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pull/155/head
Ross Wightman 4 years ago
parent 13c0a6290e
commit b41b8d0108
4 changed files with 160 additions and 44 deletions
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results/results-imagenet-a.csv
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@ -14,7 +14,9 @@ tf_efficientnet_b8,29.3733,70.6267,57.0667,42.9333,87.41,672,0.954,bicubic
ig_resnext101_32x8d,28.7067,71.2933,52.32,47.68,88.79,224,0.875,bilinear
swsl_resnext101_32x16d,27.9467,72.0533,52.32,47.68,194.03,224,0.875,bilinear
tf_efficientnet_b7_ap,27.8133,72.1867,54.7733,45.2267,66.35,600,0.949,bicubic
resnest269e,27.6133,72.3867,53.1067,46.8933,110.93,416,0.875,bilinear
tresnet_xl_448,26.88,73.12,51.0933,48.9067,78.44,448,0.875,bilinear
resnest200e,26.4267,73.5733,51.9333,48.0667,70.2,320,0.875,bilinear
swsl_resnext101_32x4d,25.3467,74.6533,49.6267,50.3733,44.18,224,0.875,bilinear
tf_efficientnet_b7,25.2533,74.7467,51.6667,48.3333,66.35,600,0.949,bicubic
tresnet_l_448,24.5733,75.4267,48.6,51.4,55.99,448,0.875,bilinear
@ -26,6 +28,7 @@ tf_efficientnet_b3_ns,19.4133,80.5867,44.6267,55.3733,12.23,300,0.904,bicubic
swsl_resnext50_32x4d,18.0667,81.9333,41.8667,58.1333,25.03,224,0.875,bilinear
ssl_resnext101_32x16d,17.2133,82.7867,39.9467,60.0533,194.03,224,0.875,bilinear
tf_efficientnet_b5,17.0667,82.9333,41.9067,58.0933,30.39,456,0.934,bicubic
resnest101e,16.4933,83.5067,40.7467,59.2533,48.28,256,0.875,bilinear
swsl_resnet50,15.9867,84.0133,38.8533,61.1467,25.56,224,0.875,bilinear
ssl_resnext101_32x8d,15.12,84.88,37.72,62.28,88.79,224,0.875,bilinear
tf_efficientnet_b4_ap,13.68,86.32,35.92,64.08,19.34,380,0.922,bicubic
@ -36,14 +39,16 @@ nasnetalarge,12.5733,87.4267,33.4133,66.5867,88.75,331,0.875,bicubic
ssl_resnext101_32x4d,12.12,87.88,31.8933,68.1067,44.18,224,0.875,bilinear
tf_efficientnet_b2_ns,11.7867,88.2133,32.96,67.04,9.11,260,0.89,bicubic
gluon_senet154,9.9067,90.0933,26.4533,73.5467,115.09,224,0.875,bicubic
resnest50d_4s2x40d,9.7867,90.2133,29.1467,70.8533,30.42,224,0.875,bicubic
ssl_resnext50_32x4d,9.6667,90.3333,28.4267,71.5733,25.03,224,0.875,bilinear
senet154,9.4533,90.5467,26.44,73.56,115.09,224,0.875,bilinear
tresnet_xl,9.3067,90.6933,28.4133,71.5867,78.44,224,0.875,bilinear
efficientnet_b3a,9.2667,90.7333,28.4267,71.5733,12.23,320,1,bicubic
efficientnet_b3a,9.2667,90.7333,28.4267,71.5733,12.23,320,1.0,bicubic
efficientnet_b3,8.9467,91.0533,28.2133,71.7867,12.23,300,0.904,bicubic
inception_v4,8.92,91.08,24.7067,75.2933,42.68,299,0.875,bicubic
gluon_seresnext101_64x4d,8.8667,91.1333,27.32,72.68,88.23,224,0.875,bicubic
tf_efficientnet_b1_ns,8.6133,91.3867,27.28,72.72,7.79,240,0.882,bicubic
resnest50d_1s4x24d,8.52,91.48,26.7867,73.2133,25.68,224,0.875,bicubic
ecaresnet50d,8.5067,91.4933,26.2667,73.7333,25.58,224,0.875,bicubic
gluon_xception65,8.4667,91.5333,25.1333,74.8667,39.92,299,0.875,bicubic
gluon_resnet152_v1d,8.4133,91.5867,23.4533,76.5467,60.21,224,0.875,bicubic
@ -55,23 +60,30 @@ ens_adv_inception_resnet_v2,7.9867,92.0133,23.8267,76.1733,55.84,299,0.8975,bicu
tf_efficientnet_lite4,7.9333,92.0667,25.56,74.44,13.01,380,0.92,bilinear
tresnet_l,7.88,92.12,25.1867,74.8133,55.99,224,0.875,bilinear
gluon_resnet152_v1s,7.8667,92.1333,23.1733,76.8267,60.32,224,0.875,bicubic
resnest50d,7.7467,92.2533,25.2933,74.7067,27.48,224,0.875,bilinear
gluon_resnext101_64x4d,7.7067,92.2933,23.24,76.76,83.46,224,0.875,bicubic
skresnext50_32x4d,7.08,92.92,23.0267,76.9733,27.48,224,0.875,bicubic
ssl_resnet50,7,93,23.92,76.08,25.56,224,0.875,bilinear
ssl_resnet50,7.0,93.0,23.92,76.08,25.56,224,0.875,bilinear
regnety_320,6.92,93.08,23.04,76.96,145.05,224,0.875,bicubic
ecaresnet101d_pruned,6.8,93.2,24.2,75.8,24.88,224,0.875,bicubic
ecaresnetlight,6.76,93.24,22.56,77.44,30.16,224,0.875,bicubic
efficientnet_b2a,6.76,93.24,23.4933,76.5067,9.11,288,1,bicubic
efficientnet_b2a,6.76,93.24,23.4933,76.5067,9.11,288,1.0,bicubic
seresnext101_32x4d,6.4133,93.5867,21.52,78.48,48.96,224,0.875,bilinear
efficientnet_b2,6.0933,93.9067,21.9333,78.0667,9.11,260,0.875,bicubic
gluon_resnext101_32x4d,6.04,93.96,21.1333,78.8667,44.18,224,0.875,bicubic
regnetx_320,5.9867,94.0133,19.88,80.12,107.81,224,0.875,bicubic
ese_vovnet39b,5.9733,94.0267,21.2933,78.7067,24.57,224,0.875,bicubic
gluon_resnet101_v1d,5.92,94.08,19.9467,80.0533,44.57,224,0.875,bicubic
gluon_seresnext50_32x4d,5.7867,94.2133,21.4267,78.5733,27.56,224,0.875,bicubic
efficientnet_b3_pruned,5.7333,94.2667,21.36,78.64,9.86,300,0.904,bicubic
regnety_160,5.64,94.36,19.3467,80.6533,83.59,224,0.875,bicubic
gluon_inception_v3,5.5067,94.4933,19.9467,80.0533,23.83,299,0.875,bicubic
mixnet_xl,5.48,94.52,21.0933,78.9067,11.9,224,0.875,bicubic
tresnet_m,5.44,94.56,19.96,80.04,31.39,224,0.875,bilinear
regnety_120,5.4133,94.5867,19.8533,80.1467,51.82,224,0.875,bicubic
gluon_resnet101_v1s,5.28,94.72,19.5467,80.4533,44.67,224,0.875,bicubic
hrnet_w64,5.1333,94.8667,19.4533,80.5467,128.06,224,0.875,bilinear
regnety_080,5.0,95.0,18.6,81.4,39.18,224,0.875,bicubic
efficientnet_b2_pruned,4.9467,95.0533,19.3467,80.6533,8.31,260,0.89,bicubic
dpn107,4.88,95.12,17.6133,82.3867,86.92,224,0.875,bicubic
gluon_resnet152_v1c,4.8667,95.1333,17.7733,82.2267,60.21,224,0.875,bicubic
@ -84,38 +96,45 @@ gluon_resnet152_v1b,4.5867,95.4133,16.5333,83.4667,60.19,224,0.875,bicubic
ecaresnet50d_pruned,4.5467,95.4533,18.5467,81.4533,19.94,224,0.875,bicubic
dpn92,4.4933,95.5067,18.2,81.8,37.67,224,0.875,bicubic
hrnet_w44,4.4933,95.5067,17.3467,82.6533,67.06,224,0.875,bilinear
regnetx_160,4.3733,95.6267,17.0933,82.9067,54.28,224,0.875,bicubic
resnext50d_32x4d,4.3467,95.6533,17.7733,82.2267,25.05,224,0.875,bicubic
xception,4.3467,95.6533,16.76,83.24,22.86,299,0.8975,bicubic
seresnext50_32x4d,4.28,95.72,17.8133,82.1867,27.56,224,0.875,bilinear
resnext50_32x4d,4.2533,95.7467,18.3867,81.6133,25.03,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,4.24,95.76,15.9467,84.0533,39.72,240,0.882,bicubic
regnety_064,4.2267,95.7733,17.1867,82.8133,30.58,224,0.875,bicubic
tf_efficientnet_el,4.2267,95.7733,18.1733,81.8267,10.59,300,0.904,bicubic
inception_v3,4.2,95.8,16.2933,83.7067,27.16,299,0.875,bicubic
inception_v3,4.1867,95.8133,16.2933,83.7067,23.83,299,0.875,bicubic
tf_efficientnet_b2_ap,4.1733,95.8267,18.32,81.68,9.11,260,0.89,bicubic
seresnet152,4.1467,95.8533,15.8933,84.1067,66.82,224,0.875,bilinear
resnext101_32x8d,4.1333,95.8667,16.9867,83.0133,88.79,224,0.875,bilinear
tf_efficientnet_b0_ns,4.1333,95.8667,17.68,82.32,5.29,224,0.875,bicubic
dpn98,4.08,95.92,15.9467,84.0533,61.57,224,0.875,bicubic
res2net101_26w_4s,4,96,14.8267,85.1733,45.21,224,0.875,bilinear
res2net101_26w_4s,4.0,96.0,14.8267,85.1733,45.21,224,0.875,bilinear
efficientnet_b1,3.9733,96.0267,15.76,84.24,7.79,240,0.875,bicubic
tf_efficientnet_lite3,3.9333,96.0667,16.52,83.48,8.2,300,0.904,bilinear
tf_efficientnet_b2,3.7733,96.2267,16.6133,83.3867,9.11,260,0.89,bicubic
regnety_040,3.7467,96.2533,16.4,83.6,20.65,224,0.875,bicubic
hrnet_w30,3.68,96.32,15.5733,84.4267,37.71,224,0.875,bilinear
hrnet_w32,3.6533,96.3467,14.7867,85.2133,41.23,224,0.875,bilinear
hrnet_w40,3.6533,96.3467,15.44,84.56,57.56,224,0.875,bilinear
regnetx_120,3.6267,96.3733,15.9733,84.0267,46.11,224,0.875,bicubic
seresnext26t_32x4d,3.6133,96.3867,15.8933,84.1067,16.82,224,0.875,bicubic
tf_efficientnet_b1_ap,3.5467,96.4533,15.0667,84.9333,7.79,240,0.882,bicubic
seresnext26tn_32x4d,3.5067,96.4933,15.76,84.24,16.81,224,0.875,bicubic
resnest26d,3.4933,96.5067,15.6667,84.3333,17.07,224,0.875,bilinear
dla169,3.4667,96.5333,15.3333,84.6667,53.99,224,0.875,bilinear
gluon_resnext50_32x4d,3.4533,96.5467,16.12,83.88,25.03,224,0.875,bicubic
mixnet_l,3.44,96.56,15.3067,84.6933,7.33,224,0.875,bicubic
seresnext26d_32x4d,3.4,96.6,16.16,83.84,16.81,224,0.875,bicubic
resnetblur50,3.3333,96.6667,15.5867,84.4133,25.56,224,0.875,bicubic
res2net50_26w_8s,3.3333,96.6667,14.04,85.96,48.4,224,0.875,bilinear
resnetblur50,3.3333,96.6667,15.5867,84.4133,25.56,224,0.875,bicubic
dla102x,3.3067,96.6933,15.12,84.88,26.77,224,0.875,bilinear
gluon_resnet101_v1c,3.3067,96.6933,14.12,85.88,44.57,224,0.875,bicubic
seresnet101,3.2533,96.7467,15.4533,84.5467,49.33,224,0.875,bilinear
densenetblur121d,3.0667,96.9333,14.28,85.72,8.0,224,0.875,bicubic
dla60_res2next,3.04,96.96,14.4533,85.5467,17.33,224,0.875,bilinear
regnety_032,3.0267,96.9733,14.24,85.76,19.44,224,0.875,bicubic
gluon_resnet50_v1d,3.0133,96.9867,14.6267,85.3733,25.58,224,0.875,bicubic
wide_resnet101_2,2.96,97.04,13.9467,86.0533,126.89,224,0.875,bilinear
efficientnet_b1_pruned,2.9333,97.0667,14.4133,85.5867,6.33,240,0.882,bicubic
@ -124,6 +143,7 @@ tf_efficientnet_b1,2.8667,97.1333,13.5067,86.4933,7.79,240,0.882,bicubic
res2net50_26w_6s,2.84,97.16,12.6,87.4,37.05,224,0.875,bilinear
efficientnet_b0,2.8133,97.1867,13.9067,86.0933,5.29,224,0.875,bicubic
tf_mixnet_l,2.8133,97.1867,13.04,86.96,7.33,224,0.875,bicubic
regnetx_064,2.7867,97.2133,13.88,86.12,26.21,224,0.875,bicubic
dpn68b,2.7067,97.2933,12.64,87.36,12.61,224,0.875,bicubic
selecsls60b,2.6933,97.3067,13.1733,86.8267,32.77,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,2.68,97.32,12.7733,87.2267,24.01,224,0.875,bicubic
@ -134,24 +154,30 @@ mixnet_m,2.5467,97.4533,12.4267,87.5733,5.01,224,0.875,bicubic
skresnet34,2.52,97.48,12.7733,87.2267,22.28,224,0.875,bicubic
efficientnet_es,2.3733,97.6267,13.88,86.12,5.44,224,0.875,bicubic
resnet152,2.36,97.64,12.2,87.8,60.19,224,0.875,bilinear
regnetx_080,2.3467,97.6533,12.6933,87.3067,39.57,224,0.875,bicubic
swsl_resnet18,2.3333,97.6667,11.2133,88.7867,11.69,224,0.875,bilinear
wide_resnet50_2,2.32,97.68,11.8,88.2,68.88,224,0.875,bilinear
seresnext26_32x4d,2.2933,97.7067,12.44,87.56,16.79,224,0.875,bicubic
hrnet_w18,2.2667,97.7333,11.8533,88.1467,21.3,224,0.875,bilinear
dla102,2.2533,97.7467,12.12,87.88,33.73,224,0.875,bilinear
resnet50,2.2267,97.7733,11.3333,88.6667,25.56,224,0.875,bicubic
regnety_016,2.1733,97.8267,11.44,88.56,11.2,224,0.875,bicubic
regnetx_040,2.16,97.84,11.8,88.2,22.12,224,0.875,bicubic
resnest14d,2.1467,97.8533,10.4,89.6,10.61,224,0.875,bilinear
selecsls60,2.08,97.92,12.84,87.16,30.67,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,2.08,97.92,10.9733,89.0267,13.31,224,0.875,bicubic
res2next50,2.0667,97.9333,11.4533,88.5467,24.67,224,0.875,bilinear
seresnet50,2.0667,97.9333,12.2667,87.7333,28.09,224,0.875,bilinear
densenet161,1.9733,98.0267,10.5867,89.4133,28.68,224,0.875,bicubic
tf_efficientnet_b0_ap,1.96,98.04,10.8,89.2,5.29,224,0.875,bicubic
regnetx_032,1.92,98.08,10.9467,89.0533,15.3,224,0.875,bicubic
tf_efficientnet_em,1.8133,98.1867,11.6267,88.3733,6.9,240,0.882,bicubic
tf_mixnet_m,1.8133,98.1867,10.5467,89.4533,5.01,224,0.875,bicubic
tf_efficientnet_lite2,1.8,98.2,11.1467,88.8533,6.09,260,0.89,bicubic
res2net50_14w_8s,1.7867,98.2133,10.3467,89.6533,25.06,224,0.875,bilinear
res2net50_26w_4s,1.7733,98.2267,10.44,89.56,25.7,224,0.875,bilinear
mobilenetv3_large_100,1.76,98.24,10.2933,89.7067,5.48,224,0.875,bicubic
densenet121,1.7333,98.2667,10.8533,89.1467,7.98,224,0.875,bicubic
tf_efficientnet_b0,1.6933,98.3067,9.7333,90.2667,5.29,224,0.875,bicubic
tv_resnext50_32x4d,1.68,98.32,10.6,89.4,25.03,224,0.875,bilinear
mobilenetv3_rw,1.6667,98.3333,10.7333,89.2667,5.48,224,0.875,bicubic
@ -163,6 +189,7 @@ gluon_resnet50_v1c,1.5467,98.4533,10.6133,89.3867,25.58,224,0.875,bicubic
semnasnet_100,1.5467,98.4533,9.32,90.68,3.89,224,0.875,bicubic
selecsls42b,1.4667,98.5333,10.44,89.56,32.46,224,0.875,bicubic
tf_efficientnet_lite1,1.4533,98.5467,9.7067,90.2933,5.42,240,0.882,bicubic
regnety_008,1.4267,98.5733,8.9467,91.0533,6.26,224,0.875,bicubic
ssl_resnet18,1.3867,98.6133,8.16,91.84,11.69,224,0.875,bilinear
dla60,1.3467,98.6533,9.4667,90.5333,22.33,224,0.875,bilinear
dpn68,1.3467,98.6533,8.8133,91.1867,12.61,224,0.875,bicubic
@ -178,19 +205,26 @@ seresnet34,1.12,98.88,7.4,92.6,21.96,224,0.875,bilinear
tf_efficientnet_es,1.12,98.88,8.6,91.4,5.44,224,0.875,bicubic
spnasnet_100,1.1067,98.8933,8.2533,91.7467,4.42,224,0.875,bilinear
tf_efficientnet_lite0,1.1067,98.8933,7.4933,92.5067,4.65,224,0.875,bicubic
regnetx_016,1.0933,98.9067,8.6267,91.3733,9.19,224,0.875,bicubic
dla34,1.08,98.92,7.6933,92.3067,15.78,224,0.875,bilinear
regnety_006,1.0533,98.9467,8.4,91.6,6.06,224,0.875,bicubic
regnety_004,1.0133,98.9867,7.3333,92.6667,4.34,224,0.875,bicubic
resnet34,0.9867,99.0133,7.5333,92.4667,21.8,224,0.875,bilinear
mobilenetv2_110d,0.9333,99.0667,8.1067,91.8933,4.52,224,0.875,bicubic
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
regnetx_008,0.8933,99.1067,6.9067,93.0933,7.26,224,0.875,bicubic
skresnet18,0.88,99.12,7.3867,92.6133,11.96,224,0.875,bicubic
mnasnet_100,0.8667,99.1333,7.8667,92.1333,4.38,224,0.875,bicubic
tf_mobilenetv3_large_075,0.8667,99.1333,6.72,93.28,3.99,224,0.875,bilinear
regnetx_006,0.76,99.24,6.4933,93.5067,6.2,224,0.875,bicubic
tf_mobilenetv3_small_100,0.7467,99.2533,4.6667,95.3333,2.54,224,0.875,bilinear
seresnet18,0.72,99.28,6.0267,93.9733,11.78,224,0.875,bicubic
densenet121,0.68,99.32,6.9067,93.0933,7.98,224,0.875,bicubic
regnetx_004,0.6933,99.3067,5.5067,94.4933,5.16,224,0.875,bicubic
tv_densenet121,0.68,99.32,6.9067,93.0933,7.98,224,0.875,bicubic
regnety_002,0.6667,99.3333,5.5333,94.4667,3.16,224,0.875,bicubic
tf_mobilenetv3_small_075,0.6267,99.3733,4.1733,95.8267,2.04,224,0.875,bilinear
resnet26,0.6,99.4,6.88,93.12,16,224,0.875,bicubic
resnet26,0.6,99.4,6.88,93.12,16.0,224,0.875,bicubic
tv_resnet34,0.6,99.4,5.52,94.48,21.8,224,0.875,bilinear
mobilenetv2_100,0.5333,99.4667,6.1867,93.8133,3.5,224,0.875,bicubic
dla46_c,0.52,99.48,4.1867,95.8133,1.31,224,0.875,bilinear
@ -201,4 +235,5 @@ 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_resnet50,0,100,2.8933,97.1067,25.56,224,0.875,bilinear
regnetx_002,0.2267,99.7733,3.9867,96.0133,2.68,224,0.875,bicubic
tv_resnet50,0.0,100.0,2.8933,97.1067,25.56,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
14 ig_resnext101_32x8d 28.7067 71.2933 52.32 47.68 88.79 224 0.875 bilinear
15 swsl_resnext101_32x16d 27.9467 72.0533 52.32 47.68 194.03 224 0.875 bilinear
16 tf_efficientnet_b7_ap 27.8133 72.1867 54.7733 45.2267 66.35 600 0.949 bicubic
17 resnest269e 27.6133 72.3867 53.1067 46.8933 110.93 416 0.875 bilinear
18 tresnet_xl_448 26.88 73.12 51.0933 48.9067 78.44 448 0.875 bilinear
19 resnest200e 26.4267 73.5733 51.9333 48.0667 70.2 320 0.875 bilinear
20 swsl_resnext101_32x4d 25.3467 74.6533 49.6267 50.3733 44.18 224 0.875 bilinear
21 tf_efficientnet_b7 25.2533 74.7467 51.6667 48.3333 66.35 600 0.949 bicubic
22 tresnet_l_448 24.5733 75.4267 48.6 51.4 55.99 448 0.875 bilinear
28 swsl_resnext50_32x4d 18.0667 81.9333 41.8667 58.1333 25.03 224 0.875 bilinear
29 ssl_resnext101_32x16d 17.2133 82.7867 39.9467 60.0533 194.03 224 0.875 bilinear
30 tf_efficientnet_b5 17.0667 82.9333 41.9067 58.0933 30.39 456 0.934 bicubic
31 resnest101e 16.4933 83.5067 40.7467 59.2533 48.28 256 0.875 bilinear
32 swsl_resnet50 15.9867 84.0133 38.8533 61.1467 25.56 224 0.875 bilinear
33 ssl_resnext101_32x8d 15.12 84.88 37.72 62.28 88.79 224 0.875 bilinear
34 tf_efficientnet_b4_ap 13.68 86.32 35.92 64.08 19.34 380 0.922 bicubic
39 ssl_resnext101_32x4d 12.12 87.88 31.8933 68.1067 44.18 224 0.875 bilinear
40 tf_efficientnet_b2_ns 11.7867 88.2133 32.96 67.04 9.11 260 0.89 bicubic
41 gluon_senet154 9.9067 90.0933 26.4533 73.5467 115.09 224 0.875 bicubic
42 resnest50d_4s2x40d 9.7867 90.2133 29.1467 70.8533 30.42 224 0.875 bicubic
43 ssl_resnext50_32x4d 9.6667 90.3333 28.4267 71.5733 25.03 224 0.875 bilinear
44 senet154 9.4533 90.5467 26.44 73.56 115.09 224 0.875 bilinear
45 tresnet_xl 9.3067 90.6933 28.4133 71.5867 78.44 224 0.875 bilinear
46 efficientnet_b3a 9.2667 90.7333 28.4267 71.5733 12.23 320 1 1.0 bicubic
47 efficientnet_b3 8.9467 91.0533 28.2133 71.7867 12.23 300 0.904 bicubic
48 inception_v4 8.92 91.08 24.7067 75.2933 42.68 299 0.875 bicubic
49 gluon_seresnext101_64x4d 8.8667 91.1333 27.32 72.68 88.23 224 0.875 bicubic
50 tf_efficientnet_b1_ns 8.6133 91.3867 27.28 72.72 7.79 240 0.882 bicubic
51 resnest50d_1s4x24d 8.52 91.48 26.7867 73.2133 25.68 224 0.875 bicubic
52 ecaresnet50d 8.5067 91.4933 26.2667 73.7333 25.58 224 0.875 bicubic
53 gluon_xception65 8.4667 91.5333 25.1333 74.8667 39.92 299 0.875 bicubic
54 gluon_resnet152_v1d 8.4133 91.5867 23.4533 76.5467 60.21 224 0.875 bicubic
60 tf_efficientnet_lite4 7.9333 92.0667 25.56 74.44 13.01 380 0.92 bilinear
61 tresnet_l 7.88 92.12 25.1867 74.8133 55.99 224 0.875 bilinear
62 gluon_resnet152_v1s 7.8667 92.1333 23.1733 76.8267 60.32 224 0.875 bicubic
63 resnest50d 7.7467 92.2533 25.2933 74.7067 27.48 224 0.875 bilinear
64 gluon_resnext101_64x4d 7.7067 92.2933 23.24 76.76 83.46 224 0.875 bicubic
65 skresnext50_32x4d 7.08 92.92 23.0267 76.9733 27.48 224 0.875 bicubic
66 ssl_resnet50 7 7.0 93 93.0 23.92 76.08 25.56 224 0.875 bilinear
67 regnety_320 6.92 93.08 23.04 76.96 145.05 224 0.875 bicubic
68 ecaresnet101d_pruned 6.8 93.2 24.2 75.8 24.88 224 0.875 bicubic
69 ecaresnetlight 6.76 93.24 22.56 77.44 30.16 224 0.875 bicubic
70 efficientnet_b2a 6.76 93.24 23.4933 76.5067 9.11 288 1 1.0 bicubic
71 seresnext101_32x4d 6.4133 93.5867 21.52 78.48 48.96 224 0.875 bilinear
72 efficientnet_b2 6.0933 93.9067 21.9333 78.0667 9.11 260 0.875 bicubic
73 gluon_resnext101_32x4d 6.04 93.96 21.1333 78.8667 44.18 224 0.875 bicubic
74 regnetx_320 5.9867 94.0133 19.88 80.12 107.81 224 0.875 bicubic
75 ese_vovnet39b 5.9733 94.0267 21.2933 78.7067 24.57 224 0.875 bicubic
76 gluon_resnet101_v1d 5.92 94.08 19.9467 80.0533 44.57 224 0.875 bicubic
77 gluon_seresnext50_32x4d 5.7867 94.2133 21.4267 78.5733 27.56 224 0.875 bicubic
78 efficientnet_b3_pruned 5.7333 94.2667 21.36 78.64 9.86 300 0.904 bicubic
79 regnety_160 5.64 94.36 19.3467 80.6533 83.59 224 0.875 bicubic
80 gluon_inception_v3 5.5067 94.4933 19.9467 80.0533 23.83 299 0.875 bicubic
81 mixnet_xl 5.48 94.52 21.0933 78.9067 11.9 224 0.875 bicubic
82 tresnet_m 5.44 94.56 19.96 80.04 31.39 224 0.875 bilinear
83 regnety_120 5.4133 94.5867 19.8533 80.1467 51.82 224 0.875 bicubic
84 gluon_resnet101_v1s 5.28 94.72 19.5467 80.4533 44.67 224 0.875 bicubic
85 hrnet_w64 5.1333 94.8667 19.4533 80.5467 128.06 224 0.875 bilinear
86 regnety_080 5.0 95.0 18.6 81.4 39.18 224 0.875 bicubic
87 efficientnet_b2_pruned 4.9467 95.0533 19.3467 80.6533 8.31 260 0.89 bicubic
88 dpn107 4.88 95.12 17.6133 82.3867 86.92 224 0.875 bicubic
89 gluon_resnet152_v1c 4.8667 95.1333 17.7733 82.2267 60.21 224 0.875 bicubic
96 ecaresnet50d_pruned 4.5467 95.4533 18.5467 81.4533 19.94 224 0.875 bicubic
97 dpn92 4.4933 95.5067 18.2 81.8 37.67 224 0.875 bicubic
98 hrnet_w44 4.4933 95.5067 17.3467 82.6533 67.06 224 0.875 bilinear
99 regnetx_160 4.3733 95.6267 17.0933 82.9067 54.28 224 0.875 bicubic
100 resnext50d_32x4d 4.3467 95.6533 17.7733 82.2267 25.05 224 0.875 bicubic
101 xception 4.3467 95.6533 16.76 83.24 22.86 299 0.8975 bicubic
102 seresnext50_32x4d 4.28 95.72 17.8133 82.1867 27.56 224 0.875 bilinear
103 resnext50_32x4d 4.2533 95.7467 18.3867 81.6133 25.03 224 0.875 bicubic
104 tf_efficientnet_cc_b1_8e 4.24 95.76 15.9467 84.0533 39.72 240 0.882 bicubic
105 regnety_064 4.2267 95.7733 17.1867 82.8133 30.58 224 0.875 bicubic
106 tf_efficientnet_el 4.2267 95.7733 18.1733 81.8267 10.59 300 0.904 bicubic
107 inception_v3 4.2 4.1867 95.8 95.8133 16.2933 83.7067 27.16 23.83 299 0.875 bicubic
108 tf_efficientnet_b2_ap 4.1733 95.8267 18.32 81.68 9.11 260 0.89 bicubic
109 seresnet152 4.1467 95.8533 15.8933 84.1067 66.82 224 0.875 bilinear
110 resnext101_32x8d 4.1333 95.8667 16.9867 83.0133 88.79 224 0.875 bilinear
111 tf_efficientnet_b0_ns 4.1333 95.8667 17.68 82.32 5.29 224 0.875 bicubic
112 dpn98 4.08 95.92 15.9467 84.0533 61.57 224 0.875 bicubic
113 res2net101_26w_4s 4 4.0 96 96.0 14.8267 85.1733 45.21 224 0.875 bilinear
114 efficientnet_b1 3.9733 96.0267 15.76 84.24 7.79 240 0.875 bicubic
115 tf_efficientnet_lite3 3.9333 96.0667 16.52 83.48 8.2 300 0.904 bilinear
116 tf_efficientnet_b2 3.7733 96.2267 16.6133 83.3867 9.11 260 0.89 bicubic
117 regnety_040 3.7467 96.2533 16.4 83.6 20.65 224 0.875 bicubic
118 hrnet_w30 3.68 96.32 15.5733 84.4267 37.71 224 0.875 bilinear
119 hrnet_w32 3.6533 96.3467 14.7867 85.2133 41.23 224 0.875 bilinear
120 hrnet_w40 3.6533 96.3467 15.44 84.56 57.56 224 0.875 bilinear
121 regnetx_120 3.6267 96.3733 15.9733 84.0267 46.11 224 0.875 bicubic
122 seresnext26t_32x4d 3.6133 96.3867 15.8933 84.1067 16.82 224 0.875 bicubic
123 tf_efficientnet_b1_ap 3.5467 96.4533 15.0667 84.9333 7.79 240 0.882 bicubic
124 seresnext26tn_32x4d 3.5067 96.4933 15.76 84.24 16.81 224 0.875 bicubic
125 resnest26d 3.4933 96.5067 15.6667 84.3333 17.07 224 0.875 bilinear
126 dla169 3.4667 96.5333 15.3333 84.6667 53.99 224 0.875 bilinear
127 gluon_resnext50_32x4d 3.4533 96.5467 16.12 83.88 25.03 224 0.875 bicubic
128 mixnet_l 3.44 96.56 15.3067 84.6933 7.33 224 0.875 bicubic
129 seresnext26d_32x4d 3.4 96.6 16.16 83.84 16.81 224 0.875 bicubic
resnetblur50 3.3333 96.6667 15.5867 84.4133 25.56 224 0.875 bicubic
130 res2net50_26w_8s 3.3333 96.6667 14.04 85.96 48.4 224 0.875 bilinear
131 resnetblur50 3.3333 96.6667 15.5867 84.4133 25.56 224 0.875 bicubic
132 dla102x 3.3067 96.6933 15.12 84.88 26.77 224 0.875 bilinear
133 gluon_resnet101_v1c 3.3067 96.6933 14.12 85.88 44.57 224 0.875 bicubic
134 seresnet101 3.2533 96.7467 15.4533 84.5467 49.33 224 0.875 bilinear
135 densenetblur121d 3.0667 96.9333 14.28 85.72 8.0 224 0.875 bicubic
136 dla60_res2next 3.04 96.96 14.4533 85.5467 17.33 224 0.875 bilinear
137 regnety_032 3.0267 96.9733 14.24 85.76 19.44 224 0.875 bicubic
138 gluon_resnet50_v1d 3.0133 96.9867 14.6267 85.3733 25.58 224 0.875 bicubic
139 wide_resnet101_2 2.96 97.04 13.9467 86.0533 126.89 224 0.875 bilinear
140 efficientnet_b1_pruned 2.9333 97.0667 14.4133 85.5867 6.33 240 0.882 bicubic
143 res2net50_26w_6s 2.84 97.16 12.6 87.4 37.05 224 0.875 bilinear
144 efficientnet_b0 2.8133 97.1867 13.9067 86.0933 5.29 224 0.875 bicubic
145 tf_mixnet_l 2.8133 97.1867 13.04 86.96 7.33 224 0.875 bicubic
146 regnetx_064 2.7867 97.2133 13.88 86.12 26.21 224 0.875 bicubic
147 dpn68b 2.7067 97.2933 12.64 87.36 12.61 224 0.875 bicubic
148 selecsls60b 2.6933 97.3067 13.1733 86.8267 32.77 224 0.875 bicubic
149 tf_efficientnet_cc_b0_8e 2.68 97.32 12.7733 87.2267 24.01 224 0.875 bicubic
154 skresnet34 2.52 97.48 12.7733 87.2267 22.28 224 0.875 bicubic
155 efficientnet_es 2.3733 97.6267 13.88 86.12 5.44 224 0.875 bicubic
156 resnet152 2.36 97.64 12.2 87.8 60.19 224 0.875 bilinear
157 regnetx_080 2.3467 97.6533 12.6933 87.3067 39.57 224 0.875 bicubic
158 swsl_resnet18 2.3333 97.6667 11.2133 88.7867 11.69 224 0.875 bilinear
159 wide_resnet50_2 2.32 97.68 11.8 88.2 68.88 224 0.875 bilinear
160 seresnext26_32x4d 2.2933 97.7067 12.44 87.56 16.79 224 0.875 bicubic
161 hrnet_w18 2.2667 97.7333 11.8533 88.1467 21.3 224 0.875 bilinear
162 dla102 2.2533 97.7467 12.12 87.88 33.73 224 0.875 bilinear
163 resnet50 2.2267 97.7733 11.3333 88.6667 25.56 224 0.875 bicubic
164 regnety_016 2.1733 97.8267 11.44 88.56 11.2 224 0.875 bicubic
165 regnetx_040 2.16 97.84 11.8 88.2 22.12 224 0.875 bicubic
166 resnest14d 2.1467 97.8533 10.4 89.6 10.61 224 0.875 bilinear
167 selecsls60 2.08 97.92 12.84 87.16 30.67 224 0.875 bicubic
168 tf_efficientnet_cc_b0_4e 2.08 97.92 10.9733 89.0267 13.31 224 0.875 bicubic
169 res2next50 2.0667 97.9333 11.4533 88.5467 24.67 224 0.875 bilinear
170 seresnet50 2.0667 97.9333 12.2667 87.7333 28.09 224 0.875 bilinear
171 densenet161 1.9733 98.0267 10.5867 89.4133 28.68 224 0.875 bicubic
172 tf_efficientnet_b0_ap 1.96 98.04 10.8 89.2 5.29 224 0.875 bicubic
173 regnetx_032 1.92 98.08 10.9467 89.0533 15.3 224 0.875 bicubic
174 tf_efficientnet_em 1.8133 98.1867 11.6267 88.3733 6.9 240 0.882 bicubic
175 tf_mixnet_m 1.8133 98.1867 10.5467 89.4533 5.01 224 0.875 bicubic
176 tf_efficientnet_lite2 1.8 98.2 11.1467 88.8533 6.09 260 0.89 bicubic
177 res2net50_14w_8s 1.7867 98.2133 10.3467 89.6533 25.06 224 0.875 bilinear
178 res2net50_26w_4s 1.7733 98.2267 10.44 89.56 25.7 224 0.875 bilinear
179 mobilenetv3_large_100 1.76 98.24 10.2933 89.7067 5.48 224 0.875 bicubic
180 densenet121 1.7333 98.2667 10.8533 89.1467 7.98 224 0.875 bicubic
181 tf_efficientnet_b0 1.6933 98.3067 9.7333 90.2667 5.29 224 0.875 bicubic
182 tv_resnext50_32x4d 1.68 98.32 10.6 89.4 25.03 224 0.875 bilinear
183 mobilenetv3_rw 1.6667 98.3333 10.7333 89.2667 5.48 224 0.875 bicubic
189 semnasnet_100 1.5467 98.4533 9.32 90.68 3.89 224 0.875 bicubic
190 selecsls42b 1.4667 98.5333 10.44 89.56 32.46 224 0.875 bicubic
191 tf_efficientnet_lite1 1.4533 98.5467 9.7067 90.2933 5.42 240 0.882 bicubic
192 regnety_008 1.4267 98.5733 8.9467 91.0533 6.26 224 0.875 bicubic
193 ssl_resnet18 1.3867 98.6133 8.16 91.84 11.69 224 0.875 bilinear
194 dla60 1.3467 98.6533 9.4667 90.5333 22.33 224 0.875 bilinear
195 dpn68 1.3467 98.6533 8.8133 91.1867 12.61 224 0.875 bicubic
205 tf_efficientnet_es 1.12 98.88 8.6 91.4 5.44 224 0.875 bicubic
206 spnasnet_100 1.1067 98.8933 8.2533 91.7467 4.42 224 0.875 bilinear
207 tf_efficientnet_lite0 1.1067 98.8933 7.4933 92.5067 4.65 224 0.875 bicubic
208 regnetx_016 1.0933 98.9067 8.6267 91.3733 9.19 224 0.875 bicubic
209 dla34 1.08 98.92 7.6933 92.3067 15.78 224 0.875 bilinear
210 regnety_006 1.0533 98.9467 8.4 91.6 6.06 224 0.875 bicubic
211 regnety_004 1.0133 98.9867 7.3333 92.6667 4.34 224 0.875 bicubic
212 resnet34 0.9867 99.0133 7.5333 92.4667 21.8 224 0.875 bilinear
213 mobilenetv2_110d 0.9333 99.0667 8.1067 91.8933 4.52 224 0.875 bicubic
214 gluon_resnet34_v1b 0.8933 99.1067 6.6 93.4 21.8 224 0.875 bicubic
215 hrnet_w18_small_v2 0.8933 99.1067 7.3867 92.6133 15.6 224 0.875 bilinear
216 regnetx_008 0.8933 99.1067 6.9067 93.0933 7.26 224 0.875 bicubic
217 skresnet18 0.88 99.12 7.3867 92.6133 11.96 224 0.875 bicubic
218 mnasnet_100 0.8667 99.1333 7.8667 92.1333 4.38 224 0.875 bicubic
219 tf_mobilenetv3_large_075 0.8667 99.1333 6.72 93.28 3.99 224 0.875 bilinear
220 regnetx_006 0.76 99.24 6.4933 93.5067 6.2 224 0.875 bicubic
221 tf_mobilenetv3_small_100 0.7467 99.2533 4.6667 95.3333 2.54 224 0.875 bilinear
222 seresnet18 0.72 99.28 6.0267 93.9733 11.78 224 0.875 bicubic
223 densenet121 regnetx_004 0.68 0.6933 99.32 99.3067 6.9067 5.5067 93.0933 94.4933 7.98 5.16 224 0.875 bicubic
224 tv_densenet121 0.68 99.32 6.9067 93.0933 7.98 224 0.875 bicubic
225 regnety_002 0.6667 99.3333 5.5333 94.4667 3.16 224 0.875 bicubic
226 tf_mobilenetv3_small_075 0.6267 99.3733 4.1733 95.8267 2.04 224 0.875 bilinear
227 resnet26 0.6 99.4 6.88 93.12 16 16.0 224 0.875 bicubic
228 tv_resnet34 0.6 99.4 5.52 94.48 21.8 224 0.875 bilinear
229 mobilenetv2_100 0.5333 99.4667 6.1867 93.8133 3.5 224 0.875 bicubic
230 dla46_c 0.52 99.48 4.1867 95.8133 1.31 224 0.875 bilinear
235 gluon_resnet18_v1b 0.3867 99.6133 4.7867 95.2133 11.69 224 0.875 bicubic
236 tf_mobilenetv3_small_minimal_100 0.36 99.64 2.8667 97.1333 2.04 224 0.875 bilinear
237 resnet18 0.2933 99.7067 4.04 95.96 11.69 224 0.875 bilinear
238 tv_resnet50 regnetx_002 0 0.2267 100 99.7733 2.8933 3.9867 97.1067 96.0133 25.56 2.68 224 0.875 bilinear bicubic
239 tv_resnet50 0.0 100.0 2.8933 97.1067 25.56 224 0.875 bilinear

57
results/results-imagenet.csv
Unescape View File

@ -14,15 +14,18 @@ tf_efficientnet_b7,84.932,15.068,97.208,2.792,66.35,600,0.949,bicubic
tf_efficientnet_b6_ap,84.786,15.214,97.138,2.862,43.04,528,0.942,bicubic
swsl_resnext101_32x8d,84.294,15.706,97.174,2.826,88.79,224,0.875,bilinear
tf_efficientnet_b5_ap,84.254,15.746,96.976,3.024,30.39,456,0.934,bicubic
resnest269e,84.186,15.814,96.922,3.078,110.93,416,0.875,bilinear
ig_resnext101_32x16d,84.176,15.824,97.196,2.804,194.03,224,0.875,bilinear
tf_efficientnet_b6,84.112,15.888,96.884,3.116,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,84.054,15.946,96.912,3.088,12.23,300,0.904,bicubic
resnest200e,83.834,16.166,96.838,3.162,70.2,320,0.875,bilinear
tf_efficientnet_b5,83.816,16.184,96.75,3.25,30.39,456,0.934,bicubic
swsl_resnext101_32x16d,83.338,16.662,96.852,3.148,194.03,224,0.875,bilinear
tf_efficientnet_b4_ap,83.248,16.752,96.388,3.612,19.34,380,0.922,bicubic
swsl_resnext101_32x4d,83.234,16.766,96.756,3.244,44.18,224,0.875,bilinear
tresnet_xl_448,83.048,16.952,96.174,3.826,78.44,448,0.875,bilinear
tf_efficientnet_b4,83.016,16.984,96.298,3.702,19.34,380,0.922,bicubic
resnest101e,82.89,17.11,96.324,3.676,48.28,256,0.875,bilinear
pnasnet5large,82.74,17.26,96.04,3.96,86.06,331,0.875,bicubic
ig_resnext101_32x8d,82.688,17.312,96.632,3.368,88.79,224,0.875,bilinear
nasnetalarge,82.558,17.442,96.036,3.964,88.75,331,0.875,bicubic
@ -31,7 +34,7 @@ tresnet_l_448,82.268,17.732,95.978,4.022,55.99,448,0.875,bilinear
swsl_resnext50_32x4d,82.18,17.82,96.228,3.772,25.03,224,0.875,bilinear
ecaresnet101d,82.166,17.834,96.052,3.948,44.57,224,0.875,bicubic
tresnet_xl,82.07,17.93,95.928,4.072,78.44,224,0.875,bilinear
efficientnet_b3a,81.874,18.126,95.84,4.16,12.23,320,1,bicubic
efficientnet_b3a,81.874,18.126,95.84,4.16,12.23,320,1.0,bicubic
ssl_resnext101_32x16d,81.836,18.164,96.094,3.906,194.03,224,0.875,bilinear
tf_efficientnet_b3_ap,81.828,18.172,95.624,4.376,12.23,300,0.904,bicubic
tresnet_m_448,81.712,18.288,95.57,4.43,31.39,448,0.875,bilinear
@ -44,14 +47,18 @@ tf_efficientnet_b1_ns,81.386,18.614,95.738,4.262,7.79,240,0.882,bicubic
senet154,81.304,18.696,95.498,4.502,115.09,224,0.875,bilinear
gluon_senet154,81.224,18.776,95.356,4.644,115.09,224,0.875,bicubic
swsl_resnet50,81.18,18.82,95.986,4.014,25.56,224,0.875,bilinear
resnest50d_4s2x40d,81.114,18.886,95.568,4.432,30.42,224,0.875,bicubic
gluon_resnet152_v1s,81.012,18.988,95.416,4.584,60.32,224,0.875,bicubic
resnest50d_1s4x24d,80.99,19.01,95.322,4.678,25.68,224,0.875,bicubic
resnest50d,80.958,19.042,95.382,4.618,27.48,224,0.875,bilinear
ssl_resnext101_32x4d,80.928,19.072,95.728,4.272,44.18,224,0.875,bilinear
gluon_seresnext101_32x4d,80.902,19.098,95.294,4.706,48.96,224,0.875,bicubic
gluon_seresnext101_64x4d,80.89,19.11,95.304,4.696,88.23,224,0.875,bicubic
efficientnet_b3_pruned,80.856,19.144,95.24,4.76,9.86,300,0.904,bicubic
regnety_320,80.814,19.186,95.24,4.76,145.05,224,0.875,bicubic
ecaresnet101d_pruned,80.808,19.192,95.628,4.372,24.88,224,0.875,bicubic
tresnet_m,80.796,19.204,94.856,5.144,31.39,224,0.875,bilinear
efficientnet_b2a,80.608,19.392,95.31,4.69,9.11,288,1,bicubic
efficientnet_b2a,80.608,19.392,95.31,4.69,9.11,288,1.0,bicubic
ecaresnet50d,80.604,19.396,95.322,4.678,25.58,224,0.875,bicubic
gluon_resnext101_64x4d,80.602,19.398,94.994,5.006,83.46,224,0.875,bicubic
mixnet_xl,80.478,19.522,94.932,5.068,11.9,224,0.875,bicubic
@ -61,10 +68,13 @@ ecaresnetlight,80.454,19.546,95.256,4.744,30.16,224,0.875,bicubic
tf_efficientnet_el,80.448,19.552,95.16,4.84,10.59,300,0.904,bicubic
gluon_resnet101_v1d,80.424,19.576,95.02,4.98,44.57,224,0.875,bicubic
efficientnet_b2,80.402,19.598,95.076,4.924,9.11,260,0.875,bicubic
regnety_120,80.382,19.618,95.128,4.872,51.82,224,0.875,bicubic
gluon_resnext101_32x4d,80.334,19.666,94.926,5.074,44.18,224,0.875,bicubic
ssl_resnext50_32x4d,80.328,19.672,95.404,4.596,25.03,224,0.875,bilinear
tf_efficientnet_b2_ap,80.306,19.694,95.028,4.972,9.11,260,0.89,bicubic
gluon_resnet101_v1s,80.3,19.7,95.15,4.85,44.67,224,0.875,bicubic
regnety_160,80.3,19.7,94.962,5.038,83.59,224,0.875,bicubic
regnetx_320,80.246,19.754,95.022,4.978,107.81,224,0.875,bicubic
seresnext101_32x4d,80.236,19.764,95.028,4.972,48.96,224,0.875,bilinear
dpn107,80.164,19.836,94.912,5.088,86.92,224,0.875,bicubic
inception_v4,80.156,19.844,94.974,5.026,42.68,299,0.875,bicubic
@ -75,18 +85,23 @@ ens_adv_inception_resnet_v2,79.976,20.024,94.946,5.054,55.84,299,0.8975,bicubic
efficientnet_b2_pruned,79.918,20.082,94.848,5.152,8.31,260,0.89,bicubic
gluon_resnet152_v1c,79.916,20.084,94.842,5.158,60.21,224,0.875,bicubic
gluon_seresnext50_32x4d,79.912,20.088,94.818,5.182,27.56,224,0.875,bicubic
regnety_080,79.868,20.132,94.832,5.168,39.18,224,0.875,bicubic
regnetx_160,79.866,20.134,94.828,5.172,54.28,224,0.875,bicubic
dpn131,79.828,20.172,94.704,5.296,79.25,224,0.875,bicubic
tf_efficientnet_lite3,79.812,20.188,94.914,5.086,8.2,300,0.904,bilinear
resnext50_32x4d,79.762,20.238,94.6,5.4,25.03,224,0.875,bicubic
ecaresnet50d_pruned,79.718,20.282,94.89,5.11,19.94,224,0.875,bicubic
regnety_064,79.712,20.288,94.774,5.226,30.58,224,0.875,bicubic
gluon_resnet152_v1b,79.692,20.308,94.738,5.262,60.19,224,0.875,bicubic
resnext50d_32x4d,79.674,20.326,94.868,5.132,25.05,224,0.875,bicubic
dpn98,79.636,20.364,94.594,5.406,61.57,224,0.875,bicubic
gluon_xception65,79.604,20.396,94.748,5.252,39.92,299,0.875,bicubic
regnetx_120,79.59,20.41,94.74,5.26,46.11,224,0.875,bicubic
gluon_resnet101_v1c,79.544,20.456,94.586,5.414,44.57,224,0.875,bicubic
hrnet_w64,79.472,20.528,94.65,5.35,128.06,224,0.875,bilinear
dla102x2,79.452,20.548,94.644,5.356,41.75,224,0.875,bilinear
gluon_resnext50_32x4d,79.356,20.644,94.424,5.576,25.03,224,0.875,bicubic
ese_vovnet39b,79.32,20.68,94.71,5.29,24.57,224,0.875,bicubic
resnext101_32x8d,79.312,20.688,94.526,5.474,88.79,224,0.875,bilinear
hrnet_w48,79.31,20.69,94.518,5.482,77.47,224,0.875,bilinear
gluon_resnet101_v1b,79.304,20.696,94.524,5.476,44.55,224,0.875,bicubic
@ -94,15 +109,19 @@ tf_efficientnet_cc_b1_8e,79.298,20.702,94.364,5.636,39.72,240,0.882,bicubic
resnetblur50,79.29,20.71,94.632,5.368,25.56,224,0.875,bicubic
tf_efficientnet_b1_ap,79.278,20.722,94.308,5.692,7.79,240,0.882,bicubic
ssl_resnet50,79.228,20.772,94.832,5.168,25.56,224,0.875,bilinear
regnety_040,79.222,20.778,94.656,5.344,20.65,224,0.875,bicubic
res2net50_26w_8s,79.21,20.79,94.362,5.638,48.4,224,0.875,bilinear
regnetx_080,79.198,20.802,94.558,5.442,39.57,224,0.875,bicubic
res2net101_26w_4s,79.196,20.804,94.44,5.56,45.21,224,0.875,bilinear
seresnext50_32x4d,79.076,20.924,94.434,5.566,27.56,224,0.875,bilinear
gluon_resnet50_v1d,79.074,20.926,94.476,5.524,25.58,224,0.875,bicubic
regnetx_064,79.066,20.934,94.456,5.544,26.21,224,0.875,bicubic
xception,79.048,20.952,94.392,5.608,22.86,299,0.8975,bicubic
resnet50,79.032,20.968,94.384,5.616,25.56,224,0.875,bicubic
mixnet_l,78.976,21.024,94.184,5.816,7.33,224,0.875,bicubic
hrnet_w40,78.934,21.066,94.466,5.534,57.56,224,0.875,bilinear
hrnet_w44,78.894,21.106,94.37,5.63,67.06,224,0.875,bilinear
regnety_032,78.87,21.13,94.402,5.598,19.44,224,0.875,bicubic
wide_resnet101_2,78.846,21.154,94.284,5.716,126.89,224,0.875,bilinear
tf_efficientnet_b1,78.832,21.168,94.196,5.804,7.79,240,0.882,bicubic
gluon_inception_v3,78.804,21.196,94.38,5.62,23.83,299,0.875,bicubic
@ -115,6 +134,8 @@ seresnet152,78.658,21.342,94.374,5.626,66.82,224,0.875,bilinear
tf_efficientnet_b0_ns,78.652,21.348,94.368,5.632,5.29,224,0.875,bicubic
res2net50_26w_6s,78.574,21.426,94.126,5.874,37.05,224,0.875,bilinear
dla102x,78.508,21.492,94.234,5.766,26.77,224,0.875,bilinear
regnetx_040,78.486,21.514,94.242,5.758,22.12,224,0.875,bicubic
resnest26d,78.482,21.518,94.29,5.71,17.07,224,0.875,bilinear
dla60_res2net,78.472,21.528,94.204,5.796,21.15,224,0.875,bilinear
wide_resnet50_2,78.468,21.532,94.086,5.914,68.88,224,0.875,bilinear
dla60_res2next,78.448,21.552,94.144,5.856,17.33,224,0.875,bilinear
@ -122,10 +143,11 @@ hrnet_w32,78.448,21.552,94.188,5.812,41.23,224,0.875,bilinear
selecsls60b,78.418,21.582,94.166,5.834,32.77,224,0.875,bicubic
seresnet101,78.396,21.604,94.258,5.742,49.33,224,0.875,bilinear
resnet152,78.312,21.688,94.046,5.954,60.19,224,0.875,bilinear
efficientnet_b1_pruned,78.242,21.758,93.832,6.168,6.33,240,0.882,bicubic
dla60x,78.242,21.758,94.022,5.978,17.65,224,0.875,bilinear
efficientnet_b1_pruned,78.242,21.758,93.832,6.168,6.33,240,0.882,bicubic
res2next50,78.242,21.758,93.892,6.108,24.67,224,0.875,bilinear
hrnet_w30,78.196,21.804,94.218,5.782,37.71,224,0.875,bilinear
hrnet_w30,78.196,21.804,94.22,5.78,37.71,224,0.875,bilinear
regnetx_032,78.166,21.834,94.08,5.92,15.3,224,0.875,bicubic
res2net50_14w_8s,78.152,21.848,93.842,6.158,25.06,224,0.875,bilinear
efficientnet_es,78.054,21.946,93.93,6.07,5.44,224,0.875,bicubic
dla102,78.026,21.974,93.95,6.05,33.73,224,0.875,bilinear
@ -136,16 +158,17 @@ selecsls60,77.982,22.018,93.832,6.168,30.67,224,0.875,bicubic
res2net50_26w_4s,77.946,22.054,93.852,6.148,25.7,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,77.908,22.092,93.656,6.344,24.01,224,0.875,bicubic
tf_inception_v3,77.856,22.144,93.644,6.356,23.83,299,0.875,bicubic
regnety_016,77.852,22.148,93.716,6.284,11.2,224,0.875,bicubic
efficientnet_b0,77.692,22.308,93.532,6.468,5.29,224,0.875,bicubic
seresnet50,77.636,22.364,93.752,6.248,28.09,224,0.875,bilinear
tv_resnext50_32x4d,77.618,22.382,93.698,6.302,25.03,224,0.875,bilinear
seresnext26d_32x4d,77.604,22.396,93.612,6.388,16.81,224,0.875,bicubic
adv_inception_v3,77.58,22.42,93.724,6.276,23.83,299,0.875,bicubic
gluon_resnet50_v1b,77.578,22.422,93.718,6.282,25.56,224,0.875,bicubic
adv_inception_v3,77.576,22.424,93.724,6.276,23.83,299,0.875,bicubic
dpn68b,77.514,22.486,93.822,6.178,12.61,224,0.875,bicubic
res2net50_48w_2s,77.514,22.486,93.548,6.452,25.29,224,0.875,bilinear
tf_efficientnet_lite2,77.46,22.54,93.746,6.254,6.09,260,0.89,bicubic
inception_v3,77.434,22.566,93.478,6.522,27.16,299,0.875,bicubic
inception_v3,77.436,22.564,93.476,6.524,23.83,299,0.875,bicubic
resnet101,77.374,22.626,93.546,6.454,44.55,224,0.875,bilinear
densenet161,77.348,22.652,93.648,6.352,28.68,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,77.304,22.696,93.332,6.668,13.31,224,0.875,bicubic
@ -156,46 +179,58 @@ mixnet_m,77.256,22.744,93.418,6.582,5.01,224,0.875,bicubic
selecsls42b,77.176,22.824,93.392,6.608,32.46,224,0.875,bicubic
seresnext26_32x4d,77.1,22.9,93.31,6.69,16.79,224,0.875,bicubic
tf_efficientnet_b0_ap,77.084,22.916,93.254,6.746,5.29,224,0.875,bicubic
dla60,77.022,22.978,93.308,6.692,22.33,224,0.875,bilinear
dla60,77.024,22.976,93.308,6.692,22.33,224,0.875,bilinear
tf_mixnet_m,76.95,23.05,93.156,6.844,5.01,224,0.875,bicubic
regnetx_016,76.93,23.07,93.418,6.582,9.19,224,0.875,bicubic
skresnet34,76.91,23.09,93.316,6.684,22.28,224,0.875,bicubic
tf_efficientnet_b0,76.84,23.16,93.226,6.774,5.29,224,0.875,bicubic
hrnet_w18,76.756,23.244,93.442,6.558,21.3,224,0.875,bilinear
resnet26d,76.68,23.32,93.166,6.834,16.01,224,0.875,bicubic
tf_efficientnet_lite1,76.638,23.362,93.232,6.768,5.42,240,0.882,bicubic
densenetblur121d,76.576,23.424,93.19,6.81,8.0,224,0.875,bicubic
mobilenetv2_140,76.524,23.476,92.99,7.01,6.11,224,0.875,bicubic
regnety_008,76.314,23.686,93.062,6.938,6.26,224,0.875,bicubic
dpn68,76.306,23.694,92.97,7.03,12.61,224,0.875,bicubic
tv_resnet50,76.13,23.87,92.862,7.138,25.56,224,0.875,bilinear
mixnet_s,75.988,24.012,92.794,7.206,4.13,224,0.875,bicubic
densenet169,75.912,24.088,93.024,6.976,14.15,224,0.875,bicubic
mobilenetv3_large_100,75.768,24.232,92.54,7.46,5.48,224,0.875,bicubic
tf_mixnet_s,75.648,24.352,92.636,7.364,4.13,224,0.875,bicubic
mobilenetv3_rw,75.628,24.372,92.708,7.292,5.48,224,0.875,bicubic
mobilenetv3_rw,75.628,24.372,92.71,7.29,5.48,224,0.875,bicubic
densenet121,75.574,24.426,92.656,7.344,7.98,224,0.875,bicubic
tf_mobilenetv3_large_100,75.516,24.484,92.6,7.4,5.48,224,0.875,bilinear
resnest14d,75.504,24.496,92.514,7.486,10.61,224,0.875,bilinear
semnasnet_100,75.456,24.544,92.592,7.408,3.89,224,0.875,bicubic
resnet26,75.292,24.708,92.57,7.43,16,224,0.875,bicubic
resnet26,75.292,24.708,92.57,7.43,16.0,224,0.875,bicubic
regnety_006,75.26,24.74,92.528,7.472,6.06,224,0.875,bicubic
hrnet_w18_small_v2,75.126,24.874,92.416,7.584,15.6,224,0.875,bilinear
fbnetc_100,75.12,24.88,92.386,7.614,5.57,224,0.875,bilinear
resnet34,75.112,24.888,92.288,7.712,21.8,224,0.875,bilinear
mobilenetv2_110d,75.052,24.948,92.18,7.82,4.52,224,0.875,bicubic
regnetx_008,75.022,24.978,92.344,7.656,7.26,224,0.875,bicubic
tf_efficientnet_lite0,74.842,25.158,92.17,7.83,4.65,224,0.875,bicubic
seresnet34,74.808,25.192,92.126,7.874,21.96,224,0.875,bilinear
densenet121,74.752,25.248,92.152,7.848,7.98,224,0.875,bicubic
tv_densenet121,74.752,25.248,92.152,7.848,7.98,224,0.875,bicubic
mnasnet_100,74.656,25.344,92.126,7.874,4.38,224,0.875,bicubic
dla34,74.636,25.364,92.064,7.936,15.78,224,0.875,bilinear
gluon_resnet34_v1b,74.58,25.42,91.988,8.012,21.8,224,0.875,bicubic
spnasnet_100,74.08,25.92,91.832,8.168,4.42,224,0.875,bilinear
regnety_004,74.026,25.974,91.748,8.252,4.34,224,0.875,bicubic
regnetx_006,73.862,26.138,91.68,8.32,6.2,224,0.875,bicubic
tf_mobilenetv3_large_075,73.442,26.558,91.352,8.648,3.99,224,0.875,bilinear
tv_resnet34,73.314,26.686,91.42,8.58,21.8,224,0.875,bilinear
swsl_resnet18,73.286,26.714,91.732,8.268,11.69,224,0.875,bilinear
skresnet18,73.044,26.956,91.178,8.822,11.96,224,0.875,bicubic
mobilenetv2_100,72.978,27.022,91.016,8.984,3.5,224,0.875,bicubic
ssl_resnet18,72.6,27.4,91.418,8.582,11.69,224,0.875,bilinear
ssl_resnet18,72.6,27.4,91.416,8.584,11.69,224,0.875,bilinear
regnetx_004,72.406,27.594,90.83,9.17,5.16,224,0.875,bicubic
hrnet_w18_small,72.342,27.658,90.672,9.328,13.19,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,72.244,27.756,90.636,9.364,3.92,224,0.875,bilinear
seresnet18,71.758,28.242,90.334,9.666,11.78,224,0.875,bicubic
gluon_resnet18_v1b,70.83,29.17,89.756,10.244,11.69,224,0.875,bicubic
regnety_002,70.282,29.718,89.54,10.46,3.16,224,0.875,bicubic
resnet18,69.758,30.242,89.078,10.922,11.69,224,0.875,bilinear
regnetx_002,68.754,31.246,88.548,11.452,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,67.918,32.082,87.662,12.338,2.54,224,0.875,bilinear
dla60x_c,67.908,32.092,88.434,11.566,1.34,224,0.875,bilinear
dla46x_c,65.98,34.02,86.98,13.02,1.08,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
14 tf_efficientnet_b6_ap 84.786 15.214 97.138 2.862 43.04 528 0.942 bicubic
15 swsl_resnext101_32x8d 84.294 15.706 97.174 2.826 88.79 224 0.875 bilinear
16 tf_efficientnet_b5_ap 84.254 15.746 96.976 3.024 30.39 456 0.934 bicubic
17 resnest269e 84.186 15.814 96.922 3.078 110.93 416 0.875 bilinear
18 ig_resnext101_32x16d 84.176 15.824 97.196 2.804 194.03 224 0.875 bilinear
19 tf_efficientnet_b6 84.112 15.888 96.884 3.116 43.04 528 0.942 bicubic
20 tf_efficientnet_b3_ns 84.054 15.946 96.912 3.088 12.23 300 0.904 bicubic
21 resnest200e 83.834 16.166 96.838 3.162 70.2 320 0.875 bilinear
22 tf_efficientnet_b5 83.816 16.184 96.75 3.25 30.39 456 0.934 bicubic
23 swsl_resnext101_32x16d 83.338 16.662 96.852 3.148 194.03 224 0.875 bilinear
24 tf_efficientnet_b4_ap 83.248 16.752 96.388 3.612 19.34 380 0.922 bicubic
25 swsl_resnext101_32x4d 83.234 16.766 96.756 3.244 44.18 224 0.875 bilinear
26 tresnet_xl_448 83.048 16.952 96.174 3.826 78.44 448 0.875 bilinear
27 tf_efficientnet_b4 83.016 16.984 96.298 3.702 19.34 380 0.922 bicubic
28 resnest101e 82.89 17.11 96.324 3.676 48.28 256 0.875 bilinear
29 pnasnet5large 82.74 17.26 96.04 3.96 86.06 331 0.875 bicubic
30 ig_resnext101_32x8d 82.688 17.312 96.632 3.368 88.79 224 0.875 bilinear
31 nasnetalarge 82.558 17.442 96.036 3.964 88.75 331 0.875 bicubic
34 swsl_resnext50_32x4d 82.18 17.82 96.228 3.772 25.03 224 0.875 bilinear
35 ecaresnet101d 82.166 17.834 96.052 3.948 44.57 224 0.875 bicubic
36 tresnet_xl 82.07 17.93 95.928 4.072 78.44 224 0.875 bilinear
37 efficientnet_b3a 81.874 18.126 95.84 4.16 12.23 320 1 1.0 bicubic
38 ssl_resnext101_32x16d 81.836 18.164 96.094 3.906 194.03 224 0.875 bilinear
39 tf_efficientnet_b3_ap 81.828 18.172 95.624 4.376 12.23 300 0.904 bicubic
40 tresnet_m_448 81.712 18.288 95.57 4.43 31.39 448 0.875 bilinear
47 senet154 81.304 18.696 95.498 4.502 115.09 224 0.875 bilinear
48 gluon_senet154 81.224 18.776 95.356 4.644 115.09 224 0.875 bicubic
49 swsl_resnet50 81.18 18.82 95.986 4.014 25.56 224 0.875 bilinear
50 resnest50d_4s2x40d 81.114 18.886 95.568 4.432 30.42 224 0.875 bicubic
51 gluon_resnet152_v1s 81.012 18.988 95.416 4.584 60.32 224 0.875 bicubic
52 resnest50d_1s4x24d 80.99 19.01 95.322 4.678 25.68 224 0.875 bicubic
53 resnest50d 80.958 19.042 95.382 4.618 27.48 224 0.875 bilinear
54 ssl_resnext101_32x4d 80.928 19.072 95.728 4.272 44.18 224 0.875 bilinear
55 gluon_seresnext101_32x4d 80.902 19.098 95.294 4.706 48.96 224 0.875 bicubic
56 gluon_seresnext101_64x4d 80.89 19.11 95.304 4.696 88.23 224 0.875 bicubic
57 efficientnet_b3_pruned 80.856 19.144 95.24 4.76 9.86 300 0.904 bicubic
58 regnety_320 80.814 19.186 95.24 4.76 145.05 224 0.875 bicubic
59 ecaresnet101d_pruned 80.808 19.192 95.628 4.372 24.88 224 0.875 bicubic
60 tresnet_m 80.796 19.204 94.856 5.144 31.39 224 0.875 bilinear
61 efficientnet_b2a 80.608 19.392 95.31 4.69 9.11 288 1 1.0 bicubic
62 ecaresnet50d 80.604 19.396 95.322 4.678 25.58 224 0.875 bicubic
63 gluon_resnext101_64x4d 80.602 19.398 94.994 5.006 83.46 224 0.875 bicubic
64 mixnet_xl 80.478 19.522 94.932 5.068 11.9 224 0.875 bicubic
68 tf_efficientnet_el 80.448 19.552 95.16 4.84 10.59 300 0.904 bicubic
69 gluon_resnet101_v1d 80.424 19.576 95.02 4.98 44.57 224 0.875 bicubic
70 efficientnet_b2 80.402 19.598 95.076 4.924 9.11 260 0.875 bicubic
71 regnety_120 80.382 19.618 95.128 4.872 51.82 224 0.875 bicubic
72 gluon_resnext101_32x4d 80.334 19.666 94.926 5.074 44.18 224 0.875 bicubic
73 ssl_resnext50_32x4d 80.328 19.672 95.404 4.596 25.03 224 0.875 bilinear
74 tf_efficientnet_b2_ap 80.306 19.694 95.028 4.972 9.11 260 0.89 bicubic
75 gluon_resnet101_v1s 80.3 19.7 95.15 4.85 44.67 224 0.875 bicubic
76 regnety_160 80.3 19.7 94.962 5.038 83.59 224 0.875 bicubic
77 regnetx_320 80.246 19.754 95.022 4.978 107.81 224 0.875 bicubic
78 seresnext101_32x4d 80.236 19.764 95.028 4.972 48.96 224 0.875 bilinear
79 dpn107 80.164 19.836 94.912 5.088 86.92 224 0.875 bicubic
80 inception_v4 80.156 19.844 94.974 5.026 42.68 299 0.875 bicubic
85 efficientnet_b2_pruned 79.918 20.082 94.848 5.152 8.31 260 0.89 bicubic
86 gluon_resnet152_v1c 79.916 20.084 94.842 5.158 60.21 224 0.875 bicubic
87 gluon_seresnext50_32x4d 79.912 20.088 94.818 5.182 27.56 224 0.875 bicubic
88 regnety_080 79.868 20.132 94.832 5.168 39.18 224 0.875 bicubic
89 regnetx_160 79.866 20.134 94.828 5.172 54.28 224 0.875 bicubic
90 dpn131 79.828 20.172 94.704 5.296 79.25 224 0.875 bicubic
91 tf_efficientnet_lite3 79.812 20.188 94.914 5.086 8.2 300 0.904 bilinear
92 resnext50_32x4d 79.762 20.238 94.6 5.4 25.03 224 0.875 bicubic
93 ecaresnet50d_pruned 79.718 20.282 94.89 5.11 19.94 224 0.875 bicubic
94 regnety_064 79.712 20.288 94.774 5.226 30.58 224 0.875 bicubic
95 gluon_resnet152_v1b 79.692 20.308 94.738 5.262 60.19 224 0.875 bicubic
96 resnext50d_32x4d 79.674 20.326 94.868 5.132 25.05 224 0.875 bicubic
97 dpn98 79.636 20.364 94.594 5.406 61.57 224 0.875 bicubic
98 gluon_xception65 79.604 20.396 94.748 5.252 39.92 299 0.875 bicubic
99 regnetx_120 79.59 20.41 94.74 5.26 46.11 224 0.875 bicubic
100 gluon_resnet101_v1c 79.544 20.456 94.586 5.414 44.57 224 0.875 bicubic
101 hrnet_w64 79.472 20.528 94.65 5.35 128.06 224 0.875 bilinear
102 dla102x2 79.452 20.548 94.644 5.356 41.75 224 0.875 bilinear
103 gluon_resnext50_32x4d 79.356 20.644 94.424 5.576 25.03 224 0.875 bicubic
104 ese_vovnet39b 79.32 20.68 94.71 5.29 24.57 224 0.875 bicubic
105 resnext101_32x8d 79.312 20.688 94.526 5.474 88.79 224 0.875 bilinear
106 hrnet_w48 79.31 20.69 94.518 5.482 77.47 224 0.875 bilinear
107 gluon_resnet101_v1b 79.304 20.696 94.524 5.476 44.55 224 0.875 bicubic
109 resnetblur50 79.29 20.71 94.632 5.368 25.56 224 0.875 bicubic
110 tf_efficientnet_b1_ap 79.278 20.722 94.308 5.692 7.79 240 0.882 bicubic
111 ssl_resnet50 79.228 20.772 94.832 5.168 25.56 224 0.875 bilinear
112 regnety_040 79.222 20.778 94.656 5.344 20.65 224 0.875 bicubic
113 res2net50_26w_8s 79.21 20.79 94.362 5.638 48.4 224 0.875 bilinear
114 regnetx_080 79.198 20.802 94.558 5.442 39.57 224 0.875 bicubic
115 res2net101_26w_4s 79.196 20.804 94.44 5.56 45.21 224 0.875 bilinear
116 seresnext50_32x4d 79.076 20.924 94.434 5.566 27.56 224 0.875 bilinear
117 gluon_resnet50_v1d 79.074 20.926 94.476 5.524 25.58 224 0.875 bicubic
118 regnetx_064 79.066 20.934 94.456 5.544 26.21 224 0.875 bicubic
119 xception 79.048 20.952 94.392 5.608 22.86 299 0.8975 bicubic
120 resnet50 79.032 20.968 94.384 5.616 25.56 224 0.875 bicubic
121 mixnet_l 78.976 21.024 94.184 5.816 7.33 224 0.875 bicubic
122 hrnet_w40 78.934 21.066 94.466 5.534 57.56 224 0.875 bilinear
123 hrnet_w44 78.894 21.106 94.37 5.63 67.06 224 0.875 bilinear
124 regnety_032 78.87 21.13 94.402 5.598 19.44 224 0.875 bicubic
125 wide_resnet101_2 78.846 21.154 94.284 5.716 126.89 224 0.875 bilinear
126 tf_efficientnet_b1 78.832 21.168 94.196 5.804 7.79 240 0.882 bicubic
127 gluon_inception_v3 78.804 21.196 94.38 5.62 23.83 299 0.875 bicubic
134 tf_efficientnet_b0_ns 78.652 21.348 94.368 5.632 5.29 224 0.875 bicubic
135 res2net50_26w_6s 78.574 21.426 94.126 5.874 37.05 224 0.875 bilinear
136 dla102x 78.508 21.492 94.234 5.766 26.77 224 0.875 bilinear
137 regnetx_040 78.486 21.514 94.242 5.758 22.12 224 0.875 bicubic
138 resnest26d 78.482 21.518 94.29 5.71 17.07 224 0.875 bilinear
139 dla60_res2net 78.472 21.528 94.204 5.796 21.15 224 0.875 bilinear
140 wide_resnet50_2 78.468 21.532 94.086 5.914 68.88 224 0.875 bilinear
141 dla60_res2next 78.448 21.552 94.144 5.856 17.33 224 0.875 bilinear
143 selecsls60b 78.418 21.582 94.166 5.834 32.77 224 0.875 bicubic
144 seresnet101 78.396 21.604 94.258 5.742 49.33 224 0.875 bilinear
145 resnet152 78.312 21.688 94.046 5.954 60.19 224 0.875 bilinear
efficientnet_b1_pruned 78.242 21.758 93.832 6.168 6.33 240 0.882 bicubic
146 dla60x 78.242 21.758 94.022 5.978 17.65 224 0.875 bilinear
147 efficientnet_b1_pruned 78.242 21.758 93.832 6.168 6.33 240 0.882 bicubic
148 res2next50 78.242 21.758 93.892 6.108 24.67 224 0.875 bilinear
149 hrnet_w30 78.196 21.804 94.218 94.22 5.782 5.78 37.71 224 0.875 bilinear
150 regnetx_032 78.166 21.834 94.08 5.92 15.3 224 0.875 bicubic
151 res2net50_14w_8s 78.152 21.848 93.842 6.158 25.06 224 0.875 bilinear
152 efficientnet_es 78.054 21.946 93.93 6.07 5.44 224 0.875 bicubic
153 dla102 78.026 21.974 93.95 6.05 33.73 224 0.875 bilinear
158 res2net50_26w_4s 77.946 22.054 93.852 6.148 25.7 224 0.875 bilinear
159 tf_efficientnet_cc_b0_8e 77.908 22.092 93.656 6.344 24.01 224 0.875 bicubic
160 tf_inception_v3 77.856 22.144 93.644 6.356 23.83 299 0.875 bicubic
161 regnety_016 77.852 22.148 93.716 6.284 11.2 224 0.875 bicubic
162 efficientnet_b0 77.692 22.308 93.532 6.468 5.29 224 0.875 bicubic
163 seresnet50 77.636 22.364 93.752 6.248 28.09 224 0.875 bilinear
164 tv_resnext50_32x4d 77.618 22.382 93.698 6.302 25.03 224 0.875 bilinear
165 seresnext26d_32x4d 77.604 22.396 93.612 6.388 16.81 224 0.875 bicubic
166 adv_inception_v3 77.58 22.42 93.724 6.276 23.83 299 0.875 bicubic
167 gluon_resnet50_v1b 77.578 22.422 93.718 6.282 25.56 224 0.875 bicubic
adv_inception_v3 77.576 22.424 93.724 6.276 23.83 299 0.875 bicubic
168 dpn68b 77.514 22.486 93.822 6.178 12.61 224 0.875 bicubic
169 res2net50_48w_2s 77.514 22.486 93.548 6.452 25.29 224 0.875 bilinear
170 tf_efficientnet_lite2 77.46 22.54 93.746 6.254 6.09 260 0.89 bicubic
171 inception_v3 77.434 77.436 22.566 22.564 93.478 93.476 6.522 6.524 27.16 23.83 299 0.875 bicubic
172 resnet101 77.374 22.626 93.546 6.454 44.55 224 0.875 bilinear
173 densenet161 77.348 22.652 93.648 6.352 28.68 224 0.875 bicubic
174 tf_efficientnet_cc_b0_4e 77.304 22.696 93.332 6.668 13.31 224 0.875 bicubic
179 selecsls42b 77.176 22.824 93.392 6.608 32.46 224 0.875 bicubic
180 seresnext26_32x4d 77.1 22.9 93.31 6.69 16.79 224 0.875 bicubic
181 tf_efficientnet_b0_ap 77.084 22.916 93.254 6.746 5.29 224 0.875 bicubic
182 dla60 77.022 77.024 22.978 22.976 93.308 6.692 22.33 224 0.875 bilinear
183 tf_mixnet_m 76.95 23.05 93.156 6.844 5.01 224 0.875 bicubic
184 regnetx_016 76.93 23.07 93.418 6.582 9.19 224 0.875 bicubic
185 skresnet34 76.91 23.09 93.316 6.684 22.28 224 0.875 bicubic
186 tf_efficientnet_b0 76.84 23.16 93.226 6.774 5.29 224 0.875 bicubic
187 hrnet_w18 76.756 23.244 93.442 6.558 21.3 224 0.875 bilinear
188 resnet26d 76.68 23.32 93.166 6.834 16.01 224 0.875 bicubic
189 tf_efficientnet_lite1 76.638 23.362 93.232 6.768 5.42 240 0.882 bicubic
190 densenetblur121d 76.576 23.424 93.19 6.81 8.0 224 0.875 bicubic
191 mobilenetv2_140 76.524 23.476 92.99 7.01 6.11 224 0.875 bicubic
192 regnety_008 76.314 23.686 93.062 6.938 6.26 224 0.875 bicubic
193 dpn68 76.306 23.694 92.97 7.03 12.61 224 0.875 bicubic
194 tv_resnet50 76.13 23.87 92.862 7.138 25.56 224 0.875 bilinear
195 mixnet_s 75.988 24.012 92.794 7.206 4.13 224 0.875 bicubic
196 densenet169 75.912 24.088 93.024 6.976 14.15 224 0.875 bicubic
197 mobilenetv3_large_100 75.768 24.232 92.54 7.46 5.48 224 0.875 bicubic
198 tf_mixnet_s 75.648 24.352 92.636 7.364 4.13 224 0.875 bicubic
199 mobilenetv3_rw 75.628 24.372 92.708 92.71 7.292 7.29 5.48 224 0.875 bicubic
200 densenet121 75.574 24.426 92.656 7.344 7.98 224 0.875 bicubic
201 tf_mobilenetv3_large_100 75.516 24.484 92.6 7.4 5.48 224 0.875 bilinear
202 resnest14d 75.504 24.496 92.514 7.486 10.61 224 0.875 bilinear
203 semnasnet_100 75.456 24.544 92.592 7.408 3.89 224 0.875 bicubic
204 resnet26 75.292 24.708 92.57 7.43 16 16.0 224 0.875 bicubic
205 regnety_006 75.26 24.74 92.528 7.472 6.06 224 0.875 bicubic
206 hrnet_w18_small_v2 75.126 24.874 92.416 7.584 15.6 224 0.875 bilinear
207 fbnetc_100 75.12 24.88 92.386 7.614 5.57 224 0.875 bilinear
208 resnet34 75.112 24.888 92.288 7.712 21.8 224 0.875 bilinear
209 mobilenetv2_110d 75.052 24.948 92.18 7.82 4.52 224 0.875 bicubic
210 regnetx_008 75.022 24.978 92.344 7.656 7.26 224 0.875 bicubic
211 tf_efficientnet_lite0 74.842 25.158 92.17 7.83 4.65 224 0.875 bicubic
212 seresnet34 74.808 25.192 92.126 7.874 21.96 224 0.875 bilinear
213 densenet121 tv_densenet121 74.752 25.248 92.152 7.848 7.98 224 0.875 bicubic
214 mnasnet_100 74.656 25.344 92.126 7.874 4.38 224 0.875 bicubic
215 dla34 74.636 25.364 92.064 7.936 15.78 224 0.875 bilinear
216 gluon_resnet34_v1b 74.58 25.42 91.988 8.012 21.8 224 0.875 bicubic
217 spnasnet_100 74.08 25.92 91.832 8.168 4.42 224 0.875 bilinear
218 regnety_004 74.026 25.974 91.748 8.252 4.34 224 0.875 bicubic
219 regnetx_006 73.862 26.138 91.68 8.32 6.2 224 0.875 bicubic
220 tf_mobilenetv3_large_075 73.442 26.558 91.352 8.648 3.99 224 0.875 bilinear
221 tv_resnet34 73.314 26.686 91.42 8.58 21.8 224 0.875 bilinear
222 swsl_resnet18 73.286 26.714 91.732 8.268 11.69 224 0.875 bilinear
223 skresnet18 73.044 26.956 91.178 8.822 11.96 224 0.875 bicubic
224 mobilenetv2_100 72.978 27.022 91.016 8.984 3.5 224 0.875 bicubic
225 ssl_resnet18 72.6 27.4 91.418 91.416 8.582 8.584 11.69 224 0.875 bilinear
226 regnetx_004 72.406 27.594 90.83 9.17 5.16 224 0.875 bicubic
227 hrnet_w18_small 72.342 27.658 90.672 9.328 13.19 224 0.875 bilinear
228 tf_mobilenetv3_large_minimal_100 72.244 27.756 90.636 9.364 3.92 224 0.875 bilinear
229 seresnet18 71.758 28.242 90.334 9.666 11.78 224 0.875 bicubic
230 gluon_resnet18_v1b 70.83 29.17 89.756 10.244 11.69 224 0.875 bicubic
231 regnety_002 70.282 29.718 89.54 10.46 3.16 224 0.875 bicubic
232 resnet18 69.758 30.242 89.078 10.922 11.69 224 0.875 bilinear
233 regnetx_002 68.754 31.246 88.548 11.452 2.68 224 0.875 bicubic
234 tf_mobilenetv3_small_100 67.918 32.082 87.662 12.338 2.54 224 0.875 bilinear
235 dla60x_c 67.908 32.092 88.434 11.566 1.34 224 0.875 bilinear
236 dla46x_c 65.98 34.02 86.98 13.02 1.08 224 0.875 bilinear

35
results/results-imagenetv2-matched-frequency.csv
Unescape View File

@ -17,12 +17,15 @@ tf_efficientnet_b7,74.72,25.28,92.22,7.78,66.35,600,0.949,bicubic
tf_efficientnet_b5_ap,74.59,25.41,91.99,8.01,30.39,456,0.934,bicubic
swsl_resnext101_32x4d,74.15,25.85,91.99,8.01,44.18,224,0.875,bilinear
swsl_resnext101_32x16d,74.01,25.99,92.17,7.83,194.03,224,0.875,bilinear
resnest200e,73.93,26.07,91.58,8.42,70.2,320,0.875,bilinear
tf_efficientnet_b6,73.9,26.1,91.75,8.25,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,73.87,26.13,91.86,8.14,12.23,300,0.904,bicubic
ig_resnext101_32x8d,73.66,26.34,92.15,7.85,88.79,224,0.875,bilinear
tf_efficientnet_b5,73.54,26.46,91.46,8.54,30.39,456,0.934,bicubic
resnest269e,73.46,26.54,91.68,8.32,110.93,416,0.875,bilinear
tf_efficientnet_b4_ap,72.89,27.11,90.98,9.02,19.34,380,0.922,bicubic
swsl_resnext50_32x4d,72.58,27.42,90.84,9.16,25.03,224,0.875,bilinear
resnest101e,72.55,27.45,90.81,9.19,48.28,256,0.875,bilinear
tresnet_xl_448,72.55,27.45,90.31,9.69,78.44,448,0.875,bilinear
pnasnet5large,72.37,27.63,90.26,9.74,86.06,331,0.875,bicubic
nasnetalarge,72.31,27.69,90.51,9.49,88.75,331,0.875,bicubic
@ -34,9 +37,10 @@ tresnet_l_448,71.6,28.4,90.06,9.94,55.99,448,0.875,bilinear
ecaresnet101d,71.5,28.5,90.31,9.69,44.57,224,0.875,bicubic
ssl_resnext101_32x8d,71.49,28.51,90.47,9.53,88.79,224,0.875,bilinear
ssl_resnext101_32x16d,71.4,28.6,90.55,9.45,194.03,224,0.875,bilinear
tresnet_m_448,71,29,88.68,11.32,31.39,448,0.875,bilinear
tresnet_m_448,71.0,29.0,88.68,11.32,31.39,448,0.875,bilinear
resnest50d_4s2x40d,70.94,29.06,89.71,10.29,30.42,224,0.875,bicubic
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,bicubic
efficientnet_b3a,70.87,29.13,89.72,10.28,12.23,320,1.0,bicubic
tf_efficientnet_b1_ns,70.85,29.15,90.11,9.89,7.79,240,0.882,bicubic
tresnet_l,70.83,29.17,89.61,10.39,55.99,224,0.875,bilinear
efficientnet_b3,70.76,29.24,89.84,10.16,12.23,300,0.904,bicubic
@ -45,7 +49,9 @@ gluon_senet154,70.6,29.4,88.92,11.08,115.09,224,0.875,bicubic
ssl_resnext101_32x4d,70.5,29.5,89.76,10.24,44.18,224,0.875,bilinear
senet154,70.48,29.52,88.99,11.01,115.09,224,0.875,bilinear
gluon_seresnext101_64x4d,70.44,29.56,89.35,10.65,88.23,224,0.875,bicubic
resnest50d_1s4x24d,70.43,29.57,89.24,10.76,25.68,224,0.875,bicubic
tf_efficientnet_lite4,70.43,29.57,89.12,10.88,13.01,380,0.92,bilinear
resnest50d,70.42,29.58,88.76,11.24,27.48,224,0.875,bilinear
gluon_resnet152_v1s,70.32,29.68,88.87,11.13,60.32,224,0.875,bicubic
ecaresnet101d_pruned,70.12,29.88,89.58,10.42,24.88,224,0.875,bicubic
inception_resnet_v2,70.12,29.88,88.68,11.32,55.84,299,0.8975,bicubic
@ -54,16 +60,16 @@ gluon_resnet152_v1d,69.95,30.05,88.47,11.53,60.21,224,0.875,bicubic
ecaresnet50d,69.83,30.17,89.37,10.63,25.58,224,0.875,bicubic
gluon_resnext101_64x4d,69.69,30.31,88.26,11.74,83.46,224,0.875,bicubic
ssl_resnext50_32x4d,69.69,30.31,89.42,10.58,25.03,224,0.875,bilinear
tresnet_m,69.65,30.35,88,12,31.39,224,0.875,bilinear
tresnet_m,69.65,30.35,88.0,12.0,31.39,224,0.875,bilinear
efficientnet_b3_pruned,69.58,30.42,88.97,11.03,9.86,300,0.904,bicubic
ens_adv_inception_resnet_v2,69.52,30.48,88.5,11.5,55.84,299,0.8975,bicubic
efficientnet_b2a,69.49,30.51,88.68,11.32,9.11,288,1,bicubic
efficientnet_b2a,69.49,30.51,88.68,11.32,9.11,288,1.0,bicubic
inception_v4,69.35,30.65,88.78,11.22,42.68,299,0.875,bicubic
seresnext101_32x4d,69.34,30.66,88.05,11.95,48.96,224,0.875,bilinear
ecaresnetlight,69.33,30.67,89.22,10.78,30.16,224,0.875,bicubic
gluon_resnet152_v1c,69.13,30.87,87.89,12.11,60.21,224,0.875,bicubic
mixnet_xl,69.08,30.92,88.31,11.69,11.9,224,0.875,bicubic
efficientnet_b2,69,31,88.62,11.38,9.11,260,0.875,bicubic
efficientnet_b2,69.0,31.0,88.62,11.38,9.11,260,0.875,bicubic
gluon_resnet101_v1d,68.99,31.01,88.08,11.92,44.57,224,0.875,bicubic
gluon_xception65,68.98,31.02,88.32,11.68,39.92,299,0.875,bicubic
gluon_resnext101_32x4d,68.96,31.04,88.34,11.66,44.18,224,0.875,bicubic
@ -85,6 +91,7 @@ dla102x2,68.34,31.66,87.87,12.13,41.75,224,0.875,bilinear
efficientnet_b2_pruned,68.3,31.7,88.1,11.9,8.31,260,0.89,bicubic
gluon_resnext50_32x4d,68.28,31.72,87.32,12.68,25.03,224,0.875,bicubic
tf_efficientnet_lite3,68.23,31.77,87.72,12.28,8.2,300,0.904,bilinear
ese_vovnet39b,68.19,31.81,88.26,11.74,24.57,224,0.875,bicubic
tf_efficientnet_el,68.18,31.82,88.35,11.65,10.59,300,0.904,bicubic
dpn92,68.01,31.99,87.59,12.41,37.67,224,0.875,bicubic
gluon_resnet50_v1d,67.91,32.09,87.12,12.88,25.58,224,0.875,bicubic
@ -104,15 +111,16 @@ tf_efficientnet_b1_ap,67.52,32.48,87.77,12.23,7.79,240,0.882,bicubic
tf_efficientnet_cc_b1_8e,67.48,32.52,87.31,12.69,39.72,240,0.882,bicubic
gluon_resnet101_v1b,67.45,32.55,87.23,12.77,44.55,224,0.875,bicubic
res2net101_26w_4s,67.45,32.55,87.01,12.99,45.21,224,0.875,bilinear
resnetblur50,67.44,32.56,87.43,12.57,25.56,224,0.875,bicubic
resnet50,67.44,32.56,87.42,12.58,25.56,224,0.875,bicubic
resnetblur50,67.44,32.56,87.43,12.57,25.56,224,0.875,bicubic
resnest26d,67.21,32.79,87.18,12.82,17.07,224,0.875,bilinear
efficientnet_b1,67.16,32.84,87.15,12.85,7.79,240,0.875,bicubic
seresnet101,67.15,32.85,87.05,12.95,49.33,224,0.875,bilinear
gluon_resnet50_v1s,67.1,32.9,86.86,13.14,25.68,224,0.875,bicubic
dla60x,67.08,32.92,87.17,12.83,17.65,224,0.875,bilinear
dla60_res2net,67.03,32.97,87.14,12.86,21.15,224,0.875,bilinear
resnet152,67.02,32.98,87.57,12.43,60.19,224,0.875,bilinear
dla102x,67,33,86.77,13.23,26.77,224,0.875,bilinear
dla102x,67.0,33.0,86.77,13.23,26.77,224,0.875,bilinear
mixnet_l,66.97,33.03,86.94,13.06,7.33,224,0.875,bicubic
res2net50_26w_6s,66.91,33.09,86.9,13.1,37.05,224,0.875,bilinear
efficientnet_es,66.89,33.11,86.73,13.27,5.44,224,0.875,bicubic
@ -128,14 +136,14 @@ dla60_res2next,66.64,33.36,87.02,12.98,17.33,224,0.875,bilinear
adv_inception_v3,66.6,33.4,86.56,13.44,23.83,299,0.875,bicubic
dla102,66.55,33.45,86.91,13.09,33.73,224,0.875,bilinear
gluon_resnet50_v1c,66.54,33.46,86.16,13.84,25.58,224,0.875,bicubic
tf_inception_v3,66.41,33.59,86.68,13.32,23.83,299,0.875,bicubic
tf_inception_v3,66.42,33.58,86.68,13.32,23.83,299,0.875,bicubic
efficientnet_b0,66.25,33.75,85.95,14.05,5.29,224,0.875,bicubic
seresnet50,66.24,33.76,86.33,13.67,28.09,224,0.875,bilinear
selecsls60,66.22,33.78,86.33,13.67,30.67,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,66.21,33.79,86.22,13.78,24.01,224,0.875,bicubic
tv_resnext50_32x4d,66.18,33.82,86.04,13.96,25.03,224,0.875,bilinear
res2net50_26w_4s,66.17,33.83,86.6,13.4,25.7,224,0.875,bilinear
inception_v3,66.12,33.88,86.34,13.66,27.16,299,0.875,bicubic
inception_v3,66.12,33.88,86.34,13.66,23.83,299,0.875,bicubic
efficientnet_b1_pruned,66.08,33.92,86.58,13.42,6.33,240,0.882,bicubic
gluon_resnet50_v1b,66.04,33.96,86.27,13.73,25.56,224,0.875,bicubic
res2net50_14w_8s,66.02,33.98,86.24,13.76,25.06,224,0.875,bilinear
@ -151,6 +159,7 @@ tf_efficientnet_b0_ap,65.49,34.51,85.55,14.45,5.29,224,0.875,bicubic
seresnext26d_32x4d,65.42,34.58,85.97,14.03,16.81,224,0.875,bicubic
tf_efficientnet_lite2,65.39,34.61,86.03,13.97,6.09,260,0.89,bicubic
res2net50_48w_2s,65.32,34.68,85.96,14.04,25.29,224,0.875,bilinear
densenetblur121d,65.3,34.7,85.71,14.29,8.0,224,0.875,bicubic
densenet201,65.28,34.72,85.67,14.33,20.01,224,0.875,bicubic
tf_efficientnet_es,65.24,34.76,85.54,14.46,5.44,224,0.875,bicubic
dla60,65.22,34.78,85.75,14.25,22.33,224,0.875,bilinear
@ -166,21 +175,23 @@ tf_efficientnet_b0,64.29,35.71,85.25,14.75,5.29,224,0.875,bicubic
tf_mixnet_m,64.27,35.73,85.09,14.91,5.01,224,0.875,bicubic
dpn68,64.22,35.78,85.18,14.82,12.61,224,0.875,bicubic
mobilenetv2_140,64.05,35.95,85.02,14.98,6.11,224,0.875,bicubic
densenet121,63.74,36.26,84.63,15.37,7.98,224,0.875,bicubic
resnest14d,63.6,36.4,84.22,15.78,10.61,224,0.875,bilinear
tf_mixnet_s,63.59,36.41,84.27,15.73,4.13,224,0.875,bicubic
resnet26,63.45,36.55,84.27,15.73,16,224,0.875,bicubic
resnet26,63.45,36.55,84.27,15.73,16.0,224,0.875,bicubic
mixnet_s,63.38,36.62,84.71,15.29,4.13,224,0.875,bicubic
mobilenetv3_large_100,63.36,36.64,84.08,15.92,5.48,224,0.875,bicubic
tv_resnet50,63.33,36.67,84.65,15.35,25.56,224,0.875,bilinear
mobilenetv3_rw,63.23,36.77,84.52,15.48,5.48,224,0.875,bicubic
semnasnet_100,63.12,36.88,84.53,15.47,3.89,224,0.875,bicubic
densenet121,62.94,37.06,84.26,15.74,7.98,224,0.875,bicubic
tv_densenet121,62.94,37.06,84.26,15.74,7.98,224,0.875,bicubic
seresnet34,62.89,37.11,84.22,15.78,21.96,224,0.875,bilinear
hrnet_w18_small_v2,62.83,37.17,83.97,16.03,15.6,224,0.875,bilinear
mobilenetv2_110d,62.82,37.18,84.48,15.52,4.52,224,0.875,bicubic
resnet34,62.82,37.18,84.12,15.88,21.8,224,0.875,bilinear
swsl_resnet18,62.73,37.27,84.3,15.7,11.69,224,0.875,bilinear
tf_efficientnet_lite0,62.58,37.42,84.25,15.75,4.65,224,0.875,bicubic
gluon_resnet34_v1b,62.56,37.44,84,16,21.8,224,0.875,bicubic
gluon_resnet34_v1b,62.56,37.44,84.0,16.0,21.8,224,0.875,bicubic
dla34,62.51,37.49,83.92,16.08,15.78,224,0.875,bilinear
tf_mobilenetv3_large_100,62.47,37.53,83.96,16.04,5.48,224,0.875,bilinear
fbnetc_100,62.43,37.57,83.39,16.61,5.57,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
17 tf_efficientnet_b5_ap 74.59 25.41 91.99 8.01 30.39 456 0.934 bicubic
18 swsl_resnext101_32x4d 74.15 25.85 91.99 8.01 44.18 224 0.875 bilinear
19 swsl_resnext101_32x16d 74.01 25.99 92.17 7.83 194.03 224 0.875 bilinear
20 resnest200e 73.93 26.07 91.58 8.42 70.2 320 0.875 bilinear
21 tf_efficientnet_b6 73.9 26.1 91.75 8.25 43.04 528 0.942 bicubic
22 tf_efficientnet_b3_ns 73.87 26.13 91.86 8.14 12.23 300 0.904 bicubic
23 ig_resnext101_32x8d 73.66 26.34 92.15 7.85 88.79 224 0.875 bilinear
24 tf_efficientnet_b5 73.54 26.46 91.46 8.54 30.39 456 0.934 bicubic
25 resnest269e 73.46 26.54 91.68 8.32 110.93 416 0.875 bilinear
26 tf_efficientnet_b4_ap 72.89 27.11 90.98 9.02 19.34 380 0.922 bicubic
27 swsl_resnext50_32x4d 72.58 27.42 90.84 9.16 25.03 224 0.875 bilinear
28 resnest101e 72.55 27.45 90.81 9.19 48.28 256 0.875 bilinear
29 tresnet_xl_448 72.55 27.45 90.31 9.69 78.44 448 0.875 bilinear
30 pnasnet5large 72.37 27.63 90.26 9.74 86.06 331 0.875 bicubic
31 nasnetalarge 72.31 27.69 90.51 9.49 88.75 331 0.875 bicubic
37 ecaresnet101d 71.5 28.5 90.31 9.69 44.57 224 0.875 bicubic
38 ssl_resnext101_32x8d 71.49 28.51 90.47 9.53 88.79 224 0.875 bilinear
39 ssl_resnext101_32x16d 71.4 28.6 90.55 9.45 194.03 224 0.875 bilinear
40 tresnet_m_448 71 71.0 29 29.0 88.68 11.32 31.39 448 0.875 bilinear
41 resnest50d_4s2x40d 70.94 29.06 89.71 10.29 30.42 224 0.875 bicubic
42 tf_efficientnet_b3_ap 70.92 29.08 89.43 10.57 12.23 300 0.904 bicubic
43 efficientnet_b3a 70.87 29.13 89.72 10.28 12.23 320 1 1.0 bicubic
44 tf_efficientnet_b1_ns 70.85 29.15 90.11 9.89 7.79 240 0.882 bicubic
45 tresnet_l 70.83 29.17 89.61 10.39 55.99 224 0.875 bilinear
46 efficientnet_b3 70.76 29.24 89.84 10.16 12.23 300 0.904 bicubic
49 ssl_resnext101_32x4d 70.5 29.5 89.76 10.24 44.18 224 0.875 bilinear
50 senet154 70.48 29.52 88.99 11.01 115.09 224 0.875 bilinear
51 gluon_seresnext101_64x4d 70.44 29.56 89.35 10.65 88.23 224 0.875 bicubic
52 resnest50d_1s4x24d 70.43 29.57 89.24 10.76 25.68 224 0.875 bicubic
53 tf_efficientnet_lite4 70.43 29.57 89.12 10.88 13.01 380 0.92 bilinear
54 resnest50d 70.42 29.58 88.76 11.24 27.48 224 0.875 bilinear
55 gluon_resnet152_v1s 70.32 29.68 88.87 11.13 60.32 224 0.875 bicubic
56 ecaresnet101d_pruned 70.12 29.88 89.58 10.42 24.88 224 0.875 bicubic
57 inception_resnet_v2 70.12 29.88 88.68 11.32 55.84 299 0.8975 bicubic
60 ecaresnet50d 69.83 30.17 89.37 10.63 25.58 224 0.875 bicubic
61 gluon_resnext101_64x4d 69.69 30.31 88.26 11.74 83.46 224 0.875 bicubic
62 ssl_resnext50_32x4d 69.69 30.31 89.42 10.58 25.03 224 0.875 bilinear
63 tresnet_m 69.65 30.35 88 88.0 12 12.0 31.39 224 0.875 bilinear
64 efficientnet_b3_pruned 69.58 30.42 88.97 11.03 9.86 300 0.904 bicubic
65 ens_adv_inception_resnet_v2 69.52 30.48 88.5 11.5 55.84 299 0.8975 bicubic
66 efficientnet_b2a 69.49 30.51 88.68 11.32 9.11 288 1 1.0 bicubic
67 inception_v4 69.35 30.65 88.78 11.22 42.68 299 0.875 bicubic
68 seresnext101_32x4d 69.34 30.66 88.05 11.95 48.96 224 0.875 bilinear
69 ecaresnetlight 69.33 30.67 89.22 10.78 30.16 224 0.875 bicubic
70 gluon_resnet152_v1c 69.13 30.87 87.89 12.11 60.21 224 0.875 bicubic
71 mixnet_xl 69.08 30.92 88.31 11.69 11.9 224 0.875 bicubic
72 efficientnet_b2 69 69.0 31 31.0 88.62 11.38 9.11 260 0.875 bicubic
73 gluon_resnet101_v1d 68.99 31.01 88.08 11.92 44.57 224 0.875 bicubic
74 gluon_xception65 68.98 31.02 88.32 11.68 39.92 299 0.875 bicubic
75 gluon_resnext101_32x4d 68.96 31.04 88.34 11.66 44.18 224 0.875 bicubic
91 efficientnet_b2_pruned 68.3 31.7 88.1 11.9 8.31 260 0.89 bicubic
92 gluon_resnext50_32x4d 68.28 31.72 87.32 12.68 25.03 224 0.875 bicubic
93 tf_efficientnet_lite3 68.23 31.77 87.72 12.28 8.2 300 0.904 bilinear
94 ese_vovnet39b 68.19 31.81 88.26 11.74 24.57 224 0.875 bicubic
95 tf_efficientnet_el 68.18 31.82 88.35 11.65 10.59 300 0.904 bicubic
96 dpn92 68.01 31.99 87.59 12.41 37.67 224 0.875 bicubic
97 gluon_resnet50_v1d 67.91 32.09 87.12 12.88 25.58 224 0.875 bicubic
111 tf_efficientnet_cc_b1_8e 67.48 32.52 87.31 12.69 39.72 240 0.882 bicubic
112 gluon_resnet101_v1b 67.45 32.55 87.23 12.77 44.55 224 0.875 bicubic
113 res2net101_26w_4s 67.45 32.55 87.01 12.99 45.21 224 0.875 bilinear
resnetblur50 67.44 32.56 87.43 12.57 25.56 224 0.875 bicubic
114 resnet50 67.44 32.56 87.42 12.58 25.56 224 0.875 bicubic
115 resnetblur50 67.44 32.56 87.43 12.57 25.56 224 0.875 bicubic
116 resnest26d 67.21 32.79 87.18 12.82 17.07 224 0.875 bilinear
117 efficientnet_b1 67.16 32.84 87.15 12.85 7.79 240 0.875 bicubic
118 seresnet101 67.15 32.85 87.05 12.95 49.33 224 0.875 bilinear
119 gluon_resnet50_v1s 67.1 32.9 86.86 13.14 25.68 224 0.875 bicubic
120 dla60x 67.08 32.92 87.17 12.83 17.65 224 0.875 bilinear
121 dla60_res2net 67.03 32.97 87.14 12.86 21.15 224 0.875 bilinear
122 resnet152 67.02 32.98 87.57 12.43 60.19 224 0.875 bilinear
123 dla102x 67 67.0 33 33.0 86.77 13.23 26.77 224 0.875 bilinear
124 mixnet_l 66.97 33.03 86.94 13.06 7.33 224 0.875 bicubic
125 res2net50_26w_6s 66.91 33.09 86.9 13.1 37.05 224 0.875 bilinear
126 efficientnet_es 66.89 33.11 86.73 13.27 5.44 224 0.875 bicubic
136 adv_inception_v3 66.6 33.4 86.56 13.44 23.83 299 0.875 bicubic
137 dla102 66.55 33.45 86.91 13.09 33.73 224 0.875 bilinear
138 gluon_resnet50_v1c 66.54 33.46 86.16 13.84 25.58 224 0.875 bicubic
139 tf_inception_v3 66.41 66.42 33.59 33.58 86.68 13.32 23.83 299 0.875 bicubic
140 efficientnet_b0 66.25 33.75 85.95 14.05 5.29 224 0.875 bicubic
141 seresnet50 66.24 33.76 86.33 13.67 28.09 224 0.875 bilinear
142 selecsls60 66.22 33.78 86.33 13.67 30.67 224 0.875 bicubic
143 tf_efficientnet_cc_b0_8e 66.21 33.79 86.22 13.78 24.01 224 0.875 bicubic
144 tv_resnext50_32x4d 66.18 33.82 86.04 13.96 25.03 224 0.875 bilinear
145 res2net50_26w_4s 66.17 33.83 86.6 13.4 25.7 224 0.875 bilinear
146 inception_v3 66.12 33.88 86.34 13.66 27.16 23.83 299 0.875 bicubic
147 efficientnet_b1_pruned 66.08 33.92 86.58 13.42 6.33 240 0.882 bicubic
148 gluon_resnet50_v1b 66.04 33.96 86.27 13.73 25.56 224 0.875 bicubic
149 res2net50_14w_8s 66.02 33.98 86.24 13.76 25.06 224 0.875 bilinear
159 seresnext26d_32x4d 65.42 34.58 85.97 14.03 16.81 224 0.875 bicubic
160 tf_efficientnet_lite2 65.39 34.61 86.03 13.97 6.09 260 0.89 bicubic
161 res2net50_48w_2s 65.32 34.68 85.96 14.04 25.29 224 0.875 bilinear
162 densenetblur121d 65.3 34.7 85.71 14.29 8.0 224 0.875 bicubic
163 densenet201 65.28 34.72 85.67 14.33 20.01 224 0.875 bicubic
164 tf_efficientnet_es 65.24 34.76 85.54 14.46 5.44 224 0.875 bicubic
165 dla60 65.22 34.78 85.75 14.25 22.33 224 0.875 bilinear
175 tf_mixnet_m 64.27 35.73 85.09 14.91 5.01 224 0.875 bicubic
176 dpn68 64.22 35.78 85.18 14.82 12.61 224 0.875 bicubic
177 mobilenetv2_140 64.05 35.95 85.02 14.98 6.11 224 0.875 bicubic
178 densenet121 63.74 36.26 84.63 15.37 7.98 224 0.875 bicubic
179 resnest14d 63.6 36.4 84.22 15.78 10.61 224 0.875 bilinear
180 tf_mixnet_s 63.59 36.41 84.27 15.73 4.13 224 0.875 bicubic
181 resnet26 63.45 36.55 84.27 15.73 16 16.0 224 0.875 bicubic
182 mixnet_s 63.38 36.62 84.71 15.29 4.13 224 0.875 bicubic
183 mobilenetv3_large_100 63.36 36.64 84.08 15.92 5.48 224 0.875 bicubic
184 tv_resnet50 63.33 36.67 84.65 15.35 25.56 224 0.875 bilinear
185 mobilenetv3_rw 63.23 36.77 84.52 15.48 5.48 224 0.875 bicubic
186 semnasnet_100 63.12 36.88 84.53 15.47 3.89 224 0.875 bicubic
187 densenet121 tv_densenet121 62.94 37.06 84.26 15.74 7.98 224 0.875 bicubic
188 seresnet34 62.89 37.11 84.22 15.78 21.96 224 0.875 bilinear
189 hrnet_w18_small_v2 62.83 37.17 83.97 16.03 15.6 224 0.875 bilinear
190 mobilenetv2_110d 62.82 37.18 84.48 15.52 4.52 224 0.875 bicubic
191 resnet34 62.82 37.18 84.12 15.88 21.8 224 0.875 bilinear
192 swsl_resnet18 62.73 37.27 84.3 15.7 11.69 224 0.875 bilinear
193 tf_efficientnet_lite0 62.58 37.42 84.25 15.75 4.65 224 0.875 bicubic
194 gluon_resnet34_v1b 62.56 37.44 84 84.0 16 16.0 21.8 224 0.875 bicubic
195 dla34 62.51 37.49 83.92 16.08 15.78 224 0.875 bilinear
196 tf_mobilenetv3_large_100 62.47 37.53 83.96 16.04 5.48 224 0.875 bilinear
197 fbnetc_100 62.43 37.57 83.39 16.61 5.57 224 0.875 bilinear

59
results/results-sketch.csv
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@ -24,16 +24,22 @@ tf_efficientnet_b4_ap,40.4763,59.5237,61.7127,38.2873,19.34,380,0.922,bicubic
tf_efficientnet_b3_ns,39.5822,60.4178,61.4632,38.5368,12.23,300,0.904,bicubic
tf_efficientnet_b5,38.3285,61.6715,59.9285,40.0715,30.39,456,0.934,bicubic
tf_efficientnet_b3_ap,37.0611,62.9389,57.2363,42.7637,12.23,300,0.904,bicubic
resnest269e,36.67,63.33,56.8099,43.1901,110.93,416,0.875,bilinear
tf_efficientnet_b2_ns,36.1768,63.8232,57.5547,42.4453,9.11,260,0.89,bicubic
ecaresnet101d,36.0058,63.9942,56.1536,43.8464,44.57,224,0.875,bicubic
swsl_resnet18,35.8604,64.1396,58.439,41.561,11.69,224,0.875,bilinear
swsl_resnet18,35.8604,64.1396,58.437,41.563,11.69,224,0.875,bilinear
resnest200e,35.8466,64.1534,55.8903,44.1097,70.2,320,0.875,bilinear
resnest101e,35.3652,64.6348,55.7861,44.2139,48.28,256,0.875,bilinear
ssl_resnext101_32x16d,34.6087,65.3913,55.9139,44.0861,194.03,224,0.875,bilinear
resnest50d_4s2x40d,34.3611,65.6389,54.7112,45.2888,30.42,224,0.875,bicubic
tf_efficientnet_b1_ns,34.1528,65.8472,55.4894,44.5106,7.79,240,0.882,bicubic
tf_efficientnet_b4,34.0624,65.9376,54.216,45.784,19.34,380,0.922,bicubic
ssl_resnext101_32x8d,34.0211,65.9789,55.5935,44.4065,88.79,224,0.875,bilinear
tf_efficientnet_b6,34.0054,65.9946,54.5403,45.4597,43.04,528,0.942,bicubic
efficientnet_b3_pruned,33.9956,66.0044,54.1099,45.8901,9.86,300,0.904,bicubic
tresnet_xl,33.2587,66.7413,52.2962,47.7038,78.44,224,0.875,bilinear
resnest50d_1s4x24d,33.1388,66.8612,52.8307,47.1693,25.68,224,0.875,bicubic
resnest50d,32.9678,67.0322,52.701,47.299,27.48,224,0.875,bilinear
tf_efficientnet_b3,32.8637,67.1363,52.9623,47.0377,12.23,300,0.904,bicubic
inception_resnet_v2,32.736,67.264,50.6396,49.3604,55.84,299,0.8975,bicubic
gluon_resnet152_v1d,32.7301,67.2699,51.0837,48.9163,60.21,224,0.875,bicubic
@ -45,7 +51,7 @@ ens_adv_inception_resnet_v2,32.3705,67.6295,50.4274,49.5726,55.84,299,0.8975,bic
gluon_resnet152_v1s,32.3312,67.6688,50.5394,49.4606,60.32,224,0.875,bicubic
gluon_seresnext101_64x4d,32.1936,67.8064,50.3272,49.6728,88.23,224,0.875,bicubic
gluon_seresnext101_32x4d,32.115,67.885,51.2409,48.7591,48.96,224,0.875,bicubic
efficientnet_b3a,31.7279,68.2721,51.3215,48.6785,12.23,320,1,bicubic
efficientnet_b3a,31.7279,68.2721,51.3215,48.6785,12.23,320,1.0,bicubic
efficientnet_b3,31.5648,68.4352,51.2724,48.7276,12.23,300,0.904,bicubic
resnet50,31.5451,68.4549,50.1719,49.8281,25.56,224,0.875,bicubic
ssl_resnext101_32x4d,31.4331,68.5669,52.1154,47.8846,44.18,224,0.875,bilinear
@ -62,11 +68,13 @@ ecaresnet101d_pruned,30.8947,69.1053,50.001,49.999,24.88,224,0.875,bicubic
gluon_resnext101_32x4d,30.8809,69.1191,48.537,51.463,44.18,224,0.875,bicubic
tf_efficientnet_lite4,30.8397,69.1603,50.3979,49.6021,13.01,380,0.92,bilinear
dpn107,30.6805,69.3195,48.8062,51.1938,86.92,224,0.875,bicubic
ese_vovnet39b,30.6766,69.3234,49.8929,50.1071,24.57,224,0.875,bicubic
tresnet_xl_448,30.6196,69.3804,49.0715,50.9285,78.44,448,0.875,bilinear
gluon_resnet152_v1b,30.6176,69.3824,48.5311,51.4689,60.19,224,0.875,bicubic
gluon_resnet152_v1b,30.6176,69.3824,48.5292,51.4708,60.19,224,0.875,bicubic
ssl_resnext50_32x4d,30.594,69.406,50.6534,49.3466,25.03,224,0.875,bilinear
gluon_resnet101_v1d,30.5095,69.4905,47.975,52.025,44.57,224,0.875,bicubic
efficientnet_b2a,30.4231,69.5769,49.6748,50.3252,9.11,288,1,bicubic
resnest26d,30.4997,69.5003,50.677,49.323,17.07,224,0.875,bilinear
efficientnet_b2a,30.4231,69.5769,49.6748,50.3252,9.11,288,1.0,bicubic
tf_efficientnet_b1_ap,30.4191,69.5809,49.5529,50.4471,7.79,240,0.882,bicubic
dpn98,30.0576,69.9424,48.2403,51.7597,61.57,224,0.875,bicubic
tf_efficientnet_b2,30.0202,69.9798,49.5903,50.4097,9.11,260,0.89,bicubic
@ -75,14 +83,14 @@ senet154,30.0006,69.9994,48.032,51.968,115.09,224,0.875,bilinear
dpn92,29.9691,70.0309,49.1599,50.8401,37.67,224,0.875,bicubic
gluon_senet154,29.8866,70.1134,47.8728,52.1272,115.09,224,0.875,bicubic
xception,29.8493,70.1507,48.6903,51.3097,22.86,299,0.8975,bicubic
adv_inception_v3,29.8237,70.1763,47.8689,52.1311,23.83,299,0.875,bicubic
adv_inception_v3,29.8237,70.1763,47.8669,52.1331,23.83,299,0.875,bicubic
resnetblur50,29.6233,70.3767,48.2501,51.7499,25.56,224,0.875,bicubic
efficientnet_b2,29.6174,70.3826,48.7728,51.2272,9.11,260,0.875,bicubic
gluon_xception65,29.5545,70.4455,47.523,52.477,39.92,299,0.875,bicubic
resnext101_32x8d,29.4347,70.5653,48.482,51.518,88.79,224,0.875,bilinear
ssl_resnet50,29.4229,70.5771,49.773,50.227,25.56,224,0.875,bilinear
resnext50_32x4d,29.3285,70.6715,47.3953,52.6047,25.03,224,0.875,bicubic
ecaresnet50d_pruned,29.2165,70.7835,48.4604,51.5396,19.94,224,0.875,bicubic
ecaresnet50d_pruned,29.2165,70.7835,48.4584,51.5416,19.94,224,0.875,bicubic
tresnet_l_448,29.1674,70.8326,47.2342,52.7658,55.99,448,0.875,bilinear
gluon_inception_v3,29.1143,70.8857,46.9433,53.0567,23.83,299,0.875,bicubic
hrnet_w64,28.9866,71.0134,47.1399,52.8601,128.06,224,0.875,bilinear
@ -105,34 +113,49 @@ tf_efficientnet_cc_b0_4e,28.3106,71.6894,47.3639,52.6361,13.31,224,0.875,bicubic
mixnet_xl,28.293,71.707,46.7174,53.2826,11.9,224,0.875,bicubic
gluon_resnet50_v1d,28.236,71.764,45.8763,54.1237,25.58,224,0.875,bicubic
wide_resnet101_2,28.1063,71.8937,46.4246,53.5754,126.89,224,0.875,bilinear
gluon_resnet101_v1c,28.1023,71.8977,45.953,54.047,44.57,224,0.875,bicubic
densenet161,28.1004,71.8996,46.6506,53.3494,28.68,224,0.875,bicubic
gluon_resnet101_v1c,28.1004,71.8996,45.953,54.047,44.57,224,0.875,bicubic
regnetx_320,28.0788,71.9212,45.1198,54.8802,107.81,224,0.875,bicubic
regnety_320,28.0709,71.9291,45.4597,54.5403,145.05,224,0.875,bicubic
dpn68b,27.8842,72.1158,47.4602,52.5398,12.61,224,0.875,bicubic
tf_inception_v3,27.784,72.216,45.7132,54.2868,23.83,299,0.875,bicubic
regnetx_160,27.8253,72.1747,45.6307,54.3693,54.28,224,0.875,bicubic
tf_inception_v3,27.786,72.214,45.7113,54.2887,23.83,299,0.875,bicubic
res2net101_26w_4s,27.7742,72.2258,45.1709,54.8291,45.21,224,0.875,bilinear
regnety_160,27.6386,72.3614,45.5344,54.4656,83.59,224,0.875,bicubic
hrnet_w44,27.6248,72.3752,45.8311,54.1689,67.06,224,0.875,bilinear
inception_v3,27.5698,72.4302,45.2632,54.7368,27.16,299,0.875,bicubic
inception_v3,27.5698,72.4302,45.2613,54.7387,23.83,299,0.875,bicubic
regnetx_080,27.4106,72.5894,45.0215,54.9785,39.57,224,0.875,bicubic
hrnet_w30,27.3851,72.6149,46.5425,53.4575,37.71,224,0.875,bilinear
hrnet_w32,27.3772,72.6228,45.9903,54.0097,41.23,224,0.875,bilinear
gluon_resnet50_v1s,27.3281,72.6719,45.2141,54.7859,25.68,224,0.875,bicubic
gluon_resnet50_v1s,27.3261,72.6739,45.2141,54.7859,25.68,224,0.875,bicubic
densenet201,27.2613,72.7387,46.2241,53.7759,20.01,224,0.875,bicubic
regnety_064,27.2279,72.7721,44.8506,55.1494,30.58,224,0.875,bicubic
densenetblur121d,27.224,72.776,46.3067,53.6933,8.0,224,0.875,bicubic
efficientnet_b1_pruned,27.1945,72.8055,45.8724,54.1276,6.33,240,0.882,bicubic
res2net50_26w_8s,27.0726,72.9274,44.432,55.568,48.4,224,0.875,bilinear
dla102x,27.0235,72.9765,45.4951,54.5049,26.77,224,0.875,bilinear
resnet101,26.9685,73.0315,45.2357,54.7643,44.55,224,0.875,bilinear
resnext50d_32x4d,26.8742,73.1258,44.43,55.57,25.05,224,0.875,bicubic
regnetx_120,26.8644,73.1356,44.6816,55.3184,46.11,224,0.875,bicubic
seresnext101_32x4d,26.8192,73.1808,43.5084,56.4916,48.96,224,0.875,bilinear
densenet169,26.8113,73.1887,45.3752,54.6248,14.15,224,0.875,bicubic
regnetx_064,26.8015,73.1985,44.9036,55.0964,26.21,224,0.875,bicubic
regnety_120,26.7818,73.2182,44.4399,55.5601,51.82,224,0.875,bicubic
regnetx_032,26.7071,73.2929,45.2259,54.7741,15.3,224,0.875,bicubic
densenet121,26.6757,73.3243,45.8999,54.1001,7.98,224,0.875,bicubic
seresnet152,26.6718,73.3282,43.9447,56.0553,66.82,224,0.875,bilinear
tf_efficientnet_el,26.6226,73.3774,44.6364,55.3636,10.59,300,0.904,bicubic
efficientnet_es,26.6168,73.3832,45.106,54.894,5.44,224,0.875,bicubic
res2net50_26w_6s,26.5873,73.4127,43.9781,56.0219,37.05,224,0.875,bilinear
dla60x,26.5637,73.4363,45.0392,54.9608,17.65,224,0.875,bilinear
regnety_080,26.5146,73.4854,44.3554,55.6446,39.18,224,0.875,bicubic
tf_efficientnet_b0,26.491,73.509,45.6562,54.3438,5.29,224,0.875,bicubic
res2net50_14w_8s,26.4713,73.5287,44.3691,55.6309,25.06,224,0.875,bilinear
gluon_resnet50_v1b,26.432,73.568,44.0331,55.9669,25.56,224,0.875,bicubic
regnetx_040,26.2395,73.7605,44.4241,55.5759,22.12,224,0.875,bicubic
dpn68,26.1216,73.8784,44.2335,55.7665,12.61,224,0.875,bicubic
hrnet_w18,25.9761,74.0239,44.8093,55.1907,21.3,224,0.875,bilinear
regnety_040,25.9133,74.0867,43.8543,56.1457,20.65,224,0.875,bicubic
resnet34,25.8838,74.1162,43.9899,56.0101,21.8,224,0.875,bilinear
res2net50_26w_4s,25.87,74.13,43.1606,56.8394,25.7,224,0.875,bilinear
tresnet_m_448,25.8504,74.1496,42.8678,57.1322,31.39,448,0.875,bilinear
@ -148,21 +171,25 @@ tf_mixnet_l,25.42,74.58,42.5436,57.4564,7.33,224,0.875,bicubic
res2next50,25.3945,74.6055,42.4925,57.5075,24.67,224,0.875,bilinear
selecsls60b,25.3277,74.6723,43.5536,56.4464,32.77,224,0.875,bicubic
seresnet101,25.3277,74.6723,42.8285,57.1715,49.33,224,0.875,bilinear
regnety_032,25.3237,74.6763,42.9071,57.0929,19.44,224,0.875,bicubic
dla102,25.3139,74.6861,43.8366,56.1634,33.73,224,0.875,bilinear
wide_resnet50_2,25.31,74.69,42.1781,57.8219,68.88,224,0.875,bilinear
resnest14d,25.2825,74.7175,44.1215,55.8785,10.61,224,0.875,bilinear
seresnext50_32x4d,25.2176,74.7824,41.9383,58.0617,27.56,224,0.875,bilinear
res2net50_48w_2s,25.0231,74.9769,42.2017,57.7983,25.29,224,0.875,bilinear
efficientnet_b0,25.0152,74.9848,42.7853,57.2147,5.29,224,0.875,bicubic
gluon_resnet34_v1b,24.9484,75.0516,42.237,57.763,21.8,224,0.875,bicubic
mobilenetv2_120d,24.9327,75.0673,43.0643,56.9357,5.83,224,0.875,bicubic
dla60,24.9268,75.0732,43.3021,56.6979,22.33,224,0.875,bilinear
regnety_016,24.8187,75.1813,42.6261,57.3739,11.2,224,0.875,bicubic
tf_efficientnet_em,24.5338,75.4662,42.41,57.59,6.9,240,0.882,bicubic
tf_efficientnet_lite2,24.5299,75.4701,42.292,57.708,6.09,260,0.89,bicubic
skresnet18,24.4945,75.5055,42.5377,57.4623,11.96,224,0.875,bicubic
regnetx_016,24.4768,75.5232,42.5023,57.4977,9.19,224,0.875,bicubic
tf_efficientnet_lite0,24.3707,75.6293,42.5102,57.4898,4.65,224,0.875,bicubic
tv_resnet50,24.0917,75.9083,41.3095,58.6905,25.56,224,0.875,bilinear
seresnet34,24.0366,75.9634,41.8951,58.1049,21.96,224,0.875,bilinear
densenet121,23.846,76.154,41.9207,58.0793,7.98,224,0.875,bicubic
tv_densenet121,23.846,76.154,41.9207,58.0793,7.98,224,0.875,bicubic
tf_efficientnet_es,23.8244,76.1756,41.3193,58.6807,5.44,224,0.875,bicubic
mobilenetv2_140,23.7104,76.2896,41.4687,58.5313,6.11,224,0.875,bicubic
mixnet_m,23.7085,76.2915,41.1386,58.8614,5.01,224,0.875,bicubic
@ -176,26 +203,34 @@ mobilenetv3_large_100,22.665,77.335,40.7848,59.2152,5.48,224,0.875,bicubic
mobilenetv3_rw,22.6257,77.3743,40.3702,59.6298,5.48,224,0.875,bicubic
tf_mobilenetv3_large_100,22.5707,77.4293,39.7591,60.2409,5.48,224,0.875,bilinear
hrnet_w18_small_v2,22.3408,77.6592,39.8475,60.1525,15.6,224,0.875,bilinear
regnety_008,22.1128,77.8872,38.8964,61.1036,6.26,224,0.875,bicubic
seresnext26tn_32x4d,22.0028,77.9972,38.4916,61.5084,16.81,224,0.875,bicubic
seresnext26t_32x4d,21.9871,78.0129,38.5663,61.4337,16.82,224,0.875,bicubic
regnety_006,21.9733,78.0267,38.9534,61.0466,6.06,224,0.875,bicubic
regnetx_008,21.9517,78.0483,38.9298,61.0702,7.26,224,0.875,bicubic
resnet26d,21.9144,78.0856,38.6174,61.3826,16.01,224,0.875,bicubic
semnasnet_100,21.8967,78.1033,38.6036,61.3964,3.89,224,0.875,bicubic
regnetx_006,21.7434,78.2566,38.9043,61.0957,6.2,224,0.875,bicubic
gluon_resnet18_v1b,21.5449,78.4551,38.8728,61.1272,11.69,224,0.875,bicubic
fbnetc_100,21.4919,78.5081,38.1654,61.8346,5.57,224,0.875,bilinear
mnasnet_100,21.3504,78.6496,37.7154,62.2846,4.38,224,0.875,bicubic
resnet26,21.2954,78.7046,38.0161,61.9839,16,224,0.875,bicubic
resnet26,21.2954,78.7046,38.0161,61.9839,16.0,224,0.875,bicubic
ssl_resnet18,21.2777,78.7223,39.1145,60.8855,11.69,224,0.875,bilinear
mixnet_s,21.258,78.742,38.1929,61.8071,4.13,224,0.875,bicubic
seresnext26d_32x4d,21.2541,78.7459,37.2851,62.7149,16.81,224,0.875,bicubic
seresnext26_32x4d,21.093,78.907,37.6388,62.3612,16.79,224,0.875,bicubic
regnetx_004,20.8866,79.1134,37.5484,62.4516,5.16,224,0.875,bicubic
spnasnet_100,20.867,79.133,37.8923,62.1077,4.42,224,0.875,bilinear
seresnet18,20.8395,79.1605,37.6447,62.3553,11.78,224,0.875,bicubic
mobilenetv2_100,20.7609,79.2391,37.7508,62.2492,3.5,224,0.875,bicubic
tf_mixnet_s,20.4779,79.5221,36.6268,63.3732,4.13,224,0.875,bicubic
regnety_004,20.417,79.583,37.0296,62.9704,4.34,224,0.875,bicubic
tf_mobilenetv3_large_075,20.3718,79.6282,36.7702,63.2298,3.99,224,0.875,bilinear
hrnet_w18_small,20.3659,79.6341,37.0945,62.9055,13.19,224,0.875,bilinear
resnet18,20.2283,79.7717,37.2595,62.7405,11.69,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,20.1163,79.8837,36.9038,63.0962,3.92,224,0.875,bilinear
regnety_002,17.4596,82.5404,32.4432,67.5568,3.16,224,0.875,bicubic
regnetx_002,16.9506,83.0494,32.2349,67.7651,2.68,224,0.875,bicubic
dla60x_c,16.3257,83.6743,31.775,68.225,1.34,224,0.875,bilinear
tf_mobilenetv3_small_100,16.2334,83.7666,31.2229,68.7771,2.54,224,0.875,bilinear
tf_mobilenetv3_small_075,14.9404,85.0596,29.5722,70.4278,2.04,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
24 tf_efficientnet_b3_ns 39.5822 60.4178 61.4632 38.5368 12.23 300 0.904 bicubic
25 tf_efficientnet_b5 38.3285 61.6715 59.9285 40.0715 30.39 456 0.934 bicubic
26 tf_efficientnet_b3_ap 37.0611 62.9389 57.2363 42.7637 12.23 300 0.904 bicubic
27 resnest269e 36.67 63.33 56.8099 43.1901 110.93 416 0.875 bilinear
28 tf_efficientnet_b2_ns 36.1768 63.8232 57.5547 42.4453 9.11 260 0.89 bicubic
29 ecaresnet101d 36.0058 63.9942 56.1536 43.8464 44.57 224 0.875 bicubic
30 swsl_resnet18 35.8604 64.1396 58.439 58.437 41.561 41.563 11.69 224 0.875 bilinear
31 resnest200e 35.8466 64.1534 55.8903 44.1097 70.2 320 0.875 bilinear
32 resnest101e 35.3652 64.6348 55.7861 44.2139 48.28 256 0.875 bilinear
33 ssl_resnext101_32x16d 34.6087 65.3913 55.9139 44.0861 194.03 224 0.875 bilinear
34 resnest50d_4s2x40d 34.3611 65.6389 54.7112 45.2888 30.42 224 0.875 bicubic
35 tf_efficientnet_b1_ns 34.1528 65.8472 55.4894 44.5106 7.79 240 0.882 bicubic
36 tf_efficientnet_b4 34.0624 65.9376 54.216 45.784 19.34 380 0.922 bicubic
37 ssl_resnext101_32x8d 34.0211 65.9789 55.5935 44.4065 88.79 224 0.875 bilinear
38 tf_efficientnet_b6 34.0054 65.9946 54.5403 45.4597 43.04 528 0.942 bicubic
39 efficientnet_b3_pruned 33.9956 66.0044 54.1099 45.8901 9.86 300 0.904 bicubic
40 tresnet_xl 33.2587 66.7413 52.2962 47.7038 78.44 224 0.875 bilinear
41 resnest50d_1s4x24d 33.1388 66.8612 52.8307 47.1693 25.68 224 0.875 bicubic
42 resnest50d 32.9678 67.0322 52.701 47.299 27.48 224 0.875 bilinear
43 tf_efficientnet_b3 32.8637 67.1363 52.9623 47.0377 12.23 300 0.904 bicubic
44 inception_resnet_v2 32.736 67.264 50.6396 49.3604 55.84 299 0.8975 bicubic
45 gluon_resnet152_v1d 32.7301 67.2699 51.0837 48.9163 60.21 224 0.875 bicubic
51 gluon_resnet152_v1s 32.3312 67.6688 50.5394 49.4606 60.32 224 0.875 bicubic
52 gluon_seresnext101_64x4d 32.1936 67.8064 50.3272 49.6728 88.23 224 0.875 bicubic
53 gluon_seresnext101_32x4d 32.115 67.885 51.2409 48.7591 48.96 224 0.875 bicubic
54 efficientnet_b3a 31.7279 68.2721 51.3215 48.6785 12.23 320 1 1.0 bicubic
55 efficientnet_b3 31.5648 68.4352 51.2724 48.7276 12.23 300 0.904 bicubic
56 resnet50 31.5451 68.4549 50.1719 49.8281 25.56 224 0.875 bicubic
57 ssl_resnext101_32x4d 31.4331 68.5669 52.1154 47.8846 44.18 224 0.875 bilinear
68 gluon_resnext101_32x4d 30.8809 69.1191 48.537 51.463 44.18 224 0.875 bicubic
69 tf_efficientnet_lite4 30.8397 69.1603 50.3979 49.6021 13.01 380 0.92 bilinear
70 dpn107 30.6805 69.3195 48.8062 51.1938 86.92 224 0.875 bicubic
71 ese_vovnet39b 30.6766 69.3234 49.8929 50.1071 24.57 224 0.875 bicubic
72 tresnet_xl_448 30.6196 69.3804 49.0715 50.9285 78.44 448 0.875 bilinear
73 gluon_resnet152_v1b 30.6176 69.3824 48.5311 48.5292 51.4689 51.4708 60.19 224 0.875 bicubic
74 ssl_resnext50_32x4d 30.594 69.406 50.6534 49.3466 25.03 224 0.875 bilinear
75 gluon_resnet101_v1d 30.5095 69.4905 47.975 52.025 44.57 224 0.875 bicubic
76 efficientnet_b2a resnest26d 30.4231 30.4997 69.5769 69.5003 49.6748 50.677 50.3252 49.323 9.11 17.07 288 224 1 0.875 bicubic bilinear
77 efficientnet_b2a 30.4231 69.5769 49.6748 50.3252 9.11 288 1.0 bicubic
78 tf_efficientnet_b1_ap 30.4191 69.5809 49.5529 50.4471 7.79 240 0.882 bicubic
79 dpn98 30.0576 69.9424 48.2403 51.7597 61.57 224 0.875 bicubic
80 tf_efficientnet_b2 30.0202 69.9798 49.5903 50.4097 9.11 260 0.89 bicubic
83 dpn92 29.9691 70.0309 49.1599 50.8401 37.67 224 0.875 bicubic
84 gluon_senet154 29.8866 70.1134 47.8728 52.1272 115.09 224 0.875 bicubic
85 xception 29.8493 70.1507 48.6903 51.3097 22.86 299 0.8975 bicubic
86 adv_inception_v3 29.8237 70.1763 47.8689 47.8669 52.1311 52.1331 23.83 299 0.875 bicubic
87 resnetblur50 29.6233 70.3767 48.2501 51.7499 25.56 224 0.875 bicubic
88 efficientnet_b2 29.6174 70.3826 48.7728 51.2272 9.11 260 0.875 bicubic
89 gluon_xception65 29.5545 70.4455 47.523 52.477 39.92 299 0.875 bicubic
90 resnext101_32x8d 29.4347 70.5653 48.482 51.518 88.79 224 0.875 bilinear
91 ssl_resnet50 29.4229 70.5771 49.773 50.227 25.56 224 0.875 bilinear
92 resnext50_32x4d 29.3285 70.6715 47.3953 52.6047 25.03 224 0.875 bicubic
93 ecaresnet50d_pruned 29.2165 70.7835 48.4604 48.4584 51.5396 51.5416 19.94 224 0.875 bicubic
94 tresnet_l_448 29.1674 70.8326 47.2342 52.7658 55.99 448 0.875 bilinear
95 gluon_inception_v3 29.1143 70.8857 46.9433 53.0567 23.83 299 0.875 bicubic
96 hrnet_w64 28.9866 71.0134 47.1399 52.8601 128.06 224 0.875 bilinear
113 mixnet_xl 28.293 71.707 46.7174 53.2826 11.9 224 0.875 bicubic
114 gluon_resnet50_v1d 28.236 71.764 45.8763 54.1237 25.58 224 0.875 bicubic
115 wide_resnet101_2 28.1063 71.8937 46.4246 53.5754 126.89 224 0.875 bilinear
116 gluon_resnet101_v1c 28.1023 71.8977 45.953 54.047 44.57 224 0.875 bicubic
117 densenet161 28.1004 71.8996 46.6506 53.3494 28.68 224 0.875 bicubic
118 gluon_resnet101_v1c regnetx_320 28.1004 28.0788 71.8996 71.9212 45.953 45.1198 54.047 54.8802 44.57 107.81 224 0.875 bicubic
119 regnety_320 28.0709 71.9291 45.4597 54.5403 145.05 224 0.875 bicubic
120 dpn68b 27.8842 72.1158 47.4602 52.5398 12.61 224 0.875 bicubic
121 tf_inception_v3 regnetx_160 27.784 27.8253 72.216 72.1747 45.7132 45.6307 54.2868 54.3693 23.83 54.28 299 224 0.875 bicubic
122 tf_inception_v3 27.786 72.214 45.7113 54.2887 23.83 299 0.875 bicubic
123 res2net101_26w_4s 27.7742 72.2258 45.1709 54.8291 45.21 224 0.875 bilinear
124 regnety_160 27.6386 72.3614 45.5344 54.4656 83.59 224 0.875 bicubic
125 hrnet_w44 27.6248 72.3752 45.8311 54.1689 67.06 224 0.875 bilinear
126 inception_v3 27.5698 72.4302 45.2632 45.2613 54.7368 54.7387 27.16 23.83 299 0.875 bicubic
127 regnetx_080 27.4106 72.5894 45.0215 54.9785 39.57 224 0.875 bicubic
128 hrnet_w30 27.3851 72.6149 46.5425 53.4575 37.71 224 0.875 bilinear
129 hrnet_w32 27.3772 72.6228 45.9903 54.0097 41.23 224 0.875 bilinear
130 gluon_resnet50_v1s 27.3281 27.3261 72.6719 72.6739 45.2141 54.7859 25.68 224 0.875 bicubic
131 densenet201 27.2613 72.7387 46.2241 53.7759 20.01 224 0.875 bicubic
132 regnety_064 27.2279 72.7721 44.8506 55.1494 30.58 224 0.875 bicubic
133 densenetblur121d 27.224 72.776 46.3067 53.6933 8.0 224 0.875 bicubic
134 efficientnet_b1_pruned 27.1945 72.8055 45.8724 54.1276 6.33 240 0.882 bicubic
135 res2net50_26w_8s 27.0726 72.9274 44.432 55.568 48.4 224 0.875 bilinear
136 dla102x 27.0235 72.9765 45.4951 54.5049 26.77 224 0.875 bilinear
137 resnet101 26.9685 73.0315 45.2357 54.7643 44.55 224 0.875 bilinear
138 resnext50d_32x4d 26.8742 73.1258 44.43 55.57 25.05 224 0.875 bicubic
139 regnetx_120 26.8644 73.1356 44.6816 55.3184 46.11 224 0.875 bicubic
140 seresnext101_32x4d 26.8192 73.1808 43.5084 56.4916 48.96 224 0.875 bilinear
141 densenet169 26.8113 73.1887 45.3752 54.6248 14.15 224 0.875 bicubic
142 regnetx_064 26.8015 73.1985 44.9036 55.0964 26.21 224 0.875 bicubic
143 regnety_120 26.7818 73.2182 44.4399 55.5601 51.82 224 0.875 bicubic
144 regnetx_032 26.7071 73.2929 45.2259 54.7741 15.3 224 0.875 bicubic
145 densenet121 26.6757 73.3243 45.8999 54.1001 7.98 224 0.875 bicubic
146 seresnet152 26.6718 73.3282 43.9447 56.0553 66.82 224 0.875 bilinear
147 tf_efficientnet_el 26.6226 73.3774 44.6364 55.3636 10.59 300 0.904 bicubic
148 efficientnet_es 26.6168 73.3832 45.106 54.894 5.44 224 0.875 bicubic
149 res2net50_26w_6s 26.5873 73.4127 43.9781 56.0219 37.05 224 0.875 bilinear
150 dla60x 26.5637 73.4363 45.0392 54.9608 17.65 224 0.875 bilinear
151 regnety_080 26.5146 73.4854 44.3554 55.6446 39.18 224 0.875 bicubic
152 tf_efficientnet_b0 26.491 73.509 45.6562 54.3438 5.29 224 0.875 bicubic
153 res2net50_14w_8s 26.4713 73.5287 44.3691 55.6309 25.06 224 0.875 bilinear
154 gluon_resnet50_v1b 26.432 73.568 44.0331 55.9669 25.56 224 0.875 bicubic
155 regnetx_040 26.2395 73.7605 44.4241 55.5759 22.12 224 0.875 bicubic
156 dpn68 26.1216 73.8784 44.2335 55.7665 12.61 224 0.875 bicubic
157 hrnet_w18 25.9761 74.0239 44.8093 55.1907 21.3 224 0.875 bilinear
158 regnety_040 25.9133 74.0867 43.8543 56.1457 20.65 224 0.875 bicubic
159 resnet34 25.8838 74.1162 43.9899 56.0101 21.8 224 0.875 bilinear
160 res2net50_26w_4s 25.87 74.13 43.1606 56.8394 25.7 224 0.875 bilinear
161 tresnet_m_448 25.8504 74.1496 42.8678 57.1322 31.39 448 0.875 bilinear
171 res2next50 25.3945 74.6055 42.4925 57.5075 24.67 224 0.875 bilinear
172 selecsls60b 25.3277 74.6723 43.5536 56.4464 32.77 224 0.875 bicubic
173 seresnet101 25.3277 74.6723 42.8285 57.1715 49.33 224 0.875 bilinear
174 regnety_032 25.3237 74.6763 42.9071 57.0929 19.44 224 0.875 bicubic
175 dla102 25.3139 74.6861 43.8366 56.1634 33.73 224 0.875 bilinear
176 wide_resnet50_2 25.31 74.69 42.1781 57.8219 68.88 224 0.875 bilinear
177 resnest14d 25.2825 74.7175 44.1215 55.8785 10.61 224 0.875 bilinear
178 seresnext50_32x4d 25.2176 74.7824 41.9383 58.0617 27.56 224 0.875 bilinear
179 res2net50_48w_2s 25.0231 74.9769 42.2017 57.7983 25.29 224 0.875 bilinear
180 efficientnet_b0 25.0152 74.9848 42.7853 57.2147 5.29 224 0.875 bicubic
181 gluon_resnet34_v1b 24.9484 75.0516 42.237 57.763 21.8 224 0.875 bicubic
182 mobilenetv2_120d 24.9327 75.0673 43.0643 56.9357 5.83 224 0.875 bicubic
183 dla60 24.9268 75.0732 43.3021 56.6979 22.33 224 0.875 bilinear
184 regnety_016 24.8187 75.1813 42.6261 57.3739 11.2 224 0.875 bicubic
185 tf_efficientnet_em 24.5338 75.4662 42.41 57.59 6.9 240 0.882 bicubic
186 tf_efficientnet_lite2 24.5299 75.4701 42.292 57.708 6.09 260 0.89 bicubic
187 skresnet18 24.4945 75.5055 42.5377 57.4623 11.96 224 0.875 bicubic
188 regnetx_016 24.4768 75.5232 42.5023 57.4977 9.19 224 0.875 bicubic
189 tf_efficientnet_lite0 24.3707 75.6293 42.5102 57.4898 4.65 224 0.875 bicubic
190 tv_resnet50 24.0917 75.9083 41.3095 58.6905 25.56 224 0.875 bilinear
191 seresnet34 24.0366 75.9634 41.8951 58.1049 21.96 224 0.875 bilinear
192 densenet121 tv_densenet121 23.846 76.154 41.9207 58.0793 7.98 224 0.875 bicubic
193 tf_efficientnet_es 23.8244 76.1756 41.3193 58.6807 5.44 224 0.875 bicubic
194 mobilenetv2_140 23.7104 76.2896 41.4687 58.5313 6.11 224 0.875 bicubic
195 mixnet_m 23.7085 76.2915 41.1386 58.8614 5.01 224 0.875 bicubic
203 mobilenetv3_rw 22.6257 77.3743 40.3702 59.6298 5.48 224 0.875 bicubic
204 tf_mobilenetv3_large_100 22.5707 77.4293 39.7591 60.2409 5.48 224 0.875 bilinear
205 hrnet_w18_small_v2 22.3408 77.6592 39.8475 60.1525 15.6 224 0.875 bilinear
206 regnety_008 22.1128 77.8872 38.8964 61.1036 6.26 224 0.875 bicubic
207 seresnext26tn_32x4d 22.0028 77.9972 38.4916 61.5084 16.81 224 0.875 bicubic
208 seresnext26t_32x4d 21.9871 78.0129 38.5663 61.4337 16.82 224 0.875 bicubic
209 regnety_006 21.9733 78.0267 38.9534 61.0466 6.06 224 0.875 bicubic
210 regnetx_008 21.9517 78.0483 38.9298 61.0702 7.26 224 0.875 bicubic
211 resnet26d 21.9144 78.0856 38.6174 61.3826 16.01 224 0.875 bicubic
212 semnasnet_100 21.8967 78.1033 38.6036 61.3964 3.89 224 0.875 bicubic
213 regnetx_006 21.7434 78.2566 38.9043 61.0957 6.2 224 0.875 bicubic
214 gluon_resnet18_v1b 21.5449 78.4551 38.8728 61.1272 11.69 224 0.875 bicubic
215 fbnetc_100 21.4919 78.5081 38.1654 61.8346 5.57 224 0.875 bilinear
216 mnasnet_100 21.3504 78.6496 37.7154 62.2846 4.38 224 0.875 bicubic
217 resnet26 21.2954 78.7046 38.0161 61.9839 16 16.0 224 0.875 bicubic
218 ssl_resnet18 21.2777 78.7223 39.1145 60.8855 11.69 224 0.875 bilinear
219 mixnet_s 21.258 78.742 38.1929 61.8071 4.13 224 0.875 bicubic
220 seresnext26d_32x4d 21.2541 78.7459 37.2851 62.7149 16.81 224 0.875 bicubic
221 seresnext26_32x4d 21.093 78.907 37.6388 62.3612 16.79 224 0.875 bicubic
222 regnetx_004 20.8866 79.1134 37.5484 62.4516 5.16 224 0.875 bicubic
223 spnasnet_100 20.867 79.133 37.8923 62.1077 4.42 224 0.875 bilinear
224 seresnet18 20.8395 79.1605 37.6447 62.3553 11.78 224 0.875 bicubic
225 mobilenetv2_100 20.7609 79.2391 37.7508 62.2492 3.5 224 0.875 bicubic
226 tf_mixnet_s 20.4779 79.5221 36.6268 63.3732 4.13 224 0.875 bicubic
227 regnety_004 20.417 79.583 37.0296 62.9704 4.34 224 0.875 bicubic
228 tf_mobilenetv3_large_075 20.3718 79.6282 36.7702 63.2298 3.99 224 0.875 bilinear
229 hrnet_w18_small 20.3659 79.6341 37.0945 62.9055 13.19 224 0.875 bilinear
230 resnet18 20.2283 79.7717 37.2595 62.7405 11.69 224 0.875 bilinear
231 tf_mobilenetv3_large_minimal_100 20.1163 79.8837 36.9038 63.0962 3.92 224 0.875 bilinear
232 regnety_002 17.4596 82.5404 32.4432 67.5568 3.16 224 0.875 bicubic
233 regnetx_002 16.9506 83.0494 32.2349 67.7651 2.68 224 0.875 bicubic
234 dla60x_c 16.3257 83.6743 31.775 68.225 1.34 224 0.875 bilinear
235 tf_mobilenetv3_small_100 16.2334 83.7666 31.2229 68.7771 2.54 224 0.875 bilinear
236 tf_mobilenetv3_small_075 14.9404 85.0596 29.5722 70.4278 2.04 224 0.875 bilinear
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