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Update results with latest NoisyStudent models and SelectiveKernel models

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pull/88/head
Ross Wightman 4 years ago
parent 53c47479c4
commit 91e2b33d72
4 changed files with 77 additions and 25 deletions
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results/results-imagenet-a.csv
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@ -1,8 +1,14 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns_475,62.3733,37.6267,87.0933,12.9067,480.31,475,0.936,bicubic
tf_efficientnet_l2_ns,62.0267,37.9733,87.96,12.04,480.31,800,0.96,bicubic
tf_efficientnet_b7_ns,45.76,54.24,74.2133,25.7867,66.35,600,0.949,bicubic
ig_resnext101_32x48d,41.56,58.44,66.5467,33.4533,828.41,224,0.875,bilinear
tf_efficientnet_b6_ns,40.4533,59.5467,68.8667,31.1333,43.04,528,0.942,bicubic
ig_resnext101_32x32d,39.4267,60.5733,63.7867,36.2133,468.53,224,0.875,bilinear
ig_resnext101_32x16d,36.0,64.0,59.0,41.0,194.03,224,0.875,bilinear
tf_efficientnet_b5_ns,39.0133,60.9867,68.08,31.92,30.39,456,0.934,bicubic
ig_resnext101_32x16d,36,64,59,41,194.03,224,0.875,bilinear
swsl_resnext101_32x8d,32.0133,67.9867,59.44,40.56,88.79,224,0.875,bilinear
tf_efficientnet_b4_ns,30.7867,69.2133,59.4667,40.5333,19.34,380,0.922,bicubic
tf_efficientnet_b8_ap,29.5867,70.4133,56.9333,43.0667,87.41,672,0.954,bicubic
tf_efficientnet_b8,29.3867,70.6133,57.0533,42.9467,87.41,672,0.954,bicubic
ig_resnext101_32x8d,28.6667,71.3333,52.32,47.68,88.79,224,0.875,bilinear
@ -13,6 +19,7 @@ tf_efficientnet_b7,25.28,74.72,51.6667,48.3333,66.35,600,0.949,bicubic
tf_efficientnet_b6_ap,24.3467,75.6533,50.44,49.56,43.04,528,0.942,bicubic
tf_efficientnet_b6,20.3733,79.6267,45.48,54.52,43.04,528,0.942,bicubic
tf_efficientnet_b5_ap,19.4667,80.5333,44.7333,55.2667,30.39,456,0.934,bicubic
tf_efficientnet_b3_ns,19.44,80.56,44.6533,55.3467,12.23,300,0.904,bicubic
swsl_resnext50_32x4d,18.04,81.96,41.9733,58.0267,25.03,224,0.875,bilinear
ssl_resnext101_32x16d,17.1867,82.8133,39.9333,60.0667,194.03,224,0.875,bilinear
tf_efficientnet_b5,17.0533,82.9467,41.92,58.08,30.39,456,0.934,bicubic
@ -23,13 +30,15 @@ tf_efficientnet_b4,13.32,86.68,35.5333,64.4667,19.34,380,0.922,bicubic
pnasnet5large,13.0533,86.9467,32.2267,67.7733,86.06,331,0.875,bicubic
nasnetalarge,12.56,87.44,33.4267,66.5733,88.75,331,0.875,bicubic
ssl_resnext101_32x4d,12.1067,87.8933,31.8933,68.1067,44.18,224,0.875,bilinear
tf_efficientnet_b2_ns,11.7333,88.2667,32.96,67.04,9.11,260,0.89,bicubic
gluon_senet154,9.8933,90.1067,26.4267,73.5733,115.09,224,0.875,bicubic
ssl_resnext50_32x4d,9.6533,90.3467,28.4667,71.5333,25.03,224,0.875,bilinear
senet154,9.4667,90.5333,26.44,73.56,115.09,224,0.875,bilinear
efficientnet_b3a,9.2533,90.7467,28.4267,71.5733,12.23,320,1.0,bicubic
efficientnet_b3a,9.2533,90.7467,28.4267,71.5733,12.23,320,1,bicubic
efficientnet_b3,8.9733,91.0267,28.2267,71.7733,12.23,300,0.904,bicubic
inception_v4,8.8933,91.1067,24.68,75.32,42.68,299,0.875,bicubic
gluon_seresnext101_64x4d,8.8667,91.1333,27.28,72.72,88.23,224,0.875,bicubic
tf_efficientnet_b1_ns,8.6133,91.3867,27.2933,72.7067,7.79,240,0.882,bicubic
gluon_xception65,8.44,91.56,25.12,74.88,39.92,299,0.875,bicubic
gluon_resnet152_v1d,8.36,91.64,23.4267,76.5733,60.21,224,0.875,bicubic
inception_resnet_v2,8.1733,91.8267,23.5733,76.4267,55.84,299,0.8975,bicubic
@ -39,14 +48,15 @@ tf_efficientnet_b3,8.0133,91.9867,25.48,74.52,12.23,300,0.904,bicubic
ens_adv_inception_resnet_v2,7.9733,92.0267,23.8667,76.1333,55.84,299,0.8975,bicubic
gluon_resnet152_v1s,7.8533,92.1467,23.1867,76.8133,60.32,224,0.875,bicubic
gluon_resnext101_64x4d,7.72,92.28,23.3067,76.6933,83.46,224,0.875,bicubic
skresnext50_32x4d,7.08,92.92,23.0667,76.9333,27.48,224,0.875,bicubic
ssl_resnet50,7.04,92.96,23.9067,76.0933,25.56,224,0.875,bilinear
efficientnet_b2a,6.7467,93.2533,23.5067,76.4933,9.11,288,1.0,bicubic
efficientnet_b2a,6.7467,93.2533,23.5067,76.4933,9.11,288,1,bicubic
seresnext101_32x4d,6.4,93.6,21.4933,78.5067,48.96,224,0.875,bilinear
efficientnet_b2,6.0933,93.9067,21.96,78.04,9.11,260,0.875,bicubic
gluon_resnext101_32x4d,6.0133,93.9867,21.12,78.88,44.18,224,0.875,bicubic
gluon_resnet101_v1d,5.92,94.08,19.9467,80.0533,44.57,224,0.875,bicubic
gluon_seresnext50_32x4d,5.7867,94.2133,21.4533,78.5467,27.56,224,0.875,bicubic
gluon_inception_v3,5.5067,94.4933,20.0,80.0,23.83,299,0.875,bicubic
gluon_inception_v3,5.5067,94.4933,20,80,23.83,299,0.875,bicubic
mixnet_xl,5.4667,94.5333,21.08,78.92,11.9,224,0.875,bicubic
gluon_resnet101_v1s,5.28,94.72,19.56,80.44,44.67,224,0.875,bicubic
hrnet_w64,5.16,94.84,19.4933,80.5067,128.06,224,0.875,bilinear
@ -69,8 +79,9 @@ inception_v3,4.1867,95.8133,16.2933,83.7067,27.16,299,0.875,bicubic
tf_efficientnet_b2_ap,4.16,95.84,18.3467,81.6533,9.11,260,0.89,bicubic
seresnet152,4.1467,95.8533,15.9333,84.0667,66.82,224,0.875,bilinear
resnext101_32x8d,4.1333,95.8667,16.92,83.08,88.79,224,0.875,bilinear
tf_efficientnet_b0_ns,4.1333,95.8667,17.68,82.32,5.29,224,0.875,bicubic
dpn98,4.08,95.92,15.96,84.04,61.57,224,0.875,bicubic
res2net101_26w_4s,4.0,96.0,14.8667,85.1333,45.21,224,0.875,bilinear
res2net101_26w_4s,4,96,14.8667,85.1333,45.21,224,0.875,bilinear
efficientnet_b1,3.9733,96.0267,15.7733,84.2267,7.79,240,0.875,bicubic
tf_efficientnet_b2,3.76,96.24,16.5867,83.4133,9.11,260,0.89,bicubic
hrnet_w30,3.68,96.32,15.5733,84.4267,37.71,224,0.875,bilinear
@ -102,6 +113,7 @@ dla60_res2net,2.64,97.36,14.1733,85.8267,21.15,224,0.875,bilinear
gluon_resnet101_v1b,2.6133,97.3867,13.56,86.44,44.55,224,0.875,bicubic
dla60x,2.6,97.4,13.3467,86.6533,17.65,224,0.875,bilinear
mixnet_m,2.5467,97.4533,12.4133,87.5867,5.01,224,0.875,bicubic
efficientnet_es,2.3733,97.6267,13.8267,86.1733,5.44,224,0.875,bicubic
resnet152,2.36,97.64,12.2,87.8,60.19,224,0.875,bilinear
swsl_resnet18,2.3467,97.6533,11.2267,88.7733,11.69,224,0.875,bilinear
wide_resnet50_2,2.32,97.68,11.8267,88.1733,68.88,224,0.875,bilinear
@ -133,7 +145,7 @@ ssl_resnet18,1.3867,98.6133,8.2,91.8,11.69,224,0.875,bilinear
dla60,1.3333,98.6667,9.4667,90.5333,22.33,224,0.875,bilinear
dpn68,1.32,98.68,8.8267,91.1733,12.61,224,0.875,bicubic
res2net50_48w_2s,1.2933,98.7067,8.9333,91.0667,25.29,224,0.875,bilinear
tf_mixnet_s,1.2667,98.7333,8.7467,91.2533,4.13,224,0.875,bicubic
tf_mixnet_s,1.2667,98.7333,8.7333,91.2667,4.13,224,0.875,bicubic
fbnetc_100,1.24,98.76,8.76,91.24,5.57,224,0.875,bilinear
resnet26d,1.24,98.76,9.32,90.68,16.01,224,0.875,bicubic
tf_mobilenetv3_large_100,1.1867,98.8133,7.9467,92.0533,5.48,224,0.875,bilinear
@ -143,9 +155,10 @@ seresnet34,1.12,98.88,7.4267,92.5733,21.96,224,0.875,bilinear
tf_efficientnet_es,1.12,98.88,8.5867,91.4133,5.44,224,0.875,bicubic
spnasnet_100,1.1067,98.8933,8.2133,91.7867,4.42,224,0.875,bilinear
dla34,1.08,98.92,7.68,92.32,15.78,224,0.875,bilinear
resnet34,1.0,99.0,7.5333,92.4667,21.8,224,0.875,bilinear
resnet34,1,99,7.5333,92.4667,21.8,224,0.875,bilinear
gluon_resnet34_v1b,0.8933,99.1067,6.6,93.4,21.8,224,0.875,bicubic
hrnet_w18_small_v2,0.8933,99.1067,7.3867,92.6133,15.6,224,0.875,bilinear
skresnet18,0.88,99.12,7.3467,92.6533,11.96,224,0.875,bicubic
tf_mobilenetv3_large_075,0.88,99.12,6.72,93.28,3.99,224,0.875,bilinear
mnasnet_100,0.8667,99.1333,7.8267,92.1733,4.38,224,0.875,bicubic
tf_mobilenetv3_small_100,0.7467,99.2533,4.6667,95.3333,2.54,224,0.875,bilinear
@ -153,7 +166,7 @@ seresnet18,0.7333,99.2667,6.0267,93.9733,11.78,224,0.875,bicubic
densenet121,0.68,99.32,6.8933,93.1067,7.98,224,0.875,bicubic
tf_mobilenetv3_small_075,0.6533,99.3467,4.1867,95.8133,2.04,224,0.875,bilinear
tv_resnet34,0.6,99.4,5.5333,94.4667,21.8,224,0.875,bilinear
resnet26,0.5867,99.4133,6.8933,93.1067,16.0,224,0.875,bicubic
resnet26,0.5867,99.4133,6.8933,93.1067,16,224,0.875,bicubic
dla46_c,0.52,99.48,4.1733,95.8267,1.31,224,0.875,bilinear
dla60x_c,0.48,99.52,5.2133,94.7867,1.34,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,0.48,99.52,4.88,95.12,3.92,224,0.875,bilinear
@ -162,4 +175,4 @@ dla46x_c,0.4133,99.5867,4.44,95.56,1.08,224,0.875,bilinear
gluon_resnet18_v1b,0.3867,99.6133,4.7867,95.2133,11.69,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,0.36,99.64,2.8667,97.1333,2.04,224,0.875,bilinear
resnet18,0.2933,99.7067,4.04,95.96,11.69,224,0.875,bilinear
tv_resnet50,0.0,100.0,2.9067,97.0933,25.56,224,0.875,bilinear
tv_resnet50,0,100,2.9067,97.0933,25.56,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns_475 62.3733 37.6267 87.0933 12.9067 480.31 475 0.936 bicubic
3 tf_efficientnet_l2_ns 62.0267 37.9733 87.96 12.04 480.31 800 0.96 bicubic
4 tf_efficientnet_b7_ns 45.76 54.24 74.2133 25.7867 66.35 600 0.949 bicubic
5 ig_resnext101_32x48d 41.56 58.44 66.5467 33.4533 828.41 224 0.875 bilinear
6 tf_efficientnet_b6_ns 40.4533 59.5467 68.8667 31.1333 43.04 528 0.942 bicubic
7 ig_resnext101_32x32d 39.4267 60.5733 63.7867 36.2133 468.53 224 0.875 bilinear
8 ig_resnext101_32x16d tf_efficientnet_b5_ns 36.0 39.0133 64.0 60.9867 59.0 68.08 41.0 31.92 194.03 30.39 224 456 0.875 0.934 bilinear bicubic
9 ig_resnext101_32x16d 36 64 59 41 194.03 224 0.875 bilinear
10 swsl_resnext101_32x8d 32.0133 67.9867 59.44 40.56 88.79 224 0.875 bilinear
11 tf_efficientnet_b4_ns 30.7867 69.2133 59.4667 40.5333 19.34 380 0.922 bicubic
12 tf_efficientnet_b8_ap 29.5867 70.4133 56.9333 43.0667 87.41 672 0.954 bicubic
13 tf_efficientnet_b8 29.3867 70.6133 57.0533 42.9467 87.41 672 0.954 bicubic
14 ig_resnext101_32x8d 28.6667 71.3333 52.32 47.68 88.79 224 0.875 bilinear
19 tf_efficientnet_b6_ap 24.3467 75.6533 50.44 49.56 43.04 528 0.942 bicubic
20 tf_efficientnet_b6 20.3733 79.6267 45.48 54.52 43.04 528 0.942 bicubic
21 tf_efficientnet_b5_ap 19.4667 80.5333 44.7333 55.2667 30.39 456 0.934 bicubic
22 tf_efficientnet_b3_ns 19.44 80.56 44.6533 55.3467 12.23 300 0.904 bicubic
23 swsl_resnext50_32x4d 18.04 81.96 41.9733 58.0267 25.03 224 0.875 bilinear
24 ssl_resnext101_32x16d 17.1867 82.8133 39.9333 60.0667 194.03 224 0.875 bilinear
25 tf_efficientnet_b5 17.0533 82.9467 41.92 58.08 30.39 456 0.934 bicubic
30 pnasnet5large 13.0533 86.9467 32.2267 67.7733 86.06 331 0.875 bicubic
31 nasnetalarge 12.56 87.44 33.4267 66.5733 88.75 331 0.875 bicubic
32 ssl_resnext101_32x4d 12.1067 87.8933 31.8933 68.1067 44.18 224 0.875 bilinear
33 tf_efficientnet_b2_ns 11.7333 88.2667 32.96 67.04 9.11 260 0.89 bicubic
34 gluon_senet154 9.8933 90.1067 26.4267 73.5733 115.09 224 0.875 bicubic
35 ssl_resnext50_32x4d 9.6533 90.3467 28.4667 71.5333 25.03 224 0.875 bilinear
36 senet154 9.4667 90.5333 26.44 73.56 115.09 224 0.875 bilinear
37 efficientnet_b3a 9.2533 90.7467 28.4267 71.5733 12.23 320 1.0 1 bicubic
38 efficientnet_b3 8.9733 91.0267 28.2267 71.7733 12.23 300 0.904 bicubic
39 inception_v4 8.8933 91.1067 24.68 75.32 42.68 299 0.875 bicubic
40 gluon_seresnext101_64x4d 8.8667 91.1333 27.28 72.72 88.23 224 0.875 bicubic
41 tf_efficientnet_b1_ns 8.6133 91.3867 27.2933 72.7067 7.79 240 0.882 bicubic
42 gluon_xception65 8.44 91.56 25.12 74.88 39.92 299 0.875 bicubic
43 gluon_resnet152_v1d 8.36 91.64 23.4267 76.5733 60.21 224 0.875 bicubic
44 inception_resnet_v2 8.1733 91.8267 23.5733 76.4267 55.84 299 0.8975 bicubic
48 ens_adv_inception_resnet_v2 7.9733 92.0267 23.8667 76.1333 55.84 299 0.8975 bicubic
49 gluon_resnet152_v1s 7.8533 92.1467 23.1867 76.8133 60.32 224 0.875 bicubic
50 gluon_resnext101_64x4d 7.72 92.28 23.3067 76.6933 83.46 224 0.875 bicubic
51 skresnext50_32x4d 7.08 92.92 23.0667 76.9333 27.48 224 0.875 bicubic
52 ssl_resnet50 7.04 92.96 23.9067 76.0933 25.56 224 0.875 bilinear
53 efficientnet_b2a 6.7467 93.2533 23.5067 76.4933 9.11 288 1.0 1 bicubic
54 seresnext101_32x4d 6.4 93.6 21.4933 78.5067 48.96 224 0.875 bilinear
55 efficientnet_b2 6.0933 93.9067 21.96 78.04 9.11 260 0.875 bicubic
56 gluon_resnext101_32x4d 6.0133 93.9867 21.12 78.88 44.18 224 0.875 bicubic
57 gluon_resnet101_v1d 5.92 94.08 19.9467 80.0533 44.57 224 0.875 bicubic
58 gluon_seresnext50_32x4d 5.7867 94.2133 21.4533 78.5467 27.56 224 0.875 bicubic
59 gluon_inception_v3 5.5067 94.4933 20.0 20 80.0 80 23.83 299 0.875 bicubic
60 mixnet_xl 5.4667 94.5333 21.08 78.92 11.9 224 0.875 bicubic
61 gluon_resnet101_v1s 5.28 94.72 19.56 80.44 44.67 224 0.875 bicubic
62 hrnet_w64 5.16 94.84 19.4933 80.5067 128.06 224 0.875 bilinear
79 tf_efficientnet_b2_ap 4.16 95.84 18.3467 81.6533 9.11 260 0.89 bicubic
80 seresnet152 4.1467 95.8533 15.9333 84.0667 66.82 224 0.875 bilinear
81 resnext101_32x8d 4.1333 95.8667 16.92 83.08 88.79 224 0.875 bilinear
82 tf_efficientnet_b0_ns 4.1333 95.8667 17.68 82.32 5.29 224 0.875 bicubic
83 dpn98 4.08 95.92 15.96 84.04 61.57 224 0.875 bicubic
84 res2net101_26w_4s 4.0 4 96.0 96 14.8667 85.1333 45.21 224 0.875 bilinear
85 efficientnet_b1 3.9733 96.0267 15.7733 84.2267 7.79 240 0.875 bicubic
86 tf_efficientnet_b2 3.76 96.24 16.5867 83.4133 9.11 260 0.89 bicubic
87 hrnet_w30 3.68 96.32 15.5733 84.4267 37.71 224 0.875 bilinear
113 gluon_resnet101_v1b 2.6133 97.3867 13.56 86.44 44.55 224 0.875 bicubic
114 dla60x 2.6 97.4 13.3467 86.6533 17.65 224 0.875 bilinear
115 mixnet_m 2.5467 97.4533 12.4133 87.5867 5.01 224 0.875 bicubic
116 efficientnet_es 2.3733 97.6267 13.8267 86.1733 5.44 224 0.875 bicubic
117 resnet152 2.36 97.64 12.2 87.8 60.19 224 0.875 bilinear
118 swsl_resnet18 2.3467 97.6533 11.2267 88.7733 11.69 224 0.875 bilinear
119 wide_resnet50_2 2.32 97.68 11.8267 88.1733 68.88 224 0.875 bilinear
145 dla60 1.3333 98.6667 9.4667 90.5333 22.33 224 0.875 bilinear
146 dpn68 1.32 98.68 8.8267 91.1733 12.61 224 0.875 bicubic
147 res2net50_48w_2s 1.2933 98.7067 8.9333 91.0667 25.29 224 0.875 bilinear
148 tf_mixnet_s 1.2667 98.7333 8.7467 8.7333 91.2533 91.2667 4.13 224 0.875 bicubic
149 fbnetc_100 1.24 98.76 8.76 91.24 5.57 224 0.875 bilinear
150 resnet26d 1.24 98.76 9.32 90.68 16.01 224 0.875 bicubic
151 tf_mobilenetv3_large_100 1.1867 98.8133 7.9467 92.0533 5.48 224 0.875 bilinear
155 tf_efficientnet_es 1.12 98.88 8.5867 91.4133 5.44 224 0.875 bicubic
156 spnasnet_100 1.1067 98.8933 8.2133 91.7867 4.42 224 0.875 bilinear
157 dla34 1.08 98.92 7.68 92.32 15.78 224 0.875 bilinear
158 resnet34 1.0 1 99.0 99 7.5333 92.4667 21.8 224 0.875 bilinear
159 gluon_resnet34_v1b 0.8933 99.1067 6.6 93.4 21.8 224 0.875 bicubic
160 hrnet_w18_small_v2 0.8933 99.1067 7.3867 92.6133 15.6 224 0.875 bilinear
161 skresnet18 0.88 99.12 7.3467 92.6533 11.96 224 0.875 bicubic
162 tf_mobilenetv3_large_075 0.88 99.12 6.72 93.28 3.99 224 0.875 bilinear
163 mnasnet_100 0.8667 99.1333 7.8267 92.1733 4.38 224 0.875 bicubic
164 tf_mobilenetv3_small_100 0.7467 99.2533 4.6667 95.3333 2.54 224 0.875 bilinear
166 densenet121 0.68 99.32 6.8933 93.1067 7.98 224 0.875 bicubic
167 tf_mobilenetv3_small_075 0.6533 99.3467 4.1867 95.8133 2.04 224 0.875 bilinear
168 tv_resnet34 0.6 99.4 5.5333 94.4667 21.8 224 0.875 bilinear
169 resnet26 0.5867 99.4133 6.8933 93.1067 16.0 16 224 0.875 bicubic
170 dla46_c 0.52 99.48 4.1733 95.8267 1.31 224 0.875 bilinear
171 dla60x_c 0.48 99.52 5.2133 94.7867 1.34 224 0.875 bilinear
172 tf_mobilenetv3_large_minimal_100 0.48 99.52 4.88 95.12 3.92 224 0.875 bilinear
175 gluon_resnet18_v1b 0.3867 99.6133 4.7867 95.2133 11.69 224 0.875 bicubic
176 tf_mobilenetv3_small_minimal_100 0.36 99.64 2.8667 97.1333 2.04 224 0.875 bilinear
177 resnet18 0.2933 99.7067 4.04 95.96 11.69 224 0.875 bilinear
178 tv_resnet50 0.0 0 100.0 100 2.9067 97.0933 25.56 224 0.875 bilinear

19
results/results-imagenet.csv
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@ -1,7 +1,13 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns,88.352,11.648,98.65,1.35,480.31,800,0.961,bicubic
tf_efficientnet_l2_ns_475,88.234,11.766,98.546,1.454,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,86.84,13.16,98.094,1.906,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,86.452,13.548,97.882,2.118,43.04,528,0.942,bicubic
tf_efficientnet_b5_ns,86.088,13.912,97.752,2.248,30.39,456,0.934,bicubic
ig_resnext101_32x48d,85.428,14.572,97.572,2.428,828.41,224,0.875,bilinear
tf_efficientnet_b8,85.37,14.63,97.39,2.61,87.41,672,0.954,bicubic
tf_efficientnet_b8_ap,85.37,14.63,97.294,2.706,87.41,672,0.954,bicubic
tf_efficientnet_b4_ns,85.162,14.838,97.47,2.53,19.34,380,0.922,bicubic
tf_efficientnet_b7_ap,85.12,14.88,97.252,2.748,66.35,600,0.949,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
@ -10,6 +16,7 @@ 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
ig_resnext101_32x16d,84.17,15.83,97.196,2.804,194.03,224,0.875,bilinear
tf_efficientnet_b6,84.11,15.89,96.886,3.114,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,84.048,15.952,96.91,3.09,12.23,300,0.904,bicubic
tf_efficientnet_b5,83.812,16.188,96.748,3.252,30.39,456,0.934,bicubic
swsl_resnext101_32x16d,83.346,16.654,96.846,3.154,194.03,224,0.875,bilinear
tf_efficientnet_b4_ap,83.248,16.752,96.392,3.608,19.34,380,0.922,bicubic
@ -18,6 +25,7 @@ tf_efficientnet_b4,83.022,16.978,96.3,3.7,19.34,380,0.922,bicubic
pnasnet5large,82.736,17.264,96.046,3.954,86.06,331,0.875,bicubic
ig_resnext101_32x8d,82.688,17.312,96.636,3.364,88.79,224,0.875,bilinear
nasnetalarge,82.554,17.446,96.038,3.962,88.75,331,0.875,bicubic
tf_efficientnet_b2_ns,82.38,17.62,96.248,3.752,9.11,260,0.89,bicubic
swsl_resnext50_32x4d,82.182,17.818,96.23,3.77,25.03,224,0.875,bilinear
efficientnet_b3a,81.866,18.134,95.836,4.164,12.23,320,1,bicubic
ssl_resnext101_32x16d,81.844,18.156,96.096,3.904,194.03,224,0.875,bilinear
@ -25,6 +33,7 @@ tf_efficientnet_b3_ap,81.822,18.178,95.624,4.376,12.23,300,0.904,bicubic
tf_efficientnet_b3,81.636,18.364,95.718,4.282,12.23,300,0.904,bicubic
ssl_resnext101_32x8d,81.616,18.384,96.038,3.962,88.79,224,0.875,bilinear
efficientnet_b3,81.494,18.506,95.716,4.284,12.23,300,0.904,bicubic
tf_efficientnet_b1_ns,81.388,18.612,95.738,4.262,7.79,240,0.882,bicubic
senet154,81.31,18.69,95.496,4.504,115.09,224,0.875,bilinear
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
@ -47,9 +56,10 @@ tf_efficientnet_b2_ap,80.3,19.7,95.028,4.972,9.11,260,0.89,bicubic
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
dpn107,80.156,19.844,94.91,5.09,86.92,224,0.875,bicubic
skresnext50_32x4d,80.156,19.844,94.642,5.358,27.48,224,0.875,bicubic
tf_efficientnet_b2,80.086,19.914,94.908,5.092,9.11,260,0.89,bicubic
dpn92,80.008,19.992,94.836,5.164,37.67,224,0.875,bicubic
ens_adv_inception_resnet_v2,79.982,20.018,94.938,5.062,55.84,299,0.8975,bicubic
ens_adv_inception_resnet_v2,79.982,20.018,94.936,5.064,55.84,299,0.8975,bicubic
gluon_seresnext50_32x4d,79.918,20.082,94.822,5.178,27.56,224,0.875,bicubic
gluon_resnet152_v1c,79.91,20.09,94.84,5.16,60.21,224,0.875,bicubic
dpn131,79.822,20.178,94.71,5.29,79.25,224,0.875,bicubic
@ -85,6 +95,7 @@ tf_efficientnet_em,78.708,21.292,94.314,5.686,6.9,240,0.882,bicubic
efficientnet_b1,78.698,21.302,94.144,5.856,7.79,240,0.875,bicubic
dla169,78.688,21.312,94.336,5.664,53.99,224,0.875,bilinear
seresnet152,78.66,21.34,94.37,5.63,66.82,224,0.875,bilinear
tf_efficientnet_b0_ns,78.658,21.342,94.376,5.624,5.29,224,0.875,bicubic
res2net50_26w_6s,78.57,21.43,94.124,5.876,37.05,224,0.875,bilinear
resnext50_32x4d,78.512,21.488,94.042,5.958,25.03,224,0.875,bicubic
dla102x,78.51,21.49,94.228,5.772,26.77,224,0.875,bilinear
@ -99,6 +110,7 @@ dla60x,78.246,21.754,94.018,5.982,17.65,224,0.875,bilinear
res2next50,78.246,21.754,93.892,6.108,24.67,224,0.875,bilinear
hrnet_w30,78.206,21.794,94.222,5.778,37.71,224,0.875,bilinear
res2net50_14w_8s,78.15,21.85,93.848,6.152,25.06,224,0.875,bilinear
efficientnet_es,78.066,21.934,93.926,6.074,5.44,224,0.875,bicubic
dla102,78.032,21.968,93.946,6.054,33.73,224,0.875,bilinear
gluon_resnet50_v1c,78.012,21.988,93.988,6.012,25.58,224,0.875,bicubic
seresnext26t_32x4d,77.998,22.002,93.708,6.292,16.82,224,0.875,bicubic
@ -115,7 +127,7 @@ adv_inception_v3,77.582,22.418,93.736,6.264,23.83,299,0.875,bicubic
gluon_resnet50_v1b,77.58,22.42,93.716,6.284,25.56,224,0.875,bicubic
res2net50_48w_2s,77.522,22.478,93.554,6.446,25.29,224,0.875,bilinear
dpn68b,77.512,22.488,93.822,6.178,12.61,224,0.875,bicubic
inception_v3,77.438,22.562,93.474,6.526,27.16,299,0.875,bicubic
inception_v3,77.44,22.56,93.474,6.526,27.16,299,0.875,bicubic
resnet101,77.374,22.626,93.54,6.46,44.55,224,0.875,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
@ -151,11 +163,12 @@ spnasnet_100,74.084,25.916,91.818,8.182,4.42,224,0.875,bilinear
tf_mobilenetv3_large_075,73.438,26.562,91.35,8.65,3.99,224,0.875,bilinear
tv_resnet34,73.312,26.688,91.426,8.574,21.8,224,0.875,bilinear
swsl_resnet18,73.276,26.724,91.734,8.266,11.69,224,0.875,bilinear
skresnet18,73.038,26.962,91.168,8.832,11.96,224,0.875,bicubic
ssl_resnet18,72.61,27.39,91.416,8.584,11.69,224,0.875,bilinear
hrnet_w18_small,72.342,27.658,90.678,9.322,13.19,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,72.248,27.752,90.63,9.37,3.92,224,0.875,bilinear
seresnet18,71.742,28.258,90.334,9.666,11.78,224,0.875,bicubic
gluon_resnet18_v1b,70.836,29.164,89.76,10.24,11.69,224,0.875,bicubic
gluon_resnet18_v1b,70.836,29.164,89.762,10.238,11.69,224,0.875,bicubic
resnet18,69.748,30.252,89.078,10.922,11.69,224,0.875,bilinear
tf_mobilenetv3_small_100,67.922,32.078,87.664,12.336,2.54,224,0.875,bilinear
dla60x_c,67.892,32.108,88.426,11.574,1.34,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 88.352 11.648 98.65 1.35 480.31 800 0.961 bicubic
3 tf_efficientnet_l2_ns_475 88.234 11.766 98.546 1.454 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns 86.84 13.16 98.094 1.906 66.35 600 0.949 bicubic
5 tf_efficientnet_b6_ns 86.452 13.548 97.882 2.118 43.04 528 0.942 bicubic
6 tf_efficientnet_b5_ns 86.088 13.912 97.752 2.248 30.39 456 0.934 bicubic
7 ig_resnext101_32x48d 85.428 14.572 97.572 2.428 828.41 224 0.875 bilinear
8 tf_efficientnet_b8 85.37 14.63 97.39 2.61 87.41 672 0.954 bicubic
9 tf_efficientnet_b8_ap 85.37 14.63 97.294 2.706 87.41 672 0.954 bicubic
10 tf_efficientnet_b4_ns 85.162 14.838 97.47 2.53 19.34 380 0.922 bicubic
11 tf_efficientnet_b7_ap 85.12 14.88 97.252 2.748 66.35 600 0.949 bicubic
12 ig_resnext101_32x32d 85.094 14.906 97.438 2.562 468.53 224 0.875 bilinear
13 tf_efficientnet_b7 84.936 15.064 97.204 2.796 66.35 600 0.949 bicubic
16 tf_efficientnet_b5_ap 84.252 15.748 96.974 3.026 30.39 456 0.934 bicubic
17 ig_resnext101_32x16d 84.17 15.83 97.196 2.804 194.03 224 0.875 bilinear
18 tf_efficientnet_b6 84.11 15.89 96.886 3.114 43.04 528 0.942 bicubic
19 tf_efficientnet_b3_ns 84.048 15.952 96.91 3.09 12.23 300 0.904 bicubic
20 tf_efficientnet_b5 83.812 16.188 96.748 3.252 30.39 456 0.934 bicubic
21 swsl_resnext101_32x16d 83.346 16.654 96.846 3.154 194.03 224 0.875 bilinear
22 tf_efficientnet_b4_ap 83.248 16.752 96.392 3.608 19.34 380 0.922 bicubic
25 pnasnet5large 82.736 17.264 96.046 3.954 86.06 331 0.875 bicubic
26 ig_resnext101_32x8d 82.688 17.312 96.636 3.364 88.79 224 0.875 bilinear
27 nasnetalarge 82.554 17.446 96.038 3.962 88.75 331 0.875 bicubic
28 tf_efficientnet_b2_ns 82.38 17.62 96.248 3.752 9.11 260 0.89 bicubic
29 swsl_resnext50_32x4d 82.182 17.818 96.23 3.77 25.03 224 0.875 bilinear
30 efficientnet_b3a 81.866 18.134 95.836 4.164 12.23 320 1 bicubic
31 ssl_resnext101_32x16d 81.844 18.156 96.096 3.904 194.03 224 0.875 bilinear
33 tf_efficientnet_b3 81.636 18.364 95.718 4.282 12.23 300 0.904 bicubic
34 ssl_resnext101_32x8d 81.616 18.384 96.038 3.962 88.79 224 0.875 bilinear
35 efficientnet_b3 81.494 18.506 95.716 4.284 12.23 300 0.904 bicubic
36 tf_efficientnet_b1_ns 81.388 18.612 95.738 4.262 7.79 240 0.882 bicubic
37 senet154 81.31 18.69 95.496 4.504 115.09 224 0.875 bilinear
38 gluon_senet154 81.234 18.766 95.348 4.652 115.09 224 0.875 bicubic
39 swsl_resnet50 81.166 18.834 95.972 4.028 25.56 224 0.875 bilinear
56 seresnext101_32x4d 80.228 19.772 95.018 4.982 48.96 224 0.875 bilinear
57 inception_v4 80.168 19.832 94.968 5.032 42.68 299 0.875 bicubic
58 dpn107 80.156 19.844 94.91 5.09 86.92 224 0.875 bicubic
59 skresnext50_32x4d 80.156 19.844 94.642 5.358 27.48 224 0.875 bicubic
60 tf_efficientnet_b2 80.086 19.914 94.908 5.092 9.11 260 0.89 bicubic
61 dpn92 80.008 19.992 94.836 5.164 37.67 224 0.875 bicubic
62 ens_adv_inception_resnet_v2 79.982 20.018 94.938 94.936 5.062 5.064 55.84 299 0.8975 bicubic
63 gluon_seresnext50_32x4d 79.918 20.082 94.822 5.178 27.56 224 0.875 bicubic
64 gluon_resnet152_v1c 79.91 20.09 94.84 5.16 60.21 224 0.875 bicubic
65 dpn131 79.822 20.178 94.71 5.29 79.25 224 0.875 bicubic
95 efficientnet_b1 78.698 21.302 94.144 5.856 7.79 240 0.875 bicubic
96 dla169 78.688 21.312 94.336 5.664 53.99 224 0.875 bilinear
97 seresnet152 78.66 21.34 94.37 5.63 66.82 224 0.875 bilinear
98 tf_efficientnet_b0_ns 78.658 21.342 94.376 5.624 5.29 224 0.875 bicubic
99 res2net50_26w_6s 78.57 21.43 94.124 5.876 37.05 224 0.875 bilinear
100 resnext50_32x4d 78.512 21.488 94.042 5.958 25.03 224 0.875 bicubic
101 dla102x 78.51 21.49 94.228 5.772 26.77 224 0.875 bilinear
110 res2next50 78.246 21.754 93.892 6.108 24.67 224 0.875 bilinear
111 hrnet_w30 78.206 21.794 94.222 5.778 37.71 224 0.875 bilinear
112 res2net50_14w_8s 78.15 21.85 93.848 6.152 25.06 224 0.875 bilinear
113 efficientnet_es 78.066 21.934 93.926 6.074 5.44 224 0.875 bicubic
114 dla102 78.032 21.968 93.946 6.054 33.73 224 0.875 bilinear
115 gluon_resnet50_v1c 78.012 21.988 93.988 6.012 25.58 224 0.875 bicubic
116 seresnext26t_32x4d 77.998 22.002 93.708 6.292 16.82 224 0.875 bicubic
127 gluon_resnet50_v1b 77.58 22.42 93.716 6.284 25.56 224 0.875 bicubic
128 res2net50_48w_2s 77.522 22.478 93.554 6.446 25.29 224 0.875 bilinear
129 dpn68b 77.512 22.488 93.822 6.178 12.61 224 0.875 bicubic
130 inception_v3 77.438 77.44 22.562 22.56 93.474 6.526 27.16 299 0.875 bicubic
131 resnet101 77.374 22.626 93.54 6.46 44.55 224 0.875 bilinear
132 densenet161 77.358 22.642 93.638 6.362 28.68 224 0.875 bicubic
133 tf_efficientnet_cc_b0_4e 77.306 22.694 93.334 6.666 13.31 224 0.875 bicubic
163 tf_mobilenetv3_large_075 73.438 26.562 91.35 8.65 3.99 224 0.875 bilinear
164 tv_resnet34 73.312 26.688 91.426 8.574 21.8 224 0.875 bilinear
165 swsl_resnet18 73.276 26.724 91.734 8.266 11.69 224 0.875 bilinear
166 skresnet18 73.038 26.962 91.168 8.832 11.96 224 0.875 bicubic
167 ssl_resnet18 72.61 27.39 91.416 8.584 11.69 224 0.875 bilinear
168 hrnet_w18_small 72.342 27.658 90.678 9.322 13.19 224 0.875 bilinear
169 tf_mobilenetv3_large_minimal_100 72.248 27.752 90.63 9.37 3.92 224 0.875 bilinear
170 seresnet18 71.742 28.258 90.334 9.666 11.78 224 0.875 bicubic
171 gluon_resnet18_v1b 70.836 29.164 89.76 89.762 10.24 10.238 11.69 224 0.875 bicubic
172 resnet18 69.748 30.252 89.078 10.922 11.69 224 0.875 bilinear
173 tf_mobilenetv3_small_100 67.922 32.078 87.664 12.336 2.54 224 0.875 bilinear
174 dla60x_c 67.892 32.108 88.426 11.574 1.34 224 0.875 bilinear

19
results/results-imagenetv2-matched-frequency.csv
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@ -1,9 +1,15 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns_475,80.46,19.54,95.73,4.27,480.31,475,0.936,bicubic
tf_efficientnet_l2_ns,80.25,19.75,95.84,4.16,480.31,800,0.96,bicubic
tf_efficientnet_b7_ns,78.51,21.49,94.38,5.62,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,77.28,22.72,93.89,6.11,43.04,528,0.942,bicubic
ig_resnext101_32x48d,76.87,23.13,93.31,6.69,828.41,224,0.875,bilinear
ig_resnext101_32x32d,76.84,23.16,93.2,6.8,468.53,224,0.875,bilinear
tf_efficientnet_b5_ns,76.81,23.19,93.58,6.42,30.39,456,0.934,bicubic
tf_efficientnet_b7_ap,76.09,23.91,92.97,7.03,66.35,600,0.949,bicubic
tf_efficientnet_b8_ap,76.09,23.91,92.73,7.27,87.41,672,0.954,bicubic
ig_resnext101_32x16d,75.72,24.28,92.91,7.09,194.03,224,0.875,bilinear
tf_efficientnet_b4_ns,75.67,24.33,93.05,6.95,19.34,380,0.922,bicubic
swsl_resnext101_32x8d,75.43,24.57,92.76,7.24,88.79,224,0.875,bilinear
tf_efficientnet_b6_ap,75.38,24.62,92.44,7.56,43.04,528,0.942,bicubic
tf_efficientnet_b8,74.94,25.06,92.31,7.69,87.41,672,0.954,bicubic
@ -12,6 +18,7 @@ tf_efficientnet_b5_ap,74.6,25.4,91.99,8.01,30.39,456,0.934,bicubic
swsl_resnext101_32x4d,74.14,25.86,91.99,8.01,44.18,224,0.875,bilinear
swsl_resnext101_32x16d,74.02,25.98,92.16,7.84,194.03,224,0.875,bilinear
tf_efficientnet_b6,73.9,26.1,91.75,8.25,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,73.89,26.11,91.87,8.13,12.23,300,0.904,bicubic
ig_resnext101_32x8d,73.65,26.35,92.19,7.81,88.79,224,0.875,bilinear
tf_efficientnet_b5,73.55,26.45,91.46,8.54,30.39,456,0.934,bicubic
tf_efficientnet_b4_ap,72.89,27.11,90.98,9.02,19.34,380,0.922,bicubic
@ -19,11 +26,13 @@ swsl_resnext50_32x4d,72.56,27.44,90.87,9.13,25.03,224,0.875,bilinear
pnasnet5large,72.38,27.62,90.24,9.76,86.06,331,0.875,bicubic
nasnetalarge,72.32,27.68,90.53,9.47,88.75,331,0.875,bicubic
tf_efficientnet_b4,72.29,27.71,90.59,9.41,19.34,380,0.922,bicubic
tf_efficientnet_b2_ns,72.28,27.72,91.09,8.91,9.11,260,0.89,bicubic
swsl_resnet50,71.7,28.3,90.5,9.5,25.56,224,0.875,bilinear
ssl_resnext101_32x8d,71.5,28.5,90.46,9.54,88.79,224,0.875,bilinear
ssl_resnext101_32x16d,71.41,28.59,90.56,9.44,194.03,224,0.875,bilinear
tf_efficientnet_b3_ap,70.92,29.08,89.43,10.57,12.23,300,0.904,bicubic
efficientnet_b3a,70.87,29.13,89.72,10.28,12.23,320,1.0,bicubic
tf_efficientnet_b1_ns,70.87,29.13,90.12,9.88,7.79,240,0.882,bicubic
efficientnet_b3,70.76,29.24,89.85,10.15,12.23,300,0.904,bicubic
tf_efficientnet_b3,70.64,29.36,89.44,10.56,12.23,300,0.904,bicubic
gluon_senet154,70.6,29.4,88.92,11.08,115.09,224,0.875,bicubic
@ -31,7 +40,7 @@ ssl_resnext101_32x4d,70.53,29.47,89.76,10.24,44.18,224,0.875,bilinear
senet154,70.5,29.5,89.01,10.99,115.09,224,0.875,bilinear
gluon_seresnext101_64x4d,70.43,29.57,89.35,10.65,88.23,224,0.875,bicubic
gluon_resnet152_v1s,70.29,29.71,88.85,11.15,60.32,224,0.875,bicubic
inception_resnet_v2,70.12,29.88,88.69,11.31,55.84,299,0.8975,bicubic
inception_resnet_v2,70.12,29.88,88.7,11.3,55.84,299,0.8975,bicubic
gluon_seresnext101_32x4d,70.01,29.99,88.9,11.1,48.96,224,0.875,bicubic
gluon_resnet152_v1d,69.96,30.04,88.49,11.51,60.21,224,0.875,bicubic
ssl_resnext50_32x4d,69.71,30.29,89.44,10.56,25.03,224,0.875,bilinear
@ -57,6 +66,7 @@ gluon_seresnext50_32x4d,68.67,31.33,88.31,11.69,27.56,224,0.875,bicubic
hrnet_w64,68.64,31.36,88.05,11.95,128.06,224,0.875,bilinear
dpn98,68.59,31.41,87.68,12.32,61.57,224,0.875,bicubic
ssl_resnet50,68.41,31.59,88.56,11.44,25.56,224,0.875,bilinear
skresnext50_32x4d,68.35,31.65,87.57,12.43,27.48,224,0.875,bicubic
dla102x2,68.33,31.67,87.89,12.11,41.75,224,0.875,bilinear
gluon_resnext50_32x4d,68.31,31.69,87.3,12.7,25.03,224,0.875,bicubic
tf_efficientnet_el,68.18,31.82,88.35,11.65,10.59,300,0.904,bicubic
@ -66,6 +76,7 @@ resnext101_32x8d,67.86,32.14,87.49,12.51,88.79,224,0.875,bilinear
seresnext50_32x4d,67.84,32.16,87.62,12.38,27.56,224,0.875,bilinear
hrnet_w48,67.77,32.23,87.42,12.58,77.47,224,0.875,bilinear
hrnet_w44,67.74,32.26,87.56,12.44,67.06,224,0.875,bilinear
tf_efficientnet_b0_ns,67.71,32.29,88.07,11.93,5.29,224,0.875,bicubic
xception,67.65,32.35,87.57,12.43,22.86,299,0.8975,bicubic
dla169,67.61,32.39,87.59,12.41,53.99,224,0.875,bilinear
gluon_inception_v3,67.59,32.41,87.47,12.53,23.83,299,0.875,bicubic
@ -87,6 +98,7 @@ dla60_res2net,67.02,32.98,87.16,12.84,21.15,224,0.875,bilinear
dla102x,67.01,32.99,86.77,13.23,26.77,224,0.875,bilinear
mixnet_l,66.94,33.06,86.91,13.09,7.33,224,0.875,bicubic
res2net50_26w_6s,66.91,33.09,86.86,13.14,37.05,224,0.875,bilinear
efficientnet_es,66.88,33.12,86.73,13.27,5.44,224,0.875,bicubic
tf_efficientnet_b1,66.88,33.12,87.01,12.99,7.79,240,0.882,bicubic
tf_efficientnet_em,66.88,33.12,86.97,13.03,6.9,240,0.882,bicubic
resnext50_32x4d,66.87,33.13,86.34,13.66,25.03,224,0.875,bicubic
@ -95,7 +107,7 @@ tf_mixnet_l,66.78,33.22,86.47,13.53,7.33,224,0.875,bicubic
selecsls60b,66.76,33.24,86.53,13.47,32.77,224,0.875,bicubic
hrnet_w32,66.75,33.25,87.3,12.7,41.23,224,0.875,bilinear
wide_resnet101_2,66.73,33.27,87.03,12.97,126.89,224,0.875,bilinear
adv_inception_v3,66.65,33.35,86.53,13.47,23.83,299,0.875,bicubic
adv_inception_v3,66.65,33.35,86.54,13.46,23.83,299,0.875,bicubic
wide_resnet50_2,66.65,33.35,86.8,13.2,68.88,224,0.875,bilinear
dla60_res2next,66.64,33.36,87.03,12.97,17.33,224,0.875,bilinear
gluon_resnet50_v1c,66.56,33.44,86.18,13.82,25.58,224,0.875,bicubic
@ -106,7 +118,7 @@ seresnet50,66.25,33.75,86.33,13.67,28.09,224,0.875,bilinear
selecsls60,66.21,33.79,86.34,13.66,30.67,224,0.875,bicubic
tv_resnext50_32x4d,66.18,33.82,86.04,13.96,25.03,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,66.17,33.83,86.24,13.76,24.01,224,0.875,bicubic
inception_v3,66.15,33.85,86.33,13.67,27.16,299,0.875,bicubic
inception_v3,66.16,33.84,86.32,13.68,27.16,299,0.875,bicubic
res2net50_26w_4s,66.14,33.86,86.6,13.4,25.7,224,0.875,bilinear
gluon_resnet50_v1b,66.07,33.93,86.26,13.74,25.56,224,0.875,bicubic
res2net50_14w_8s,66.02,33.98,86.25,13.75,25.06,224,0.875,bilinear
@ -151,6 +163,7 @@ mnasnet_100,61.9,38.1,83.71,16.29,4.38,224,0.875,bicubic
ssl_resnet18,61.48,38.52,83.3,16.7,11.69,224,0.875,bilinear
spnasnet_100,61.22,38.78,82.79,17.21,4.42,224,0.875,bilinear
tv_resnet34,61.19,38.81,82.71,17.29,21.8,224,0.875,bilinear
skresnet18,60.86,39.14,82.88,17.12,11.96,224,0.875,bicubic
tf_mobilenetv3_large_075,60.4,39.6,81.95,18.05,3.99,224,0.875,bilinear
seresnet18,59.8,40.2,81.69,18.31,11.78,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,59.07,40.93,81.15,18.85,3.92,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns_475 80.46 19.54 95.73 4.27 480.31 475 0.936 bicubic
3 tf_efficientnet_l2_ns 80.25 19.75 95.84 4.16 480.31 800 0.96 bicubic
4 tf_efficientnet_b7_ns 78.51 21.49 94.38 5.62 66.35 600 0.949 bicubic
5 tf_efficientnet_b6_ns 77.28 22.72 93.89 6.11 43.04 528 0.942 bicubic
6 ig_resnext101_32x48d 76.87 23.13 93.31 6.69 828.41 224 0.875 bilinear
7 ig_resnext101_32x32d 76.84 23.16 93.2 6.8 468.53 224 0.875 bilinear
8 tf_efficientnet_b5_ns 76.81 23.19 93.58 6.42 30.39 456 0.934 bicubic
9 tf_efficientnet_b7_ap 76.09 23.91 92.97 7.03 66.35 600 0.949 bicubic
10 tf_efficientnet_b8_ap 76.09 23.91 92.73 7.27 87.41 672 0.954 bicubic
11 ig_resnext101_32x16d 75.72 24.28 92.91 7.09 194.03 224 0.875 bilinear
12 tf_efficientnet_b4_ns 75.67 24.33 93.05 6.95 19.34 380 0.922 bicubic
13 swsl_resnext101_32x8d 75.43 24.57 92.76 7.24 88.79 224 0.875 bilinear
14 tf_efficientnet_b6_ap 75.38 24.62 92.44 7.56 43.04 528 0.942 bicubic
15 tf_efficientnet_b8 74.94 25.06 92.31 7.69 87.41 672 0.954 bicubic
18 swsl_resnext101_32x4d 74.14 25.86 91.99 8.01 44.18 224 0.875 bilinear
19 swsl_resnext101_32x16d 74.02 25.98 92.16 7.84 194.03 224 0.875 bilinear
20 tf_efficientnet_b6 73.9 26.1 91.75 8.25 43.04 528 0.942 bicubic
21 tf_efficientnet_b3_ns 73.89 26.11 91.87 8.13 12.23 300 0.904 bicubic
22 ig_resnext101_32x8d 73.65 26.35 92.19 7.81 88.79 224 0.875 bilinear
23 tf_efficientnet_b5 73.55 26.45 91.46 8.54 30.39 456 0.934 bicubic
24 tf_efficientnet_b4_ap 72.89 27.11 90.98 9.02 19.34 380 0.922 bicubic
26 pnasnet5large 72.38 27.62 90.24 9.76 86.06 331 0.875 bicubic
27 nasnetalarge 72.32 27.68 90.53 9.47 88.75 331 0.875 bicubic
28 tf_efficientnet_b4 72.29 27.71 90.59 9.41 19.34 380 0.922 bicubic
29 tf_efficientnet_b2_ns 72.28 27.72 91.09 8.91 9.11 260 0.89 bicubic
30 swsl_resnet50 71.7 28.3 90.5 9.5 25.56 224 0.875 bilinear
31 ssl_resnext101_32x8d 71.5 28.5 90.46 9.54 88.79 224 0.875 bilinear
32 ssl_resnext101_32x16d 71.41 28.59 90.56 9.44 194.03 224 0.875 bilinear
33 tf_efficientnet_b3_ap 70.92 29.08 89.43 10.57 12.23 300 0.904 bicubic
34 efficientnet_b3a 70.87 29.13 89.72 10.28 12.23 320 1.0 bicubic
35 tf_efficientnet_b1_ns 70.87 29.13 90.12 9.88 7.79 240 0.882 bicubic
36 efficientnet_b3 70.76 29.24 89.85 10.15 12.23 300 0.904 bicubic
37 tf_efficientnet_b3 70.64 29.36 89.44 10.56 12.23 300 0.904 bicubic
38 gluon_senet154 70.6 29.4 88.92 11.08 115.09 224 0.875 bicubic
40 senet154 70.5 29.5 89.01 10.99 115.09 224 0.875 bilinear
41 gluon_seresnext101_64x4d 70.43 29.57 89.35 10.65 88.23 224 0.875 bicubic
42 gluon_resnet152_v1s 70.29 29.71 88.85 11.15 60.32 224 0.875 bicubic
43 inception_resnet_v2 70.12 29.88 88.69 88.7 11.31 11.3 55.84 299 0.8975 bicubic
44 gluon_seresnext101_32x4d 70.01 29.99 88.9 11.1 48.96 224 0.875 bicubic
45 gluon_resnet152_v1d 69.96 30.04 88.49 11.51 60.21 224 0.875 bicubic
46 ssl_resnext50_32x4d 69.71 30.29 89.44 10.56 25.03 224 0.875 bilinear
66 hrnet_w64 68.64 31.36 88.05 11.95 128.06 224 0.875 bilinear
67 dpn98 68.59 31.41 87.68 12.32 61.57 224 0.875 bicubic
68 ssl_resnet50 68.41 31.59 88.56 11.44 25.56 224 0.875 bilinear
69 skresnext50_32x4d 68.35 31.65 87.57 12.43 27.48 224 0.875 bicubic
70 dla102x2 68.33 31.67 87.89 12.11 41.75 224 0.875 bilinear
71 gluon_resnext50_32x4d 68.31 31.69 87.3 12.7 25.03 224 0.875 bicubic
72 tf_efficientnet_el 68.18 31.82 88.35 11.65 10.59 300 0.904 bicubic
76 seresnext50_32x4d 67.84 32.16 87.62 12.38 27.56 224 0.875 bilinear
77 hrnet_w48 67.77 32.23 87.42 12.58 77.47 224 0.875 bilinear
78 hrnet_w44 67.74 32.26 87.56 12.44 67.06 224 0.875 bilinear
79 tf_efficientnet_b0_ns 67.71 32.29 88.07 11.93 5.29 224 0.875 bicubic
80 xception 67.65 32.35 87.57 12.43 22.86 299 0.8975 bicubic
81 dla169 67.61 32.39 87.59 12.41 53.99 224 0.875 bilinear
82 gluon_inception_v3 67.59 32.41 87.47 12.53 23.83 299 0.875 bicubic
98 dla102x 67.01 32.99 86.77 13.23 26.77 224 0.875 bilinear
99 mixnet_l 66.94 33.06 86.91 13.09 7.33 224 0.875 bicubic
100 res2net50_26w_6s 66.91 33.09 86.86 13.14 37.05 224 0.875 bilinear
101 efficientnet_es 66.88 33.12 86.73 13.27 5.44 224 0.875 bicubic
102 tf_efficientnet_b1 66.88 33.12 87.01 12.99 7.79 240 0.882 bicubic
103 tf_efficientnet_em 66.88 33.12 86.97 13.03 6.9 240 0.882 bicubic
104 resnext50_32x4d 66.87 33.13 86.34 13.66 25.03 224 0.875 bicubic
107 selecsls60b 66.76 33.24 86.53 13.47 32.77 224 0.875 bicubic
108 hrnet_w32 66.75 33.25 87.3 12.7 41.23 224 0.875 bilinear
109 wide_resnet101_2 66.73 33.27 87.03 12.97 126.89 224 0.875 bilinear
110 adv_inception_v3 66.65 33.35 86.53 86.54 13.47 13.46 23.83 299 0.875 bicubic
111 wide_resnet50_2 66.65 33.35 86.8 13.2 68.88 224 0.875 bilinear
112 dla60_res2next 66.64 33.36 87.03 12.97 17.33 224 0.875 bilinear
113 gluon_resnet50_v1c 66.56 33.44 86.18 13.82 25.58 224 0.875 bicubic
118 selecsls60 66.21 33.79 86.34 13.66 30.67 224 0.875 bicubic
119 tv_resnext50_32x4d 66.18 33.82 86.04 13.96 25.03 224 0.875 bilinear
120 tf_efficientnet_cc_b0_8e 66.17 33.83 86.24 13.76 24.01 224 0.875 bicubic
121 inception_v3 66.15 66.16 33.85 33.84 86.33 86.32 13.67 13.68 27.16 299 0.875 bicubic
122 res2net50_26w_4s 66.14 33.86 86.6 13.4 25.7 224 0.875 bilinear
123 gluon_resnet50_v1b 66.07 33.93 86.26 13.74 25.56 224 0.875 bicubic
124 res2net50_14w_8s 66.02 33.98 86.25 13.75 25.06 224 0.875 bilinear
163 ssl_resnet18 61.48 38.52 83.3 16.7 11.69 224 0.875 bilinear
164 spnasnet_100 61.22 38.78 82.79 17.21 4.42 224 0.875 bilinear
165 tv_resnet34 61.19 38.81 82.71 17.29 21.8 224 0.875 bilinear
166 skresnet18 60.86 39.14 82.88 17.12 11.96 224 0.875 bicubic
167 tf_mobilenetv3_large_075 60.4 39.6 81.95 18.05 3.99 224 0.875 bilinear
168 seresnet18 59.8 40.2 81.69 18.31 11.78 224 0.875 bicubic
169 tf_mobilenetv3_large_minimal_100 59.07 40.93 81.15 18.85 3.92 224 0.875 bilinear

33
results/results-sketch.csv
Unescape View File

@ -6,19 +6,28 @@ swsl_resnext101_32x16d,57.4584,42.5416,80.3848,19.6152,194.03,224,0.875,bilinear
swsl_resnext101_32x8d,56.4385,43.5615,78.9444,21.0556,88.79,224,0.875,bilinear
ig_resnext101_32x8d,54.9176,45.0824,77.5335,22.4665,88.79,224,0.875,bilinear
swsl_resnext101_32x4d,53.6029,46.3971,76.3466,23.6534,44.18,224,0.875,bilinear
tf_efficientnet_l2_ns_475,51.4944,48.5056,73.9276,26.0724,480.31,475,0.936,bicubic
swsl_resnext50_32x4d,50.4372,49.5628,73.3675,26.6325,25.03,224,0.875,bilinear
swsl_resnet50,49.5412,50.4588,72.3339,27.6661,25.56,224,0.875,bilinear
tf_efficientnet_b7_ns,47.8001,52.1999,69.6398,30.3602,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,47.7608,52.2392,69.968,30.032,43.04,528,0.942,bicubic
tf_efficientnet_l2_ns,47.6311,52.3689,70.0033,29.9967,480.31,800,0.961,bicubic
tf_efficientnet_b8_ap,45.7741,54.2259,67.9106,32.0894,87.41,672,0.954,bicubic
tf_efficientnet_b8,42.508,57.492,64.857,35.143,87.41,672,0.954,bicubic
tf_efficientnet_b5_ns,45.615,54.385,67.8418,32.1582,30.39,456,0.934,bicubic
tf_efficientnet_b4_ns,43.4495,56.5505,65.5191,34.4809,19.34,380,0.922,bicubic
tf_efficientnet_b8,42.5082,57.4918,64.8568,35.1432,87.41,672,0.954,bicubic
tf_efficientnet_b7,41.4314,58.5686,63.0175,36.9825,66.35,600,0.949,bicubic
tf_efficientnet_b7_ap,41.4294,58.5706,62.8741,37.1259,66.35,600,0.949,bicubic
tf_efficientnet_b5_ap,41.4176,58.5824,62.0841,37.9159,30.39,456,0.934,bicubic
tf_efficientnet_b6_ap,41.0993,58.9007,62.3553,37.6447,43.04,528,0.942,bicubic
tf_efficientnet_b4_ap,40.4842,59.5158,61.7226,38.2774,19.34,380,0.922,bicubic
tf_efficientnet_b3_ns,39.5842,60.4158,61.4534,38.5466,12.23,300,0.904,bicubic
tf_efficientnet_b5,38.356,61.644,59.9128,40.0872,30.39,456,0.934,bicubic
tf_efficientnet_b3_ap,37.0552,62.9448,57.2403,42.7597,12.23,300,0.904,bicubic
tf_efficientnet_b2_ns,36.1827,63.8173,57.5507,42.4493,9.11,260,0.89,bicubic
swsl_resnet18,35.8584,64.1416,58.4547,41.5453,11.69,224,0.875,bilinear
ssl_resnext101_32x16d,34.6028,65.3972,55.9315,44.0685,194.03,224,0.875,bilinear
ssl_resnext101_32x16d,34.6047,65.3953,55.9315,44.0685,194.03,224,0.875,bilinear
tf_efficientnet_b1_ns,34.1567,65.8433,55.4894,44.5106,7.79,240,0.882,bicubic
tf_efficientnet_b4,34.0643,65.9357,54.1984,45.8016,19.34,380,0.922,bicubic
ssl_resnext101_32x8d,34.0172,65.9828,55.6014,44.3986,88.79,224,0.875,bilinear
tf_efficientnet_b6,33.9975,66.0025,54.5442,45.4558,43.04,528,0.942,bicubic
@ -28,7 +37,7 @@ gluon_resnet152_v1d,32.734,67.266,51.0877,48.9123,60.21,224,0.875,bicubic
tf_efficientnet_b2_ap,32.6809,67.3191,52.2392,47.7608,9.11,260,0.89,bicubic
nasnetalarge,32.5964,67.4036,49.7789,50.2211,88.75,331,0.875,bicubic
pnasnet5large,32.5296,67.4704,50.1916,49.8084,86.06,331,0.875,bicubic
ens_adv_inception_resnet_v2,32.3724,67.6276,50.4274,49.5726,55.84,299,0.8975,bicubic
ens_adv_inception_resnet_v2,32.3705,67.6295,50.4274,49.5726,55.84,299,0.8975,bicubic
gluon_resnet152_v1s,32.3312,67.6688,50.5257,49.4743,60.32,224,0.875,bicubic
gluon_seresnext101_64x4d,32.2054,67.7946,50.3193,49.6807,88.23,224,0.875,bicubic
gluon_seresnext101_32x4d,32.1071,67.8929,51.237,48.763,48.96,224,0.875,bicubic
@ -56,23 +65,25 @@ senet154,30.0006,69.9994,48.034,51.966,115.09,224,0.875,bilinear
dpn92,29.9534,70.0466,49.1619,50.8381,37.67,224,0.875,bicubic
gluon_senet154,29.8768,70.1232,47.8944,52.1056,115.09,224,0.875,bicubic
xception,29.865,70.135,48.6864,51.3136,22.86,299,0.8975,bicubic
adv_inception_v3,29.8178,70.1822,47.8473,52.1527,23.83,299,0.875,bicubic
adv_inception_v3,29.8159,70.1841,47.8473,52.1527,23.83,299,0.875,bicubic
efficientnet_b2,29.6154,70.3846,48.7767,51.2233,9.11,260,0.875,bicubic
gluon_xception65,29.5506,70.4494,47.5054,52.4946,39.92,299,0.875,bicubic
resnext101_32x8d,29.4386,70.5614,48.4859,51.5141,88.79,224,0.875,bilinear
ssl_resnet50,29.4229,70.5771,49.7809,50.2191,25.56,224,0.875,bilinear
gluon_inception_v3,29.1242,70.8758,46.9591,53.0409,23.83,299,0.875,bicubic
gluon_inception_v3,29.1242,70.8758,46.9571,53.0429,23.83,299,0.875,bicubic
hrnet_w64,28.9886,71.0114,47.1418,52.8582,128.06,224,0.875,bilinear
tf_efficientnet_b0_ns,28.9021,71.0979,49.0106,50.9894,5.29,224,0.875,bicubic
tf_efficientnet_b1,28.8864,71.1136,47.5034,52.4966,7.79,240,0.882,bicubic
gluon_resnet101_v1b,28.8785,71.1215,46.3892,53.6108,44.55,224,0.875,bicubic
skresnext50_32x4d,28.8176,71.1824,46.4973,53.5027,27.48,224,0.875,bicubic
gluon_seresnext50_32x4d,28.6506,71.3494,46.4364,53.5636,27.56,224,0.875,bicubic
hrnet_w40,28.6408,71.3592,47.4543,52.5457,57.56,224,0.875,bilinear
resnet152,28.5327,71.4673,47.1182,52.8818,60.19,224,0.875,bilinear
hrnet_w48,28.4128,71.5872,47.5859,52.4141,77.47,224,0.875,bilinear
gluon_resnext50_32x4d,28.3755,71.6245,45.3281,54.6719,25.03,224,0.875,bicubic
tf_efficientnet_b0_ap,28.346,71.654,47.5309,52.4691,5.29,224,0.875,bicubic
dla102x2,28.3146,71.6854,46.7606,53.2394,41.75,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,28.3146,71.6854,47.3639,52.6361,13.31,224,0.875,bicubic
dla102x2,28.3126,71.6874,46.7606,53.2394,41.75,224,0.875,bilinear
dla169,28.3126,71.6874,47.3914,52.6086,53.99,224,0.875,bilinear
mixnet_xl,28.2871,71.7129,46.7016,53.2984,11.9,224,0.875,bicubic
gluon_resnet50_v1d,28.2458,71.7542,45.8783,54.1217,25.58,224,0.875,bicubic
@ -80,22 +91,23 @@ wide_resnet101_2,28.1082,71.8918,46.401,53.599,126.89,224,0.875,bilinear
gluon_resnet101_v1c,28.1043,71.8957,45.9608,54.0392,44.57,224,0.875,bicubic
densenet161,28.0807,71.9193,46.6407,53.3593,28.68,224,0.875,bicubic
dpn68b,27.8842,72.1158,47.468,52.532,12.61,224,0.875,bicubic
tf_inception_v3,27.7801,72.2199,45.7211,54.2789,23.83,299,0.875,bicubic
tf_inception_v3,27.782,72.218,45.7191,54.2809,23.83,299,0.875,bicubic
res2net101_26w_4s,27.7683,72.2317,45.1787,54.8213,45.21,224,0.875,bilinear
hrnet_w44,27.6209,72.3791,45.837,54.163,67.06,224,0.875,bilinear
inception_v3,27.5561,72.4439,45.2652,54.7348,27.16,299,0.875,bicubic
inception_v3,27.5561,72.4439,45.2632,54.7368,27.16,299,0.875,bicubic
hrnet_w30,27.3812,72.6188,46.5543,53.4457,37.71,224,0.875,bilinear
hrnet_w32,27.3694,72.6306,45.9942,54.0058,41.23,224,0.875,bilinear
gluon_resnet50_v1s,27.3261,72.6739,45.222,54.778,25.68,224,0.875,bicubic
densenet201,27.2652,72.7348,46.2222,53.7778,20.01,224,0.875,bicubic
res2net50_26w_8s,27.0785,72.9215,44.4281,55.5719,48.4,224,0.875,bilinear
dla102x,27.0609,72.9391,45.4754,54.5246,26.77,224,0.875,bilinear
dla102x,27.0609,72.9391,45.4735,54.5265,26.77,224,0.875,bilinear
resnet101,26.9626,73.0374,45.2337,54.7663,44.55,224,0.875,bilinear
resnext50d_32x4d,26.8761,73.1239,44.4359,55.5641,25.05,224,0.875,bicubic
densenet169,26.829,73.171,45.3733,54.6267,14.15,224,0.875,bicubic
seresnext101_32x4d,26.8113,73.1887,43.4966,56.5034,48.96,224,0.875,bilinear
seresnet152,26.6757,73.3243,43.9466,56.0534,66.82,224,0.875,bilinear
tf_efficientnet_el,26.6226,73.3774,44.6482,55.3518,10.59,300,0.904,bicubic
efficientnet_es,26.6207,73.3793,45.1119,54.8881,5.44,224,0.875,bicubic
res2net50_26w_6s,26.5951,73.4049,43.9899,56.0101,37.05,224,0.875,bilinear
dla60x,26.5519,73.4481,45.0235,54.9765,17.65,224,0.875,bilinear
tf_efficientnet_b0,26.4851,73.5149,45.6464,54.3536,5.29,224,0.875,bicubic
@ -125,12 +137,13 @@ efficientnet_b0,25.0152,74.9848,42.7872,57.2128,5.29,224,0.875,bicubic
gluon_resnet34_v1b,24.9386,75.0614,42.2429,57.7571,21.8,224,0.875,bicubic
dla60,24.9327,75.0673,43.2962,56.7038,22.33,224,0.875,bilinear
tf_efficientnet_em,24.5416,75.4584,42.4119,57.5881,6.9,240,0.882,bicubic
skresnet18,24.4827,75.5173,42.5357,57.4643,11.96,224,0.875,bicubic
tv_resnet50,24.07,75.93,41.3134,58.6866,25.56,224,0.875,bilinear
seresnet34,24.0268,75.9732,41.9089,58.0911,21.96,224,0.875,bilinear
densenet121,23.8441,76.1559,41.9246,58.0754,7.98,224,0.875,bicubic
tf_efficientnet_es,23.8185,76.1815,41.3311,58.6689,5.44,224,0.875,bicubic
mixnet_m,23.7104,76.2896,41.1405,58.8595,5.01,224,0.875,bicubic
dla34,23.6692,76.3308,41.5512,58.4488,15.78,224,0.875,bilinear
dla34,23.6692,76.3308,41.5532,58.4468,15.78,224,0.875,bilinear
seresnet50,23.6515,76.3485,40.0912,59.9088,28.09,224,0.875,bilinear
tf_mixnet_m,23.4844,76.5156,40.9892,59.0108,5.01,224,0.875,bicubic
tv_resnet34,23.4727,76.5273,41.3665,58.6335,21.8,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
6 swsl_resnext101_32x8d 56.4385 43.5615 78.9444 21.0556 88.79 224 0.875 bilinear
7 ig_resnext101_32x8d 54.9176 45.0824 77.5335 22.4665 88.79 224 0.875 bilinear
8 swsl_resnext101_32x4d 53.6029 46.3971 76.3466 23.6534 44.18 224 0.875 bilinear
9 tf_efficientnet_l2_ns_475 51.4944 48.5056 73.9276 26.0724 480.31 475 0.936 bicubic
10 swsl_resnext50_32x4d 50.4372 49.5628 73.3675 26.6325 25.03 224 0.875 bilinear
11 swsl_resnet50 49.5412 50.4588 72.3339 27.6661 25.56 224 0.875 bilinear
12 tf_efficientnet_b7_ns 47.8001 52.1999 69.6398 30.3602 66.35 600 0.949 bicubic
13 tf_efficientnet_b6_ns 47.7608 52.2392 69.968 30.032 43.04 528 0.942 bicubic
14 tf_efficientnet_l2_ns 47.6311 52.3689 70.0033 29.9967 480.31 800 0.961 bicubic
15 tf_efficientnet_b8_ap 45.7741 54.2259 67.9106 32.0894 87.41 672 0.954 bicubic
16 tf_efficientnet_b8 tf_efficientnet_b5_ns 42.508 45.615 57.492 54.385 64.857 67.8418 35.143 32.1582 87.41 30.39 672 456 0.954 0.934 bicubic
17 tf_efficientnet_b4_ns 43.4495 56.5505 65.5191 34.4809 19.34 380 0.922 bicubic
18 tf_efficientnet_b8 42.5082 57.4918 64.8568 35.1432 87.41 672 0.954 bicubic
19 tf_efficientnet_b7 41.4314 58.5686 63.0175 36.9825 66.35 600 0.949 bicubic
20 tf_efficientnet_b7_ap 41.4294 58.5706 62.8741 37.1259 66.35 600 0.949 bicubic
21 tf_efficientnet_b5_ap 41.4176 58.5824 62.0841 37.9159 30.39 456 0.934 bicubic
22 tf_efficientnet_b6_ap 41.0993 58.9007 62.3553 37.6447 43.04 528 0.942 bicubic
23 tf_efficientnet_b4_ap 40.4842 59.5158 61.7226 38.2774 19.34 380 0.922 bicubic
24 tf_efficientnet_b3_ns 39.5842 60.4158 61.4534 38.5466 12.23 300 0.904 bicubic
25 tf_efficientnet_b5 38.356 61.644 59.9128 40.0872 30.39 456 0.934 bicubic
26 tf_efficientnet_b3_ap 37.0552 62.9448 57.2403 42.7597 12.23 300 0.904 bicubic
27 tf_efficientnet_b2_ns 36.1827 63.8173 57.5507 42.4493 9.11 260 0.89 bicubic
28 swsl_resnet18 35.8584 64.1416 58.4547 41.5453 11.69 224 0.875 bilinear
29 ssl_resnext101_32x16d 34.6028 34.6047 65.3972 65.3953 55.9315 44.0685 194.03 224 0.875 bilinear
30 tf_efficientnet_b1_ns 34.1567 65.8433 55.4894 44.5106 7.79 240 0.882 bicubic
31 tf_efficientnet_b4 34.0643 65.9357 54.1984 45.8016 19.34 380 0.922 bicubic
32 ssl_resnext101_32x8d 34.0172 65.9828 55.6014 44.3986 88.79 224 0.875 bilinear
33 tf_efficientnet_b6 33.9975 66.0025 54.5442 45.4558 43.04 528 0.942 bicubic
37 tf_efficientnet_b2_ap 32.6809 67.3191 52.2392 47.7608 9.11 260 0.89 bicubic
38 nasnetalarge 32.5964 67.4036 49.7789 50.2211 88.75 331 0.875 bicubic
39 pnasnet5large 32.5296 67.4704 50.1916 49.8084 86.06 331 0.875 bicubic
40 ens_adv_inception_resnet_v2 32.3724 32.3705 67.6276 67.6295 50.4274 49.5726 55.84 299 0.8975 bicubic
41 gluon_resnet152_v1s 32.3312 67.6688 50.5257 49.4743 60.32 224 0.875 bicubic
42 gluon_seresnext101_64x4d 32.2054 67.7946 50.3193 49.6807 88.23 224 0.875 bicubic
43 gluon_seresnext101_32x4d 32.1071 67.8929 51.237 48.763 48.96 224 0.875 bicubic
65 dpn92 29.9534 70.0466 49.1619 50.8381 37.67 224 0.875 bicubic
66 gluon_senet154 29.8768 70.1232 47.8944 52.1056 115.09 224 0.875 bicubic
67 xception 29.865 70.135 48.6864 51.3136 22.86 299 0.8975 bicubic
68 adv_inception_v3 29.8178 29.8159 70.1822 70.1841 47.8473 52.1527 23.83 299 0.875 bicubic
69 efficientnet_b2 29.6154 70.3846 48.7767 51.2233 9.11 260 0.875 bicubic
70 gluon_xception65 29.5506 70.4494 47.5054 52.4946 39.92 299 0.875 bicubic
71 resnext101_32x8d 29.4386 70.5614 48.4859 51.5141 88.79 224 0.875 bilinear
72 ssl_resnet50 29.4229 70.5771 49.7809 50.2191 25.56 224 0.875 bilinear
73 gluon_inception_v3 29.1242 70.8758 46.9591 46.9571 53.0409 53.0429 23.83 299 0.875 bicubic
74 hrnet_w64 28.9886 71.0114 47.1418 52.8582 128.06 224 0.875 bilinear
75 tf_efficientnet_b0_ns 28.9021 71.0979 49.0106 50.9894 5.29 224 0.875 bicubic
76 tf_efficientnet_b1 28.8864 71.1136 47.5034 52.4966 7.79 240 0.882 bicubic
77 gluon_resnet101_v1b 28.8785 71.1215 46.3892 53.6108 44.55 224 0.875 bicubic
78 skresnext50_32x4d 28.8176 71.1824 46.4973 53.5027 27.48 224 0.875 bicubic
79 gluon_seresnext50_32x4d 28.6506 71.3494 46.4364 53.5636 27.56 224 0.875 bicubic
80 hrnet_w40 28.6408 71.3592 47.4543 52.5457 57.56 224 0.875 bilinear
81 resnet152 28.5327 71.4673 47.1182 52.8818 60.19 224 0.875 bilinear
82 hrnet_w48 28.4128 71.5872 47.5859 52.4141 77.47 224 0.875 bilinear
83 gluon_resnext50_32x4d 28.3755 71.6245 45.3281 54.6719 25.03 224 0.875 bicubic
84 tf_efficientnet_b0_ap 28.346 71.654 47.5309 52.4691 5.29 224 0.875 bicubic
85 dla102x2 28.3146 71.6854 46.7606 53.2394 41.75 224 0.875 bilinear
86 tf_efficientnet_cc_b0_4e 28.3146 71.6854 47.3639 52.6361 13.31 224 0.875 bicubic
dla102x2 28.3126 71.6874 46.7606 53.2394 41.75 224 0.875 bilinear
87 dla169 28.3126 71.6874 47.3914 52.6086 53.99 224 0.875 bilinear
88 mixnet_xl 28.2871 71.7129 46.7016 53.2984 11.9 224 0.875 bicubic
89 gluon_resnet50_v1d 28.2458 71.7542 45.8783 54.1217 25.58 224 0.875 bicubic
91 gluon_resnet101_v1c 28.1043 71.8957 45.9608 54.0392 44.57 224 0.875 bicubic
92 densenet161 28.0807 71.9193 46.6407 53.3593 28.68 224 0.875 bicubic
93 dpn68b 27.8842 72.1158 47.468 52.532 12.61 224 0.875 bicubic
94 tf_inception_v3 27.7801 27.782 72.2199 72.218 45.7211 45.7191 54.2789 54.2809 23.83 299 0.875 bicubic
95 res2net101_26w_4s 27.7683 72.2317 45.1787 54.8213 45.21 224 0.875 bilinear
96 hrnet_w44 27.6209 72.3791 45.837 54.163 67.06 224 0.875 bilinear
97 inception_v3 27.5561 72.4439 45.2652 45.2632 54.7348 54.7368 27.16 299 0.875 bicubic
98 hrnet_w30 27.3812 72.6188 46.5543 53.4457 37.71 224 0.875 bilinear
99 hrnet_w32 27.3694 72.6306 45.9942 54.0058 41.23 224 0.875 bilinear
100 gluon_resnet50_v1s 27.3261 72.6739 45.222 54.778 25.68 224 0.875 bicubic
101 densenet201 27.2652 72.7348 46.2222 53.7778 20.01 224 0.875 bicubic
102 res2net50_26w_8s 27.0785 72.9215 44.4281 55.5719 48.4 224 0.875 bilinear
103 dla102x 27.0609 72.9391 45.4754 45.4735 54.5246 54.5265 26.77 224 0.875 bilinear
104 resnet101 26.9626 73.0374 45.2337 54.7663 44.55 224 0.875 bilinear
105 resnext50d_32x4d 26.8761 73.1239 44.4359 55.5641 25.05 224 0.875 bicubic
106 densenet169 26.829 73.171 45.3733 54.6267 14.15 224 0.875 bicubic
107 seresnext101_32x4d 26.8113 73.1887 43.4966 56.5034 48.96 224 0.875 bilinear
108 seresnet152 26.6757 73.3243 43.9466 56.0534 66.82 224 0.875 bilinear
109 tf_efficientnet_el 26.6226 73.3774 44.6482 55.3518 10.59 300 0.904 bicubic
110 efficientnet_es 26.6207 73.3793 45.1119 54.8881 5.44 224 0.875 bicubic
111 res2net50_26w_6s 26.5951 73.4049 43.9899 56.0101 37.05 224 0.875 bilinear
112 dla60x 26.5519 73.4481 45.0235 54.9765 17.65 224 0.875 bilinear
113 tf_efficientnet_b0 26.4851 73.5149 45.6464 54.3536 5.29 224 0.875 bicubic
137 gluon_resnet34_v1b 24.9386 75.0614 42.2429 57.7571 21.8 224 0.875 bicubic
138 dla60 24.9327 75.0673 43.2962 56.7038 22.33 224 0.875 bilinear
139 tf_efficientnet_em 24.5416 75.4584 42.4119 57.5881 6.9 240 0.882 bicubic
140 skresnet18 24.4827 75.5173 42.5357 57.4643 11.96 224 0.875 bicubic
141 tv_resnet50 24.07 75.93 41.3134 58.6866 25.56 224 0.875 bilinear
142 seresnet34 24.0268 75.9732 41.9089 58.0911 21.96 224 0.875 bilinear
143 densenet121 23.8441 76.1559 41.9246 58.0754 7.98 224 0.875 bicubic
144 tf_efficientnet_es 23.8185 76.1815 41.3311 58.6689 5.44 224 0.875 bicubic
145 mixnet_m 23.7104 76.2896 41.1405 58.8595 5.01 224 0.875 bicubic
146 dla34 23.6692 76.3308 41.5512 41.5532 58.4488 58.4468 15.78 224 0.875 bilinear
147 seresnet50 23.6515 76.3485 40.0912 59.9088 28.09 224 0.875 bilinear
148 tf_mixnet_m 23.4844 76.5156 40.9892 59.0108 5.01 224 0.875 bicubic
149 tv_resnet34 23.4727 76.5273 41.3665 58.6335 21.8 224 0.875 bilinear
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