.034,+4
resnest269e,74.170,25.830,91.950,8.050,110.93,416,0.928,bicubic,-10.348,-5.036,-4
swsl_resnext101_32x4d,74.140,25.860,91.990,8.010,44.18,224,0.875,bilinear,-9.090,-4.770,+5
swsl_resnext101_32x4d,74.140,25.860,91.990,8.010,44.18,224,0.875,bilinear,-9.090,-4.770,+6
vit_base_patch16_384,74.130,25.870,92.360,7.640,86.86,384,1.000,bicubic,-10.080,-4.858,-3
swsl_resnext101_32x16d,74.020,25.980,92.160,7.840,194.03,224,0.875,bilinear,-9.326,-4.686,+2
tf_efficientnet_b6,73.900,26.100,91.750,8.250,43.04,528,0.942,bicubic,-10.210,-5.136,-3
tf_efficientnet_b3_ns,73.890,26.110,91.870,8.130,12.23,300,0.904,bicubic,-10.158,-5.040,-3
@ -26,168 +28,184 @@ tf_efficientnet_b5,73.550,26.450,91.460,8.540,30.39,456,0.934,bicubic,-10.262,-5
tf_efficientnet_b4_ap,72.890,27.110,90.980,9.020,19.34,380,0.922,bicubic,-10.358,-5.412,-2
pnasnet5large,72.610,27.390,90.510,9.490,86.06,331,0.911,bicubic,-10.172,-5.530,+2
resnest101e,72.570,27.430,90.820,9.180,48.28,256,0.875,bilinear,-10.320,-5.500,0
swsl_resnext50_32x4d,72.560,27.440,90.870,9.130,25.03,224,0.875,bilinear,-9.622,-5.360,+5
swsl_resnext50_32x4d,72.560,27.440,90.870,9.130,25.03,224,0.875,bilinear,-9.622,-5.360,+6
tresnet_xl_448,72.550,27.450,90.310,9.690,78.44,448,0.875,bilinear,-10.500,-5.864,-4
tf_efficientnet_b4,72.290,27.710,90.590,9.410,19.34,380,0.922,bicubic,-10.732,-5.710,-4
tf_efficientnet_b2_ns,72.280,27.720,91.090,8.910,9.11,260,0.890,bicubic,-10.100,-5.158,0
nasnetalarge,72.230,27.770,90.470,9.530,88.75,331,0.911,bicubic,-10.390,-5.576,-2
swsl_resnet50,71.700,28.300,90.500,9.500,25.56,224,0.875,bilinear,-9.466,-5.472,+15
tresnet_xl,71.660,28.340,89.630,10.370,78.44,224,0.875,bilinear,-10.394,-6.306,+1
swsl_resnet50,71.700,28.300,90.500,9.500,25.56,224,0.875,bilinear,-9.466,-5.472,+21
tresnet_xl,71.660,28.340,89.630,10.370,78.44,224,0.875,bilinear,-10.394,-6.306,+3
tresnet_l_448,71.600,28.400,90.050,9.950,55.99,448,0.875,bilinear,-10.668,-5.926,-3
ssl_resnext101_32x8d,71.500,28.500,90.460,9.540,88.79,224,0.875,bilinear,-10.116,-5.578,+6
ecaresnet101d,71.490,28.510,90.330,9.670,44.57,224,0.875,bicubic,-10.682,-5.716,-3
ssl_resnext101_32x8d,71.500,28.500,90.460,9.540,88.79,224,0.875,bilinear,-10.116,-5.578,+9
ecaresnet101d,71.490,28.510,90.330,9.670,44.57,224,0.875,bicubic,-10.682,-5.716,-2
efficientnet_b3a,71.480,28.520,90.060,9.940,12.23,320,1.000,bicubic,-10.762,-6.054,-5
efficientnet_b3,71.460,28.540,90.090,9.910,12.23,300,0.904,bicubic,-10.616,-5.930,-3
ssl_resnext101_32x16d,71.410,28.590,90.560,9.440,194.03,224,0.875,bilinear,-10.434,-5.536,-1
tresnet_m_448,70.990,29.010,88.680,11.320,31.39,448,0.875,bilinear,-10.724,-6.892,0
resnest50d_4s2x40d,70.950,29.050,89.710,10.290,30.42,224,0.875,bicubic,-10.158,-5.848,+9
tf_efficientnet_b3_ap,70.920,29.080,89.430,10.570,12.23,300,0.904,bicubic,-10.902,-6.194,-3
efficientnet_b3a,70.870,29.130,89.720,10.280,12.23,320,1.000,bicubic,-10.996,-6.116,-6
vit_base_patch32_384,71.180,28.820,90.630,9.370,88.30,384,1.000,bicubic,-10.472,-5.498,+1
regnety_032,71.080,28.920,90.270,9.730,19.44,224,0.875,bicubic,-10.922,-5.636,-4
tresnet_m_448,70.990,29.010,88.680,11.320,31.39,448,0.875,bilinear,-10.724,-6.892,-2
resnest50d_4s2x40d,70.950,29.050,89.710,10.290,30.42,224,0.875,bicubic,-10.158,-5.848,+11
wide_resnet50_2,70.950,29.050,89.230,10.770,68.88,224,0.875,bicubic,-10.506,-6.302,+4
tf_efficientnet_b3_ap,70.920,29.080,89.430,10.570,12.23,300,0.904,bicubic,-10.902,-6.194,-6
tf_efficientnet_b1_ns,70.870,29.130,90.120,9.880,7.79,240,0.882,bicubic,-10.518,-5.618,+3
rexnet_200,70.840,29.160,89.700,10.300,16.37,224,0.875,bicubic,-10.792,-5.968,-3
tresnet_l,70.840,29.160,89.630,10.370,55.99,224,0.875,bilinear,-10.648,-5.994,0
efficientnet_b3,70.760,29.240,89.850,10.150,12.23,300,0.904,bicubic,-10.734,-5.866,-2
tf_efficientnet_b3,70.640,29.360,89.440,10.560,12.23,300,0.904,bicubic,-10.996,-6.278,-7
gluon_senet154,70.600,29.400,88.920,11.080,115.09,224,0.875,bicubic,-10.634,-6.428,-1
ssl_resnext101_32x4d,70.530,29.470,89.760,10.240,44.18,224,0.875,bilinear,-10.394,-5.968,+4
gluon_seresnext101_64x4d,70.430,29.570,89.350,10.650,88.23,224,0.875,bicubic,-10.464,-5.958,+5
tf_efficientnet_lite4,70.430,29.570,89.110,10.890,13.01,380,0.920,bilinear,-11.106,-6.558,-8
resnest50d,70.410,29.590,88.760,11.240,27.48,224,0.875,bilinear,-10.564,-6.618,0
resnest50d_1s4x24d,70.400,29.600,89.220,10.780,25.68,224,0.875,bicubic,-10.588,-6.102,-2
vit_large_patch32_384,70.860,29.140,90.570,9.430,306.63,384,1.000,bicubic,-10.646,-5.522,-1
rexnet_200,70.840,29.160,89.700,10.300,16.37,224,0.875,bicubic,-10.792,-5.968,-5
tresnet_l,70.840,29.160,89.630,10.370,55.99,224,0.875,bilinear,-10.650,-5.994,-2
tf_efficientnet_b3,70.640,29.360,89.440,10.560,12.23,300,0.904,bicubic,-10.996,-6.278,-8
gluon_senet154,70.600,29.400,88.920,11.080,115.09,224,0.875,bicubic,-10.634,-6.428,+1
ssl_resnext101_32x4d,70.530,29.470,89.760,10.240,44.18,224,0.875,bilinear,-10.394,-5.968,+6
legacy_senet154,70.500,29.500,89.010,10.990,115.09,224,0.875,bilinear,-10.810,-6.486,-3
gluon_seresnext101_64x4d,70.430,29.570,89.350,10.650,88.23,224,0.875,bicubic,-10.464,-5.958,+6
tf_efficientnet_lite4,70.430,29.570,89.110,10.890,13.01,380,0.920,bilinear,-11.106,-6.558,-10
resnest50d,70.410,29.590,88.760,11.240,27.48,224,0.875,bilinear,-10.564,-6.618,+1
resnest50d_1s4x24d,70.400,29.600,89.220,10.780,25.68,224,0.875,bicubic,-10.588,-6.102,-1
seresnext50_32x4d,70.400,29.600,89.110,10.890,27.56,224,0.875,bicubic,-10.866,-6.510,-7
gluon_resnet152_v1s,70.290,29.710,88.850,11.150,60.32,224,0.875,bicubic,-10.726,-6.562,-4
ecaresnet101d_pruned,70.130,29.870,89.590,10.410,24.88,224,0.875,bicubic,-10.688,-6.038,+2
inception_resnet_v2,70.120,29.880,88.700,11.300,55.84,299,0.897,bicubic,-10.338,-6.606,+10
inception_resnet_v2,70.120,29.880,88.700,11.300,55.84,299,0.897,bicubic,-10.338,-6.606,+11
gluon_seresnext101_32x4d,70.010,29.990,88.900,11.100,48.96,224,0.875,bicubic,-10.894,-6.394,-3
regnety_320,70.000,30.000,88.890,11.110,145.05,224,0.875,bicubic,-10.812,-6.354,0
gluon_resnet152_v1d,69.960,30.040,88.490,11.510,60.21,224,0.875,bicubic,-10.514,-6.716,+5
gluon_resnet152_v1d,69.960,30.040,88.490,11.510,60.21,224,0.875,bicubic,-10.514,-6.716,+6
ecaresnet50d,69.840,30.160,89.400,10.600,25.58,224,0.875,bicubic,-10.752,-5.920,+2
ssl_resnext50_32x4d,69.710,30.290,89.440,10.560,25.03,224,0.875,bilinear,-10.608,-5.966,+11
ssl_resnext50_32x4d,69.710,30.290,89.440,10.560,25.03,224,0.875,bilinear,-10.608,-5.966,+12
gluon_resnext101_64x4d,69.680,30.320,88.270,11.730,83.46,224,0.875,bicubic,-10.924,-6.718,-1
tresnet_m,69.660,30.340,87.990,12.010,31.39,224,0.875,bilinear,-11.142,-6.870,-4
efficientnet_b3_pruned,69.580,30.420,88.980,11.020,9.86,300,0.904,bicubic,-11.278,-6.262,-8
ens_adv_inception_resnet_v2,69.520,30.480,88.510,11.490,55.84,299,0.897,bicubic,-10.462,-6.426,+21
ens_adv_inception_resnet_v2,69.520,30.480,88.510,11.490,55.84,299,0.897,bicubic,-10.462,-6.426,+23
efficientnet_b2a,69.500,30.500,88.680,11.320,9.11,288,1.000,bicubic,-11.112,-6.638,-6
rexnet_150,69.470,30.530,88.980,11.020,9.73,224,0.875,bicubic,-10.840,-6.186,+6
regnetx_320,69.440,30.560,88.270,11.730,107.81,224,0.875,bicubic,-10.806,-6.756,+10
inception_v4,69.360,30.640,88.780,11.220,42.68,299,0.875,bicubic,-10.808,-6.188,+10
ecaresnetlight,69.340,30.660,89.220,10.780,30.16,224,0.875,bicubic,-11.122,-6.030,-5
rexnet_150,69.470,30.530,88.980,11.020,9.73,224,0.875,bicubic,-10.840,-6.186,+7
regnetx_320,69.440,30.560,88.270,11.730,107.81,224,0.875,bicubic,-10.806,-6.756,+11
inception_v4,69.360,30.640,88.780,11.220,42.68,299,0.875,bicubic,-10.808,-6.188,+12
legacy_seresnext101_32x4d,69.360,30.640,88.070,11.930,48.96,224,0.875,bilinear,-10.868,-6.948,+10
ecaresnetlight,69.340,30.660,89.220,10.780,30.16,224,0.875,bicubic,-11.122,-6.028,-5
resnet50d,69.330,30.670,88.220,11.780,25.58,224,0.875,bicubic,-11.200,-6.940,-9
xception71,69.320,30.680,88.260,11.740,42.34,299,0.903,bicubic,-10.554,-6.662,+20
gluon_xception65,69.160,30.840,88.090,11.910,39.92,299,0.903,bicubic,-10.556,-6.770,+26
gluon_resnet152_v1c,69.140,30.860,87.870,12.130,60.21,224,0.875,bicubic,-10.770,-6.970,+16
mixnet_xl,69.100,30.900,88.310,11.690,11.90,224,0.875,bicubic,-11.376,-6.626,-11
gluon_resnet101_v1d,69.010,30.990,88.100,11.900,44.57,224,0.875,bicubic,-11.404,-6.914,-7
xception65,68.980,31.020,88.480,11.520,39.92,299,0.903,bicubic,-10.572,-6.174,+26
seresnet50,68.980,31.020,88.710,11.290,28.09,224,0.875,bicubic,-11.294,-6.360,+1
efficientnet_b2,68.970,31.030,88.630,11.370,9.11,260,0.875,bicubic,-11.422,-6.446,-9
regnety_160,68.970,31.030,88.270,11.730,83.59,224,0.875,bicubic,-11.326,-6.692,-3
gluon_resnext101_32x4d,68.960,31.040,88.360,11.640,44.18,224,0.875,bicubic,-11.374,-6.566,-9
tf_efficientnet_b2_ap,68.920,31.080,88.350,11.650,9.11,260,0.890,bicubic,-11.380,-6.678,-6
mixnet_xl,69.100,30.900,88.310,11.690,11.90,224,0.875,bicubic,-11.376,-6.626,-12
gluon_resnet101_v1d,69.010,30.990,88.100,11.900,44.57,224,0.875,bicubic,-11.404,-6.914,-8
seresnet50,68.980,31.020,88.710,11.290,28.09,224,0.875,bicubic,-11.294,-6.360,0
xception65,68.980,31.020,88.480,11.520,39.92,299,0.903,bicubic,-10.572,-6.174,+27
efficientnet_b2,68.970,31.030,88.630,11.370,9.11,260,0.875,bicubic,-11.422,-6.446,-10
regnety_160,68.970,31.030,88.270,11.730,83.59,224,0.875,bicubic,-11.326,-6.692,-4
gluon_resnext101_32x4d,68.960,31.040,88.360,11.640,44.18,224,0.875,bicubic,-11.374,-6.566,-10
tf_efficientnet_b2_ap,68.920,31.080,88.350,11.650,9.11,260,0.890,bicubic,-11.380,-6.678,-7
cspdarknet53,68.890,31.110,88.600,11.400,27.64,256,0.887,bilinear,-11.168,-6.484,+1
regnety_120,68.850,31.150,88.330,11.670,51.82,224,0.875,bicubic,-11.516,-6.796,-13
regnety_120,68.850,31.150,88.330,11.670,51.82,224,0.875,bicubic,-11.516,-6.796,-14
gluon_resnet152_v1b,68.820,31.180,87.710,12.290,60.19,224,0.875,bicubic,-10.866,-7.026,+15
dpn131,68.770,31.230,87.470,12.530,79.25,224,0.875,bicubic,-11.052,-7.240,+8
cspresnext50,68.760,31.240,87.950,12.050,20.57,224,0.875,bilinear,-11.280,-6.994,-2
tf_efficientnet_b2,68.750,31.250,87.990,12.010,9.11,260,0.890,bicubic,-11.336,-6.918,-5
resnext50d_32x4d,68.740,31.260,88.300,11.700,25.05,224,0.875,bicubic,-10.936,-6.566,+12
gluon_resnet101_v1s,68.710,31.290,87.910,12.090,44.67,224,0.875,bicubic,-11.592,-7.250,-15
gluon_resnet101_v1s,68.710,31.290,87.910,12.090,44.67,224,0.875,bicubic,-11.592,-7.250,-16
regnety_080,68.700,31.300,87.970,12.030,39.18,224,0.875,bicubic,-11.176,-6.860,0
dpn107,68.690,31.310,88.130,11.870,86.92,224,0.875,bicubic,-11.466,-6.780,-11
gluon_seresnext50_32x4d,68.670,31.330,88.310,11.690,27.56,224,0.875,bicubic,-11.248,-6.512,-5
hrnet_w64,68.640,31.360,88.050,11.950,128.06,224,0.875,bilinear,-10.834,-6.602,+13
hrnet_w64,68.640,31.360,88.050,11.950,128.06,224,0.875,bilinear,-10.834,-6.602,+14
resnext50_32x4d,68.640,31.360,87.570,12.430,25.03,224,0.875,bicubic,-11.128,-7.028,+1
dpn98,68.590,31.410,87.680,12.320,61.57,224,0.875,bicubic,-11.052,-6.918,+6
regnetx_160,68.530,31.470,88.450,11.550,54.28,224,0.875,bicubic,-11.326,-6.380,-4
cspresnet50,68.460,31.540,88.010,11.990,21.62,256,0.887,bilinear,-11.114,-6.702,+6
rexnet_130,68.450,31.550,88.040,11.960,7.56,224,0.875,bicubic,-11.050,-6.642,+8
ecaresnet50d_pruned,68.420,31.580,88.370,11.630,19.94,224,0.875,bicubic,-11.296,-6.510,-1
regnety_064,68.420,31.580,88.080,11.920,30.58,224,0.875,bicubic,-11.302,-6.688,-3
ssl_resnet50,68.410,31.590,88.560,11.440,25.56,224,0.875,bilinear,-10.812,-6.272,+16
skresnext50_32x4d,68.350,31.650,87.570,12.430,27.48,224,0.875,bicubic,-11.806,-7.072,-20
ecaresnet50d_pruned,68.420,31.580,88.370,11.630,19.94,224,0.875,bicubic,-11.296,-6.510,-2
regnety_064,68.420,31.580,88.080,11.920,30.58,224,0.875,bicubic,-11.302,-6.688,-4
ssl_resnet50,68.410,31.590,88.560,11.440,25.56,224,0.875,bilinear,-10.812,-6.272,+18
skresnext50_32x4d,68.350,31.650,87.570,12.430,27.48,224,0.875,bicubic,-11.806,-7.072,-21
dla102x2,68.330,31.670,87.890,12.110,41.28,224,0.875,bilinear,-11.118,-6.750,+5
efficientnet_b2_pruned,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.756,-15
efficientnet_b2_pruned,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.756,-16
gluon_resnext50_32x4d,68.310,31.690,87.300,12.700,25.03,224,0.875,bicubic,-11.044,-7.126,+4
tf_efficientnet_lite3,68.230,31.770,87.740,12.260,8.20,300,0.904,bilinear,-11.590,-7.174,-11
ese_vovnet39b,68.210,31.790,88.240,11.760,24.57,224,0.875,bicubic,-11.110,-6.472,+3
tf_efficientnet_el,68.180,31.820,88.350,11.650,10.59,300,0.904,bicubic,-12.260,-6.814,-40
regnetx_120,68.150,31.850,87.660,12.340,46.11,224,0.875,bicubic,-11.446,-7.078,-6
dpn92,67.990,32.010,87.580,12.420,37.67,224,0.875,bicubic,-12.018,-7.256,-24
gluon_resnet50_v1d,67.940,32.060,87.130,12.870,25.58,224,0.875,bicubic,-11.134,-7.340,+12
regnetx_080,67.880,32.120,86.990,13.010,39.57,224,0.875,bicubic,-11.314,-7.570,+10
resnext101_32x8d,67.860,32.140,87.490,12.510,88.79,224,0.875,bilinear,-11.448,-7.028,-2
hrnet_w48,67.770,32.230,87.420,12.580,77.47,224,0.875,bilinear,-11.530,-7.092,0
hrnet_w44,67.740,32.260,87.560,12.440,67.06,224,0.875,bilinear,-11.156,-6.808,+14
tf_efficientnet_b0_ns,67.710,32.290,88.070,11.930,5.29,224,0.875,bicubic,-10.948,-6.306,+23
tf_efficientnet_lite3,68.230,31.770,87.740,12.260,8.20,300,0.904,bilinear,-11.590,-7.174,-12
ese_vovnet39b,68.210,31.790,88.250,11.750,24.57,224,0.875,bicubic,-11.110,-6.462,+4
tf_efficientnet_el,68.180,31.820,88.350,11.650,10.59,300,0.904,bicubic,-12.260,-6.814,-42
regnetx_120,68.150,31.850,87.660,12.340,46.11,224,0.875,bicubic,-11.446,-7.078,-7
dpn92,67.990,32.010,87.580,12.420,37.67,224,0.875,bicubic,-12.018,-7.256,-25
gluon_resnet50_v1d,67.940,32.060,87.130,12.870,25.58,224,0.875,bicubic,-11.134,-7.340,+15
regnetx_080,67.880,32.120,86.990,13.010,39.57,224,0.875,bicubic,-11.314,-7.570,+12
resnext101_32x8d,67.860,32.140,87.490,12.510,88.79,224,0.875,bilinear,-11.448,-7.028,-1
efficientnet_em,67.840,32.160,88.120,11.880,6.90,240,0.882,bicubic,-11.412,-6.674,+4
legacy_seresnext50_32x4d,67.840,32.160,87.620,12.380,27.56,224,0.875,bilinear,-11.238,-6.816,+10
hrnet_w48,67.770,32.230,87.420,12.580,77.47,224,0.875,bilinear,-11.530,-7.092,-1
hrnet_w44,67.740,32.260,87.560,12.440,67.06,224,0.875,bilinear,-11.156,-6.808,+15
tf_efficientnet_b0_ns,67.710,32.290,88.070,11.930,5.29,224,0.875,bicubic,-10.948,-6.306,+24
vit_base_patch16_224,67.700,32.300,87.660,12.340,86.54,224,0.900,bicubic,-11.648,-6.852,-9
regnetx_064,67.680,32.320,87.520,12.480,26.21,224,0.875,bicubic,-11.392,-6.938,+7
xception,67.650,32.350,87.570,12.430,22.86,299,0.897,bicubic,-11.402,-6.822,+7
dpn68b,67.630,32.370,87.660,12.340,12.61,224,0.875,bicubic,-11.586,-6.754,0
dla169,67.610,32.390,87.590,12.410,53.39,224,0.875,bilinear,-11.078,-6.746,+18
gluon_inception_v3,67.590,32.410,87.470,12.530,23.83,299,0.875,bicubic,-11.216,-6.900,+12
regnety_040,67.580,32.420,87.510,12.490,20.65,224,0.875,bicubic,-11.640,-7.146,-5
gluon_resnet101_v1c,67.580,32.420,87.180,12.820,44.57,224,0.875,bicubic,-11.954,-7.398,-17
res2net50_26w_8s,67.570,32.430,87.280,12.720,48.40,224,0.875,bilinear,-11.628,-7.088,-4
dpn68b,67.630,32.370,87.660,12.340,12.61,224,0.875,bicubic,-11.586,-6.754,-1
dla169,67.610,32.390,87.590,12.410,53.39,224,0.875,bilinear,-11.078,-6.746,+17
gluon_inception_v3,67.590,32.410,87.470,12.530,23.83,299,0.875,bicubic,-11.216,-6.900,+11
gluon_resnet101_v1c,67.580,32.420,87.180,12.820,44.57,224,0.875,bicubic,-11.954,-7.398,-20
regnety_040,67.580,32.420,87.510,12.490,20.65,224,0.875,bicubic,-11.640,-7.146,-6
res2net50_26w_8s,67.570,32.430,87.280,12.720,48.40,224,0.875,bilinear,-11.628,-7.152,-4
hrnet_w40,67.560,32.440,87.140,12.860,57.56,224,0.875,bilinear,-11.360,-7.330,+3
tf_efficientnet_b1_ap,67.520,32.480,87.760,12.240,7.79,240,0.882,bicubic,-11.760,-6.546,-10
gluon_resnet101_v1b,67.460,32.540,87.240,12.760,44.55,224,0.875,bicubic,-11.846,-7.284,-14
tf_efficientnet_cc_b1_8e,67.450,32.550,87.310,12.690,39.72,240,0.882,bicubic,-11.858,-7.060,-16
res2net101_26w_4s,67.440,32.560,87.010,12.990,45.21,224,0.875,bilinear,-11.758,-7.422,-8
resnet50,67.440,32.560,87.420,12.580,25.56,224,0.875,bicubic,-11.598,-6.970,-4
resnetblur50,67.430,32.570,87.440,12.560,25.56,224,0.875,bicubic,-11.856,-7.198,-16
regnety_032,67.400,32.600,87.270,12.730,19.44,224,0.875,bicubic,-11.486,-7.142,-2
legacy_seresnet152,67.520,32.480,87.390,12.610,66.82,224,0.875,bilinear,-11.140,-6.980,+12
tf_efficientnet_b1_ap,67.520,32.480,87.760,12.240,7.79,240,0.882,bicubic,-11.760,-6.546,-13
gluon_resnet101_v1b,67.460,32.540,87.240,12.760,44.55,224,0.875,bicubic,-11.846,-7.284,-17
tf_efficientnet_cc_b1_8e,67.450,32.550,87.310,12.690,39.72,240,0.882,bicubic,-11.858,-7.060,-19
res2net101_26w_4s,67.440,32.560,87.010,12.990,45.21,224,0.875,bilinear,-11.758,-7.358,-11
resnet50,67.440,32.560,87.420,12.580,25.56,224,0.875,bicubic,-11.598,-6.970,-5
resnetblur50,67.430,32.570,87.440,12.560,25.56,224,0.875,bicubic,-11.856,-7.198,-19
regnetx_032,67.290,32.710,87.000,13.000,15.30,224,0.875,bicubic,-10.882,-7.088,+22
xception41,67.250,32.750,87.200,12.800,26.97,299,0.903,bicubic,-11.266,-7.078,+7
resnest26d,67.200,32.800,87.170,12.830,17.07,224,0.875,bilinear,-11.278,-7.128,+9
efficientnet_b1,67.170,32.830,87.150,12.850,7.79,240,0.875,bicubic,-11.528,-6.994,+1
dla60x,67.100,32.900,87.190,12.810,17.35,224,0.875,bilinear,-11.146,-6.828,+14
gluon_resnet50_v1s,67.060,32.940,86.860,13.140,25.68,224,0.875,bicubic,-11.652,-7.378,-3
resnet152,67.050,32.950,87.550,12.450,60.19,224,0.875,bilinear,-11.262,-6.488,+11
dla60_res2net,67.020,32.980,87.160,12.840,20.85,224,0.875,bilinear,-11.444,-7.046,+6
dla102x,67.010,32.990,86.770,13.230,26.31,224,0.875,bilinear,-11.500,-7.458,+1
mixnet_l,66.940,33.060,86.910,13.090,7.33,224,0.875,bicubic,-12.036,-7.272,-15
res2net50_26w_6s,66.910,33.090,86.860,13.140,37.05,224,0.875,bilinear,-11.660,-7.264,-3
efficientnet_es,66.880,33.120,86.730,13.270,5.44,224,0.875,bicubic,-11.186,-7.196,+13
tf_efficientnet_b1,66.880,33.120,87.010,12.990,7.79,240,0.882,bicubic,-11.946,-7.188,-13
tf_efficientnet_em,66.880,33.120,86.970,13.030,6.90,240,0.882,bicubic,-11.828,-7.344,-10
regnetx_040,66.840,33.160,86.730,13.270,22.12,224,0.875,bicubic,-11.642,-7.514,-4
hrnet_w30,66.780,33.220,86.800,13.200,37.71,224,0.875,bilinear,-11.426,-7.422,+6
tf_mixnet_l,66.780,33.220,86.470,13.530,7.33,224,0.875,bicubic,-11.994,-7.528,-15
selecsls60b,66.760,33.240,86.530,13.470,32.77,224,0.875,bicubic,-11.652,-7.644,-1
hrnet_w32,66.750,33.250,87.300,12.700,41.23,224,0.875,bilinear,-11.700,-6.886,-4
wide_resnet101_2,66.730,33.270,87.030,12.970,126.89,224,0.875,bilinear,-12.126,-7.252,-21
wide_resnet50_2,66.650,33.350,86.800,13.200,68.88,224,0.875,bilinear,-11.828,-7.294,-9
adv_inception_v3,66.650,33.350,86.540,13.460,23.83,299,0.875,bicubic,-10.932,-7.196,+18
dla60_res2next,66.640,33.360,87.030,12.970,17.03,224,0.875,bilinear,-11.800,-7.122,-7
efficientnet_b1,67.170,32.830,87.150,12.850,7.79,240,0.875,bicubic,-11.528,-6.994,0
legacy_seresnet101,67.160,32.840,87.060,12.940,49.33,224,0.875,bilinear,-11.222,-7.204,+12
dla60x,67.100,32.900,87.190,12.810,17.35,224,0.875,bilinear,-11.146,-6.828,+13
gluon_resnet50_v1s,67.060,32.940,86.860,13.140,25.68,224,0.875,bicubic,-11.650,-7.378,-5
tv_resnet152,67.050,32.950,87.550,12.450,60.19,224,0.875,bilinear,-11.262,-6.488,+10
dla60_res2net,67.020,32.980,87.160,12.840,20.85,224,0.875,bilinear,-11.444,-7.046,+4
dla102x,67.010,32.990,86.770,13.230,26.31,224,0.875,bilinear,-11.500,-7.458,0
mixnet_l,66.940,33.060,86.910,13.090,7.33,224,0.875,bicubic,-12.036,-7.272,-16
res2net50_26w_6s,66.910,33.090,86.860,13.140,37.05,224,0.875,bilinear,-11.660,-7.264,-4
efficientnet_es,66.880,33.120,86.730,13.270,5.44,224,0.875,bicubic,-11.186,-7.196,+12
tf_efficientnet_b1,66.880,33.120,87.010,12.990,7.79,240,0.882,bicubic,-11.946,-7.188,-15
tf_efficientnet_em,66.880,33.120,86.970,13.030,6.90,240,0.882,bicubic,-11.828,-7.344,-12
regnetx_040,66.840,33.160,86.730,13.270,22.12,224,0.875,bicubic,-11.642,-7.514,-5
hrnet_w30,66.780,33.220,86.800,13.200,37.71,224,0.875,bilinear,-11.426,-7.422,+5
tf_mixnet_l,66.780,33.220,86.470,13.530,7.33,224,0.875,bicubic,-11.994,-7.528,-17
selecsls60b,66.760,33.240,86.530,13.470,32.77,224,0.875,bicubic,-11.652,-7.644,-3
hrnet_w32,66.750,33.250,87.300,12.700,41.23,224,0.875,bilinear,-11.700,-6.886,-6
wide_resnet101_2,66.730,33.270,87.030,12.970,126.89,224,0.875,bilinear,-12.126,-7.252,-23
adv_inception_v3,66.650,33.350,86.530,13.470,23.83,299,0.875,bicubic,-10.932,-7.206,+19
dla60_res2next,66.640,33.360,87.030,12.970,17.03,224,0.875,bilinear,-11.800,-7.122,-8
gluon_resnet50_v1c,66.560,33.440,86.180,13.820,25.58,224,0.875,bicubic,-11.452,-7.808,+3
dla102,66.540,33.460,86.910,13.090,33.27,224,0.875,bilinear,-11.492,-7.036,+1
tf_inception_v3,66.410,33.590,86.660,13.340,23.83,299,0.875,bicubic,-11.448,-6.978,+9
efficientnet_b0,66.290,33.710,85.960,14.040,5.29,224,0.875,bicubic,-11.408,-7.572,+9
selecsls60,66.210,33.790,86.340,13.660,30.67,224,0.875,bicubic,-11.772,-7.488,+2
tv_resnext50_32x4d,66.180,33.820,86.040,13.960,25.03,224,0.875,bilinear,-11.440,-7.656,+8
tf_efficientnet_cc_b0_8e,66.170,33.830,86.240,13.760,24.01,224,0.875,bicubic,-11.738,-7.414,+2
inception_v3,66.160,33.840,86.320,13.680,23.83,299,0.875,bicubic,-11.280,-7.156,+12
res2net50_26w_4s,66.140,33.860,86.600,13.400,25.70,224,0.875,bilinear,-11.824,-7.254,-1
efficientnet_b1_pruned,66.090,33.910,86.570,13.430,6.33,240,0.882,bicubic,-12.146,-7.264,-12
gluon_resnet50_v1b,66.070,33.930,86.260,13.740,25.56,224,0.875,bicubic,-11.510,-7.456,+6
tf_inception_v3,66.410,33.590,86.660,13.340,23.83,299,0.875,bicubic,-11.452,-6.980,+8
efficientnet_b0,66.290,33.710,85.960,14.040,5.29,224,0.875,bicubic,-11.408,-7.572,+10
legacy_seresnet50,66.250,33.750,86.330,13.670,28.09,224,0.875,bilinear,-11.380,-7.418,+10
selecsls60,66.210,33.790,86.340,13.660,30.67,224,0.875,bicubic,-11.772,-7.488,+1
tv_resnext50_32x4d,66.180,33.820,86.040,13.960,25.03,224,0.875,bilinear,-11.440,-7.656,+9
tf_efficientnet_cc_b0_8e,66.170,33.830,86.240,13.760,24.01,224,0.875,bicubic,-11.738,-7.414,+1
inception_v3,66.150,33.850,86.330,13.670,23.83,299,0.875,bicubic,-11.288,-7.146,+13
res2net50_26w_4s,66.140,33.860,86.600,13.400,25.70,224,0.875,bilinear,-11.824,-7.254,-2
efficientnet_b1_pruned,66.090,33.910,86.570,13.430,6.33,240,0.882,bicubic,-12.146,-7.264,-13
gluon_resnet50_v1b,66.070,33.930,86.260,13.740,25.56,224,0.875,bicubic,-11.510,-7.456,+7
rexnet_100,66.070,33.930,86.490,13.510,4.80,224,0.875,bicubic,-11.788,-7.380,-1
regnety_016,66.060,33.940,86.380,13.620,11.20,224,0.875,bicubic,-11.802,-7.340,-3
res2net50_14w_8s,66.020,33.980,86.250,13.750,25.06,224,0.875,bilinear,-12.130,-7.598,-13
seresnext26tn_32x4d,65.880,34.120,85.680,14.320,16.81,224,0.875,bicubic,-12.106,-8.066,-9
res2next50,65.850,34.150,85.840,14.160,24.67,224,0.875,bilinear,-12.396,-8.052,-19
densenet161,65.840,34.160,86.450,13.550,28.68,224,0.875,bicubic,-11.518,-7.188,+5
skresnet34,65.750,34.250,85.960,14.040,22.28,224,0.875,bicubic,-11.162,-7.362,+15
resnet101,65.690,34.310,85.980,14.020,44.55,224,0.875,bilinear,-11.684,-7.560,+2
selecsls42b,65.610,34.390,85.810,14.190,32.46,224,0.875,bicubic,-11.564,-7.580,+8
seresnext26t_32x4d,65.600,34.400,86.080,13.920,16.82,224,0.875,bicubic,-12.398,-7.628,-16
tf_efficientnet_b0_ap,65.490,34.510,85.580,14.420,5.29,224,0.875,bicubic,-11.596,-7.676,+7
seresnext26d_32x4d,65.410,34.590,85.970,14.030,16.81,224,0.875,bicubic,-12.192,-7.638,-8
tf_efficientnet_lite2,65.380,34.620,85.990,14.010,6.09,260,0.890,bicubic,-12.088,-7.764,-5
res2net50_48w_2s,65.350,34.650,85.960,14.040,25.29,224,0.875,bilinear,-12.172,-7.594,-7
densenet201,65.290,34.710,85.690,14.310,20.01,224,0.875,bicubic,-11.996,-7.788,-2
densenetblur121d,65.280,34.720,85.710,14.290,8.00,224,0.875,bicubic,-11.308,-7.482,+12
tf_efficientnet_es,65.220,34.780,85.550,14.450,5.44,224,0.875,bicubic,-12.038,-8.044,-1
dla60,65.200,34.800,85.760,14.240,22.04,224,0.875,bilinear,-11.832,-7.558,+1
ese_vovnet19b_dw,65.190,34.810,85.470,14.530,6.54,224,0.875,bicubic,-11.608,-7.798,+5
tf_efficientnet_cc_b0_4e,65.150,34.850,85.160,14.840,13.31,224,0.875,bicubic,-12.156,-8.174,-8
mobilenetv2_120d,65.030,34.970,85.960,14.040,5.83,224,0.875,bicubic,-12.254,-7.532,-7
regnety_016,66.060,33.940,86.380,13.620,11.20,224,0.875,bicubic,-11.802,-7.340,-4
res2net50_14w_8s,66.020,33.980,86.250,13.750,25.06,224,0.875,bilinear,-12.130,-7.598,-14
seresnext26tn_32x4d,65.880,34.120,85.680,14.320,16.81,224,0.875,bicubic,-12.106,-8.066,-10
res2next50,65.850,34.150,85.840,14.160,24.67,224,0.875,bilinear,-12.396,-8.052,-20
densenet161,65.840,34.160,86.450,13.550,28.68,224,0.875,bicubic,-11.518,-7.188,+6
resnet34d,65.780,34.220,86.720,13.280,21.82,224,0.875,bicubic,-11.336,-6.662,+12
skresnet34,65.750,34.250,85.960,14.040,22.28,224,0.875,bicubic,-11.162,-7.362,+17
vit_small_patch16_224,65.740,34.260,86.120,13.880,48.75,224,0.900,bicubic,-12.118,-7.296,-8
tv_resnet101,65.690,34.310,85.980,14.020,44.55,224,0.875,bilinear,-11.684,-7.560,+1
selecsls42b,65.610,34.390,85.810,14.190,32.46,224,0.875,bicubic,-11.564,-7.580,+7
seresnext26t_32x4d,65.600,34.400,86.080,13.920,16.82,224,0.875,bicubic,-12.398,-7.628,-19
tf_efficientnet_b0_ap,65.490,34.510,85.580,14.420,5.29,224,0.875,bicubic,-11.596,-7.676,+8
seresnext26d_32x4d,65.410,34.590,85.970,14.030,16.81,224,0.875,bicubic,-12.192,-7.638,-9
tf_efficientnet_lite2,65.380,34.620,85.990,14.010,6.09,260,0.890,bicubic,-12.088,-7.764,-6
res2net50_48w_2s,65.350,34.650,85.960,14.040,25.29,224,0.875,bilinear,-12.172,-7.594,-8
densenet201,65.290,34.710,85.690,14.310,20.01,224,0.875,bicubic,-11.996,-7.788,-3
densenetblur121d,65.280,34.720,85.710,14.290,8.00,224,0.875,bicubic,-11.308,-7.482,+13
tf_efficientnet_es,65.220,34.780,85.550,14.450,5.44,224,0.875,bicubic,-12.038,-8.044,-2
dla60,65.200,34.800,85.760,14.240,22.04,224,0.875,bilinear,-11.832,-7.558,+2
ese_vovnet19b_dw,65.190,34.810,85.470,14.530,6.54,224,0.875,bicubic,-11.608,-7.798,+6
tf_efficientnet_cc_b0_4e,65.150,34.850,85.160,14.840,13.31,224,0.875,bicubic,-12.156,-8.174,-9
legacy_seresnext26_32x4d,65.050,34.950,85.660,14.340,16.79,224,0.875,bicubic,-12.054,-7.656,-3
mobilenetv2_120d,65.030,34.970,85.960,14.040,5.83,224,0.875,bicubic,-12.254,-7.532,-9
hrnet_w18,64.920,35.080,85.740,14.260,21.30,224,0.875,bilinear,-11.838,-7.704,+3
densenet169,64.760,35.240,85.240,14.760,14.15,224,0.875,bicubic,-11.146,-7.786,+11
mixnet_m,64.700,35.300,85.450,14.550,5.01,224,0.875,bicubic,-12.560,-7.974,-9
mixnet_m,64.700,35.300,85.450,14.550,5.01,224,0.875,bicubic,-12.560,-7.974,-11
resnet26d,64.680,35.320,85.120,14.880,16.01,224,0.875,bicubic,-12.016,-8.030,+1
regnetx_016,64.380,35.620,85.470,14.530,9.19,224,0.875,bicubic,-12.570,-7.950,-6
tf_efficientnet_lite1,64.380,35.620,85.470,14.530,5.42,240,0.882,bicubic,-12.262,-7.756,0
@ -197,8 +215,8 @@ dpn68,64.230,35.770,85.180,14.820,12.61,224,0.875,bicubic,-12.088,-7.798,0
regnety_008,64.160,35.840,85.270,14.730,6.26,224,0.875,bicubic,-12.156,-7.796,0
mobilenetv2_140,64.060,35.940,85.040,14.960,6.11,224,0.875,bicubic,-12.456,-7.956,-3
densenet121,63.750,36.250,84.590,15.410,7.98,224,0.875,bicubic,-11.828,-8.062,+5
resnest14d,63.590,36.410,84.250,15.750,10.61,224,0.875,bilinear,-11.916,-8.268,+6
tf_mixnet_s,63.560,36.440,84.270,15.730,4.13,224,0.875,bicubic,-12.090,-8.358,+1
resnest14d,63.590,36.410,84.250,15.750,10.61,224,0.875,bilinear,-11.914,-8.268,+6
tf_mixnet_s,63.560,36.440,84.270,15.730,4.13,224,0.875,bicubic,-12.090,-8.360,+1
resnet26,63.470,36.530,84.260,15.740,16.00,224,0.875,bicubic,-11.822,-8.310,+7
mixnet_s,63.390,36.610,84.740,15.260,4.13,224,0.875,bicubic,-12.602,-8.056,-4
mobilenetv3_large_100,63.360,36.640,84.090,15.910,5.48,224,0.875,bicubic,-12.406,-8.452,-3
@ -207,17 +225,18 @@ efficientnet_lite0,63.240,36.760,84.440,15.560,4.65,224,0.875,bicubic,-12.244,-8
mobilenetv3_rw,63.220,36.780,84.510,15.490,5.48,224,0.875,bicubic,-12.414,-8.198,-4
semnasnet_100,63.150,36.850,84.520,15.480,3.89,224,0.875,bicubic,-12.298,-8.084,0
regnety_006,63.110,36.890,84.250,15.750,6.06,224,0.875,bicubic,-12.136,-8.282,+1
tv_densenet121,62.940,37.060,84.250,15.750,7.98,224,0.875,bicubic,-11.798,-7.900,+7
tv_densenet121,62.940,37.060,84.250,15.750,7.98,224,0.875,bicubic,-11.798,-7.900,+8
resnet34,62.870,37.130,84.140,15.860,21.80,224,0.875,bilinear,-12.240,-8.144,+2
mobilenetv2_110d,62.830,37.170,84.500,15.500,4.52,224,0.875,bicubic,-12.206,-7.686,+3
hrnet_w18_small_v2,62.800,37.200,83.980,16.020,15.60,224,0.875,bilinear,-12.314,-8.436,-1
legacy_seresnet34,62.850,37.150,84.210,15.790,21.96,224,0.875,bilinear,-11.958,-7.914,+5
mobilenetv2_110d,62.830,37.170,84.500,15.500,4.52,224,0.875,bicubic,-12.206,-7.686,+2
hrnet_w18_small_v2,62.800,37.200,83.980,16.020,15.60,224,0.875,bilinear,-12.314,-8.436,-2
swsl_resnet18,62.760,37.240,84.300,15.700,11.69,224,0.875,bilinear,-10.516,-7.434,+12
gluon_resnet34_v1b,62.570,37.430,83.990,16.010,21.80,224,0.875,bicubic,-12.018,-8.000,+5
tf_efficientnet_lite0,62.550,37.450,84.220,15.780,4.65,224,0.875,bicubic,-12.280,-7.956,0
regnetx_008,62.490,37.510,84.020,15.980,7.26,224,0.875,bicubic,-12.548,-8.316,-3
tf_efficientnet_lite0,62.550,37.450,84.220,15.780,4.65,224,0.875,bicubic,-12.280,-7.956,-1
regnetx_008,62.490,37.510,84.020,15.980,7.26,224,0.875,bicubic,-12.548,-8.316,-4
dla34,62.480,37.520,83.910,16.090,15.74,224,0.875,bilinear,-12.150,-8.168,+1
tf_mobilenetv3_large_100,62.460,37.540,83.970,16.030,5.48,224,0.875,bilinear,-13.058,-8.636,-14
fbnetc_100,62.440,37.560,83.380,16.620,5.57,224,0.875,bilinear,-12.684,-9.006,-9
tf_mobilenetv3_large_100,62.460,37.540,83.970,16.030,5.48,224,0.875,bilinear,-13.058,-8.636,-15
fbnetc_100,62.440,37.560,83.380,16.620,5.57,224,0.875,bilinear,-12.684,-9.006,-10
mnasnet_100,61.900,38.100,83.710,16.290,4.38,224,0.875,bicubic,-12.758,-8.404,-3
regnety_004,61.870,38.130,83.430,16.570,4.34,224,0.875,bicubic,-12.164,-8.322,0
ssl_resnet18,61.480,38.520,83.300,16.700,11.69,224,0.875,bilinear,-11.130,-8.116,+6
@ -227,9 +246,11 @@ tv_resnet34,61.190,38.810,82.710,17.290,21.80,224,0.875,bilinear,-12.122,-8.716,
skresnet18,60.860,39.140,82.880,17.120,11.96,224,0.875,bicubic,-12.178,-8.288,0
tf_mobilenetv3_large_075,60.400,39.600,81.950,18.050,3.99,224,0.875,bilinear,-13.038,-9.400,-4
mobilenetv2_100,60.190,39.810,82.240,17.760,3.50,224,0.875,bicubic,-12.780,-8.776,-1
regnetx_004,59.410,40.590,81.690,18.310,5.16,224,0.875,bicubic,-12.986,-9.140,0
tf_mobilenetv3_large_minimal_100,59.070,40.930,81.150,18.850,3.92,224,0.875,bilinear,-13.178,-9.480,+1
hrnet_w18_small,58.950,41.050,81.340,18.660,13.19,224,0.875,bilinear,-13.392,-9.338,-1
resnet18d,60.160,39.840,82.300,17.700,11.71,224,0.875,bicubic,-12.100,-8.396,+2
legacy_seresnet18,59.800,40.200,81.690,18.310,11.78,224,0.875,bicubic,-11.942,-8.644,+3
regnetx_004,59.410,40.590,81.690,18.310,5.16,224,0.875,bicubic,-12.986,-9.140,-2
tf_mobilenetv3_large_minimal_100,59.070,40.930,81.150,18.850,3.92,224,0.875,bilinear,-13.178,-9.480,0
hrnet_w18_small,58.950,41.050,81.340,18.660,13.19,224,0.875,bilinear,-13.392,-9.338,-3
gluon_resnet18_v1b,58.340,41.660,80.970,19.030,11.69,224,0.875,bicubic,-12.496,-8.792,0
resnet18,57.170,42.830,80.200,19.800,11.69,224,0.875,bilinear,-12.578,-8.878,+1
regnety_002,57.000,43.000,79.840,20.160,3.16,224,0.875,bicubic,-13.252,-9.700,-1

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
4 tf_efficientnet_b7_ns 78.510 21.490 94.380 5.620 66.35 600 0.949 bicubic -8.330 -3.714 0
5 tf_efficientnet_b6_ns 77.280 22.720 93.890 6.110 43.04 528 0.942 bicubic -9.172 -3.992 0
6 ig_resnext101_32x48d 76.870 23.130 93.310 6.690 828.41 224 0.875 bilinear -8.558 -4.262 +1
7 ig_resnext101_32x32d 76.840 23.160 93.200 6.800 468.53 224 0.875 bilinear -8.254 -4.238 +5 +6
8 tf_efficientnet_b5_ns 76.810 23.190 93.580 6.420 30.39 456 0.934 bicubic -9.278 -4.172 -2
9 tf_efficientnet_b7_ap 76.090 23.910 92.970 7.030 66.35 600 0.949 bicubic -9.030 -4.282 +2 +3
10 tf_efficientnet_b8_ap 76.090 23.910 92.730 7.270 87.41 672 0.954 bicubic -9.280 -4.564 -1
11 ig_resnext101_32x16d 75.720 24.280 92.910 7.090 194.03 224 0.875 bilinear -8.450 -4.286 +7 +9
12 tf_efficientnet_b4_ns 75.670 24.330 93.050 6.950 19.34 380 0.922 bicubic -9.492 -4.420 -2
13 swsl_resnext101_32x8d 75.430 24.570 92.760 7.240 88.79 224 0.875 bilinear -8.854 -4.416 +3 +4
14 tf_efficientnet_b6_ap 75.380 24.620 92.440 7.560 43.04 528 0.942 bicubic -9.408 -4.698 0 +1
15 tf_efficientnet_b8 vit_large_patch16_384 74.940 75.150 25.060 24.850 92.310 92.660 7.690 7.340 87.41 304.72 672 384 0.954 1.000 bicubic -10.430 -10.008 -5.080 -4.696 -7 -4
16 tf_efficientnet_b8 74.940 25.060 92.310 7.690 87.41 672 0.954 bicubic -10.430 -5.080 -8
17 tf_efficientnet_b7 74.720 25.280 92.220 7.780 66.35 600 0.949 bicubic -10.216 -4.984 -3
18 tf_efficientnet_b5_ap 74.600 25.400 91.990 8.010 30.39 456 0.934 bicubic -9.652 -4.984 0
19 resnest200e 74.480 25.520 91.860 8.140 70.20 320 0.909 bicubic -9.352 -5.034 +3 +4
20 resnest269e 74.170 25.830 91.950 8.050 110.93 416 0.928 bicubic -10.348 -5.036 -4
21 swsl_resnext101_32x4d 74.140 25.860 91.990 8.010 44.18 224 0.875 bilinear -9.090 -4.770 +5 +6
22 vit_base_patch16_384 74.130 25.870 92.360 7.640 86.86 384 1.000 bicubic -10.080 -4.858 -3
23 swsl_resnext101_32x16d 74.020 25.980 92.160 7.840 194.03 224 0.875 bilinear -9.326 -4.686 +2
24 tf_efficientnet_b6 73.900 26.100 91.750 8.250 43.04 528 0.942 bicubic -10.210 -5.136 -3
25 tf_efficientnet_b3_ns 73.890 26.110 91.870 8.130 12.23 300 0.904 bicubic -10.158 -5.040 -3
28 tf_efficientnet_b4_ap 72.890 27.110 90.980 9.020 19.34 380 0.922 bicubic -10.358 -5.412 -2
29 pnasnet5large 72.610 27.390 90.510 9.490 86.06 331 0.911 bicubic -10.172 -5.530 +2
30 resnest101e 72.570 27.430 90.820 9.180 48.28 256 0.875 bilinear -10.320 -5.500 0
31 swsl_resnext50_32x4d 72.560 27.440 90.870 9.130 25.03 224 0.875 bilinear -9.622 -5.360 +5 +6
32 tresnet_xl_448 72.550 27.450 90.310 9.690 78.44 448 0.875 bilinear -10.500 -5.864 -4
33 tf_efficientnet_b4 72.290 27.710 90.590 9.410 19.34 380 0.922 bicubic -10.732 -5.710 -4
34 tf_efficientnet_b2_ns 72.280 27.720 91.090 8.910 9.11 260 0.890 bicubic -10.100 -5.158 0
35 nasnetalarge 72.230 27.770 90.470 9.530 88.75 331 0.911 bicubic -10.390 -5.576 -2
36 swsl_resnet50 71.700 28.300 90.500 9.500 25.56 224 0.875 bilinear -9.466 -5.472 +15 +21
37 tresnet_xl 71.660 28.340 89.630 10.370 78.44 224 0.875 bilinear -10.394 -6.306 +1 +3
38 tresnet_l_448 71.600 28.400 90.050 9.950 55.99 448 0.875 bilinear -10.668 -5.926 -3
39 ssl_resnext101_32x8d 71.500 28.500 90.460 9.540 88.79 224 0.875 bilinear -10.116 -5.578 +6 +9
40 ecaresnet101d 71.490 28.510 90.330 9.670 44.57 224 0.875 bicubic -10.682 -5.716 -3 -2
41 efficientnet_b3a 71.480 28.520 90.060 9.940 12.23 320 1.000 bicubic -10.762 -6.054 -5
42 efficientnet_b3 71.460 28.540 90.090 9.910 12.23 300 0.904 bicubic -10.616 -5.930 -3
43 ssl_resnext101_32x16d 71.410 28.590 90.560 9.440 194.03 224 0.875 bilinear -10.434 -5.536 -1
44 tresnet_m_448 vit_base_patch32_384 70.990 71.180 29.010 28.820 88.680 90.630 11.320 9.370 31.39 88.30 448 384 0.875 1.000 bilinear bicubic -10.724 -10.472 -6.892 -5.498 0 +1
45 resnest50d_4s2x40d regnety_032 70.950 71.080 29.050 28.920 89.710 90.270 10.290 9.730 30.42 19.44 224 0.875 bicubic -10.158 -10.922 -5.848 -5.636 +9 -4
46 tf_efficientnet_b3_ap tresnet_m_448 70.920 70.990 29.080 29.010 89.430 88.680 10.570 11.320 12.23 31.39 300 448 0.904 0.875 bicubic bilinear -10.902 -10.724 -6.194 -6.892 -3 -2
47 efficientnet_b3a resnest50d_4s2x40d 70.870 70.950 29.130 29.050 89.720 89.710 10.280 10.290 12.23 30.42 320 224 1.000 0.875 bicubic -10.996 -10.158 -6.116 -5.848 -6 +11
48 wide_resnet50_2 70.950 29.050 89.230 10.770 68.88 224 0.875 bicubic -10.506 -6.302 +4
49 tf_efficientnet_b3_ap 70.920 29.080 89.430 10.570 12.23 300 0.904 bicubic -10.902 -6.194 -6
50 tf_efficientnet_b1_ns 70.870 29.130 90.120 9.880 7.79 240 0.882 bicubic -10.518 -5.618 +3
51 rexnet_200 vit_large_patch32_384 70.840 70.860 29.160 29.140 89.700 90.570 10.300 9.430 16.37 306.63 224 384 0.875 1.000 bicubic -10.792 -10.646 -5.968 -5.522 -3 -1
52 tresnet_l rexnet_200 70.840 29.160 89.630 89.700 10.370 10.300 55.99 16.37 224 0.875 bilinear bicubic -10.648 -10.792 -5.994 -5.968 0 -5
53 efficientnet_b3 tresnet_l 70.760 70.840 29.240 29.160 89.850 89.630 10.150 10.370 12.23 55.99 300 224 0.904 0.875 bicubic bilinear -10.734 -10.650 -5.866 -5.994 -2
54 tf_efficientnet_b3 70.640 29.360 89.440 10.560 12.23 300 0.904 bicubic -10.996 -6.278 -7 -8
55 gluon_senet154 70.600 29.400 88.920 11.080 115.09 224 0.875 bicubic -10.634 -6.428 -1 +1
56 ssl_resnext101_32x4d 70.530 29.470 89.760 10.240 44.18 224 0.875 bilinear -10.394 -5.968 +4 +6
57 gluon_seresnext101_64x4d legacy_senet154 70.430 70.500 29.570 29.500 89.350 89.010 10.650 10.990 88.23 115.09 224 0.875 bicubic bilinear -10.464 -10.810 -5.958 -6.486 +5 -3
58 tf_efficientnet_lite4 gluon_seresnext101_64x4d 70.430 29.570 89.110 89.350 10.890 10.650 13.01 88.23 380 224 0.920 0.875 bilinear bicubic -11.106 -10.464 -6.558 -5.958 -8 +6
59 resnest50d tf_efficientnet_lite4 70.410 70.430 29.590 29.570 88.760 89.110 11.240 10.890 27.48 13.01 224 380 0.875 0.920 bilinear -10.564 -11.106 -6.618 -6.558 0 -10
60 resnest50d_1s4x24d resnest50d 70.400 70.410 29.600 29.590 89.220 88.760 10.780 11.240 25.68 27.48 224 0.875 bicubic bilinear -10.588 -10.564 -6.102 -6.618 -2 +1
61 resnest50d_1s4x24d 70.400 29.600 89.220 10.780 25.68 224 0.875 bicubic -10.588 -6.102 -1
62 seresnext50_32x4d 70.400 29.600 89.110 10.890 27.56 224 0.875 bicubic -10.866 -6.510 -7
63 gluon_resnet152_v1s 70.290 29.710 88.850 11.150 60.32 224 0.875 bicubic -10.726 -6.562 -4
64 ecaresnet101d_pruned 70.130 29.870 89.590 10.410 24.88 224 0.875 bicubic -10.688 -6.038 +2
65 inception_resnet_v2 70.120 29.880 88.700 11.300 55.84 299 0.897 bicubic -10.338 -6.606 +10 +11
66 gluon_seresnext101_32x4d 70.010 29.990 88.900 11.100 48.96 224 0.875 bicubic -10.894 -6.394 -3
67 regnety_320 70.000 30.000 88.890 11.110 145.05 224 0.875 bicubic -10.812 -6.354 0
68 gluon_resnet152_v1d 69.960 30.040 88.490 11.510 60.21 224 0.875 bicubic -10.514 -6.716 +5 +6
69 ecaresnet50d 69.840 30.160 89.400 10.600 25.58 224 0.875 bicubic -10.752 -5.920 +2
70 ssl_resnext50_32x4d 69.710 30.290 89.440 10.560 25.03 224 0.875 bilinear -10.608 -5.966 +11 +12
71 gluon_resnext101_64x4d 69.680 30.320 88.270 11.730 83.46 224 0.875 bicubic -10.924 -6.718 -1
72 tresnet_m 69.660 30.340 87.990 12.010 31.39 224 0.875 bilinear -11.142 -6.870 -4
73 efficientnet_b3_pruned 69.580 30.420 88.980 11.020 9.86 300 0.904 bicubic -11.278 -6.262 -8
74 ens_adv_inception_resnet_v2 69.520 30.480 88.510 11.490 55.84 299 0.897 bicubic -10.462 -6.426 +21 +23
75 efficientnet_b2a 69.500 30.500 88.680 11.320 9.11 288 1.000 bicubic -11.112 -6.638 -6
76 rexnet_150 69.470 30.530 88.980 11.020 9.73 224 0.875 bicubic -10.840 -6.186 +6 +7
77 regnetx_320 69.440 30.560 88.270 11.730 107.81 224 0.875 bicubic -10.806 -6.756 +10 +11
78 inception_v4 69.360 30.640 88.780 11.220 42.68 299 0.875 bicubic -10.808 -6.188 +10 +12
79 ecaresnetlight legacy_seresnext101_32x4d 69.340 69.360 30.660 30.640 89.220 88.070 10.780 11.930 30.16 48.96 224 0.875 bicubic bilinear -11.122 -10.868 -6.030 -6.948 -5 +10
80 ecaresnetlight 69.340 30.660 89.220 10.780 30.16 224 0.875 bicubic -11.122 -6.028 -5
81 resnet50d 69.330 30.670 88.220 11.780 25.58 224 0.875 bicubic -11.200 -6.940 -9
82 xception71 69.320 30.680 88.260 11.740 42.34 299 0.903 bicubic -10.554 -6.662 +20
83 gluon_xception65 69.160 30.840 88.090 11.910 39.92 299 0.903 bicubic -10.556 -6.770 +26
84 gluon_resnet152_v1c 69.140 30.860 87.870 12.130 60.21 224 0.875 bicubic -10.770 -6.970 +16
85 mixnet_xl 69.100 30.900 88.310 11.690 11.90 224 0.875 bicubic -11.376 -6.626 -11 -12
86 gluon_resnet101_v1d 69.010 30.990 88.100 11.900 44.57 224 0.875 bicubic -11.404 -6.914 -7 -8
87 xception65 seresnet50 68.980 31.020 88.480 88.710 11.520 11.290 39.92 28.09 299 224 0.903 0.875 bicubic -10.572 -11.294 -6.174 -6.360 +26 0
88 seresnet50 xception65 68.980 31.020 88.710 88.480 11.290 11.520 28.09 39.92 224 299 0.875 0.903 bicubic -11.294 -10.572 -6.360 -6.174 +1 +27
89 efficientnet_b2 68.970 31.030 88.630 11.370 9.11 260 0.875 bicubic -11.422 -6.446 -9 -10
90 regnety_160 68.970 31.030 88.270 11.730 83.59 224 0.875 bicubic -11.326 -6.692 -3 -4
91 gluon_resnext101_32x4d 68.960 31.040 88.360 11.640 44.18 224 0.875 bicubic -11.374 -6.566 -9 -10
92 tf_efficientnet_b2_ap 68.920 31.080 88.350 11.650 9.11 260 0.890 bicubic -11.380 -6.678 -6 -7
93 cspdarknet53 68.890 31.110 88.600 11.400 27.64 256 0.887 bilinear -11.168 -6.484 +1
94 regnety_120 68.850 31.150 88.330 11.670 51.82 224 0.875 bicubic -11.516 -6.796 -13 -14
95 gluon_resnet152_v1b 68.820 31.180 87.710 12.290 60.19 224 0.875 bicubic -10.866 -7.026 +15
96 dpn131 68.770 31.230 87.470 12.530 79.25 224 0.875 bicubic -11.052 -7.240 +8
97 cspresnext50 68.760 31.240 87.950 12.050 20.57 224 0.875 bilinear -11.280 -6.994 -2
98 tf_efficientnet_b2 68.750 31.250 87.990 12.010 9.11 260 0.890 bicubic -11.336 -6.918 -5
99 resnext50d_32x4d 68.740 31.260 88.300 11.700 25.05 224 0.875 bicubic -10.936 -6.566 +12
100 gluon_resnet101_v1s 68.710 31.290 87.910 12.090 44.67 224 0.875 bicubic -11.592 -7.250 -15 -16
101 regnety_080 68.700 31.300 87.970 12.030 39.18 224 0.875 bicubic -11.176 -6.860 0
102 dpn107 68.690 31.310 88.130 11.870 86.92 224 0.875 bicubic -11.466 -6.780 -11
103 gluon_seresnext50_32x4d 68.670 31.330 88.310 11.690 27.56 224 0.875 bicubic -11.248 -6.512 -5
104 hrnet_w64 68.640 31.360 88.050 11.950 128.06 224 0.875 bilinear -10.834 -6.602 +13 +14
105 resnext50_32x4d 68.640 31.360 87.570 12.430 25.03 224 0.875 bicubic -11.128 -7.028 +1
106 dpn98 68.590 31.410 87.680 12.320 61.57 224 0.875 bicubic -11.052 -6.918 +6
107 regnetx_160 68.530 31.470 88.450 11.550 54.28 224 0.875 bicubic -11.326 -6.380 -4
108 cspresnet50 68.460 31.540 88.010 11.990 21.62 256 0.887 bilinear -11.114 -6.702 +6
109 rexnet_130 68.450 31.550 88.040 11.960 7.56 224 0.875 bicubic -11.050 -6.642 +8
110 ecaresnet50d_pruned 68.420 31.580 88.370 11.630 19.94 224 0.875 bicubic -11.296 -6.510 -1 -2
111 regnety_064 68.420 31.580 88.080 11.920 30.58 224 0.875 bicubic -11.302 -6.688 -3 -4
112 ssl_resnet50 68.410 31.590 88.560 11.440 25.56 224 0.875 bilinear -10.812 -6.272 +16 +18
113 skresnext50_32x4d 68.350 31.650 87.570 12.430 27.48 224 0.875 bicubic -11.806 -7.072 -20 -21
114 dla102x2 68.330 31.670 87.890 12.110 41.28 224 0.875 bilinear -11.118 -6.750 +5
115 efficientnet_b2_pruned 68.320 31.680 88.100 11.900 8.31 260 0.890 bicubic -11.596 -6.756 -15 -16
116 gluon_resnext50_32x4d 68.310 31.690 87.300 12.700 25.03 224 0.875 bicubic -11.044 -7.126 +4
117 tf_efficientnet_lite3 68.230 31.770 87.740 12.260 8.20 300 0.904 bilinear -11.590 -7.174 -11 -12
118 ese_vovnet39b 68.210 31.790 88.240 88.250 11.760 11.750 24.57 224 0.875 bicubic -11.110 -6.472 -6.462 +3 +4
119 tf_efficientnet_el 68.180 31.820 88.350 11.650 10.59 300 0.904 bicubic -12.260 -6.814 -40 -42
120 regnetx_120 68.150 31.850 87.660 12.340 46.11 224 0.875 bicubic -11.446 -7.078 -6 -7
121 dpn92 67.990 32.010 87.580 12.420 37.67 224 0.875 bicubic -12.018 -7.256 -24 -25
122 gluon_resnet50_v1d 67.940 32.060 87.130 12.870 25.58 224 0.875 bicubic -11.134 -7.340 +12 +15
123 regnetx_080 67.880 32.120 86.990 13.010 39.57 224 0.875 bicubic -11.314 -7.570 +10 +12
124 resnext101_32x8d 67.860 32.140 87.490 12.510 88.79 224 0.875 bilinear -11.448 -7.028 -2 -1
125 hrnet_w48 efficientnet_em 67.770 67.840 32.230 32.160 87.420 88.120 12.580 11.880 77.47 6.90 224 240 0.875 0.882 bilinear bicubic -11.530 -11.412 -7.092 -6.674 0 +4
126 hrnet_w44 legacy_seresnext50_32x4d 67.740 67.840 32.260 32.160 87.560 87.620 12.440 12.380 67.06 27.56 224 0.875 bilinear -11.156 -11.238 -6.808 -6.816 +14 +10
127 tf_efficientnet_b0_ns hrnet_w48 67.710 67.770 32.290 32.230 88.070 87.420 11.930 12.580 5.29 77.47 224 0.875 bicubic bilinear -10.948 -11.530 -6.306 -7.092 +23 -1
128 hrnet_w44 67.740 32.260 87.560 12.440 67.06 224 0.875 bilinear -11.156 -6.808 +15
129 tf_efficientnet_b0_ns 67.710 32.290 88.070 11.930 5.29 224 0.875 bicubic -10.948 -6.306 +24
130 vit_base_patch16_224 67.700 32.300 87.660 12.340 86.54 224 0.900 bicubic -11.648 -6.852 -9
131 regnetx_064 67.680 32.320 87.520 12.480 26.21 224 0.875 bicubic -11.392 -6.938 +7
132 xception 67.650 32.350 87.570 12.430 22.86 299 0.897 bicubic -11.402 -6.822 +7
133 dpn68b 67.630 32.370 87.660 12.340 12.61 224 0.875 bicubic -11.586 -6.754 0 -1
134 dla169 67.610 32.390 87.590 12.410 53.39 224 0.875 bilinear -11.078 -6.746 +18 +17
135 gluon_inception_v3 67.590 32.410 87.470 12.530 23.83 299 0.875 bicubic -11.216 -6.900 +12 +11
136 regnety_040 gluon_resnet101_v1c 67.580 32.420 87.510 87.180 12.490 12.820 20.65 44.57 224 0.875 bicubic -11.640 -11.954 -7.146 -7.398 -5 -20
137 gluon_resnet101_v1c regnety_040 67.580 32.420 87.180 87.510 12.820 12.490 44.57 20.65 224 0.875 bicubic -11.954 -11.640 -7.398 -7.146 -17 -6
138 res2net50_26w_8s 67.570 32.430 87.280 12.720 48.40 224 0.875 bilinear -11.628 -7.088 -7.152 -4
139 hrnet_w40 67.560 32.440 87.140 12.860 57.56 224 0.875 bilinear -11.360 -7.330 +3
140 tf_efficientnet_b1_ap legacy_seresnet152 67.520 32.480 87.760 87.390 12.240 12.610 7.79 66.82 240 224 0.882 0.875 bicubic bilinear -11.760 -11.140 -6.546 -6.980 -10 +12
141 gluon_resnet101_v1b tf_efficientnet_b1_ap 67.460 67.520 32.540 32.480 87.240 87.760 12.760 12.240 44.55 7.79 224 240 0.875 0.882 bicubic -11.846 -11.760 -7.284 -6.546 -14 -13
142 tf_efficientnet_cc_b1_8e gluon_resnet101_v1b 67.450 67.460 32.550 32.540 87.310 87.240 12.690 12.760 39.72 44.55 240 224 0.882 0.875 bicubic -11.858 -11.846 -7.060 -7.284 -16 -17
143 res2net101_26w_4s tf_efficientnet_cc_b1_8e 67.440 67.450 32.560 32.550 87.010 87.310 12.990 12.690 45.21 39.72 224 240 0.875 0.882 bilinear bicubic -11.758 -11.858 -7.422 -7.060 -8 -19
144 resnet50 res2net101_26w_4s 67.440 32.560 87.420 87.010 12.580 12.990 25.56 45.21 224 0.875 bicubic bilinear -11.598 -11.758 -6.970 -7.358 -4 -11
145 resnetblur50 resnet50 67.430 67.440 32.570 32.560 87.440 87.420 12.560 12.580 25.56 224 0.875 bicubic -11.856 -11.598 -7.198 -6.970 -16 -5
146 regnety_032 resnetblur50 67.400 67.430 32.600 32.570 87.270 87.440 12.730 12.560 19.44 25.56 224 0.875 bicubic -11.486 -11.856 -7.142 -7.198 -2 -19
147 regnetx_032 67.290 32.710 87.000 13.000 15.30 224 0.875 bicubic -10.882 -7.088 +22
148 xception41 67.250 32.750 87.200 12.800 26.97 299 0.903 bicubic -11.266 -7.078 +7
149 resnest26d 67.200 32.800 87.170 12.830 17.07 224 0.875 bilinear -11.278 -7.128 +9
150 efficientnet_b1 67.170 32.830 87.150 12.850 7.79 240 0.875 bicubic -11.528 -6.994 +1 0
151 dla60x legacy_seresnet101 67.100 67.160 32.900 32.840 87.190 87.060 12.810 12.940 17.35 49.33 224 0.875 bilinear -11.146 -11.222 -6.828 -7.204 +14 +12
152 gluon_resnet50_v1s dla60x 67.060 67.100 32.940 32.900 86.860 87.190 13.140 12.810 25.68 17.35 224 0.875 bicubic bilinear -11.652 -11.146 -7.378 -6.828 -3 +13
153 resnet152 gluon_resnet50_v1s 67.050 67.060 32.950 32.940 87.550 86.860 12.450 13.140 60.19 25.68 224 0.875 bilinear bicubic -11.262 -11.650 -6.488 -7.378 +11 -5
154 dla60_res2net tv_resnet152 67.020 67.050 32.980 32.950 87.160 87.550 12.840 12.450 20.85 60.19 224 0.875 bilinear -11.444 -11.262 -7.046 -6.488 +6 +10
155 dla102x dla60_res2net 67.010 67.020 32.990 32.980 86.770 87.160 13.230 12.840 26.31 20.85 224 0.875 bilinear -11.500 -11.444 -7.458 -7.046 +1 +4
156 mixnet_l dla102x 66.940 67.010 33.060 32.990 86.910 86.770 13.090 13.230 7.33 26.31 224 0.875 bicubic bilinear -12.036 -11.500 -7.272 -7.458 -15 0
157 res2net50_26w_6s mixnet_l 66.910 66.940 33.090 33.060 86.860 86.910 13.140 13.090 37.05 7.33 224 0.875 bilinear bicubic -11.660 -12.036 -7.264 -7.272 -3 -16
158 efficientnet_es res2net50_26w_6s 66.880 66.910 33.120 33.090 86.730 86.860 13.270 13.140 5.44 37.05 224 0.875 bicubic bilinear -11.186 -11.660 -7.196 -7.264 +13 -4
159 tf_efficientnet_b1 efficientnet_es 66.880 33.120 87.010 86.730 12.990 13.270 7.79 5.44 240 224 0.882 0.875 bicubic -11.946 -11.186 -7.188 -7.196 -13 +12
160 tf_efficientnet_em tf_efficientnet_b1 66.880 33.120 86.970 87.010 13.030 12.990 6.90 7.79 240 0.882 bicubic -11.828 -11.946 -7.344 -7.188 -10 -15
161 regnetx_040 tf_efficientnet_em 66.840 66.880 33.160 33.120 86.730 86.970 13.270 13.030 22.12 6.90 224 240 0.875 0.882 bicubic -11.642 -11.828 -7.514 -7.344 -4 -12
162 hrnet_w30 regnetx_040 66.780 66.840 33.220 33.160 86.800 86.730 13.200 13.270 37.71 22.12 224 0.875 bilinear bicubic -11.426 -11.642 -7.422 -7.514 +6 -5
163 tf_mixnet_l hrnet_w30 66.780 33.220 86.470 86.800 13.530 13.200 7.33 37.71 224 0.875 bicubic bilinear -11.994 -11.426 -7.528 -7.422 -15 +5
164 selecsls60b tf_mixnet_l 66.760 66.780 33.240 33.220 86.530 86.470 13.470 13.530 32.77 7.33 224 0.875 bicubic -11.652 -11.994 -7.644 -7.528 -1 -17
165 hrnet_w32 selecsls60b 66.750 66.760 33.250 33.240 87.300 86.530 12.700 13.470 41.23 32.77 224 0.875 bilinear bicubic -11.700 -11.652 -6.886 -7.644 -4 -3
166 wide_resnet101_2 hrnet_w32 66.730 66.750 33.270 33.250 87.030 87.300 12.970 12.700 126.89 41.23 224 0.875 bilinear -12.126 -11.700 -7.252 -6.886 -21 -6
167 wide_resnet50_2 wide_resnet101_2 66.650 66.730 33.350 33.270 86.800 87.030 13.200 12.970 68.88 126.89 224 0.875 bilinear -11.828 -12.126 -7.294 -7.252 -9 -23
168 adv_inception_v3 66.650 33.350 86.540 86.530 13.460 13.470 23.83 299 0.875 bicubic -10.932 -7.196 -7.206 +18 +19
169 dla60_res2next 66.640 33.360 87.030 12.970 17.03 224 0.875 bilinear -11.800 -7.122 -7 -8
170 gluon_resnet50_v1c 66.560 33.440 86.180 13.820 25.58 224 0.875 bicubic -11.452 -7.808 +3
171 dla102 66.540 33.460 86.910 13.090 33.27 224 0.875 bilinear -11.492 -7.036 +1
172 tf_inception_v3 66.410 33.590 86.660 13.340 23.83 299 0.875 bicubic -11.448 -11.452 -6.978 -6.980 +9 +8
173 efficientnet_b0 66.290 33.710 85.960 14.040 5.29 224 0.875 bicubic -11.408 -7.572 +9 +10
174 selecsls60 legacy_seresnet50 66.210 66.250 33.790 33.750 86.340 86.330 13.660 13.670 30.67 28.09 224 0.875 bicubic bilinear -11.772 -11.380 -7.488 -7.418 +2 +10
175 tv_resnext50_32x4d selecsls60 66.180 66.210 33.820 33.790 86.040 86.340 13.960 13.660 25.03 30.67 224 0.875 bilinear bicubic -11.440 -11.772 -7.656 -7.488 +8 +1
176 tf_efficientnet_cc_b0_8e tv_resnext50_32x4d 66.170 66.180 33.830 33.820 86.240 86.040 13.760 13.960 24.01 25.03 224 0.875 bicubic bilinear -11.738 -11.440 -7.414 -7.656 +2 +9
177 inception_v3 tf_efficientnet_cc_b0_8e 66.160 66.170 33.840 33.830 86.320 86.240 13.680 13.760 23.83 24.01 299 224 0.875 bicubic -11.280 -11.738 -7.156 -7.414 +12 +1
178 res2net50_26w_4s inception_v3 66.140 66.150 33.860 33.850 86.600 86.330 13.400 13.670 25.70 23.83 224 299 0.875 bilinear bicubic -11.824 -11.288 -7.254 -7.146 -1 +13
179 efficientnet_b1_pruned res2net50_26w_4s 66.090 66.140 33.910 33.860 86.570 86.600 13.430 13.400 6.33 25.70 240 224 0.882 0.875 bicubic bilinear -12.146 -11.824 -7.264 -7.254 -12 -2
180 gluon_resnet50_v1b efficientnet_b1_pruned 66.070 66.090 33.930 33.910 86.260 86.570 13.740 13.430 25.56 6.33 224 240 0.875 0.882 bicubic -11.510 -12.146 -7.456 -7.264 +6 -13
181 gluon_resnet50_v1b 66.070 33.930 86.260 13.740 25.56 224 0.875 bicubic -11.510 -7.456 +7
182 rexnet_100 66.070 33.930 86.490 13.510 4.80 224 0.875 bicubic -11.788 -7.380 -1
183 regnety_016 66.060 33.940 86.380 13.620 11.20 224 0.875 bicubic -11.802 -7.340 -3 -4
184 res2net50_14w_8s 66.020 33.980 86.250 13.750 25.06 224 0.875 bilinear -12.130 -7.598 -13 -14
185 seresnext26tn_32x4d 65.880 34.120 85.680 14.320 16.81 224 0.875 bicubic -12.106 -8.066 -9 -10
186 res2next50 65.850 34.150 85.840 14.160 24.67 224 0.875 bilinear -12.396 -8.052 -19 -20
187 densenet161 65.840 34.160 86.450 13.550 28.68 224 0.875 bicubic -11.518 -7.188 +5 +6
188 skresnet34 resnet34d 65.750 65.780 34.250 34.220 85.960 86.720 14.040 13.280 22.28 21.82 224 0.875 bicubic -11.162 -11.336 -7.362 -6.662 +15 +12
189 resnet101 skresnet34 65.690 65.750 34.310 34.250 85.980 85.960 14.020 14.040 44.55 22.28 224 0.875 bilinear bicubic -11.684 -11.162 -7.560 -7.362 +2 +17
190 selecsls42b vit_small_patch16_224 65.610 65.740 34.390 34.260 85.810 86.120 14.190 13.880 32.46 48.75 224 0.875 0.900 bicubic -11.564 -12.118 -7.580 -7.296 +8 -8
191 seresnext26t_32x4d tv_resnet101 65.600 65.690 34.400 34.310 86.080 85.980 13.920 14.020 16.82 44.55 224 0.875 bicubic bilinear -12.398 -11.684 -7.628 -7.560 -16 +1
192 tf_efficientnet_b0_ap selecsls42b 65.490 65.610 34.510 34.390 85.580 85.810 14.420 14.190 5.29 32.46 224 0.875 bicubic -11.596 -11.564 -7.676 -7.580 +7
193 seresnext26d_32x4d seresnext26t_32x4d 65.410 65.600 34.590 34.400 85.970 86.080 14.030 13.920 16.81 16.82 224 0.875 bicubic -12.192 -12.398 -7.638 -7.628 -8 -19
194 tf_efficientnet_lite2 tf_efficientnet_b0_ap 65.380 65.490 34.620 34.510 85.990 85.580 14.010 14.420 6.09 5.29 260 224 0.890 0.875 bicubic -12.088 -11.596 -7.764 -7.676 -5 +8
195 res2net50_48w_2s seresnext26d_32x4d 65.350 65.410 34.650 34.590 85.960 85.970 14.040 14.030 25.29 16.81 224 0.875 bilinear bicubic -12.172 -12.192 -7.594 -7.638 -7 -9
196 densenet201 tf_efficientnet_lite2 65.290 65.380 34.710 34.620 85.690 85.990 14.310 14.010 20.01 6.09 224 260 0.875 0.890 bicubic -11.996 -12.088 -7.788 -7.764 -2 -6
197 densenetblur121d res2net50_48w_2s 65.280 65.350 34.720 34.650 85.710 85.960 14.290 14.040 8.00 25.29 224 0.875 bicubic bilinear -11.308 -12.172 -7.482 -7.594 +12 -8
198 tf_efficientnet_es densenet201 65.220 65.290 34.780 34.710 85.550 85.690 14.450 14.310 5.44 20.01 224 0.875 bicubic -12.038 -11.996 -8.044 -7.788 -1 -3
199 dla60 densenetblur121d 65.200 65.280 34.800 34.720 85.760 85.710 14.240 14.290 22.04 8.00 224 0.875 bilinear bicubic -11.832 -11.308 -7.558 -7.482 +1 +13
200 ese_vovnet19b_dw tf_efficientnet_es 65.190 65.220 34.810 34.780 85.470 85.550 14.530 14.450 6.54 5.44 224 0.875 bicubic -11.608 -12.038 -7.798 -8.044 +5 -2
201 tf_efficientnet_cc_b0_4e dla60 65.150 65.200 34.850 34.800 85.160 85.760 14.840 14.240 13.31 22.04 224 0.875 bicubic bilinear -12.156 -11.832 -8.174 -7.558 -8 +2
202 mobilenetv2_120d ese_vovnet19b_dw 65.030 65.190 34.970 34.810 85.960 85.470 14.040 14.530 5.83 6.54 224 0.875 bicubic -12.254 -11.608 -7.532 -7.798 -7 +6
203 tf_efficientnet_cc_b0_4e 65.150 34.850 85.160 14.840 13.31 224 0.875 bicubic -12.156 -8.174 -9
204 legacy_seresnext26_32x4d 65.050 34.950 85.660 14.340 16.79 224 0.875 bicubic -12.054 -7.656 -3
205 mobilenetv2_120d 65.030 34.970 85.960 14.040 5.83 224 0.875 bicubic -12.254 -7.532 -9
206 hrnet_w18 64.920 35.080 85.740 14.260 21.30 224 0.875 bilinear -11.838 -7.704 +3
207 densenet169 64.760 35.240 85.240 14.760 14.15 224 0.875 bicubic -11.146 -7.786 +11
208 mixnet_m 64.700 35.300 85.450 14.550 5.01 224 0.875 bicubic -12.560 -7.974 -9 -11
209 resnet26d 64.680 35.320 85.120 14.880 16.01 224 0.875 bicubic -12.016 -8.030 +1
210 regnetx_016 64.380 35.620 85.470 14.530 9.19 224 0.875 bicubic -12.570 -7.950 -6
211 tf_efficientnet_lite1 64.380 35.620 85.470 14.530 5.42 240 0.882 bicubic -12.262 -7.756 0
215 regnety_008 64.160 35.840 85.270 14.730 6.26 224 0.875 bicubic -12.156 -7.796 0
216 mobilenetv2_140 64.060 35.940 85.040 14.960 6.11 224 0.875 bicubic -12.456 -7.956 -3
217 densenet121 63.750 36.250 84.590 15.410 7.98 224 0.875 bicubic -11.828 -8.062 +5
218 resnest14d 63.590 36.410 84.250 15.750 10.61 224 0.875 bilinear -11.916 -11.914 -8.268 +6
219 tf_mixnet_s 63.560 36.440 84.270 15.730 4.13 224 0.875 bicubic -12.090 -8.358 -8.360 +1
220 resnet26 63.470 36.530 84.260 15.740 16.00 224 0.875 bicubic -11.822 -8.310 +7
221 mixnet_s 63.390 36.610 84.740 15.260 4.13 224 0.875 bicubic -12.602 -8.056 -4
222 mobilenetv3_large_100 63.360 36.640 84.090 15.910 5.48 224 0.875 bicubic -12.406 -8.452 -3
225 mobilenetv3_rw 63.220 36.780 84.510 15.490 5.48 224 0.875 bicubic -12.414 -8.198 -4
226 semnasnet_100 63.150 36.850 84.520 15.480 3.89 224 0.875 bicubic -12.298 -8.084 0
227 regnety_006 63.110 36.890 84.250 15.750 6.06 224 0.875 bicubic -12.136 -8.282 +1
228 tv_densenet121 62.940 37.060 84.250 15.750 7.98 224 0.875 bicubic -11.798 -7.900 +7 +8
229 resnet34 62.870 37.130 84.140 15.860 21.80 224 0.875 bilinear -12.240 -8.144 +2
230 mobilenetv2_110d legacy_seresnet34 62.830 62.850 37.170 37.150 84.500 84.210 15.500 15.790 4.52 21.96 224 0.875 bicubic bilinear -12.206 -11.958 -7.686 -7.914 +3 +5
231 hrnet_w18_small_v2 mobilenetv2_110d 62.800 62.830 37.200 37.170 83.980 84.500 16.020 15.500 15.60 4.52 224 0.875 bilinear bicubic -12.314 -12.206 -8.436 -7.686 -1 +2
232 hrnet_w18_small_v2 62.800 37.200 83.980 16.020 15.60 224 0.875 bilinear -12.314 -8.436 -2
233 swsl_resnet18 62.760 37.240 84.300 15.700 11.69 224 0.875 bilinear -10.516 -7.434 +12
234 gluon_resnet34_v1b 62.570 37.430 83.990 16.010 21.80 224 0.875 bicubic -12.018 -8.000 +5
235 tf_efficientnet_lite0 62.550 37.450 84.220 15.780 4.65 224 0.875 bicubic -12.280 -7.956 0 -1
236 regnetx_008 62.490 37.510 84.020 15.980 7.26 224 0.875 bicubic -12.548 -8.316 -3 -4
237 dla34 62.480 37.520 83.910 16.090 15.74 224 0.875 bilinear -12.150 -8.168 +1
238 tf_mobilenetv3_large_100 62.460 37.540 83.970 16.030 5.48 224 0.875 bilinear -13.058 -8.636 -14 -15
239 fbnetc_100 62.440 37.560 83.380 16.620 5.57 224 0.875 bilinear -12.684 -9.006 -9 -10
240 mnasnet_100 61.900 38.100 83.710 16.290 4.38 224 0.875 bicubic -12.758 -8.404 -3
241 regnety_004 61.870 38.130 83.430 16.570 4.34 224 0.875 bicubic -12.164 -8.322 0
242 ssl_resnet18 61.480 38.520 83.300 16.700 11.69 224 0.875 bilinear -11.130 -8.116 +6
246 skresnet18 60.860 39.140 82.880 17.120 11.96 224 0.875 bicubic -12.178 -8.288 0
247 tf_mobilenetv3_large_075 60.400 39.600 81.950 18.050 3.99 224 0.875 bilinear -13.038 -9.400 -4
248 mobilenetv2_100 60.190 39.810 82.240 17.760 3.50 224 0.875 bicubic -12.780 -8.776 -1
249 regnetx_004 resnet18d 59.410 60.160 40.590 39.840 81.690 82.300 18.310 17.700 5.16 11.71 224 0.875 bicubic -12.986 -12.100 -9.140 -8.396 0 +2
250 tf_mobilenetv3_large_minimal_100 legacy_seresnet18 59.070 59.800 40.930 40.200 81.150 81.690 18.850 18.310 3.92 11.78 224 0.875 bilinear bicubic -13.178 -11.942 -9.480 -8.644 +1 +3
251 hrnet_w18_small regnetx_004 58.950 59.410 41.050 40.590 81.340 81.690 18.660 18.310 13.19 5.16 224 0.875 bilinear bicubic -13.392 -12.986 -9.338 -9.140 -1 -2
252 tf_mobilenetv3_large_minimal_100 59.070 40.930 81.150 18.850 3.92 224 0.875 bilinear -13.178 -9.480 0
253 hrnet_w18_small 58.950 41.050 81.340 18.660 13.19 224 0.875 bilinear -13.392 -9.338 -3
254 gluon_resnet18_v1b 58.340 41.660 80.970 19.030 11.69 224 0.875 bicubic -12.496 -8.792 0
255 resnet18 57.170 42.830 80.200 19.800 11.69 224 0.875 bilinear -12.578 -8.878 +1
256 regnety_002 57.000 43.000 79.840 20.160 3.16 224 0.875 bicubic -13.252 -9.700 -1

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results/results-sketch.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
ig_resnext101_32x48d,58.810,41.190,81.076,18.924,828.41,224,0.875,bilinear,-26.618,-16.496,+5
ig_resnext101_32x32d,58.386,41.614,80.381,19.619,468.53,224,0.875,bilinear,-26.708,-17.057,+9
ig_resnext101_32x16d,57.690,42.310,79.905,20.095,194.03,224,0.875,bilinear,-26.480,-17.291,+14
swsl_resnext101_32x16d,57.458,42.542,80.385,19.615,194.03,224,0.875,bilinear,-25.888,-16.461,+18
swsl_resnext101_32x8d,56.438,43.562,78.944,21.056,88.79,224,0.875,bilinear,-27.845,-18.232,+10
ig_resnext101_32x8d,54.918,45.082,77.534,22.466,88.79,224,0.875,bilinear,-27.770,-19.103,+23
swsl_resnext101_32x4d,53.603,46.397,76.347,23.653,44.18,224,0.875,bilinear,-29.627,-20.413,+17
ig_resnext101_32x32d,58.386,41.614,80.381,19.619,468.53,224,0.875,bilinear,-26.708,-17.057,+10
ig_resnext101_32x16d,57.690,42.310,79.905,20.095,194.03,224,0.875,bilinear,-26.480,-17.291,+16
swsl_resnext101_32x16d,57.458,42.542,80.385,19.615,194.03,224,0.875,bilinear,-25.888,-16.461,+20
swsl_resnext101_32x8d,56.438,43.562,78.944,21.056,88.79,224,0.875,bilinear,-27.845,-18.232,+11
ig_resnext101_32x8d,54.918,45.082,77.534,22.466,88.79,224,0.875,bilinear,-27.770,-19.103,+25
swsl_resnext101_32x4d,53.603,46.397,76.347,23.653,44.18,224,0.875,bilinear,-29.627,-20.413,+19
tf_efficientnet_l2_ns_475,51.494,48.506,73.928,26.072,480.31,475,0.936,bicubic,-36.740,-24.618,-6
swsl_resnext50_32x4d,50.437,49.563,73.368,26.633,25.03,224,0.875,bilinear,-31.745,-22.862,+24
swsl_resnet50,49.541,50.459,72.334,27.666,25.56,224,0.875,bilinear,-31.625,-23.638,+38
swsl_resnext50_32x4d,50.437,49.563,73.368,26.633,25.03,224,0.875,bilinear,-31.745,-22.862,+27
swsl_resnet50,49.541,50.459,72.334,27.666,25.56,224,0.875,bilinear,-31.625,-23.638,+46
tf_efficientnet_b7_ns,47.800,52.200,69.640,30.360,66.35,600,0.949,bicubic,-39.040,-28.454,-8
tf_efficientnet_b6_ns,47.761,52.239,69.968,30.032,43.04,528,0.942,bicubic,-38.691,-27.914,-8
tf_efficientnet_l2_ns,47.570,52.430,70.019,29.981,480.31,800,0.960,bicubic,-40.782,-28.631,-12
tf_efficientnet_b8_ap,45.774,54.226,67.911,32.089,87.41,672,0.954,bicubic,-39.596,-29.383,-6
tf_efficientnet_b5_ns,45.615,54.385,67.842,32.158,30.39,456,0.934,bicubic,-40.473,-29.910,-10
tf_efficientnet_b4_ns,43.450,56.550,65.519,34.481,19.34,380,0.922,bicubic,-41.713,-31.951,-7
tf_efficientnet_b8,42.508,57.492,64.857,35.143,87.41,672,0.954,bicubic,-42.862,-32.533,-10
vit_large_patch16_384,43.300,56.700,66.454,33.546,304.72,384,1.000,bicubic,-41.858,-30.902,-7
tf_efficientnet_b8,42.508,57.492,64.857,35.143,87.41,672,0.954,bicubic,-42.862,-32.533,-11
tf_efficientnet_b7,41.431,58.569,63.017,36.983,66.35,600,0.949,bicubic,-43.505,-34.186,-6
tf_efficientnet_b7_ap,41.429,58.571,62.874,37.126,66.35,600,0.949,bicubic,-43.691,-34.378,-9
tf_efficientnet_b5_ap,41.418,58.582,62.084,37.916,30.39,456,0.934,bicubic,-42.834,-34.890,-4
tf_efficientnet_b6_ap,41.099,58.901,62.355,37.645,43.04,528,0.942,bicubic,-43.689,-34.783,-8
tf_efficientnet_b4_ap,40.484,59.516,61.723,38.277,19.34,380,0.922,bicubic,-42.764,-34.669,+1
tf_efficientnet_b3_ns,39.584,60.416,61.453,38.547,12.23,300,0.904,bicubic,-44.464,-35.457,-4
tf_efficientnet_b5,38.356,61.644,59.913,40.087,30.39,456,0.934,bicubic,-45.456,-36.835,-3
resnest269e,37.315,62.685,57.468,42.532,110.93,416,0.928,bicubic,-47.203,-39.518,-11
tf_efficientnet_b3_ap,37.055,62.945,57.240,42.760,12.23,300,0.904,bicubic,-44.767,-38.384,+12
tf_efficientnet_b2_ns,36.183,63.817,57.551,42.449,9.11,260,0.890,bicubic,-46.197,-38.697,+4
ecaresnet101d,36.004,63.996,56.165,43.835,44.57,224,0.875,bicubic,-46.168,-39.881,+6
resnest200e,35.931,64.069,55.849,44.151,70.20,320,0.909,bicubic,-47.901,-41.045,-9
swsl_resnet18,35.858,64.142,58.455,41.545,11.69,224,0.875,bilinear,-37.418,-33.279,+195
resnest101e,35.373,64.627,55.780,44.220,48.28,256,0.875,bilinear,-47.517,-40.540,-4
ssl_resnext101_32x16d,34.603,65.397,55.931,44.069,194.03,224,0.875,bilinear,-47.241,-40.165,+5
resnest50d_4s2x40d,34.355,65.645,54.725,45.275,30.42,224,0.875,bicubic,-46.753,-40.833,+16
tf_efficientnet_b4_ap,40.484,59.516,61.723,38.277,19.34,380,0.922,bicubic,-42.764,-34.669,+2
tf_efficientnet_b3_ns,39.584,60.416,61.453,38.547,12.23,300,0.904,bicubic,-44.464,-35.457,-3
tf_efficientnet_b5,38.356,61.644,59.913,40.087,30.39,456,0.934,bicubic,-45.456,-36.835,-2
vit_base_patch16_384,38.099,61.901,60.428,39.572,86.86,384,1.000,bicubic,-46.111,-36.790,-8
resnest269e,37.315,62.685,57.468,42.532,110.93,416,0.928,bicubic,-47.203,-39.518,-12
tf_efficientnet_b3_ap,37.055,62.945,57.240,42.760,12.23,300,0.904,bicubic,-44.767,-38.384,+14
efficientnet_b3a,36.420,63.580,56.845,43.155,12.23,320,1.000,bicubic,-45.822,-39.269,+6
tf_efficientnet_b2_ns,36.183,63.817,57.551,42.449,9.11,260,0.890,bicubic,-46.197,-38.697,+3
efficientnet_b3,36.037,63.963,56.370,43.630,12.23,300,0.904,bicubic,-46.039,-39.650,+7
ecaresnet101d,36.004,63.996,56.165,43.835,44.57,224,0.875,bicubic,-46.168,-39.881,+5
resnest200e,35.931,64.069,55.849,44.151,70.20,320,0.909,bicubic,-47.901,-41.045,-11
swsl_resnet18,35.858,64.142,58.455,41.545,11.69,224,0.875,bilinear,-37.418,-33.279,+210
resnest101e,35.373,64.627,55.780,44.220,48.28,256,0.875,bilinear,-47.517,-40.540,-6
vit_large_patch32_384,34.673,65.326,55.729,44.271,306.63,384,1.000,bicubic,-46.833,-40.363,+13
ssl_resnext101_32x16d,34.605,65.395,55.931,44.069,194.03,224,0.875,bilinear,-47.239,-40.165,+4
regnety_032,34.383,65.617,54.283,45.717,19.44,224,0.875,bicubic,-47.619,-41.623,+2
resnest50d_4s2x40d,34.355,65.645,54.725,45.275,30.42,224,0.875,bicubic,-46.753,-40.833,+18
tf_efficientnet_b1_ns,34.157,65.843,55.489,44.511,7.79,240,0.882,bicubic,-47.231,-40.249,+12
tf_efficientnet_b4,34.064,65.936,54.198,45.802,19.34,380,0.922,bicubic,-48.958,-42.102,-9
ssl_resnext101_32x8d,34.017,65.983,55.601,44.399,88.79,224,0.875,bilinear,-47.599,-40.437,+6
tf_efficientnet_b6,33.998,66.002,54.544,45.456,43.04,528,0.942,bicubic,-50.112,-42.342,-19
efficientnet_b3_pruned,33.996,66.004,54.108,45.892,9.86,300,0.904,bicubic,-46.862,-41.134,+18
tresnet_xl,33.257,66.743,52.294,47.706,78.44,224,0.875,bilinear,-48.797,-43.642,-4
resnest50d_1s4x24d,33.147,66.853,52.839,47.161,25.68,224,0.875,bicubic,-47.841,-42.483,+11
rexnet_200,32.987,67.013,52.939,47.061,16.37,224,0.875,bicubic,-48.645,-42.729,0
resnest50d,32.972,67.028,52.713,47.287,27.48,224,0.875,bilinear,-48.002,-42.665,+10
tf_efficientnet_b3,32.860,67.140,52.950,47.050,12.23,300,0.904,bicubic,-48.776,-42.767,-3
pnasnet5large,32.848,67.152,50.500,49.500,86.06,331,0.911,bicubic,-49.934,-45.540,-16
nasnetalarge,32.775,67.225,50.141,49.859,88.75,331,0.911,bicubic,-49.845,-45.906,-15
inception_resnet_v2,32.738,67.262,50.648,49.352,55.84,299,0.897,bicubic,-47.720,-44.658,+20
gluon_resnet152_v1d,32.734,67.266,51.088,48.912,60.21,224,0.875,bicubic,-47.740,-44.118,+17
tf_efficientnet_b2_ap,32.681,67.319,52.239,47.761,9.11,260,0.890,bicubic,-47.619,-42.789,+27
tresnet_l,32.559,67.441,51.139,48.861,55.99,224,0.875,bilinear,-48.929,-44.485,-4
ens_adv_inception_resnet_v2,32.370,67.629,50.427,49.573,55.84,299,0.897,bicubic,-47.611,-44.509,+36
gluon_resnet152_v1s,32.331,67.669,50.526,49.474,60.32,224,0.875,bicubic,-48.685,-44.886,-1
gluon_seresnext101_64x4d,32.205,67.795,50.319,49.681,88.23,224,0.875,bicubic,-48.689,-44.989,+3
gluon_seresnext101_32x4d,32.107,67.893,51.237,48.763,48.96,224,0.875,bicubic,-48.797,-44.057,+1
tf_efficientnet_b4,34.064,65.936,54.198,45.802,19.34,380,0.922,bicubic,-48.958,-42.102,-13
ssl_resnext101_32x8d,34.017,65.983,55.601,44.399,88.79,224,0.875,bilinear,-47.599,-40.437,+5
tf_efficientnet_b6,33.998,66.002,54.544,45.456,43.04,528,0.942,bicubic,-50.112,-42.342,-23
efficientnet_b3_pruned,33.996,66.004,54.108,45.892,9.86,300,0.904,bicubic,-46.862,-41.134,+20
tresnet_xl,33.257,66.743,52.294,47.706,78.44,224,0.875,bilinear,-48.797,-43.642,-6
resnest50d_1s4x24d,33.147,66.853,52.839,47.161,25.68,224,0.875,bicubic,-47.841,-42.483,+13
rexnet_200,32.987,67.013,52.939,47.061,16.37,224,0.875,bicubic,-48.645,-42.729,-1
resnest50d,32.972,67.028,52.713,47.287,27.48,224,0.875,bilinear,-48.002,-42.665,+12
tf_efficientnet_b3,32.860,67.140,52.950,47.050,12.23,300,0.904,bicubic,-48.776,-42.767,-4
pnasnet5large,32.848,67.152,50.500,49.500,86.06,331,0.911,bicubic,-49.934,-45.540,-20
nasnetalarge,32.775,67.225,50.141,49.859,88.75,331,0.911,bicubic,-49.845,-45.906,-19
inception_resnet_v2,32.738,67.262,50.648,49.352,55.84,299,0.897,bicubic,-47.720,-44.658,+23
gluon_resnet152_v1d,32.734,67.266,51.088,48.912,60.21,224,0.875,bicubic,-47.740,-44.118,+20
vit_base_patch16_224,32.722,67.278,53.157,46.843,86.54,224,0.900,bicubic,-46.626,-41.355,+66
tf_efficientnet_b2_ap,32.681,67.319,52.239,47.761,9.11,260,0.890,bicubic,-47.619,-42.789,+29
tresnet_l,32.559,67.441,51.139,48.861,55.99,224,0.875,bilinear,-48.931,-44.485,-6
vit_base_patch32_384,32.461,67.539,52.444,47.556,88.30,384,1.000,bicubic,-49.191,-43.684,-13
wide_resnet50_2,32.439,67.561,51.459,48.541,68.88,224,0.875,bicubic,-49.017,-44.073,-7
ens_adv_inception_resnet_v2,32.370,67.629,50.427,49.573,55.84,299,0.897,bicubic,-47.611,-44.509,+37
gluon_resnet152_v1s,32.331,67.669,50.526,49.474,60.32,224,0.875,bicubic,-48.685,-44.886,-2
gluon_seresnext101_64x4d,32.205,67.795,50.319,49.681,88.23,224,0.875,bicubic,-48.689,-44.989,+2
gluon_seresnext101_32x4d,32.107,67.893,51.237,48.763,48.96,224,0.875,bicubic,-48.797,-44.057,0
seresnext50_32x4d,31.985,68.015,51.231,48.769,27.56,224,0.875,bicubic,-49.281,-44.389,-9
cspresnext50,31.822,68.178,51.602,48.398,20.57,224,0.875,bilinear,-48.218,-43.342,+30
efficientnet_b3a,31.732,68.268,51.325,48.675,12.23,320,1.000,bicubic,-50.134,-44.511,-19
efficientnet_b3,31.555,68.445,51.276,48.724,12.23,300,0.904,bicubic,-49.939,-44.440,-12
resnet50,31.547,68.453,50.170,49.830,25.56,224,0.875,bicubic,-47.491,-44.220,+68
resnet50,31.547,68.453,50.170,49.830,25.56,224,0.875,bicubic,-47.491,-44.220,+74
ssl_resnext101_32x4d,31.423,68.577,52.121,47.879,44.18,224,0.875,bilinear,-49.501,-43.607,-5
inception_v4,31.378,68.622,49.244,50.756,42.68,299,0.875,bicubic,-48.790,-45.724,+20
rexnet_150,31.366,68.634,51.288,48.712,9.73,224,0.875,bicubic,-48.944,-43.878,+13
ecaresnetlight,31.121,68.879,50.243,49.757,30.16,224,0.875,bicubic,-49.341,-45.007,+4
inception_v4,31.378,68.622,49.244,50.756,42.68,299,0.875,bicubic,-48.790,-45.724,+22
rexnet_150,31.366,68.634,51.288,48.712,9.73,224,0.875,bicubic,-48.944,-43.878,+14
cspresnet50,31.270,68.730,51.223,48.777,21.62,256,0.887,bilinear,-48.304,-43.489,+44
ecaresnetlight,31.121,68.879,50.243,49.757,30.16,224,0.875,bicubic,-49.341,-45.005,+4
gluon_resnet101_v1s,31.115,68.885,49.793,50.207,44.67,224,0.875,bicubic,-49.187,-45.367,+12
tf_efficientnet_cc_b0_8e,31.087,68.913,50.761,49.239,24.01,224,0.875,bicubic,-46.821,-42.892,+100
ecaresnet50d,31.058,68.942,50.848,49.152,25.58,224,0.875,bicubic,-49.534,-44.472,-2
tf_efficientnet_cc_b0_8e,31.087,68.913,50.761,49.239,24.01,224,0.875,bicubic,-46.821,-42.892,+105
ecaresnet50d,31.058,68.942,50.848,49.152,25.58,224,0.875,bicubic,-49.534,-44.472,-3
resnet50d,31.020,68.980,49.808,50.192,25.58,224,0.875,bicubic,-49.510,-45.352,-3
cspdarknet53,31.018,68.981,50.390,49.610,27.64,256,0.887,bilinear,-49.040,-44.694,+18
tresnet_m,30.997,69.003,48.682,51.318,31.39,224,0.875,bilinear,-49.805,-46.178,-7
tresnet_m,30.997,69.003,48.682,51.318,31.39,224,0.875,bilinear,-49.805,-46.178,-9
gluon_resnet152_v1c,30.991,69.009,48.924,51.076,60.21,224,0.875,bicubic,-48.919,-45.916,+22
gluon_resnext101_64x4d,30.987,69.013,48.549,51.451,83.46,224,0.875,bicubic,-49.617,-46.439,-7
tf_efficientnet_cc_b1_8e,30.899,69.101,50.080,49.920,39.72,240,0.882,bicubic,-48.409,-44.290,+42
ecaresnet101d_pruned,30.897,69.103,50.013,49.987,24.88,224,0.875,bicubic,-49.921,-45.615,-13
gluon_resnext101_32x4d,30.877,69.123,48.537,51.463,44.18,224,0.875,bicubic,-49.457,-46.389,0
tf_efficientnet_lite4,30.830,69.170,50.386,49.614,13.01,380,0.920,bilinear,-50.706,-45.282,-29
gluon_resnext101_64x4d,30.987,69.013,48.549,51.451,83.46,224,0.875,bicubic,-49.617,-46.439,-9
tf_efficientnet_cc_b1_8e,30.899,69.101,50.080,49.920,39.72,240,0.882,bicubic,-48.409,-44.290,+44
ecaresnet101d_pruned,30.897,69.103,50.013,49.987,24.88,224,0.875,bicubic,-49.921,-45.615,-15
gluon_resnext101_32x4d,30.877,69.123,48.537,51.463,44.18,224,0.875,bicubic,-49.457,-46.389,-1
tf_efficientnet_lite4,30.830,69.170,50.386,49.614,13.01,380,0.920,bilinear,-50.706,-45.282,-34
dpn107,30.678,69.322,48.810,51.190,86.92,224,0.875,bicubic,-49.478,-46.100,+7
ese_vovnet39b,30.657,69.343,49.875,50.125,24.57,224,0.875,bicubic,-48.663,-44.837,+35
ese_vovnet39b,30.657,69.343,49.875,50.125,24.57,224,0.875,bicubic,-48.663,-44.837,+37
gluon_resnet152_v1b,30.623,69.376,48.521,51.479,60.19,224,0.875,bicubic,-49.063,-46.215,+24
tresnet_xl_448,30.614,69.386,49.069,50.931,78.44,448,0.875,bilinear,-52.436,-47.104,-51
ssl_resnext50_32x4d,30.594,69.406,50.657,49.343,25.03,224,0.875,bilinear,-49.724,-44.749,-5
gluon_resnet101_v1d,30.523,69.477,47.950,52.050,44.57,224,0.875,bicubic,-49.891,-47.064,-10
dpn68b,30.517,69.483,49.158,50.842,12.61,224,0.875,bicubic,-48.699,-45.256,+39
resnest26d,30.490,69.510,50.677,49.323,17.07,224,0.875,bilinear,-47.988,-43.621,+63
efficientnet_b2a,30.435,69.565,49.698,50.302,9.11,288,1.000,bicubic,-50.177,-45.620,-21
tf_efficientnet_b1_ap,30.421,69.579,49.553,50.447,7.79,240,0.882,bicubic,-48.859,-44.753,+33
seresnet50,30.077,69.923,49.292,50.708,28.09,224,0.875,bicubic,-50.197,-45.778,-6
tresnet_xl_448,30.614,69.386,49.069,50.931,78.44,448,0.875,bilinear,-52.436,-47.104,-59
ssl_resnext50_32x4d,30.594,69.406,50.657,49.343,25.03,224,0.875,bilinear,-49.724,-44.749,-6
gluon_resnet101_v1d,30.523,69.477,47.950,52.050,44.57,224,0.875,bicubic,-49.891,-47.064,-11
dpn68b,30.517,69.483,49.162,50.838,12.61,224,0.875,bicubic,-48.699,-45.252,+42
resnest26d,30.490,69.510,50.677,49.323,17.07,224,0.875,bilinear,-47.988,-43.621,+67
efficientnet_b2a,30.435,69.565,49.698,50.302,9.11,288,1.000,bicubic,-50.177,-45.620,-23
tf_efficientnet_b1_ap,30.421,69.579,49.553,50.447,7.79,240,0.882,bicubic,-48.859,-44.753,+35
seresnet50,30.077,69.923,49.292,50.708,28.09,224,0.875,bicubic,-50.197,-45.778,-7
dpn98,30.067,69.933,48.244,51.756,61.57,224,0.875,bicubic,-49.575,-46.354,+17
tf_efficientnet_b2,30.026,69.974,49.581,50.419,9.11,260,0.890,bicubic,-50.060,-45.327,-3
dpn131,30.024,69.976,48.146,51.854,79.25,224,0.875,bicubic,-49.798,-46.564,+7
dpn92,29.953,70.047,49.162,50.838,37.67,224,0.875,bicubic,-50.055,-45.674,-2
gluon_senet154,29.877,70.123,47.894,52.106,115.09,224,0.875,bicubic,-51.357,-47.454,-41
xception,29.865,70.135,48.686,51.314,22.86,299,0.897,bicubic,-49.187,-45.706,+35
adv_inception_v3,29.816,70.184,47.847,52.153,23.83,299,0.875,bicubic,-47.766,-45.889,+80
gluon_xception65,29.784,70.216,47.755,52.245,39.92,299,0.903,bicubic,-49.932,-47.105,+7
resnetblur50,29.625,70.375,48.248,51.752,25.56,224,0.875,bicubic,-49.661,-46.390,+22
efficientnet_b2,29.615,70.385,48.777,51.223,9.11,260,0.875,bicubic,-50.777,-46.299,-24
legacy_senet154,30.001,69.999,48.034,51.966,115.09,224,0.875,bilinear,-51.309,-47.462,-44
dpn92,29.953,70.047,49.162,50.838,37.67,224,0.875,bicubic,-50.055,-45.674,-3
gluon_senet154,29.877,70.123,47.894,52.106,115.09,224,0.875,bicubic,-51.357,-47.454,-44
xception,29.865,70.135,48.686,51.314,22.86,299,0.897,bicubic,-49.187,-45.706,+38
adv_inception_v3,29.816,70.184,47.847,52.153,23.83,299,0.875,bicubic,-47.766,-45.889,+85
gluon_xception65,29.784,70.216,47.755,52.245,39.92,299,0.903,bicubic,-49.932,-47.105,+6
resnetblur50,29.625,70.375,48.248,51.752,25.56,224,0.875,bicubic,-49.661,-46.390,+23
efficientnet_b2,29.615,70.385,48.777,51.223,9.11,260,0.875,bicubic,-50.777,-46.299,-26
efficientnet_em,29.486,70.514,48.946,51.054,6.90,240,0.882,bicubic,-49.766,-45.848,+23
resnext101_32x8d,29.439,70.561,48.486,51.514,88.79,224,0.875,bilinear,-49.869,-46.032,+16
ssl_resnet50,29.423,70.577,49.781,50.219,25.56,224,0.875,bilinear,-49.799,-45.051,+21
resnext50_32x4d,29.331,70.669,47.397,52.603,25.03,224,0.875,bicubic,-50.438,-47.201,-1
ecaresnet50d_pruned,29.215,70.785,48.453,51.547,19.94,224,0.875,bicubic,-50.501,-46.427,0
tresnet_l_448,29.165,70.835,47.232,52.768,55.99,448,0.875,bilinear,-53.103,-48.744,-66
gluon_inception_v3,29.124,70.876,46.957,53.043,23.83,299,0.875,bicubic,-49.682,-47.413,+33
xception71,29.047,70.953,47.405,52.595,42.34,299,0.903,bicubic,-50.826,-47.517,-9
hrnet_w64,28.989,71.011,47.142,52.858,128.06,224,0.875,bilinear,-50.485,-47.510,+5
tf_efficientnet_b0_ns,28.902,71.098,49.011,50.989,5.29,224,0.875,bicubic,-49.756,-45.365,+36
xception65,28.896,71.104,47.167,52.833,39.92,299,0.903,bicubic,-50.656,-47.487,0
ssl_resnet50,29.423,70.577,49.781,50.219,25.56,224,0.875,bilinear,-49.799,-45.051,+22
resnext50_32x4d,29.331,70.669,47.397,52.603,25.03,224,0.875,bicubic,-50.438,-47.201,-3
resnet34d,29.328,70.671,48.409,51.591,21.82,224,0.875,bicubic,-47.788,-44.973,+90
ecaresnet50d_pruned,29.215,70.785,48.453,51.547,19.94,224,0.875,bicubic,-50.501,-46.427,-3
tresnet_l_448,29.165,70.835,47.232,52.768,55.99,448,0.875,bilinear,-53.103,-48.744,-77
gluon_inception_v3,29.122,70.878,46.957,53.043,23.83,299,0.875,bicubic,-49.684,-47.413,+33
xception71,29.047,70.953,47.405,52.595,42.34,299,0.903,bicubic,-50.826,-47.517,-12
hrnet_w64,28.989,71.011,47.142,52.858,128.06,224,0.875,bilinear,-50.485,-47.510,+3
tf_efficientnet_b0_ns,28.902,71.098,49.011,50.989,5.29,224,0.875,bicubic,-49.756,-45.365,+37
xception65,28.896,71.104,47.167,52.833,39.92,299,0.903,bicubic,-50.656,-47.487,-2
tf_efficientnet_b1,28.886,71.114,47.503,52.497,7.79,240,0.882,bicubic,-49.940,-46.695,+27
gluon_resnet101_v1b,28.878,71.121,46.389,53.611,44.55,224,0.875,bicubic,-50.427,-48.135,+7
skresnext50_32x4d,28.818,71.182,46.497,53.503,27.48,224,0.875,bicubic,-51.338,-48.145,-25
tf_efficientnet_lite3,28.660,71.340,47.354,52.646,8.20,300,0.904,bilinear,-51.160,-47.560,-13
gluon_seresnext50_32x4d,28.651,71.349,46.436,53.564,27.56,224,0.875,bicubic,-51.267,-48.386,-21
skresnet34,28.645,71.355,47.953,52.047,22.28,224,0.875,bicubic,-48.267,-45.369,+78
hrnet_w40,28.641,71.359,47.454,52.546,57.56,224,0.875,bilinear,-50.279,-47.016,+17
resnet152,28.533,71.467,47.118,52.882,60.19,224,0.875,bilinear,-49.779,-46.920,+38
hrnet_w48,28.413,71.587,47.586,52.414,77.47,224,0.875,bilinear,-50.887,-46.926,+1
gluon_resnext50_32x4d,28.375,71.624,45.328,54.672,25.03,224,0.875,bicubic,-50.978,-49.098,-5
efficientnet_b2_pruned,28.362,71.638,47.051,52.949,8.31,260,0.890,bicubic,-51.554,-47.805,-26
tf_efficientnet_b0_ap,28.346,71.654,47.531,52.469,5.29,224,0.875,bicubic,-48.740,-45.725,+68
tf_efficientnet_cc_b0_4e,28.315,71.685,47.364,52.636,13.31,224,0.875,bicubic,-48.991,-45.970,+61
dla102x2,28.313,71.687,46.761,53.239,41.28,224,0.875,bilinear,-51.135,-47.879,-10
gluon_resnet101_v1b,28.878,71.121,46.389,53.611,44.55,224,0.875,bicubic,-50.427,-48.135,+6
skresnext50_32x4d,28.818,71.182,46.497,53.503,27.48,224,0.875,bicubic,-51.338,-48.145,-28
tf_efficientnet_lite3,28.660,71.340,47.354,52.646,8.20,300,0.904,bilinear,-51.160,-47.560,-16
gluon_seresnext50_32x4d,28.651,71.349,46.436,53.564,27.56,224,0.875,bicubic,-51.267,-48.386,-24
skresnet34,28.645,71.355,47.953,52.047,22.28,224,0.875,bicubic,-48.267,-45.369,+83
hrnet_w40,28.641,71.359,47.454,52.546,57.56,224,0.875,bilinear,-50.279,-47.016,+18
tv_resnet152,28.533,71.467,47.118,52.882,60.19,224,0.875,bilinear,-49.779,-46.920,+39
hrnet_w48,28.413,71.587,47.586,52.414,77.47,224,0.875,bilinear,-50.887,-46.926,0
gluon_resnext50_32x4d,28.375,71.624,45.328,54.672,25.03,224,0.875,bicubic,-50.978,-49.098,-7
efficientnet_b2_pruned,28.362,71.638,47.051,52.949,8.31,260,0.890,bicubic,-51.554,-47.805,-29
tf_efficientnet_b0_ap,28.346,71.654,47.531,52.469,5.29,224,0.875,bicubic,-48.740,-45.725,+73
tf_efficientnet_cc_b0_4e,28.315,71.685,47.364,52.636,13.31,224,0.875,bicubic,-48.991,-45.970,+64
dla102x2,28.313,71.687,46.761,53.239,41.28,224,0.875,bilinear,-51.135,-47.879,-12
dla169,28.313,71.687,47.391,52.609,53.39,224,0.875,bilinear,-50.375,-46.945,+19
mixnet_xl,28.287,71.713,46.702,53.298,11.90,224,0.875,bicubic,-52.189,-48.234,-56
gluon_resnet50_v1d,28.246,71.754,45.878,54.122,25.58,224,0.875,bicubic,-50.828,-48.592,+2
mixnet_xl,28.287,71.713,46.702,53.298,11.90,224,0.875,bicubic,-52.189,-48.234,-60
gluon_resnet50_v1d,28.246,71.754,45.878,54.122,25.58,224,0.875,bicubic,-50.828,-48.592,+3
wide_resnet101_2,28.108,71.892,46.401,53.599,126.89,224,0.875,bilinear,-50.748,-47.881,+9
gluon_resnet101_v1c,28.104,71.896,45.961,54.039,44.57,224,0.875,bicubic,-51.430,-48.617,-18
regnetx_320,28.093,71.907,45.126,54.874,107.81,224,0.875,bicubic,-52.154,-49.900,-45
densenet161,28.081,71.919,46.641,53.359,28.68,224,0.875,bicubic,-49.277,-46.997,+52
regnety_320,28.059,71.941,45.444,54.556,145.05,224,0.875,bicubic,-52.753,-49.800,-67
xception41,27.888,72.112,45.890,54.110,26.97,299,0.903,bicubic,-50.628,-48.388,+14
regnetx_160,27.817,72.183,45.617,54.383,54.28,224,0.875,bicubic,-52.039,-49.213,-35
tf_inception_v3,27.780,72.220,45.721,54.279,23.83,299,0.875,bicubic,-50.078,-47.917,+38
res2net101_26w_4s,27.768,72.232,45.179,54.821,45.21,224,0.875,bilinear,-51.430,-49.253,-9
regnety_160,27.623,72.377,45.532,54.468,83.59,224,0.875,bicubic,-52.673,-49.430,-54
hrnet_w44,27.621,72.379,45.837,54.163,67.06,224,0.875,bilinear,-51.275,-48.531,-3
inception_v3,27.556,72.444,45.263,54.737,23.83,299,0.875,bicubic,-49.884,-48.213,+42
gluon_resnet101_v1c,28.104,71.896,45.961,54.039,44.57,224,0.875,bicubic,-51.430,-48.617,-20
regnetx_320,28.093,71.907,45.126,54.874,107.81,224,0.875,bicubic,-52.154,-49.900,-49
densenet161,28.081,71.919,46.641,53.359,28.68,224,0.875,bicubic,-49.277,-46.997,+55
regnety_320,28.059,71.941,45.444,54.556,145.05,224,0.875,bicubic,-52.753,-49.800,-72
xception41,27.888,72.112,45.890,54.110,26.97,299,0.903,bicubic,-50.628,-48.388,+15
regnetx_160,27.817,72.183,45.617,54.383,54.28,224,0.875,bicubic,-52.039,-49.213,-38
tf_inception_v3,27.782,72.218,45.721,54.279,23.83,299,0.875,bicubic,-50.080,-47.919,+38
res2net101_26w_4s,27.768,72.232,45.179,54.821,45.21,224,0.875,bilinear,-51.430,-49.189,-10
regnety_160,27.623,72.377,45.532,54.468,83.59,224,0.875,bicubic,-52.673,-49.430,-58
hrnet_w44,27.621,72.379,45.837,54.163,67.06,224,0.875,bilinear,-51.275,-48.531,-2
inception_v3,27.556,72.444,45.263,54.737,23.83,299,0.875,bicubic,-49.882,-48.213,+45
regnetx_080,27.405,72.595,45.002,54.998,39.57,224,0.875,bicubic,-51.789,-49.558,-12
hrnet_w30,27.381,72.619,46.554,53.446,37.71,224,0.875,bilinear,-50.825,-47.668,+19
hrnet_w30,27.381,72.619,46.554,53.446,37.71,224,0.875,bilinear,-50.825,-47.668,+20
hrnet_w32,27.369,72.631,45.994,54.006,41.23,224,0.875,bilinear,-51.081,-48.192,+11
gluon_resnet50_v1s,27.326,72.674,45.222,54.778,25.68,224,0.875,bicubic,-51.386,-49.016,-2
densenet201,27.265,72.735,46.222,53.778,20.01,224,0.875,bicubic,-50.021,-47.256,+41
densenetblur121d,27.228,72.772,46.299,53.701,8.00,224,0.875,bicubic,-49.360,-46.893,+55
regnety_064,27.220,72.780,44.847,55.153,30.58,224,0.875,bicubic,-52.502,-49.921,-43
efficientnet_b1_pruned,27.181,72.819,45.872,54.128,6.33,240,0.882,bicubic,-51.055,-47.962,+12
rexnet_130,27.094,72.906,45.933,54.067,7.56,224,0.875,bicubic,-52.406,-48.749,-36
res2net50_26w_8s,27.078,72.921,44.428,55.572,48.40,224,0.875,bilinear,-52.120,-49.940,-23
gluon_resnet50_v1s,27.326,72.674,45.222,54.778,25.68,224,0.875,bicubic,-51.384,-49.016,-2
densenet201,27.265,72.735,46.222,53.778,20.01,224,0.875,bicubic,-50.021,-47.256,+44
densenetblur121d,27.228,72.772,46.299,53.701,8.00,224,0.875,bicubic,-49.360,-46.893,+60
regnety_064,27.220,72.780,44.847,55.153,30.58,224,0.875,bicubic,-52.502,-49.921,-46
efficientnet_b1_pruned,27.181,72.819,45.872,54.128,6.33,240,0.882,bicubic,-51.055,-47.962,+13
rexnet_130,27.094,72.906,45.933,54.067,7.56,224,0.875,bicubic,-52.406,-48.749,-38
vit_small_patch16_224,27.086,72.914,45.701,54.299,48.75,224,0.900,bicubic,-50.772,-47.715,+26
res2net50_26w_8s,27.078,72.921,44.428,55.572,48.40,224,0.875,bilinear,-52.120,-50.004,-23
dla102x,27.061,72.939,45.475,54.525,26.31,224,0.875,bilinear,-51.449,-48.753,-2
resnet101,26.963,73.037,45.234,54.766,44.55,224,0.875,bilinear,-50.411,-48.306,+31
resnext50d_32x4d,26.876,73.124,44.436,55.564,25.05,224,0.875,bicubic,-52.800,-50.430,-45
regnetx_120,26.868,73.132,44.682,55.318,46.11,224,0.875,bicubic,-52.728,-50.056,-44
rexnet_100,26.831,73.169,45.369,54.631,4.80,224,0.875,bicubic,-51.027,-48.501,+18
densenet169,26.829,73.171,45.373,54.627,14.15,224,0.875,bicubic,-49.077,-47.653,+51
regnety_120,26.788,73.212,44.454,55.546,51.82,224,0.875,bicubic,-53.578,-50.672,-79
regnetx_064,26.784,73.216,44.927,55.073,26.21,224,0.875,bicubic,-52.288,-49.531,-27
regnetx_032,26.703,73.297,45.236,54.764,15.30,224,0.875,bicubic,-51.469,-48.852,+3
densenet121,26.664,73.336,45.900,54.100,7.98,224,0.875,bicubic,-48.914,-46.752,+51
tf_efficientnet_el,26.623,73.377,44.648,55.352,10.59,300,0.904,bicubic,-53.817,-50.516,-86
efficientnet_es,26.621,73.379,45.112,54.888,5.44,224,0.875,bicubic,-51.445,-48.814,+2
res2net50_26w_6s,26.595,73.405,43.990,56.010,37.05,224,0.875,bilinear,-51.975,-50.134,-16
dla60x,26.552,73.448,45.023,54.977,17.35,224,0.875,bilinear,-51.694,-48.994,-6
regnety_080,26.524,73.476,44.359,55.641,39.18,224,0.875,bicubic,-53.352,-50.471,-67
tf_efficientnet_b0,26.485,73.515,45.646,54.354,5.29,224,0.875,bicubic,-50.363,-47.582,+30
res2net50_14w_8s,26.483,73.517,44.371,55.629,25.06,224,0.875,bilinear,-51.667,-49.477,-4
tv_resnet101,26.963,73.037,45.234,54.766,44.55,224,0.875,bilinear,-50.411,-48.306,+33
resnext50d_32x4d,26.876,73.124,44.436,55.564,25.05,224,0.875,bicubic,-52.800,-50.430,-49
regnetx_120,26.868,73.132,44.682,55.318,46.11,224,0.875,bicubic,-52.728,-50.056,-48
rexnet_100,26.831,73.169,45.369,54.631,4.80,224,0.875,bicubic,-51.027,-48.501,+19
densenet169,26.829,73.171,45.373,54.627,14.15,224,0.875,bicubic,-49.077,-47.653,+55
legacy_seresnext101_32x4d,26.811,73.189,43.497,56.503,48.96,224,0.875,bilinear,-53.417,-51.521,-75
regnety_120,26.788,73.212,44.454,55.546,51.82,224,0.875,bicubic,-53.578,-50.672,-85
regnetx_064,26.784,73.216,44.927,55.073,26.21,224,0.875,bicubic,-52.288,-49.531,-28
regnetx_032,26.703,73.297,45.236,54.764,15.30,224,0.875,bicubic,-51.469,-48.852,+2
legacy_seresnet152,26.676,73.324,43.947,56.053,66.82,224,0.875,bilinear,-51.984,-50.423,-16
densenet121,26.664,73.336,45.900,54.100,7.98,224,0.875,bicubic,-48.914,-46.752,+53
tf_efficientnet_el,26.623,73.377,44.648,55.352,10.59,300,0.904,bicubic,-53.817,-50.516,-93
efficientnet_es,26.621,73.379,45.112,54.888,5.44,224,0.875,bicubic,-51.445,-48.814,0
res2net50_26w_6s,26.595,73.405,43.990,56.010,37.05,224,0.875,bilinear,-51.975,-50.134,-18
dla60x,26.552,73.448,45.023,54.977,17.35,224,0.875,bilinear,-51.694,-48.994,-8
regnety_080,26.524,73.476,44.359,55.641,39.18,224,0.875,bicubic,-53.352,-50.471,-73
tf_efficientnet_b0,26.485,73.515,45.646,54.354,5.29,224,0.875,bicubic,-50.363,-47.582,+32
res2net50_14w_8s,26.483,73.517,44.371,55.629,25.06,224,0.875,bilinear,-51.667,-49.477,-6
gluon_resnet50_v1b,26.436,73.564,44.035,55.965,25.56,224,0.875,bicubic,-51.144,-49.681,+11
regnetx_040,26.243,73.757,44.438,55.562,22.12,224,0.875,bicubic,-52.239,-49.806,-19
dpn68,26.129,73.871,44.228,55.772,12.61,224,0.875,bicubic,-50.189,-48.750,+33
hrnet_w18,25.986,74.014,44.813,55.187,21.30,224,0.875,bilinear,-50.772,-48.631,+27
regnety_040,25.923,74.077,43.848,56.152,20.65,224,0.875,bicubic,-53.297,-50.808,-47
resnet34,25.888,74.112,43.982,56.018,21.80,224,0.875,bilinear,-49.222,-48.302,+47
res2net50_26w_4s,25.866,74.134,43.155,56.845,25.70,224,0.875,bilinear,-52.098,-50.699,-4
tresnet_m_448,25.852,74.148,42.874,57.126,31.39,448,0.875,bilinear,-55.862,-52.698,-128
gluon_resnet50_v1c,25.784,74.216,43.031,56.969,25.58,224,0.875,bicubic,-52.228,-50.957,-10
selecsls60,25.729,74.272,44.065,55.935,30.67,224,0.875,bicubic,-52.254,-49.763,-8
dla60_res2net,25.652,74.348,43.599,56.401,20.85,224,0.875,bilinear,-52.812,-50.607,-25
dla60_res2next,25.640,74.360,43.670,56.330,17.03,224,0.875,bilinear,-52.800,-50.482,-24
mixnet_l,25.512,74.488,43.455,56.545,7.33,224,0.875,bicubic,-53.464,-50.727,-46
tf_efficientnet_lite1,25.499,74.501,43.585,56.415,5.42,240,0.882,bicubic,-51.143,-49.641,+19
efficientnet_b1,25.469,74.531,43.284,56.716,7.79,240,0.875,bicubic,-53.229,-50.860,-38
regnetx_040,26.243,73.757,44.438,55.562,22.12,224,0.875,bicubic,-52.239,-49.806,-21
dpn68,26.129,73.871,44.228,55.772,12.61,224,0.875,bicubic,-50.189,-48.750,+35
hrnet_w18,25.986,74.014,44.813,55.187,21.30,224,0.875,bilinear,-50.772,-48.631,+29
regnety_040,25.923,74.077,43.848,56.152,20.65,224,0.875,bicubic,-53.297,-50.808,-50
resnet34,25.888,74.112,43.982,56.018,21.80,224,0.875,bilinear,-49.222,-48.302,+49
res2net50_26w_4s,25.866,74.134,43.155,56.845,25.70,224,0.875,bilinear,-52.098,-50.699,-6
tresnet_m_448,25.852,74.148,42.874,57.126,31.39,448,0.875,bilinear,-55.862,-52.698,-140
gluon_resnet50_v1c,25.784,74.216,43.031,56.969,25.58,224,0.875,bicubic,-52.228,-50.957,-12
selecsls60,25.729,74.272,44.065,55.935,30.67,224,0.875,bicubic,-52.254,-49.763,-10
dla60_res2net,25.652,74.348,43.599,56.401,20.85,224,0.875,bilinear,-52.812,-50.607,-28
dla60_res2next,25.640,74.360,43.670,56.330,17.03,224,0.875,bilinear,-52.800,-50.482,-27
mixnet_l,25.512,74.488,43.455,56.545,7.33,224,0.875,bicubic,-53.464,-50.727,-48
tf_efficientnet_lite1,25.499,74.501,43.585,56.415,5.42,240,0.882,bicubic,-51.143,-49.641,+21
efficientnet_b1,25.469,74.531,43.284,56.716,7.79,240,0.875,bicubic,-53.229,-50.860,-41
tv_resnext50_32x4d,25.455,74.545,42.787,57.213,25.03,224,0.875,bilinear,-52.165,-50.909,-7
tf_mixnet_l,25.422,74.578,42.534,57.466,7.33,224,0.875,bicubic,-53.352,-51.464,-43
res2next50,25.389,74.611,42.508,57.492,24.67,224,0.875,bilinear,-52.857,-51.384,-26
regnety_032,25.332,74.668,42.911,57.089,19.44,224,0.875,bicubic,-53.554,-51.501,-49
selecsls60b,25.332,74.668,43.559,56.441,32.77,224,0.875,bicubic,-53.080,-50.614,-31
dla102,25.316,74.684,43.827,56.173,33.27,224,0.875,bilinear,-52.716,-50.119,-23
wide_resnet50_2,25.308,74.692,42.178,57.822,68.88,224,0.875,bilinear,-53.170,-51.916,-37
resnest14d,25.284,74.716,44.114,55.886,10.61,224,0.875,bilinear,-50.222,-48.404,+23
tf_mixnet_l,25.422,74.578,42.534,57.466,7.33,224,0.875,bicubic,-53.352,-51.464,-46
res2next50,25.389,74.611,42.508,57.492,24.67,224,0.875,bilinear,-52.857,-51.384,-28
legacy_seresnet101,25.334,74.666,42.825,57.175,49.33,224,0.875,bilinear,-53.048,-51.439,-32
selecsls60b,25.332,74.668,43.559,56.441,32.77,224,0.875,bicubic,-53.080,-50.614,-34
dla102,25.316,74.684,43.827,56.173,33.27,224,0.875,bilinear,-52.716,-50.119,-25
resnest14d,25.284,74.716,44.114,55.886,10.61,224,0.875,bilinear,-50.220,-48.404,+26
legacy_seresnext50_32x4d,25.210,74.790,41.936,58.064,27.56,224,0.875,bilinear,-53.868,-52.500,-63
res2net50_48w_2s,25.027,74.973,42.208,57.792,25.29,224,0.875,bilinear,-52.495,-51.346,-11
efficientnet_b0,25.015,74.985,42.787,57.213,5.29,224,0.875,bicubic,-52.683,-50.745,-17
gluon_resnet34_v1b,24.939,75.061,42.243,57.757,21.80,224,0.875,bicubic,-49.649,-49.747,+34
efficientnet_b0,25.015,74.985,42.787,57.213,5.29,224,0.875,bicubic,-52.683,-50.745,-18
gluon_resnet34_v1b,24.939,75.061,42.243,57.757,21.80,224,0.875,bicubic,-49.649,-49.747,+37
mobilenetv2_120d,24.937,75.063,43.058,56.942,5.83,224,0.875,bicubic,-52.347,-50.434,-7
dla60,24.933,75.067,43.296,56.704,22.04,224,0.875,bilinear,-52.099,-50.022,-3
regnety_016,24.811,75.189,42.616,57.384,11.20,224,0.875,bicubic,-53.051,-51.104,-24
tf_efficientnet_em,24.542,75.458,42.412,57.588,6.90,240,0.882,bicubic,-54.166,-51.902,-54
dla60,24.933,75.067,43.296,56.704,22.04,224,0.875,bilinear,-52.099,-50.022,-1
regnety_016,24.811,75.189,42.616,57.384,11.20,224,0.875,bicubic,-53.051,-51.104,-26
tf_efficientnet_em,24.542,75.458,42.412,57.588,6.90,240,0.882,bicubic,-54.166,-51.902,-57
tf_efficientnet_lite2,24.530,75.470,42.280,57.720,6.09,260,0.890,bicubic,-52.938,-51.474,-17
skresnet18,24.483,75.517,42.536,57.464,11.96,224,0.875,bicubic,-48.555,-48.632,+35
regnetx_016,24.473,75.527,42.514,57.486,9.19,224,0.875,bicubic,-52.477,-50.906,-7
tf_efficientnet_lite0,24.373,75.627,42.487,57.513,4.65,224,0.875,bicubic,-50.457,-49.689,+22
tv_resnet50,24.070,75.930,41.313,58.687,25.56,224,0.875,bilinear,-52.068,-51.551,+3
skresnet18,24.483,75.517,42.536,57.464,11.96,224,0.875,bicubic,-48.555,-48.632,+38
regnetx_016,24.473,75.527,42.514,57.486,9.19,224,0.875,bicubic,-52.477,-50.906,-5
tf_efficientnet_lite0,24.373,75.627,42.487,57.513,4.65,224,0.875,bicubic,-50.457,-49.689,+24
tv_resnet50,24.070,75.930,41.313,58.687,25.56,224,0.875,bilinear,-52.068,-51.551,+5
legacy_seresnet34,24.027,75.973,41.909,58.091,21.96,224,0.875,bilinear,-50.781,-50.215,+23
resnet18d,23.929,76.071,42.302,57.698,11.71,224,0.875,bicubic,-48.331,-48.394,+38
efficientnet_lite0,23.909,76.091,42.088,57.912,4.65,224,0.875,bicubic,-51.575,-50.422,+11
tv_densenet121,23.844,76.156,41.925,58.075,7.98,224,0.875,bicubic,-50.894,-50.225,+20
tf_efficientnet_es,23.819,76.181,41.331,58.669,5.44,224,0.875,bicubic,-53.439,-52.263,-16
tv_densenet121,23.844,76.156,41.925,58.075,7.98,224,0.875,bicubic,-50.894,-50.225,+21
tf_efficientnet_es,23.819,76.181,41.331,58.669,5.44,224,0.875,bicubic,-53.439,-52.263,-18
mobilenetv2_140,23.712,76.288,41.477,58.523,6.11,224,0.875,bicubic,-52.804,-51.520,-4
mixnet_m,23.710,76.290,41.141,58.859,5.01,224,0.875,bicubic,-53.550,-52.283,-19
dla34,23.669,76.331,41.551,58.449,15.74,224,0.875,bilinear,-50.961,-50.527,+18
ese_vovnet19b_dw,23.535,76.465,41.288,58.712,6.54,224,0.875,bicubic,-53.263,-51.980,-12
tf_mixnet_m,23.484,76.516,40.989,59.011,5.01,224,0.875,bicubic,-53.458,-52.163,-16
mixnet_m,23.710,76.290,41.141,58.859,5.01,224,0.875,bicubic,-53.550,-52.283,-21
dla34,23.669,76.331,41.551,58.449,15.74,224,0.875,bilinear,-50.961,-50.527,+19
legacy_seresnet50,23.651,76.349,40.091,59.909,28.09,224,0.875,bilinear,-53.978,-53.657,-36
ese_vovnet19b_dw,23.535,76.465,41.288,58.712,6.54,224,0.875,bicubic,-53.263,-51.980,-13
tf_mixnet_m,23.484,76.516,40.989,59.011,5.01,224,0.875,bicubic,-53.458,-52.163,-17
tv_resnet34,23.473,76.527,41.367,58.633,21.80,224,0.875,bilinear,-49.839,-50.059,+21
selecsls42b,23.357,76.643,40.677,59.323,32.46,224,0.875,bicubic,-53.817,-52.713,-22
mobilenetv2_110d,23.066,76.934,40.716,59.284,4.52,224,0.875,bicubic,-51.970,-51.470,+9
mobilenetv3_large_100,22.655,77.345,40.781,59.219,5.48,224,0.875,bicubic,-53.111,-51.761,-6
mobilenetv3_rw,22.630,77.370,40.374,59.626,5.48,224,0.875,bicubic,-53.004,-52.334,-5
tf_mobilenetv3_large_100,22.569,77.431,39.767,60.233,5.48,224,0.875,bilinear,-52.949,-52.839,-4
hrnet_w18_small_v2,22.337,77.663,39.861,60.139,15.60,224,0.875,bilinear,-52.777,-52.555,+2
regnety_008,22.119,77.881,38.900,61.100,6.26,224,0.875,bicubic,-54.197,-54.166,-14
seresnext26tn_32x4d,21.991,78.009,38.482,61.518,16.81,224,0.875,bicubic,-55.995,-55.264,-51
seresnext26t_32x4d,21.985,78.015,38.570,61.430,16.82,224,0.875,bicubic,-56.013,-55.138,-53
regnety_006,21.971,78.029,38.955,61.045,6.06,224,0.875,bicubic,-53.275,-53.577,-4
regnetx_008,21.940,78.060,38.928,61.072,7.26,224,0.875,bicubic,-53.098,-53.408,-1
resnet26d,21.907,78.094,38.619,61.381,16.01,224,0.875,bicubic,-54.789,-54.531,-24
semnasnet_100,21.903,78.097,38.600,61.400,3.89,224,0.875,bicubic,-53.545,-54.004,-9
selecsls42b,23.357,76.643,40.677,59.323,32.46,224,0.875,bicubic,-53.817,-52.713,-25
mobilenetv2_110d,23.066,76.934,40.716,59.284,4.52,224,0.875,bicubic,-51.970,-51.470,+8
mobilenetv3_large_100,22.655,77.345,40.781,59.219,5.48,224,0.875,bicubic,-53.111,-51.761,-7
mobilenetv3_rw,22.630,77.370,40.374,59.626,5.48,224,0.875,bicubic,-53.004,-52.334,-6
tf_mobilenetv3_large_100,22.569,77.431,39.767,60.233,5.48,224,0.875,bilinear,-52.949,-52.839,-5
hrnet_w18_small_v2,22.337,77.663,39.861,60.139,15.60,224,0.875,bilinear,-52.777,-52.555,+1
regnety_008,22.119,77.881,38.900,61.100,6.26,224,0.875,bicubic,-54.197,-54.166,-15
seresnext26tn_32x4d,21.991,78.009,38.482,61.518,16.81,224,0.875,bicubic,-55.995,-55.264,-56
seresnext26t_32x4d,21.985,78.015,38.570,61.430,16.82,224,0.875,bicubic,-56.013,-55.138,-58
regnety_006,21.971,78.029,38.955,61.045,6.06,224,0.875,bicubic,-53.275,-53.577,-5
regnetx_008,21.940,78.060,38.928,61.072,7.26,224,0.875,bicubic,-53.098,-53.408,-2
resnet26d,21.907,78.094,38.619,61.381,16.01,224,0.875,bicubic,-54.789,-54.531,-25
semnasnet_100,21.903,78.097,38.600,61.400,3.89,224,0.875,bicubic,-53.545,-54.004,-10
regnetx_006,21.738,78.263,38.904,61.096,6.20,224,0.875,bicubic,-52.115,-52.768,+5
gluon_resnet18_v1b,21.549,78.451,38.869,61.131,11.69,224,0.875,bicubic,-49.287,-50.893,+14
fbnetc_100,21.484,78.516,38.161,61.839,5.57,224,0.875,bilinear,-53.640,-54.225,-9
gluon_resnet18_v1b,21.549,78.451,38.869,61.131,11.69,224,0.875,bicubic,-49.287,-50.893,+16
fbnetc_100,21.484,78.516,38.161,61.839,5.57,224,0.875,bilinear,-53.640,-54.225,-10
mnasnet_100,21.350,78.650,37.719,62.281,4.38,224,0.875,bicubic,-53.308,-54.395,-3
resnet26,21.295,78.705,38.018,61.982,16.00,224,0.875,bicubic,-53.997,-54.552,-13
resnet26,21.295,78.705,38.018,61.982,16.00,224,0.875,bicubic,-53.997,-54.552,-14
ssl_resnet18,21.278,78.722,39.113,60.887,11.69,224,0.875,bilinear,-51.332,-52.303,+6
mixnet_s,21.254,78.746,38.187,61.813,4.13,224,0.875,bicubic,-54.738,-54.609,-25
seresnext26d_32x4d,21.252,78.748,37.311,62.689,16.81,224,0.875,bicubic,-56.350,-56.297,-55
regnetx_004,20.898,79.102,37.566,62.434,5.16,224,0.875,bicubic,-51.498,-53.264,+4
spnasnet_100,20.863,79.137,37.896,62.104,4.42,224,0.875,bilinear,-53.221,-53.922,-6
mobilenetv2_100,20.773,79.227,37.759,62.241,3.50,224,0.875,bicubic,-52.197,-53.257,0
tf_mixnet_s,20.470,79.530,36.607,63.393,4.13,224,0.875,bicubic,-55.180,-56.021,-27
regnety_004,20.415,79.585,37.002,62.998,4.34,224,0.875,bicubic,-53.619,-54.750,-8
hrnet_w18_small,20.368,79.632,37.093,62.907,13.19,224,0.875,bilinear,-51.974,-53.585,0
tf_mobilenetv3_large_075,20.366,79.634,36.764,63.236,3.99,224,0.875,bilinear,-53.072,-54.586,-8
mixnet_s,21.254,78.746,38.187,61.813,4.13,224,0.875,bicubic,-54.738,-54.609,-26
seresnext26d_32x4d,21.252,78.748,37.311,62.689,16.81,224,0.875,bicubic,-56.350,-56.297,-58
legacy_seresnext26_32x4d,21.093,78.907,37.633,62.367,16.79,224,0.875,bicubic,-56.011,-55.683,-44
regnetx_004,20.898,79.102,37.566,62.434,5.16,224,0.875,bicubic,-51.498,-53.264,+3
spnasnet_100,20.863,79.137,37.896,62.104,4.42,224,0.875,bilinear,-53.221,-53.922,-7
legacy_seresnet18,20.837,79.162,37.619,62.381,11.78,224,0.875,bicubic,-50.905,-52.715,+5
mobilenetv2_100,20.773,79.227,37.759,62.241,3.50,224,0.875,bicubic,-52.197,-53.257,-2
tf_mixnet_s,20.470,79.530,36.607,63.393,4.13,224,0.875,bicubic,-55.180,-56.023,-30
regnety_004,20.415,79.585,37.002,62.998,4.34,224,0.875,bicubic,-53.619,-54.750,-10
hrnet_w18_small,20.368,79.632,37.093,62.907,13.19,224,0.875,bilinear,-51.974,-53.585,-2
tf_mobilenetv3_large_075,20.366,79.634,36.764,63.236,3.99,224,0.875,bilinear,-53.072,-54.586,-10
resnet18,20.228,79.772,37.261,62.739,11.69,224,0.875,bilinear,-49.520,-51.816,+2
tf_mobilenetv3_large_minimal_100,20.122,79.878,36.908,63.092,3.92,224,0.875,bilinear,-52.126,-53.722,-2
tf_mobilenetv3_large_minimal_100,20.122,79.878,36.908,63.092,3.92,224,0.875,bilinear,-52.126,-53.722,-3
regnety_002,17.450,82.550,32.431,67.569,3.16,224,0.875,bicubic,-52.802,-57.109,-1
regnetx_002,16.962,83.038,32.225,67.775,2.68,224,0.875,bicubic,-51.800,-56.331,0
dla60x_c,16.310,83.690,31.761,68.239,1.32,224,0.875,bilinear,-51.582,-56.665,+1

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 ig_resnext101_32x48d 58.810 41.190 81.076 18.924 828.41 224 0.875 bilinear -26.618 -16.496 +5
3 ig_resnext101_32x32d 58.386 41.614 80.381 19.619 468.53 224 0.875 bilinear -26.708 -17.057 +9 +10
4 ig_resnext101_32x16d 57.690 42.310 79.905 20.095 194.03 224 0.875 bilinear -26.480 -17.291 +14 +16
5 swsl_resnext101_32x16d 57.458 42.542 80.385 19.615 194.03 224 0.875 bilinear -25.888 -16.461 +18 +20
6 swsl_resnext101_32x8d 56.438 43.562 78.944 21.056 88.79 224 0.875 bilinear -27.845 -18.232 +10 +11
7 ig_resnext101_32x8d 54.918 45.082 77.534 22.466 88.79 224 0.875 bilinear -27.770 -19.103 +23 +25
8 swsl_resnext101_32x4d 53.603 46.397 76.347 23.653 44.18 224 0.875 bilinear -29.627 -20.413 +17 +19
9 tf_efficientnet_l2_ns_475 51.494 48.506 73.928 26.072 480.31 475 0.936 bicubic -36.740 -24.618 -6
10 swsl_resnext50_32x4d 50.437 49.563 73.368 26.633 25.03 224 0.875 bilinear -31.745 -22.862 +24 +27
11 swsl_resnet50 49.541 50.459 72.334 27.666 25.56 224 0.875 bilinear -31.625 -23.638 +38 +46
12 tf_efficientnet_b7_ns 47.800 52.200 69.640 30.360 66.35 600 0.949 bicubic -39.040 -28.454 -8
13 tf_efficientnet_b6_ns 47.761 52.239 69.968 30.032 43.04 528 0.942 bicubic -38.691 -27.914 -8
14 tf_efficientnet_l2_ns 47.570 52.430 70.019 29.981 480.31 800 0.960 bicubic -40.782 -28.631 -12
15 tf_efficientnet_b8_ap 45.774 54.226 67.911 32.089 87.41 672 0.954 bicubic -39.596 -29.383 -6
16 tf_efficientnet_b5_ns 45.615 54.385 67.842 32.158 30.39 456 0.934 bicubic -40.473 -29.910 -10
17 tf_efficientnet_b4_ns 43.450 56.550 65.519 34.481 19.34 380 0.922 bicubic -41.713 -31.951 -7
18 tf_efficientnet_b8 vit_large_patch16_384 42.508 43.300 57.492 56.700 64.857 66.454 35.143 33.546 87.41 304.72 672 384 0.954 1.000 bicubic -42.862 -41.858 -32.533 -30.902 -10 -7
19 tf_efficientnet_b8 42.508 57.492 64.857 35.143 87.41 672 0.954 bicubic -42.862 -32.533 -11
20 tf_efficientnet_b7 41.431 58.569 63.017 36.983 66.35 600 0.949 bicubic -43.505 -34.186 -6
21 tf_efficientnet_b7_ap 41.429 58.571 62.874 37.126 66.35 600 0.949 bicubic -43.691 -34.378 -9
22 tf_efficientnet_b5_ap 41.418 58.582 62.084 37.916 30.39 456 0.934 bicubic -42.834 -34.890 -4
23 tf_efficientnet_b6_ap 41.099 58.901 62.355 37.645 43.04 528 0.942 bicubic -43.689 -34.783 -8
24 tf_efficientnet_b4_ap 40.484 59.516 61.723 38.277 19.34 380 0.922 bicubic -42.764 -34.669 +1 +2
25 tf_efficientnet_b3_ns 39.584 60.416 61.453 38.547 12.23 300 0.904 bicubic -44.464 -35.457 -4 -3
26 tf_efficientnet_b5 38.356 61.644 59.913 40.087 30.39 456 0.934 bicubic -45.456 -36.835 -3 -2
27 resnest269e vit_base_patch16_384 37.315 38.099 62.685 61.901 57.468 60.428 42.532 39.572 110.93 86.86 416 384 0.928 1.000 bicubic -47.203 -46.111 -39.518 -36.790 -11 -8
28 tf_efficientnet_b3_ap resnest269e 37.055 37.315 62.945 62.685 57.240 57.468 42.760 42.532 12.23 110.93 300 416 0.904 0.928 bicubic -44.767 -47.203 -38.384 -39.518 +12 -12
29 tf_efficientnet_b2_ns tf_efficientnet_b3_ap 36.183 37.055 63.817 62.945 57.551 57.240 42.449 42.760 9.11 12.23 260 300 0.890 0.904 bicubic -46.197 -44.767 -38.697 -38.384 +4 +14
30 ecaresnet101d efficientnet_b3a 36.004 36.420 63.996 63.580 56.165 56.845 43.835 43.155 44.57 12.23 224 320 0.875 1.000 bicubic -46.168 -45.822 -39.881 -39.269 +6
31 resnest200e tf_efficientnet_b2_ns 35.931 36.183 64.069 63.817 55.849 57.551 44.151 42.449 70.20 9.11 320 260 0.909 0.890 bicubic -47.901 -46.197 -41.045 -38.697 -9 +3
32 swsl_resnet18 efficientnet_b3 35.858 36.037 64.142 63.963 58.455 56.370 41.545 43.630 11.69 12.23 224 300 0.875 0.904 bilinear bicubic -37.418 -46.039 -33.279 -39.650 +195 +7
33 resnest101e ecaresnet101d 35.373 36.004 64.627 63.996 55.780 56.165 44.220 43.835 48.28 44.57 256 224 0.875 bilinear bicubic -47.517 -46.168 -40.540 -39.881 -4 +5
34 ssl_resnext101_32x16d resnest200e 34.603 35.931 65.397 64.069 55.931 55.849 44.069 44.151 194.03 70.20 224 320 0.875 0.909 bilinear bicubic -47.241 -47.901 -40.165 -41.045 +5 -11
35 resnest50d_4s2x40d swsl_resnet18 34.355 35.858 65.645 64.142 54.725 58.455 45.275 41.545 30.42 11.69 224 0.875 bicubic bilinear -46.753 -37.418 -40.833 -33.279 +16 +210
36 resnest101e 35.373 64.627 55.780 44.220 48.28 256 0.875 bilinear -47.517 -40.540 -6
37 vit_large_patch32_384 34.673 65.326 55.729 44.271 306.63 384 1.000 bicubic -46.833 -40.363 +13
38 ssl_resnext101_32x16d 34.605 65.395 55.931 44.069 194.03 224 0.875 bilinear -47.239 -40.165 +4
39 regnety_032 34.383 65.617 54.283 45.717 19.44 224 0.875 bicubic -47.619 -41.623 +2
40 resnest50d_4s2x40d 34.355 65.645 54.725 45.275 30.42 224 0.875 bicubic -46.753 -40.833 +18
41 tf_efficientnet_b1_ns 34.157 65.843 55.489 44.511 7.79 240 0.882 bicubic -47.231 -40.249 +12
42 tf_efficientnet_b4 34.064 65.936 54.198 45.802 19.34 380 0.922 bicubic -48.958 -42.102 -9 -13
43 ssl_resnext101_32x8d 34.017 65.983 55.601 44.399 88.79 224 0.875 bilinear -47.599 -40.437 +6 +5
44 tf_efficientnet_b6 33.998 66.002 54.544 45.456 43.04 528 0.942 bicubic -50.112 -42.342 -19 -23
45 efficientnet_b3_pruned 33.996 66.004 54.108 45.892 9.86 300 0.904 bicubic -46.862 -41.134 +18 +20
46 tresnet_xl 33.257 66.743 52.294 47.706 78.44 224 0.875 bilinear -48.797 -43.642 -4 -6
47 resnest50d_1s4x24d 33.147 66.853 52.839 47.161 25.68 224 0.875 bicubic -47.841 -42.483 +11 +13
48 rexnet_200 32.987 67.013 52.939 47.061 16.37 224 0.875 bicubic -48.645 -42.729 0 -1
49 resnest50d 32.972 67.028 52.713 47.287 27.48 224 0.875 bilinear -48.002 -42.665 +10 +12
50 tf_efficientnet_b3 32.860 67.140 52.950 47.050 12.23 300 0.904 bicubic -48.776 -42.767 -3 -4
51 pnasnet5large 32.848 67.152 50.500 49.500 86.06 331 0.911 bicubic -49.934 -45.540 -16 -20
52 nasnetalarge 32.775 67.225 50.141 49.859 88.75 331 0.911 bicubic -49.845 -45.906 -15 -19
53 inception_resnet_v2 32.738 67.262 50.648 49.352 55.84 299 0.897 bicubic -47.720 -44.658 +20 +23
54 gluon_resnet152_v1d 32.734 67.266 51.088 48.912 60.21 224 0.875 bicubic -47.740 -44.118 +17 +20
55 tf_efficientnet_b2_ap vit_base_patch16_224 32.681 32.722 67.319 67.278 52.239 53.157 47.761 46.843 9.11 86.54 260 224 0.890 0.900 bicubic -47.619 -46.626 -42.789 -41.355 +27 +66
56 tresnet_l tf_efficientnet_b2_ap 32.559 32.681 67.441 67.319 51.139 52.239 48.861 47.761 55.99 9.11 224 260 0.875 0.890 bilinear bicubic -48.929 -47.619 -44.485 -42.789 -4 +29
57 ens_adv_inception_resnet_v2 tresnet_l 32.370 32.559 67.629 67.441 50.427 51.139 49.573 48.861 55.84 55.99 299 224 0.897 0.875 bicubic bilinear -47.611 -48.931 -44.509 -44.485 +36 -6
58 gluon_resnet152_v1s vit_base_patch32_384 32.331 32.461 67.669 67.539 50.526 52.444 49.474 47.556 60.32 88.30 224 384 0.875 1.000 bicubic -48.685 -49.191 -44.886 -43.684 -1 -13
59 gluon_seresnext101_64x4d wide_resnet50_2 32.205 32.439 67.795 67.561 50.319 51.459 49.681 48.541 88.23 68.88 224 0.875 bicubic -48.689 -49.017 -44.989 -44.073 +3 -7
60 gluon_seresnext101_32x4d ens_adv_inception_resnet_v2 32.107 32.370 67.893 67.629 51.237 50.427 48.763 49.573 48.96 55.84 224 299 0.875 0.897 bicubic -48.797 -47.611 -44.057 -44.509 +1 +37
61 gluon_resnet152_v1s 32.331 67.669 50.526 49.474 60.32 224 0.875 bicubic -48.685 -44.886 -2
62 gluon_seresnext101_64x4d 32.205 67.795 50.319 49.681 88.23 224 0.875 bicubic -48.689 -44.989 +2
63 gluon_seresnext101_32x4d 32.107 67.893 51.237 48.763 48.96 224 0.875 bicubic -48.797 -44.057 0
64 seresnext50_32x4d 31.985 68.015 51.231 48.769 27.56 224 0.875 bicubic -49.281 -44.389 -9
65 cspresnext50 31.822 68.178 51.602 48.398 20.57 224 0.875 bilinear -48.218 -43.342 +30
66 efficientnet_b3a resnet50 31.732 31.547 68.268 68.453 51.325 50.170 48.675 49.830 12.23 25.56 320 224 1.000 0.875 bicubic -50.134 -47.491 -44.511 -44.220 -19 +74
efficientnet_b3 31.555 68.445 51.276 48.724 12.23 300 0.904 bicubic -49.939 -44.440 -12
resnet50 31.547 68.453 50.170 49.830 25.56 224 0.875 bicubic -47.491 -44.220 +68
67 ssl_resnext101_32x4d 31.423 68.577 52.121 47.879 44.18 224 0.875 bilinear -49.501 -43.607 -5
68 inception_v4 31.378 68.622 49.244 50.756 42.68 299 0.875 bicubic -48.790 -45.724 +20 +22
69 rexnet_150 31.366 68.634 51.288 48.712 9.73 224 0.875 bicubic -48.944 -43.878 +13 +14
70 ecaresnetlight cspresnet50 31.121 31.270 68.879 68.730 50.243 51.223 49.757 48.777 30.16 21.62 224 256 0.875 0.887 bicubic bilinear -49.341 -48.304 -45.007 -43.489 +4 +44
71 ecaresnetlight 31.121 68.879 50.243 49.757 30.16 224 0.875 bicubic -49.341 -45.005 +4
72 gluon_resnet101_v1s 31.115 68.885 49.793 50.207 44.67 224 0.875 bicubic -49.187 -45.367 +12
73 tf_efficientnet_cc_b0_8e 31.087 68.913 50.761 49.239 24.01 224 0.875 bicubic -46.821 -42.892 +100 +105
74 ecaresnet50d 31.058 68.942 50.848 49.152 25.58 224 0.875 bicubic -49.534 -44.472 -2 -3
75 resnet50d 31.020 68.980 49.808 50.192 25.58 224 0.875 bicubic -49.510 -45.352 -3
76 cspdarknet53 31.018 68.981 50.390 49.610 27.64 256 0.887 bilinear -49.040 -44.694 +18
77 tresnet_m 30.997 69.003 48.682 51.318 31.39 224 0.875 bilinear -49.805 -46.178 -7 -9
78 gluon_resnet152_v1c 30.991 69.009 48.924 51.076 60.21 224 0.875 bicubic -48.919 -45.916 +22
79 gluon_resnext101_64x4d 30.987 69.013 48.549 51.451 83.46 224 0.875 bicubic -49.617 -46.439 -7 -9
80 tf_efficientnet_cc_b1_8e 30.899 69.101 50.080 49.920 39.72 240 0.882 bicubic -48.409 -44.290 +42 +44
81 ecaresnet101d_pruned 30.897 69.103 50.013 49.987 24.88 224 0.875 bicubic -49.921 -45.615 -13 -15
82 gluon_resnext101_32x4d 30.877 69.123 48.537 51.463 44.18 224 0.875 bicubic -49.457 -46.389 0 -1
83 tf_efficientnet_lite4 30.830 69.170 50.386 49.614 13.01 380 0.920 bilinear -50.706 -45.282 -29 -34
84 dpn107 30.678 69.322 48.810 51.190 86.92 224 0.875 bicubic -49.478 -46.100 +7
85 ese_vovnet39b 30.657 69.343 49.875 50.125 24.57 224 0.875 bicubic -48.663 -44.837 +35 +37
86 gluon_resnet152_v1b 30.623 69.376 48.521 51.479 60.19 224 0.875 bicubic -49.063 -46.215 +24
87 tresnet_xl_448 30.614 69.386 49.069 50.931 78.44 448 0.875 bilinear -52.436 -47.104 -51 -59
88 ssl_resnext50_32x4d 30.594 69.406 50.657 49.343 25.03 224 0.875 bilinear -49.724 -44.749 -5 -6
89 gluon_resnet101_v1d 30.523 69.477 47.950 52.050 44.57 224 0.875 bicubic -49.891 -47.064 -10 -11
90 dpn68b 30.517 69.483 49.158 49.162 50.842 50.838 12.61 224 0.875 bicubic -48.699 -45.256 -45.252 +39 +42
91 resnest26d 30.490 69.510 50.677 49.323 17.07 224 0.875 bilinear -47.988 -43.621 +63 +67
92 efficientnet_b2a 30.435 69.565 49.698 50.302 9.11 288 1.000 bicubic -50.177 -45.620 -21 -23
93 tf_efficientnet_b1_ap 30.421 69.579 49.553 50.447 7.79 240 0.882 bicubic -48.859 -44.753 +33 +35
94 seresnet50 30.077 69.923 49.292 50.708 28.09 224 0.875 bicubic -50.197 -45.778 -6 -7
95 dpn98 30.067 69.933 48.244 51.756 61.57 224 0.875 bicubic -49.575 -46.354 +17
96 tf_efficientnet_b2 30.026 69.974 49.581 50.419 9.11 260 0.890 bicubic -50.060 -45.327 -3
97 dpn131 30.024 69.976 48.146 51.854 79.25 224 0.875 bicubic -49.798 -46.564 +7
98 dpn92 legacy_senet154 29.953 30.001 70.047 69.999 49.162 48.034 50.838 51.966 37.67 115.09 224 0.875 bicubic bilinear -50.055 -51.309 -45.674 -47.462 -2 -44
99 gluon_senet154 dpn92 29.877 29.953 70.123 70.047 47.894 49.162 52.106 50.838 115.09 37.67 224 0.875 bicubic -51.357 -50.055 -47.454 -45.674 -41 -3
100 xception gluon_senet154 29.865 29.877 70.135 70.123 48.686 47.894 51.314 52.106 22.86 115.09 299 224 0.897 0.875 bicubic -49.187 -51.357 -45.706 -47.454 +35 -44
101 adv_inception_v3 xception 29.816 29.865 70.184 70.135 47.847 48.686 52.153 51.314 23.83 22.86 299 0.875 0.897 bicubic -47.766 -49.187 -45.889 -45.706 +80 +38
102 gluon_xception65 adv_inception_v3 29.784 29.816 70.216 70.184 47.755 47.847 52.245 52.153 39.92 23.83 299 0.903 0.875 bicubic -49.932 -47.766 -47.105 -45.889 +7 +85
103 resnetblur50 gluon_xception65 29.625 29.784 70.375 70.216 48.248 47.755 51.752 52.245 25.56 39.92 224 299 0.875 0.903 bicubic -49.661 -49.932 -46.390 -47.105 +22 +6
104 efficientnet_b2 resnetblur50 29.615 29.625 70.385 70.375 48.777 48.248 51.223 51.752 9.11 25.56 260 224 0.875 bicubic -50.777 -49.661 -46.299 -46.390 -24 +23
105 efficientnet_b2 29.615 70.385 48.777 51.223 9.11 260 0.875 bicubic -50.777 -46.299 -26
106 efficientnet_em 29.486 70.514 48.946 51.054 6.90 240 0.882 bicubic -49.766 -45.848 +23
107 resnext101_32x8d 29.439 70.561 48.486 51.514 88.79 224 0.875 bilinear -49.869 -46.032 +16
108 ssl_resnet50 29.423 70.577 49.781 50.219 25.56 224 0.875 bilinear -49.799 -45.051 +21 +22
109 resnext50_32x4d 29.331 70.669 47.397 52.603 25.03 224 0.875 bicubic -50.438 -47.201 -1 -3
110 ecaresnet50d_pruned resnet34d 29.215 29.328 70.785 70.671 48.453 48.409 51.547 51.591 19.94 21.82 224 0.875 bicubic -50.501 -47.788 -46.427 -44.973 0 +90
111 tresnet_l_448 ecaresnet50d_pruned 29.165 29.215 70.835 70.785 47.232 48.453 52.768 51.547 55.99 19.94 448 224 0.875 bilinear bicubic -53.103 -50.501 -48.744 -46.427 -66 -3
112 gluon_inception_v3 tresnet_l_448 29.124 29.165 70.876 70.835 46.957 47.232 53.043 52.768 23.83 55.99 299 448 0.875 bicubic bilinear -49.682 -53.103 -47.413 -48.744 +33 -77
113 xception71 gluon_inception_v3 29.047 29.122 70.953 70.878 47.405 46.957 52.595 53.043 42.34 23.83 299 0.903 0.875 bicubic -50.826 -49.684 -47.517 -47.413 -9 +33
114 hrnet_w64 xception71 28.989 29.047 71.011 70.953 47.142 47.405 52.858 52.595 128.06 42.34 224 299 0.875 0.903 bilinear bicubic -50.485 -50.826 -47.510 -47.517 +5 -12
115 tf_efficientnet_b0_ns hrnet_w64 28.902 28.989 71.098 71.011 49.011 47.142 50.989 52.858 5.29 128.06 224 0.875 bicubic bilinear -49.756 -50.485 -45.365 -47.510 +36 +3
116 xception65 tf_efficientnet_b0_ns 28.896 28.902 71.104 71.098 47.167 49.011 52.833 50.989 39.92 5.29 299 224 0.903 0.875 bicubic -50.656 -49.756 -47.487 -45.365 0 +37
117 xception65 28.896 71.104 47.167 52.833 39.92 299 0.903 bicubic -50.656 -47.487 -2
118 tf_efficientnet_b1 28.886 71.114 47.503 52.497 7.79 240 0.882 bicubic -49.940 -46.695 +27
119 gluon_resnet101_v1b 28.878 71.121 46.389 53.611 44.55 224 0.875 bicubic -50.427 -48.135 +7 +6
120 skresnext50_32x4d 28.818 71.182 46.497 53.503 27.48 224 0.875 bicubic -51.338 -48.145 -25 -28
121 tf_efficientnet_lite3 28.660 71.340 47.354 52.646 8.20 300 0.904 bilinear -51.160 -47.560 -13 -16
122 gluon_seresnext50_32x4d 28.651 71.349 46.436 53.564 27.56 224 0.875 bicubic -51.267 -48.386 -21 -24
123 skresnet34 28.645 71.355 47.953 52.047 22.28 224 0.875 bicubic -48.267 -45.369 +78 +83
124 hrnet_w40 28.641 71.359 47.454 52.546 57.56 224 0.875 bilinear -50.279 -47.016 +17 +18
125 resnet152 tv_resnet152 28.533 71.467 47.118 52.882 60.19 224 0.875 bilinear -49.779 -46.920 +38 +39
126 hrnet_w48 28.413 71.587 47.586 52.414 77.47 224 0.875 bilinear -50.887 -46.926 +1 0
127 gluon_resnext50_32x4d 28.375 71.624 45.328 54.672 25.03 224 0.875 bicubic -50.978 -49.098 -5 -7
128 efficientnet_b2_pruned 28.362 71.638 47.051 52.949 8.31 260 0.890 bicubic -51.554 -47.805 -26 -29
129 tf_efficientnet_b0_ap 28.346 71.654 47.531 52.469 5.29 224 0.875 bicubic -48.740 -45.725 +68 +73
130 tf_efficientnet_cc_b0_4e 28.315 71.685 47.364 52.636 13.31 224 0.875 bicubic -48.991 -45.970 +61 +64
131 dla102x2 28.313 71.687 46.761 53.239 41.28 224 0.875 bilinear -51.135 -47.879 -10 -12
132 dla169 28.313 71.687 47.391 52.609 53.39 224 0.875 bilinear -50.375 -46.945 +19
133 mixnet_xl 28.287 71.713 46.702 53.298 11.90 224 0.875 bicubic -52.189 -48.234 -56 -60
134 gluon_resnet50_v1d 28.246 71.754 45.878 54.122 25.58 224 0.875 bicubic -50.828 -48.592 +2 +3
135 wide_resnet101_2 28.108 71.892 46.401 53.599 126.89 224 0.875 bilinear -50.748 -47.881 +9
136 gluon_resnet101_v1c 28.104 71.896 45.961 54.039 44.57 224 0.875 bicubic -51.430 -48.617 -18 -20
137 regnetx_320 28.093 71.907 45.126 54.874 107.81 224 0.875 bicubic -52.154 -49.900 -45 -49
138 densenet161 28.081 71.919 46.641 53.359 28.68 224 0.875 bicubic -49.277 -46.997 +52 +55
139 regnety_320 28.059 71.941 45.444 54.556 145.05 224 0.875 bicubic -52.753 -49.800 -67 -72
140 xception41 27.888 72.112 45.890 54.110 26.97 299 0.903 bicubic -50.628 -48.388 +14 +15
141 regnetx_160 27.817 72.183 45.617 54.383 54.28 224 0.875 bicubic -52.039 -49.213 -35 -38
142 tf_inception_v3 27.780 27.782 72.220 72.218 45.721 54.279 23.83 299 0.875 bicubic -50.078 -50.080 -47.917 -47.919 +38
143 res2net101_26w_4s 27.768 72.232 45.179 54.821 45.21 224 0.875 bilinear -51.430 -49.253 -49.189 -9 -10
144 regnety_160 27.623 72.377 45.532 54.468 83.59 224 0.875 bicubic -52.673 -49.430 -54 -58
145 hrnet_w44 27.621 72.379 45.837 54.163 67.06 224 0.875 bilinear -51.275 -48.531 -3 -2
146 inception_v3 27.556 72.444 45.263 54.737 23.83 299 0.875 bicubic -49.884 -49.882 -48.213 +42 +45
147 regnetx_080 27.405 72.595 45.002 54.998 39.57 224 0.875 bicubic -51.789 -49.558 -12
148 hrnet_w30 27.381 72.619 46.554 53.446 37.71 224 0.875 bilinear -50.825 -47.668 +19 +20
149 hrnet_w32 27.369 72.631 45.994 54.006 41.23 224 0.875 bilinear -51.081 -48.192 +11
150 gluon_resnet50_v1s 27.326 72.674 45.222 54.778 25.68 224 0.875 bicubic -51.386 -51.384 -49.016 -2
151 densenet201 27.265 72.735 46.222 53.778 20.01 224 0.875 bicubic -50.021 -47.256 +41 +44
152 densenetblur121d 27.228 72.772 46.299 53.701 8.00 224 0.875 bicubic -49.360 -46.893 +55 +60
153 regnety_064 27.220 72.780 44.847 55.153 30.58 224 0.875 bicubic -52.502 -49.921 -43 -46
154 efficientnet_b1_pruned 27.181 72.819 45.872 54.128 6.33 240 0.882 bicubic -51.055 -47.962 +12 +13
155 rexnet_130 27.094 72.906 45.933 54.067 7.56 224 0.875 bicubic -52.406 -48.749 -36 -38
156 res2net50_26w_8s vit_small_patch16_224 27.078 27.086 72.921 72.914 44.428 45.701 55.572 54.299 48.40 48.75 224 0.875 0.900 bilinear bicubic -52.120 -50.772 -49.940 -47.715 -23 +26
157 res2net50_26w_8s 27.078 72.921 44.428 55.572 48.40 224 0.875 bilinear -52.120 -50.004 -23
158 dla102x 27.061 72.939 45.475 54.525 26.31 224 0.875 bilinear -51.449 -48.753 -2
159 resnet101 tv_resnet101 26.963 73.037 45.234 54.766 44.55 224 0.875 bilinear -50.411 -48.306 +31 +33
160 resnext50d_32x4d 26.876 73.124 44.436 55.564 25.05 224 0.875 bicubic -52.800 -50.430 -45 -49
161 regnetx_120 26.868 73.132 44.682 55.318 46.11 224 0.875 bicubic -52.728 -50.056 -44 -48
162 rexnet_100 26.831 73.169 45.369 54.631 4.80 224 0.875 bicubic -51.027 -48.501 +18 +19
163 densenet169 26.829 73.171 45.373 54.627 14.15 224 0.875 bicubic -49.077 -47.653 +51 +55
164 regnety_120 legacy_seresnext101_32x4d 26.788 26.811 73.212 73.189 44.454 43.497 55.546 56.503 51.82 48.96 224 0.875 bicubic bilinear -53.578 -53.417 -50.672 -51.521 -79 -75
165 regnetx_064 regnety_120 26.784 26.788 73.216 73.212 44.927 44.454 55.073 55.546 26.21 51.82 224 0.875 bicubic -52.288 -53.578 -49.531 -50.672 -27 -85
166 regnetx_032 regnetx_064 26.703 26.784 73.297 73.216 45.236 44.927 54.764 55.073 15.30 26.21 224 0.875 bicubic -51.469 -52.288 -48.852 -49.531 +3 -28
167 densenet121 regnetx_032 26.664 26.703 73.336 73.297 45.900 45.236 54.100 54.764 7.98 15.30 224 0.875 bicubic -48.914 -51.469 -46.752 -48.852 +51 +2
168 tf_efficientnet_el legacy_seresnet152 26.623 26.676 73.377 73.324 44.648 43.947 55.352 56.053 10.59 66.82 300 224 0.904 0.875 bicubic bilinear -53.817 -51.984 -50.516 -50.423 -86 -16
169 efficientnet_es densenet121 26.621 26.664 73.379 73.336 45.112 45.900 54.888 54.100 5.44 7.98 224 0.875 bicubic -51.445 -48.914 -48.814 -46.752 +2 +53
170 res2net50_26w_6s tf_efficientnet_el 26.595 26.623 73.405 73.377 43.990 44.648 56.010 55.352 37.05 10.59 224 300 0.875 0.904 bilinear bicubic -51.975 -53.817 -50.134 -50.516 -16 -93
171 dla60x efficientnet_es 26.552 26.621 73.448 73.379 45.023 45.112 54.977 54.888 17.35 5.44 224 0.875 bilinear bicubic -51.694 -51.445 -48.994 -48.814 -6 0
172 regnety_080 res2net50_26w_6s 26.524 26.595 73.476 73.405 44.359 43.990 55.641 56.010 39.18 37.05 224 0.875 bicubic bilinear -53.352 -51.975 -50.471 -50.134 -67 -18
173 tf_efficientnet_b0 dla60x 26.485 26.552 73.515 73.448 45.646 45.023 54.354 54.977 5.29 17.35 224 0.875 bicubic bilinear -50.363 -51.694 -47.582 -48.994 +30 -8
174 res2net50_14w_8s regnety_080 26.483 26.524 73.517 73.476 44.371 44.359 55.629 55.641 25.06 39.18 224 0.875 bilinear bicubic -51.667 -53.352 -49.477 -50.471 -4 -73
175 tf_efficientnet_b0 26.485 73.515 45.646 54.354 5.29 224 0.875 bicubic -50.363 -47.582 +32
176 res2net50_14w_8s 26.483 73.517 44.371 55.629 25.06 224 0.875 bilinear -51.667 -49.477 -6
177 gluon_resnet50_v1b 26.436 73.564 44.035 55.965 25.56 224 0.875 bicubic -51.144 -49.681 +11
178 regnetx_040 26.243 73.757 44.438 55.562 22.12 224 0.875 bicubic -52.239 -49.806 -19 -21
179 dpn68 26.129 73.871 44.228 55.772 12.61 224 0.875 bicubic -50.189 -48.750 +33 +35
180 hrnet_w18 25.986 74.014 44.813 55.187 21.30 224 0.875 bilinear -50.772 -48.631 +27 +29
181 regnety_040 25.923 74.077 43.848 56.152 20.65 224 0.875 bicubic -53.297 -50.808 -47 -50
182 resnet34 25.888 74.112 43.982 56.018 21.80 224 0.875 bilinear -49.222 -48.302 +47 +49
183 res2net50_26w_4s 25.866 74.134 43.155 56.845 25.70 224 0.875 bilinear -52.098 -50.699 -4 -6
184 tresnet_m_448 25.852 74.148 42.874 57.126 31.39 448 0.875 bilinear -55.862 -52.698 -128 -140
185 gluon_resnet50_v1c 25.784 74.216 43.031 56.969 25.58 224 0.875 bicubic -52.228 -50.957 -10 -12
186 selecsls60 25.729 74.272 44.065 55.935 30.67 224 0.875 bicubic -52.254 -49.763 -8 -10
187 dla60_res2net 25.652 74.348 43.599 56.401 20.85 224 0.875 bilinear -52.812 -50.607 -25 -28
188 dla60_res2next 25.640 74.360 43.670 56.330 17.03 224 0.875 bilinear -52.800 -50.482 -24 -27
189 mixnet_l 25.512 74.488 43.455 56.545 7.33 224 0.875 bicubic -53.464 -50.727 -46 -48
190 tf_efficientnet_lite1 25.499 74.501 43.585 56.415 5.42 240 0.882 bicubic -51.143 -49.641 +19 +21
191 efficientnet_b1 25.469 74.531 43.284 56.716 7.79 240 0.875 bicubic -53.229 -50.860 -38 -41
192 tv_resnext50_32x4d 25.455 74.545 42.787 57.213 25.03 224 0.875 bilinear -52.165 -50.909 -7
193 tf_mixnet_l 25.422 74.578 42.534 57.466 7.33 224 0.875 bicubic -53.352 -51.464 -43 -46
194 res2next50 25.389 74.611 42.508 57.492 24.67 224 0.875 bilinear -52.857 -51.384 -26 -28
195 regnety_032 legacy_seresnet101 25.332 25.334 74.668 74.666 42.911 42.825 57.089 57.175 19.44 49.33 224 0.875 bicubic bilinear -53.554 -53.048 -51.501 -51.439 -49 -32
196 selecsls60b 25.332 74.668 43.559 56.441 32.77 224 0.875 bicubic -53.080 -50.614 -31 -34
197 dla102 25.316 74.684 43.827 56.173 33.27 224 0.875 bilinear -52.716 -50.119 -23 -25
198 wide_resnet50_2 resnest14d 25.308 25.284 74.692 74.716 42.178 44.114 57.822 55.886 68.88 10.61 224 0.875 bilinear -53.170 -50.220 -51.916 -48.404 -37 +26
199 resnest14d legacy_seresnext50_32x4d 25.284 25.210 74.716 74.790 44.114 41.936 55.886 58.064 10.61 27.56 224 0.875 bilinear -50.222 -53.868 -48.404 -52.500 +23 -63
200 res2net50_48w_2s 25.027 74.973 42.208 57.792 25.29 224 0.875 bilinear -52.495 -51.346 -11
201 efficientnet_b0 25.015 74.985 42.787 57.213 5.29 224 0.875 bicubic -52.683 -50.745 -17 -18
202 gluon_resnet34_v1b 24.939 75.061 42.243 57.757 21.80 224 0.875 bicubic -49.649 -49.747 +34 +37
203 mobilenetv2_120d 24.937 75.063 43.058 56.942 5.83 224 0.875 bicubic -52.347 -50.434 -7
204 dla60 24.933 75.067 43.296 56.704 22.04 224 0.875 bilinear -52.099 -50.022 -3 -1
205 regnety_016 24.811 75.189 42.616 57.384 11.20 224 0.875 bicubic -53.051 -51.104 -24 -26
206 tf_efficientnet_em 24.542 75.458 42.412 57.588 6.90 240 0.882 bicubic -54.166 -51.902 -54 -57
207 tf_efficientnet_lite2 24.530 75.470 42.280 57.720 6.09 260 0.890 bicubic -52.938 -51.474 -17
208 skresnet18 24.483 75.517 42.536 57.464 11.96 224 0.875 bicubic -48.555 -48.632 +35 +38
209 regnetx_016 24.473 75.527 42.514 57.486 9.19 224 0.875 bicubic -52.477 -50.906 -7 -5
210 tf_efficientnet_lite0 24.373 75.627 42.487 57.513 4.65 224 0.875 bicubic -50.457 -49.689 +22 +24
211 tv_resnet50 24.070 75.930 41.313 58.687 25.56 224 0.875 bilinear -52.068 -51.551 +3 +5
212 legacy_seresnet34 24.027 75.973 41.909 58.091 21.96 224 0.875 bilinear -50.781 -50.215 +23
213 resnet18d 23.929 76.071 42.302 57.698 11.71 224 0.875 bicubic -48.331 -48.394 +38
214 efficientnet_lite0 23.909 76.091 42.088 57.912 4.65 224 0.875 bicubic -51.575 -50.422 +11
215 tv_densenet121 23.844 76.156 41.925 58.075 7.98 224 0.875 bicubic -50.894 -50.225 +20 +21
216 tf_efficientnet_es 23.819 76.181 41.331 58.669 5.44 224 0.875 bicubic -53.439 -52.263 -16 -18
217 mobilenetv2_140 23.712 76.288 41.477 58.523 6.11 224 0.875 bicubic -52.804 -51.520 -4
218 mixnet_m 23.710 76.290 41.141 58.859 5.01 224 0.875 bicubic -53.550 -52.283 -19 -21
219 dla34 23.669 76.331 41.551 58.449 15.74 224 0.875 bilinear -50.961 -50.527 +18 +19
220 ese_vovnet19b_dw legacy_seresnet50 23.535 23.651 76.465 76.349 41.288 40.091 58.712 59.909 6.54 28.09 224 0.875 bicubic bilinear -53.263 -53.978 -51.980 -53.657 -12 -36
221 tf_mixnet_m ese_vovnet19b_dw 23.484 23.535 76.516 76.465 40.989 41.288 59.011 58.712 5.01 6.54 224 0.875 bicubic -53.458 -53.263 -52.163 -51.980 -16 -13
222 tf_mixnet_m 23.484 76.516 40.989 59.011 5.01 224 0.875 bicubic -53.458 -52.163 -17
223 tv_resnet34 23.473 76.527 41.367 58.633 21.80 224 0.875 bilinear -49.839 -50.059 +21
224 selecsls42b 23.357 76.643 40.677 59.323 32.46 224 0.875 bicubic -53.817 -52.713 -22 -25
225 mobilenetv2_110d 23.066 76.934 40.716 59.284 4.52 224 0.875 bicubic -51.970 -51.470 +9 +8
226 mobilenetv3_large_100 22.655 77.345 40.781 59.219 5.48 224 0.875 bicubic -53.111 -51.761 -6 -7
227 mobilenetv3_rw 22.630 77.370 40.374 59.626 5.48 224 0.875 bicubic -53.004 -52.334 -5 -6
228 tf_mobilenetv3_large_100 22.569 77.431 39.767 60.233 5.48 224 0.875 bilinear -52.949 -52.839 -4 -5
229 hrnet_w18_small_v2 22.337 77.663 39.861 60.139 15.60 224 0.875 bilinear -52.777 -52.555 +2 +1
230 regnety_008 22.119 77.881 38.900 61.100 6.26 224 0.875 bicubic -54.197 -54.166 -14 -15
231 seresnext26tn_32x4d 21.991 78.009 38.482 61.518 16.81 224 0.875 bicubic -55.995 -55.264 -51 -56
232 seresnext26t_32x4d 21.985 78.015 38.570 61.430 16.82 224 0.875 bicubic -56.013 -55.138 -53 -58
233 regnety_006 21.971 78.029 38.955 61.045 6.06 224 0.875 bicubic -53.275 -53.577 -4 -5
234 regnetx_008 21.940 78.060 38.928 61.072 7.26 224 0.875 bicubic -53.098 -53.408 -1 -2
235 resnet26d 21.907 78.094 38.619 61.381 16.01 224 0.875 bicubic -54.789 -54.531 -24 -25
236 semnasnet_100 21.903 78.097 38.600 61.400 3.89 224 0.875 bicubic -53.545 -54.004 -9 -10
237 regnetx_006 21.738 78.263 38.904 61.096 6.20 224 0.875 bicubic -52.115 -52.768 +5
238 gluon_resnet18_v1b 21.549 78.451 38.869 61.131 11.69 224 0.875 bicubic -49.287 -50.893 +14 +16
239 fbnetc_100 21.484 78.516 38.161 61.839 5.57 224 0.875 bilinear -53.640 -54.225 -9 -10
240 mnasnet_100 21.350 78.650 37.719 62.281 4.38 224 0.875 bicubic -53.308 -54.395 -3
241 resnet26 21.295 78.705 38.018 61.982 16.00 224 0.875 bicubic -53.997 -54.552 -13 -14
242 ssl_resnet18 21.278 78.722 39.113 60.887 11.69 224 0.875 bilinear -51.332 -52.303 +6
243 mixnet_s 21.254 78.746 38.187 61.813 4.13 224 0.875 bicubic -54.738 -54.609 -25 -26
244 seresnext26d_32x4d 21.252 78.748 37.311 62.689 16.81 224 0.875 bicubic -56.350 -56.297 -55 -58
245 regnetx_004 legacy_seresnext26_32x4d 20.898 21.093 79.102 78.907 37.566 37.633 62.434 62.367 5.16 16.79 224 0.875 bicubic -51.498 -56.011 -53.264 -55.683 +4 -44
246 spnasnet_100 regnetx_004 20.863 20.898 79.137 79.102 37.896 37.566 62.104 62.434 4.42 5.16 224 0.875 bilinear bicubic -53.221 -51.498 -53.922 -53.264 -6 +3
247 mobilenetv2_100 spnasnet_100 20.773 20.863 79.227 79.137 37.759 37.896 62.241 62.104 3.50 4.42 224 0.875 bicubic bilinear -52.197 -53.221 -53.257 -53.922 0 -7
248 tf_mixnet_s legacy_seresnet18 20.470 20.837 79.530 79.162 36.607 37.619 63.393 62.381 4.13 11.78 224 0.875 bicubic -55.180 -50.905 -56.021 -52.715 -27 +5
249 regnety_004 mobilenetv2_100 20.415 20.773 79.585 79.227 37.002 37.759 62.998 62.241 4.34 3.50 224 0.875 bicubic -53.619 -52.197 -54.750 -53.257 -8 -2
250 hrnet_w18_small tf_mixnet_s 20.368 20.470 79.632 79.530 37.093 36.607 62.907 63.393 13.19 4.13 224 0.875 bilinear bicubic -51.974 -55.180 -53.585 -56.023 0 -30
251 tf_mobilenetv3_large_075 regnety_004 20.366 20.415 79.634 79.585 36.764 37.002 63.236 62.998 3.99 4.34 224 0.875 bilinear bicubic -53.072 -53.619 -54.586 -54.750 -8 -10
252 hrnet_w18_small 20.368 79.632 37.093 62.907 13.19 224 0.875 bilinear -51.974 -53.585 -2
253 tf_mobilenetv3_large_075 20.366 79.634 36.764 63.236 3.99 224 0.875 bilinear -53.072 -54.586 -10
254 resnet18 20.228 79.772 37.261 62.739 11.69 224 0.875 bilinear -49.520 -51.816 +2
255 tf_mobilenetv3_large_minimal_100 20.122 79.878 36.908 63.092 3.92 224 0.875 bilinear -52.126 -53.722 -2 -3
256 regnety_002 17.450 82.550 32.431 67.569 3.16 224 0.875 bicubic -52.802 -57.109 -1
257 regnetx_002 16.962 83.038 32.225 67.775 2.68 224 0.875 bicubic -51.800 -56.331 0
258 dla60x_c 16.310 83.690 31.761 68.239 1.32 224 0.875 bilinear -51.582 -56.665 +1
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