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set precision=2 in param_count

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pull/183/head
KushajveerSingh 4 years ago
parent 6526ccb4a7
commit 5699e8429f
4 changed files with 692 additions and 690 deletions
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2
results/generate_csv_results.py
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@ -44,6 +44,8 @@ def diff(csv_file):
results[csv_file]['top1_diff'] = top1_diff
results[csv_file]['top5_diff'] = top5_diff
results[csv_file]['param_count'] = results[csv_file]['param_count'].map('{:,.2f}'.format)
results[csv_file].to_csv(csv_file, index=False, float_format='%.3f')
for csv_file in results:

476
results/results-imagenet-a.csv
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@ -1,239 +1,239 @@
model,rank_diff,top1,top1_diff,top1_err,top5,top5_diff,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns_475,+1,62.387,-25.847,37.613,87.107,-11.439,12.893,480.310,475,0.936,bicubic
tf_efficientnet_l2_ns,-1,62.027,-26.325,37.973,87.960,-10.688,12.040,480.310,800,0.960,bicubic
tf_efficientnet_b7_ns,=,45.720,-41.118,54.280,74.200,-23.894,25.800,66.350,600,0.949,bicubic
ig_resnext101_32x48d,+2,41.573,-43.869,58.427,66.613,-30.959,33.387,828.410,224,0.875,bilinear
tf_efficientnet_b6_ns,-1,40.427,-46.035,59.573,68.840,-29.044,31.160,43.040,528,0.942,bicubic
ig_resnext101_32x32d,+5,39.413,-45.679,60.587,63.760,-33.676,36.240,468.530,224,0.875,bilinear
tf_efficientnet_b5_ns,-2,39.013,-47.067,60.987,68.040,-29.714,31.960,30.390,456,0.934,bicubic
ig_resnext101_32x16d,+9,36.053,-48.123,63.947,59.040,-38.156,40.960,194.030,224,0.875,bilinear
swsl_resnext101_32x8d,+5,32.067,-52.227,67.933,59.400,-37.774,40.600,88.790,224,0.875,bilinear
tf_efficientnet_b4_ns,-1,30.800,-54.358,69.200,59.440,-38.028,40.560,19.340,380,0.922,bicubic
tf_efficientnet_b8_ap,-3,29.600,-55.768,70.400,56.933,-40.361,43.067,87.410,672,0.954,bicubic
tf_efficientnet_b8,-5,29.373,-55.997,70.627,57.067,-40.325,42.933,87.410,672,0.954,bicubic
ig_resnext101_32x8d,+16,28.707,-53.981,71.293,52.320,-44.312,47.680,88.790,224,0.875,bilinear
swsl_resnext101_32x16d,+8,27.947,-55.391,72.053,52.320,-44.532,47.680,194.030,224,0.875,bilinear
tf_efficientnet_b7_ap,-5,27.813,-57.305,72.187,54.773,-42.479,45.227,66.350,600,0.949,bicubic
resnest269e,=,27.613,-56.573,72.387,53.107,-43.815,46.893,110.930,416,0.875,bilinear
tresnet_xl_448,+8,26.880,-56.168,73.120,51.093,-45.081,48.907,78.440,448,0.875,bilinear
resnest200e,+2,26.427,-57.407,73.573,51.933,-44.905,48.067,70.200,320,0.875,bilinear
swsl_resnext101_32x4d,+5,25.347,-57.887,74.653,49.627,-47.129,50.373,44.180,224,0.875,bilinear
tf_efficientnet_b7,-8,25.253,-59.679,74.747,51.667,-45.541,48.333,66.350,600,0.949,bicubic
tresnet_l_448,+11,24.573,-57.695,75.427,48.600,-47.378,51.400,55.990,448,0.875,bilinear
tf_efficientnet_b6_ap,-9,24.347,-60.439,75.653,50.427,-46.711,49.573,43.040,528,0.942,bicubic
tf_efficientnet_b6,-5,20.373,-63.739,79.627,45.493,-51.391,54.507,43.040,528,0.942,bicubic
tresnet_m_448,+15,19.680,-62.032,80.320,42.760,-52.810,57.240,31.390,448,0.875,bilinear
tf_efficientnet_b5_ap,-10,19.467,-64.787,80.533,44.720,-52.256,55.280,30.390,456,0.934,bicubic
tf_efficientnet_b3_ns,-7,19.413,-64.641,80.587,44.627,-52.285,55.373,12.230,300,0.904,bicubic
swsl_resnext50_32x4d,+6,18.067,-64.113,81.933,41.867,-54.361,58.133,25.030,224,0.875,bilinear
ssl_resnext101_32x16d,+9,17.213,-64.623,82.787,39.947,-56.147,60.053,194.030,224,0.875,bilinear
tf_efficientnet_b5,-8,17.067,-66.749,82.933,41.907,-54.843,58.093,30.390,456,0.934,bicubic
resnest101e,-3,16.493,-66.397,83.507,40.747,-55.577,59.253,48.280,256,0.875,bilinear
swsl_resnet50,+17,15.987,-65.193,84.013,38.853,-57.133,61.147,25.560,224,0.875,bilinear
ssl_resnext101_32x8d,+9,15.120,-66.506,84.880,37.720,-58.318,62.280,88.790,224,0.875,bilinear
tf_efficientnet_b4_ap,-10,13.680,-69.568,86.320,35.920,-60.468,64.080,19.340,380,0.922,bicubic
ecaresnet101d,=,13.307,-68.859,86.693,35.533,-60.519,64.467,44.570,224,0.875,bicubic
tf_efficientnet_b4,-9,13.307,-69.709,86.693,35.520,-60.778,64.480,19.340,380,0.922,bicubic
pnasnet5large,-8,13.080,-69.660,86.920,32.213,-63.827,67.787,86.060,331,0.875,bicubic
nasnetalarge,-7,12.573,-69.985,87.427,33.413,-62.623,66.587,88.750,331,0.875,bicubic
ssl_resnext101_32x4d,+15,12.120,-68.808,87.880,31.893,-63.835,68.107,44.180,224,0.875,bilinear
tf_efficientnet_b2_ns,-8,11.787,-70.593,88.213,32.960,-63.292,67.040,9.110,260,0.890,bicubic
gluon_senet154,+7,9.907,-71.317,90.093,26.453,-68.903,73.547,115.090,224,0.875,bicubic
resnest50d_4s2x40d,+8,9.787,-71.327,90.213,29.147,-66.421,70.853,30.420,224,0.875,bicubic
ssl_resnext50_32x4d,+30,9.667,-70.661,90.333,28.427,-66.977,71.573,25.030,224,0.875,bilinear
senet154,+3,9.453,-71.851,90.547,26.440,-69.058,73.560,115.090,224,0.875,bilinear
tresnet_xl,-9,9.307,-72.763,90.693,28.413,-67.515,71.587,78.440,224,0.875,bilinear
efficientnet_b3a,-9,9.267,-72.607,90.733,28.427,-67.413,71.573,12.230,320,1.000,bicubic
efficientnet_b3,-3,8.947,-72.551,91.053,28.213,-67.505,71.787,12.230,300,0.904,bicubic
inception_v4,+32,8.920,-71.236,91.080,24.707,-70.267,75.293,42.680,299,0.875,bicubic
gluon_seresnext101_64x4d,+7,8.867,-72.023,91.133,27.320,-67.984,72.680,88.230,224,0.875,bicubic
tf_efficientnet_b1_ns,-4,8.613,-72.773,91.387,27.280,-68.458,72.720,7.790,240,0.882,bicubic
resnest50d_1s4x24d,+1,8.520,-72.470,91.480,26.787,-68.535,73.213,25.680,224,0.875,bicubic
ecaresnet50d,+10,8.507,-72.097,91.493,26.267,-69.055,73.733,25.580,224,0.875,bicubic
gluon_xception65,+45,8.467,-71.137,91.533,25.133,-69.615,74.867,39.920,299,0.875,bicubic
gluon_resnet152_v1d,+11,8.413,-72.057,91.587,23.453,-71.753,76.547,60.210,224,0.875,bicubic
inception_resnet_v2,+11,8.160,-72.300,91.840,23.533,-71.777,76.467,55.840,299,0.897,bicubic
tf_efficientnet_b3_ap,-17,8.133,-73.695,91.867,26.280,-69.344,73.720,12.230,300,0.904,bicubic
gluon_seresnext101_32x4d,-2,8.040,-72.862,91.960,24.733,-70.561,75.267,48.960,224,0.875,bicubic
tf_efficientnet_b3,-17,8.013,-73.627,91.987,25.467,-70.255,74.533,12.230,300,0.904,bicubic
ens_adv_inception_resnet_v2,+25,7.987,-71.989,92.013,23.827,-71.119,76.173,55.840,299,0.897,bicubic
tf_efficientnet_lite4,-17,7.933,-73.595,92.067,25.560,-70.108,74.440,13.010,380,0.920,bilinear
tresnet_l,-16,7.880,-73.608,92.120,25.187,-70.441,74.813,55.990,224,0.875,bilinear
gluon_resnet152_v1s,-11,7.867,-73.145,92.133,23.173,-72.243,76.827,60.320,224,0.875,bicubic
resnest50d,-10,7.747,-73.211,92.253,25.293,-70.089,74.707,27.480,224,0.875,bilinear
gluon_resnext101_64x4d,-1,7.707,-72.895,92.293,23.240,-71.754,76.760,83.460,224,0.875,bicubic
skresnext50_32x4d,+16,7.080,-73.070,92.920,23.027,-71.617,76.973,27.480,224,0.875,bicubic
ssl_resnet50,+45,7.000,-72.228,93.000,23.920,-70.912,76.080,25.560,224,0.875,bilinear
regnety_320,-9,6.920,-73.894,93.080,23.040,-72.200,76.960,145.050,224,0.875,bicubic
ecaresnet101d_pruned,-9,6.800,-74.008,93.200,24.200,-71.428,75.800,24.880,224,0.875,bicubic
ecaresnetlight,-2,6.760,-73.694,93.240,22.560,-72.696,77.440,30.160,224,0.875,bicubic
efficientnet_b2a,-9,6.760,-73.848,93.240,23.493,-71.817,76.507,9.110,288,1.000,bicubic
seresnext101_32x4d,+7,6.413,-73.823,93.587,21.520,-73.508,78.480,48.960,224,0.875,bilinear
efficientnet_b2,-2,6.093,-74.309,93.907,21.933,-73.143,78.067,9.110,260,0.875,bicubic
gluon_resnext101_32x4d,-1,6.040,-74.294,93.960,21.133,-73.793,78.867,44.180,224,0.875,bicubic
regnetx_320,+3,5.987,-74.259,94.013,19.880,-75.142,80.120,107.810,224,0.875,bicubic
ese_vovnet39b,+29,5.973,-73.347,94.027,21.293,-73.417,78.707,24.570,224,0.875,bicubic
gluon_resnet101_v1d,-7,5.920,-74.504,94.080,19.947,-75.073,80.053,44.570,224,0.875,bicubic
gluon_seresnext50_32x4d,+10,5.787,-74.125,94.213,21.427,-73.391,78.573,27.560,224,0.875,bicubic
efficientnet_b3_pruned,-21,5.733,-75.123,94.267,21.360,-73.880,78.640,9.860,300,0.904,bicubic
regnety_160,-3,5.640,-74.660,94.360,19.347,-75.615,80.653,83.590,224,0.875,bicubic
gluon_inception_v3,+47,5.507,-73.297,94.493,19.947,-74.433,80.053,23.830,299,0.875,bicubic
mixnet_xl,-17,5.480,-74.998,94.520,21.093,-73.839,78.907,11.900,224,0.875,bicubic
tresnet_m,-22,5.440,-75.356,94.560,19.960,-74.896,80.040,31.390,224,0.875,bilinear
regnety_120,-12,5.413,-74.969,94.587,19.853,-75.275,80.147,51.820,224,0.875,bicubic
gluon_resnet101_v1s,-9,5.280,-75.020,94.720,19.547,-75.603,80.453,44.670,224,0.875,bicubic
hrnet_w64,+16,5.133,-74.339,94.867,19.453,-75.197,80.547,128.060,224,0.875,bilinear
regnety_080,+2,5.000,-74.868,95.000,18.600,-76.232,81.400,39.180,224,0.875,bicubic
efficientnet_b2_pruned,-2,4.947,-74.971,95.053,19.347,-75.501,80.653,8.310,260,0.890,bicubic
dpn107,-9,4.880,-75.284,95.120,17.613,-77.299,82.387,86.920,224,0.875,bicubic
gluon_resnet152_v1c,-3,4.867,-75.049,95.133,17.773,-77.069,82.227,60.210,224,0.875,bicubic
adv_inception_v3,+76,4.747,-72.833,95.253,17.547,-76.177,82.453,23.830,299,0.875,bicubic
dla102x2,+11,4.747,-74.705,95.253,18.960,-75.684,81.040,41.750,224,0.875,bilinear
tf_inception_v3,+68,4.747,-73.109,95.253,17.747,-75.897,82.253,23.830,299,0.875,bicubic
hrnet_w48,+13,4.720,-74.590,95.280,18.440,-76.078,81.560,77.470,224,0.875,bilinear
dpn131,-4,4.640,-75.188,95.360,16.867,-77.837,83.133,79.250,224,0.875,bicubic
gluon_resnet152_v1b,=,4.587,-75.105,95.413,16.533,-78.205,83.467,60.190,224,0.875,bicubic
ecaresnet50d_pruned,-3,4.547,-75.171,95.453,18.547,-76.343,81.453,19.940,224,0.875,bicubic
dpn92,-14,4.493,-75.523,95.507,18.200,-76.638,81.800,37.670,224,0.875,bicubic
hrnet_w44,+25,4.493,-74.401,95.507,17.347,-77.023,82.653,67.060,224,0.875,bilinear
regnetx_160,-10,4.373,-75.493,95.627,17.093,-77.735,82.907,54.280,224,0.875,bicubic
resnext50d_32x4d,-4,4.347,-75.327,95.653,17.773,-77.095,82.227,25.050,224,0.875,bicubic
xception,+18,4.347,-74.701,95.653,16.760,-77.632,83.240,22.860,299,0.897,bicubic
seresnext50_32x4d,+14,4.280,-74.796,95.720,17.813,-76.621,82.187,27.560,224,0.875,bilinear
resnext50_32x4d,-11,4.253,-75.509,95.747,18.387,-76.213,81.613,25.030,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,+4,4.240,-75.058,95.760,15.947,-78.417,84.053,39.720,240,0.882,bicubic
regnety_064,-11,4.227,-75.485,95.773,17.187,-77.587,82.813,30.580,224,0.875,bicubic
tf_efficientnet_el,-38,4.227,-76.221,95.773,18.173,-76.987,81.827,10.590,300,0.904,bicubic
inception_v3,+64,4.187,-73.249,95.813,16.293,-77.183,83.707,23.830,299,0.875,bicubic
tf_efficientnet_b2_ap,-34,4.173,-76.133,95.827,18.320,-76.708,81.680,9.110,260,0.890,bicubic
seresnet152,+24,4.147,-74.511,95.853,15.893,-78.481,84.107,66.820,224,0.875,bilinear
resnext101_32x8d,-5,4.133,-75.179,95.867,16.987,-77.539,83.013,88.790,224,0.875,bilinear
tf_efficientnet_b0_ns,+23,4.133,-74.519,95.867,17.680,-76.688,82.320,5.290,224,0.875,bicubic
dpn98,-15,4.080,-75.556,95.920,15.947,-78.647,84.053,61.570,224,0.875,bicubic
res2net101_26w_4s,+2,4.000,-75.196,96.000,14.827,-79.613,85.173,45.210,224,0.875,bilinear
efficientnet_b1,+17,3.973,-74.725,96.027,15.760,-78.392,84.240,7.790,240,0.875,bicubic
tf_efficientnet_lite3,-24,3.933,-75.879,96.067,16.520,-78.394,83.480,8.200,300,0.904,bilinear
tf_efficientnet_b2,-34,3.773,-76.317,96.227,16.613,-78.293,83.387,9.110,260,0.890,bicubic
regnety_040,-5,3.747,-75.475,96.253,16.400,-78.256,83.600,20.650,224,0.875,bicubic
hrnet_w30,+31,3.680,-74.516,96.320,15.573,-78.647,84.427,37.710,224,0.875,bilinear
hrnet_w32,+23,3.653,-74.795,96.347,14.787,-79.401,85.213,41.230,224,0.875,bilinear
hrnet_w40,+2,3.653,-75.281,96.347,15.440,-79.026,84.560,57.560,224,0.875,bilinear
regnetx_120,-22,3.627,-75.963,96.373,15.973,-78.767,84.027,46.110,224,0.875,bicubic
seresnext26t_32x4d,+34,3.613,-74.375,96.387,15.893,-77.813,84.107,16.820,224,0.875,bicubic
tf_efficientnet_b1_ap,-13,3.547,-75.731,96.453,15.067,-79.241,84.933,7.790,240,0.882,bicubic
seresnext26tn_32x4d,+31,3.507,-74.483,96.493,15.760,-77.988,84.240,16.810,224,0.875,bicubic
resnest26d,+13,3.493,-74.989,96.507,15.667,-78.623,84.333,17.070,224,0.875,bilinear
dla169,+4,3.467,-75.243,96.533,15.333,-79.005,84.667,53.990,224,0.875,bilinear
gluon_resnext50_32x4d,-24,3.453,-75.903,96.547,16.120,-78.304,83.880,25.030,224,0.875,bicubic
mixnet_l,-7,3.440,-75.536,96.560,15.307,-78.877,84.693,7.330,224,0.875,bicubic
seresnext26d_32x4d,+36,3.400,-74.204,96.600,16.160,-77.452,83.840,16.810,224,0.875,bicubic
res2net50_26w_8s,-17,3.333,-75.877,96.667,14.040,-80.322,85.960,48.400,224,0.875,bilinear
resnetblur50,-22,3.333,-75.957,96.667,15.587,-79.045,84.413,25.560,224,0.875,bicubic
dla102x,+4,3.307,-75.201,96.693,15.120,-79.114,84.880,26.770,224,0.875,bilinear
gluon_resnet101_v1c,-33,3.307,-76.237,96.693,14.120,-80.466,85.880,44.570,224,0.875,bicubic
seresnet101,+10,3.253,-75.143,96.747,15.453,-78.805,84.547,49.330,224,0.875,bilinear
densenetblur121d,+55,3.067,-73.509,96.933,14.280,-78.910,85.720,8.000,224,0.875,bicubic
dla60_res2next,+5,3.040,-75.408,96.960,14.453,-79.691,85.547,17.330,224,0.875,bilinear
regnety_032,-13,3.027,-75.843,96.973,14.240,-80.162,85.760,19.440,224,0.875,bicubic
gluon_resnet50_v1d,-21,3.013,-76.061,96.987,14.627,-79.849,85.373,25.580,224,0.875,bicubic
wide_resnet101_2,-14,2.960,-75.886,97.040,13.947,-80.337,86.053,126.890,224,0.875,bilinear
efficientnet_b1_pruned,+7,2.933,-75.309,97.067,14.413,-79.419,85.587,6.330,240,0.882,bicubic
gluon_resnet50_v1s,-12,2.920,-75.792,97.080,13.120,-81.122,86.880,25.680,224,0.875,bicubic
tf_efficientnet_b1,-16,2.867,-75.965,97.133,13.507,-80.689,86.493,7.790,240,0.882,bicubic
res2net50_26w_6s,-8,2.840,-75.734,97.160,12.600,-81.526,87.400,37.050,224,0.875,bilinear
efficientnet_b0,+18,2.813,-74.879,97.187,13.907,-79.625,86.093,5.290,224,0.875,bicubic
tf_mixnet_l,-17,2.813,-75.957,97.187,13.040,-80.964,86.960,7.330,224,0.875,bicubic
regnetx_064,-28,2.787,-76.279,97.213,13.880,-80.576,86.120,26.210,224,0.875,bicubic
dpn68b,+21,2.707,-74.807,97.293,12.640,-81.182,87.360,12.610,224,0.875,bicubic
selecsls60b,-5,2.693,-75.725,97.307,13.173,-80.993,86.827,32.770,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,+10,2.680,-75.228,97.320,12.773,-80.883,87.227,24.010,224,0.875,bicubic
dla60_res2net,-11,2.640,-75.832,97.360,14.200,-80.004,85.800,21.150,224,0.875,bilinear
gluon_resnet101_v1b,-44,2.627,-76.677,97.373,13.573,-80.951,86.427,44.550,224,0.875,bicubic
dla60x,-6,2.613,-75.629,97.387,13.333,-80.689,86.667,17.650,224,0.875,bilinear
mixnet_m,+25,2.547,-74.709,97.453,12.427,-80.991,87.573,5.010,224,0.875,bicubic
skresnet34,+31,2.520,-74.390,97.480,12.773,-80.543,87.227,22.280,224,0.875,bicubic
efficientnet_es,-3,2.373,-75.681,97.627,13.880,-80.050,86.120,5.440,224,0.875,bicubic
resnet152,-11,2.360,-75.952,97.640,12.200,-81.846,87.800,60.190,224,0.875,bilinear
regnetx_080,-43,2.347,-76.851,97.653,12.693,-81.865,87.307,39.570,224,0.875,bicubic
swsl_resnet18,+64,2.333,-70.953,97.667,11.213,-80.519,88.787,11.690,224,0.875,bilinear
wide_resnet50_2,-19,2.320,-76.148,97.680,11.800,-82.286,88.200,68.880,224,0.875,bilinear
seresnext26_32x4d,+20,2.293,-74.807,97.707,12.440,-80.870,87.560,16.790,224,0.875,bicubic
hrnet_w18,+26,2.267,-74.489,97.733,11.853,-81.589,88.147,21.300,224,0.875,bilinear
dla102,-9,2.253,-75.773,97.747,12.120,-81.830,87.880,33.730,224,0.875,bilinear
resnet50,-43,2.227,-76.805,97.773,11.333,-83.051,88.667,25.560,224,0.875,bicubic
regnety_016,-3,2.173,-75.679,97.827,11.440,-82.276,88.560,11.200,224,0.875,bicubic
regnetx_040,-28,2.160,-76.326,97.840,11.800,-82.442,88.200,22.120,224,0.875,bicubic
resnest14d,+36,2.147,-73.357,97.853,10.400,-82.114,89.600,10.610,224,0.875,bilinear
selecsls60,-10,2.080,-75.902,97.920,12.840,-80.992,87.160,30.670,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,+6,2.080,-75.224,97.920,10.973,-82.359,89.027,13.310,224,0.875,bicubic
res2next50,-21,2.067,-76.175,97.933,11.453,-82.439,88.547,24.670,224,0.875,bilinear
seresnet50,-7,2.067,-75.569,97.933,12.267,-81.485,87.733,28.090,224,0.875,bilinear
densenet161,+2,1.973,-75.375,98.027,10.587,-83.061,89.413,28.680,224,0.875,bicubic
tf_efficientnet_b0_ap,+9,1.960,-75.124,98.040,10.800,-82.454,89.200,5.290,224,0.875,bicubic
regnetx_032,-23,1.920,-76.246,98.080,10.947,-83.133,89.053,15.300,224,0.875,bicubic
tf_efficientnet_em,-42,1.813,-76.885,98.187,11.627,-82.693,88.373,6.900,240,0.882,bicubic
tf_mixnet_m,+8,1.813,-75.137,98.187,10.547,-82.609,89.453,5.010,224,0.875,bicubic
tf_efficientnet_lite2,-6,1.800,-75.660,98.200,11.147,-82.599,88.853,6.090,260,0.890,bicubic
res2net50_14w_8s,-26,1.787,-76.365,98.213,10.347,-83.495,89.653,25.060,224,0.875,bilinear
res2net50_26w_4s,-20,1.773,-76.173,98.227,10.440,-83.412,89.560,25.700,224,0.875,bilinear
mobilenetv3_large_100,+18,1.760,-74.008,98.240,10.293,-82.247,89.707,5.480,224,0.875,bicubic
densenet121,+20,1.733,-73.841,98.267,10.853,-81.803,89.147,7.980,224,0.875,bicubic
tf_efficientnet_b0,+5,1.693,-75.147,98.307,9.733,-83.493,90.267,5.290,224,0.875,bicubic
tv_resnext50_32x4d,-18,1.680,-75.938,98.320,10.600,-83.098,89.400,25.030,224,0.875,bilinear
mobilenetv3_rw,+16,1.667,-73.961,98.333,10.733,-81.977,89.267,5.480,224,0.875,bicubic
resnet101,-12,1.667,-75.707,98.333,9.813,-83.733,90.187,44.550,224,0.875,bilinear
mobilenetv2_120d,-10,1.640,-75.654,98.360,10.453,-83.049,89.547,5.830,224,0.875,bicubic
mixnet_s,+9,1.587,-74.401,98.413,10.253,-82.541,89.747,4.130,224,0.875,bicubic
densenet201,-11,1.547,-75.743,98.453,9.627,-83.851,90.373,20.010,224,0.875,bicubic
gluon_resnet50_v1c,-34,1.547,-76.463,98.453,10.613,-83.375,89.387,25.580,224,0.875,bicubic
semnasnet_100,+14,1.547,-73.909,98.453,9.320,-83.272,90.680,3.890,224,0.875,bicubic
selecsls42b,-11,1.467,-75.709,98.533,10.440,-82.952,89.560,32.460,224,0.875,bicubic
tf_efficientnet_lite1,-2,1.453,-75.185,98.547,9.707,-83.525,90.293,5.420,240,0.882,bicubic
regnety_008,=,1.427,-74.887,98.573,8.947,-84.115,91.053,6.260,224,0.875,bicubic
ssl_resnet18,+32,1.387,-71.213,98.613,8.160,-83.256,91.840,11.690,224,0.875,bilinear
dla60,-12,1.347,-75.677,98.653,9.467,-83.841,90.533,22.330,224,0.875,bilinear
dpn68,-2,1.347,-74.959,98.653,8.813,-84.157,91.187,12.610,224,0.875,bicubic
res2net50_48w_2s,-27,1.307,-76.207,98.693,8.920,-84.628,91.080,25.290,224,0.875,bilinear
tf_mixnet_s,+1,1.280,-74.368,98.720,8.747,-83.889,91.253,4.130,224,0.875,bicubic
mobilenetv2_140,-7,1.253,-75.271,98.747,9.107,-83.883,90.893,6.110,224,0.875,bicubic
fbnetc_100,+8,1.227,-73.893,98.773,8.747,-83.639,91.253,5.570,224,0.875,bilinear
resnet26d,-12,1.227,-75.453,98.773,9.280,-83.886,90.720,16.010,224,0.875,bicubic
densenet169,-5,1.187,-74.725,98.813,8.320,-84.704,91.680,14.150,224,0.875,bicubic
tf_mobilenetv3_large_100,-1,1.187,-74.329,98.813,7.947,-84.653,92.053,5.480,224,0.875,bilinear
gluon_resnet50_v1b,-36,1.160,-76.418,98.840,9.027,-84.691,90.973,25.560,224,0.875,bicubic
seresnet34,+8,1.120,-73.688,98.880,7.400,-84.726,92.600,21.960,224,0.875,bilinear
tf_efficientnet_es,-28,1.120,-76.144,98.880,8.600,-85.000,91.400,5.440,224,0.875,bicubic
spnasnet_100,+11,1.107,-72.973,98.893,8.253,-83.579,91.747,4.420,224,0.875,bilinear
tf_efficientnet_lite0,+4,1.107,-73.735,98.893,7.493,-84.677,92.507,4.650,224,0.875,bicubic
regnetx_016,-24,1.093,-75.837,98.907,8.627,-84.791,91.373,9.190,224,0.875,bicubic
dla34,+6,1.080,-73.556,98.920,7.693,-84.371,92.307,15.780,224,0.875,bilinear
regnety_006,-5,1.053,-74.207,98.947,8.400,-84.128,91.600,6.060,224,0.875,bicubic
regnety_004,+7,1.013,-73.013,98.987,7.333,-84.415,92.667,4.340,224,0.875,bicubic
resnet34,-4,0.987,-74.125,99.013,7.533,-84.755,92.467,21.800,224,0.875,bilinear
mobilenetv2_110d,-4,0.933,-74.119,99.067,8.107,-84.073,91.893,4.520,224,0.875,bicubic
gluon_resnet34_v1b,+2,0.893,-73.687,99.107,6.600,-85.388,93.400,21.800,224,0.875,bicubic
hrnet_w18_small_v2,-9,0.893,-74.233,99.107,7.387,-85.029,92.613,15.600,224,0.875,bilinear
regnetx_008,-6,0.893,-74.129,99.107,6.907,-85.437,93.093,7.260,224,0.875,bicubic
skresnet18,+6,0.880,-72.164,99.120,7.387,-83.791,92.613,11.960,224,0.875,bicubic
mnasnet_100,-4,0.867,-73.789,99.133,7.867,-84.259,92.133,4.380,224,0.875,bicubic
tf_mobilenetv3_large_075,+1,0.867,-72.575,99.133,6.720,-84.632,93.280,3.990,224,0.875,bilinear
regnetx_006,-1,0.760,-73.102,99.240,6.493,-85.187,93.507,6.200,224,0.875,bicubic
tf_mobilenetv3_small_100,+13,0.747,-67.171,99.253,4.667,-82.995,95.333,2.540,224,0.875,bilinear
seresnet18,+7,0.720,-71.038,99.280,6.027,-84.307,93.973,11.780,224,0.875,bicubic
regnetx_004,+3,0.693,-71.713,99.307,5.507,-85.323,94.493,5.160,224,0.875,bicubic
tv_densenet121,-11,0.680,-74.072,99.320,6.907,-85.245,93.093,7.980,224,0.875,bicubic
regnety_002,+6,0.667,-69.615,99.333,5.533,-84.007,94.467,3.160,224,0.875,bicubic
tf_mobilenetv3_small_075,+11,0.627,-65.091,99.373,4.173,-81.963,95.827,2.040,224,0.875,bilinear
resnet26,-23,0.600,-74.692,99.400,6.880,-85.690,93.120,16.000,224,0.875,bicubic
tv_resnet34,-7,0.600,-72.714,99.400,5.520,-85.900,94.480,21.800,224,0.875,bilinear
mobilenetv2_100,-5,0.533,-72.445,99.467,6.187,-84.829,93.813,3.500,224,0.875,bicubic
dla46_c,+8,0.520,-64.358,99.480,4.187,-82.099,95.813,1.310,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,-3,0.480,-71.764,99.520,4.880,-85.756,95.120,3.920,224,0.875,bilinear
dla60x_c,+3,0.467,-67.441,99.533,5.213,-83.221,94.787,1.340,224,0.875,bilinear
hrnet_w18_small,-6,0.453,-71.889,99.547,4.840,-85.832,95.160,13.190,224,0.875,bilinear
dla46x_c,+2,0.413,-65.567,99.587,4.440,-82.540,95.560,1.080,224,0.875,bilinear
gluon_resnet18_v1b,-5,0.387,-70.443,99.613,4.787,-84.969,95.213,11.690,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,+3,0.360,-62.538,99.640,2.867,-81.363,97.133,2.040,224,0.875,bilinear
resnet18,-5,0.293,-69.465,99.707,4.040,-85.038,95.960,11.690,224,0.875,bilinear
regnetx_002,-5,0.227,-68.527,99.773,3.987,-84.561,96.013,2.680,224,0.875,bicubic
tv_resnet50,-45,0.000,-76.130,100.000,2.893,-89.969,97.107,25.560,224,0.875,bilinear
tf_efficientnet_l2_ns_475,+1,62.387,-25.847,37.613,87.107,-11.439,12.893,480.31,475,0.936,bicubic
tf_efficientnet_l2_ns,-1,62.027,-26.325,37.973,87.960,-10.688,12.040,480.31,800,0.960,bicubic
tf_efficientnet_b7_ns,=,45.720,-41.118,54.280,74.200,-23.894,25.800,66.35,600,0.949,bicubic
ig_resnext101_32x48d,+2,41.573,-43.869,58.427,66.613,-30.959,33.387,828.41,224,0.875,bilinear
tf_efficientnet_b6_ns,-1,40.427,-46.035,59.573,68.840,-29.044,31.160,43.04,528,0.942,bicubic
ig_resnext101_32x32d,+5,39.413,-45.679,60.587,63.760,-33.676,36.240,468.53,224,0.875,bilinear
tf_efficientnet_b5_ns,-2,39.013,-47.067,60.987,68.040,-29.714,31.960,30.39,456,0.934,bicubic
ig_resnext101_32x16d,+9,36.053,-48.123,63.947,59.040,-38.156,40.960,194.03,224,0.875,bilinear
swsl_resnext101_32x8d,+5,32.067,-52.227,67.933,59.400,-37.774,40.600,88.79,224,0.875,bilinear
tf_efficientnet_b4_ns,-1,30.800,-54.358,69.200,59.440,-38.028,40.560,19.34,380,0.922,bicubic
tf_efficientnet_b8_ap,-3,29.600,-55.768,70.400,56.933,-40.361,43.067,87.41,672,0.954,bicubic
tf_efficientnet_b8,-5,29.373,-55.997,70.627,57.067,-40.325,42.933,87.41,672,0.954,bicubic
ig_resnext101_32x8d,+16,28.707,-53.981,71.293,52.320,-44.312,47.680,88.79,224,0.875,bilinear
swsl_resnext101_32x16d,+8,27.947,-55.391,72.053,52.320,-44.532,47.680,194.03,224,0.875,bilinear
tf_efficientnet_b7_ap,-5,27.813,-57.305,72.187,54.773,-42.479,45.227,66.35,600,0.949,bicubic
resnest269e,=,27.613,-56.573,72.387,53.107,-43.815,46.893,110.93,416,0.875,bilinear
tresnet_xl_448,+8,26.880,-56.168,73.120,51.093,-45.081,48.907,78.44,448,0.875,bilinear
resnest200e,+2,26.427,-57.407,73.573,51.933,-44.905,48.067,70.20,320,0.875,bilinear
swsl_resnext101_32x4d,+5,25.347,-57.887,74.653,49.627,-47.129,50.373,44.18,224,0.875,bilinear
tf_efficientnet_b7,-8,25.253,-59.679,74.747,51.667,-45.541,48.333,66.35,600,0.949,bicubic
tresnet_l_448,+11,24.573,-57.695,75.427,48.600,-47.378,51.400,55.99,448,0.875,bilinear
tf_efficientnet_b6_ap,-9,24.347,-60.439,75.653,50.427,-46.711,49.573,43.04,528,0.942,bicubic
tf_efficientnet_b6,-5,20.373,-63.739,79.627,45.493,-51.391,54.507,43.04,528,0.942,bicubic
tresnet_m_448,+15,19.680,-62.032,80.320,42.760,-52.810,57.240,31.39,448,0.875,bilinear
tf_efficientnet_b5_ap,-10,19.467,-64.787,80.533,44.720,-52.256,55.280,30.39,456,0.934,bicubic
tf_efficientnet_b3_ns,-7,19.413,-64.641,80.587,44.627,-52.285,55.373,12.23,300,0.904,bicubic
swsl_resnext50_32x4d,+6,18.067,-64.113,81.933,41.867,-54.361,58.133,25.03,224,0.875,bilinear
ssl_resnext101_32x16d,+9,17.213,-64.623,82.787,39.947,-56.147,60.053,194.03,224,0.875,bilinear
tf_efficientnet_b5,-8,17.067,-66.749,82.933,41.907,-54.843,58.093,30.39,456,0.934,bicubic
resnest101e,-3,16.493,-66.397,83.507,40.747,-55.577,59.253,48.28,256,0.875,bilinear
swsl_resnet50,+17,15.987,-65.193,84.013,38.853,-57.133,61.147,25.56,224,0.875,bilinear
ssl_resnext101_32x8d,+9,15.120,-66.506,84.880,37.720,-58.318,62.280,88.79,224,0.875,bilinear
tf_efficientnet_b4_ap,-10,13.680,-69.568,86.320,35.920,-60.468,64.080,19.34,380,0.922,bicubic
ecaresnet101d,=,13.307,-68.859,86.693,35.533,-60.519,64.467,44.57,224,0.875,bicubic
tf_efficientnet_b4,-9,13.307,-69.709,86.693,35.520,-60.778,64.480,19.34,380,0.922,bicubic
pnasnet5large,-8,13.080,-69.660,86.920,32.213,-63.827,67.787,86.06,331,0.875,bicubic
nasnetalarge,-7,12.573,-69.985,87.427,33.413,-62.623,66.587,88.75,331,0.875,bicubic
ssl_resnext101_32x4d,+15,12.120,-68.808,87.880,31.893,-63.835,68.107,44.18,224,0.875,bilinear
tf_efficientnet_b2_ns,-8,11.787,-70.593,88.213,32.960,-63.292,67.040,9.11,260,0.890,bicubic
gluon_senet154,+7,9.907,-71.317,90.093,26.453,-68.903,73.547,115.09,224,0.875,bicubic
resnest50d_4s2x40d,+8,9.787,-71.327,90.213,29.147,-66.421,70.853,30.42,224,0.875,bicubic
ssl_resnext50_32x4d,+30,9.667,-70.661,90.333,28.427,-66.977,71.573,25.03,224,0.875,bilinear
senet154,+3,9.453,-71.851,90.547,26.440,-69.058,73.560,115.09,224,0.875,bilinear
tresnet_xl,-9,9.307,-72.763,90.693,28.413,-67.515,71.587,78.44,224,0.875,bilinear
efficientnet_b3a,-9,9.267,-72.607,90.733,28.427,-67.413,71.573,12.23,320,1.000,bicubic
efficientnet_b3,-3,8.947,-72.551,91.053,28.213,-67.505,71.787,12.23,300,0.904,bicubic
inception_v4,+32,8.920,-71.236,91.080,24.707,-70.267,75.293,42.68,299,0.875,bicubic
gluon_seresnext101_64x4d,+7,8.867,-72.023,91.133,27.320,-67.984,72.680,88.23,224,0.875,bicubic
tf_efficientnet_b1_ns,-4,8.613,-72.773,91.387,27.280,-68.458,72.720,7.79,240,0.882,bicubic
resnest50d_1s4x24d,+1,8.520,-72.470,91.480,26.787,-68.535,73.213,25.68,224,0.875,bicubic
ecaresnet50d,+10,8.507,-72.097,91.493,26.267,-69.055,73.733,25.58,224,0.875,bicubic
gluon_xception65,+45,8.467,-71.137,91.533,25.133,-69.615,74.867,39.92,299,0.875,bicubic
gluon_resnet152_v1d,+11,8.413,-72.057,91.587,23.453,-71.753,76.547,60.21,224,0.875,bicubic
inception_resnet_v2,+11,8.160,-72.300,91.840,23.533,-71.777,76.467,55.84,299,0.897,bicubic
tf_efficientnet_b3_ap,-17,8.133,-73.695,91.867,26.280,-69.344,73.720,12.23,300,0.904,bicubic
gluon_seresnext101_32x4d,-2,8.040,-72.862,91.960,24.733,-70.561,75.267,48.96,224,0.875,bicubic
tf_efficientnet_b3,-17,8.013,-73.627,91.987,25.467,-70.255,74.533,12.23,300,0.904,bicubic
ens_adv_inception_resnet_v2,+25,7.987,-71.989,92.013,23.827,-71.119,76.173,55.84,299,0.897,bicubic
tf_efficientnet_lite4,-17,7.933,-73.595,92.067,25.560,-70.108,74.440,13.01,380,0.920,bilinear
tresnet_l,-16,7.880,-73.608,92.120,25.187,-70.441,74.813,55.99,224,0.875,bilinear
gluon_resnet152_v1s,-11,7.867,-73.145,92.133,23.173,-72.243,76.827,60.32,224,0.875,bicubic
resnest50d,-10,7.747,-73.211,92.253,25.293,-70.089,74.707,27.48,224,0.875,bilinear
gluon_resnext101_64x4d,-1,7.707,-72.895,92.293,23.240,-71.754,76.760,83.46,224,0.875,bicubic
skresnext50_32x4d,+16,7.080,-73.070,92.920,23.027,-71.617,76.973,27.48,224,0.875,bicubic
ssl_resnet50,+45,7.000,-72.228,93.000,23.920,-70.912,76.080,25.56,224,0.875,bilinear
regnety_320,-9,6.920,-73.894,93.080,23.040,-72.200,76.960,145.05,224,0.875,bicubic
ecaresnet101d_pruned,-9,6.800,-74.008,93.200,24.200,-71.428,75.800,24.88,224,0.875,bicubic
ecaresnetlight,-2,6.760,-73.694,93.240,22.560,-72.696,77.440,30.16,224,0.875,bicubic
efficientnet_b2a,-9,6.760,-73.848,93.240,23.493,-71.817,76.507,9.11,288,1.000,bicubic
seresnext101_32x4d,+7,6.413,-73.823,93.587,21.520,-73.508,78.480,48.96,224,0.875,bilinear
efficientnet_b2,-2,6.093,-74.309,93.907,21.933,-73.143,78.067,9.11,260,0.875,bicubic
gluon_resnext101_32x4d,-1,6.040,-74.294,93.960,21.133,-73.793,78.867,44.18,224,0.875,bicubic
regnetx_320,+3,5.987,-74.259,94.013,19.880,-75.142,80.120,107.81,224,0.875,bicubic
ese_vovnet39b,+29,5.973,-73.347,94.027,21.293,-73.417,78.707,24.57,224,0.875,bicubic
gluon_resnet101_v1d,-7,5.920,-74.504,94.080,19.947,-75.073,80.053,44.57,224,0.875,bicubic
gluon_seresnext50_32x4d,+10,5.787,-74.125,94.213,21.427,-73.391,78.573,27.56,224,0.875,bicubic
efficientnet_b3_pruned,-21,5.733,-75.123,94.267,21.360,-73.880,78.640,9.86,300,0.904,bicubic
regnety_160,-3,5.640,-74.660,94.360,19.347,-75.615,80.653,83.59,224,0.875,bicubic
gluon_inception_v3,+47,5.507,-73.297,94.493,19.947,-74.433,80.053,23.83,299,0.875,bicubic
mixnet_xl,-17,5.480,-74.998,94.520,21.093,-73.839,78.907,11.90,224,0.875,bicubic
tresnet_m,-22,5.440,-75.356,94.560,19.960,-74.896,80.040,31.39,224,0.875,bilinear
regnety_120,-12,5.413,-74.969,94.587,19.853,-75.275,80.147,51.82,224,0.875,bicubic
gluon_resnet101_v1s,-9,5.280,-75.020,94.720,19.547,-75.603,80.453,44.67,224,0.875,bicubic
hrnet_w64,+16,5.133,-74.339,94.867,19.453,-75.197,80.547,128.06,224,0.875,bilinear
regnety_080,+2,5.000,-74.868,95.000,18.600,-76.232,81.400,39.18,224,0.875,bicubic
efficientnet_b2_pruned,-2,4.947,-74.971,95.053,19.347,-75.501,80.653,8.31,260,0.890,bicubic
dpn107,-9,4.880,-75.284,95.120,17.613,-77.299,82.387,86.92,224,0.875,bicubic
gluon_resnet152_v1c,-3,4.867,-75.049,95.133,17.773,-77.069,82.227,60.21,224,0.875,bicubic
adv_inception_v3,+76,4.747,-72.833,95.253,17.547,-76.177,82.453,23.83,299,0.875,bicubic
dla102x2,+11,4.747,-74.705,95.253,18.960,-75.684,81.040,41.75,224,0.875,bilinear
tf_inception_v3,+68,4.747,-73.109,95.253,17.747,-75.897,82.253,23.83,299,0.875,bicubic
hrnet_w48,+13,4.720,-74.590,95.280,18.440,-76.078,81.560,77.47,224,0.875,bilinear
dpn131,-4,4.640,-75.188,95.360,16.867,-77.837,83.133,79.25,224,0.875,bicubic
gluon_resnet152_v1b,=,4.587,-75.105,95.413,16.533,-78.205,83.467,60.19,224,0.875,bicubic
ecaresnet50d_pruned,-3,4.547,-75.171,95.453,18.547,-76.343,81.453,19.94,224,0.875,bicubic
dpn92,-14,4.493,-75.523,95.507,18.200,-76.638,81.800,37.67,224,0.875,bicubic
hrnet_w44,+25,4.493,-74.401,95.507,17.347,-77.023,82.653,67.06,224,0.875,bilinear
regnetx_160,-10,4.373,-75.493,95.627,17.093,-77.735,82.907,54.28,224,0.875,bicubic
resnext50d_32x4d,-4,4.347,-75.327,95.653,17.773,-77.095,82.227,25.05,224,0.875,bicubic
xception,+18,4.347,-74.701,95.653,16.760,-77.632,83.240,22.86,299,0.897,bicubic
seresnext50_32x4d,+14,4.280,-74.796,95.720,17.813,-76.621,82.187,27.56,224,0.875,bilinear
resnext50_32x4d,-11,4.253,-75.509,95.747,18.387,-76.213,81.613,25.03,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,+4,4.240,-75.058,95.760,15.947,-78.417,84.053,39.72,240,0.882,bicubic
regnety_064,-11,4.227,-75.485,95.773,17.187,-77.587,82.813,30.58,224,0.875,bicubic
tf_efficientnet_el,-38,4.227,-76.221,95.773,18.173,-76.987,81.827,10.59,300,0.904,bicubic
inception_v3,+64,4.187,-73.249,95.813,16.293,-77.183,83.707,23.83,299,0.875,bicubic
tf_efficientnet_b2_ap,-34,4.173,-76.133,95.827,18.320,-76.708,81.680,9.11,260,0.890,bicubic
seresnet152,+24,4.147,-74.511,95.853,15.893,-78.481,84.107,66.82,224,0.875,bilinear
resnext101_32x8d,-5,4.133,-75.179,95.867,16.987,-77.539,83.013,88.79,224,0.875,bilinear
tf_efficientnet_b0_ns,+23,4.133,-74.519,95.867,17.680,-76.688,82.320,5.29,224,0.875,bicubic
dpn98,-15,4.080,-75.556,95.920,15.947,-78.647,84.053,61.57,224,0.875,bicubic
res2net101_26w_4s,+2,4.000,-75.196,96.000,14.827,-79.613,85.173,45.21,224,0.875,bilinear
efficientnet_b1,+17,3.973,-74.725,96.027,15.760,-78.392,84.240,7.79,240,0.875,bicubic
tf_efficientnet_lite3,-24,3.933,-75.879,96.067,16.520,-78.394,83.480,8.20,300,0.904,bilinear
tf_efficientnet_b2,-34,3.773,-76.317,96.227,16.613,-78.293,83.387,9.11,260,0.890,bicubic
regnety_040,-5,3.747,-75.475,96.253,16.400,-78.256,83.600,20.65,224,0.875,bicubic
hrnet_w30,+31,3.680,-74.516,96.320,15.573,-78.647,84.427,37.71,224,0.875,bilinear
hrnet_w32,+23,3.653,-74.795,96.347,14.787,-79.401,85.213,41.23,224,0.875,bilinear
hrnet_w40,+2,3.653,-75.281,96.347,15.440,-79.026,84.560,57.56,224,0.875,bilinear
regnetx_120,-22,3.627,-75.963,96.373,15.973,-78.767,84.027,46.11,224,0.875,bicubic
seresnext26t_32x4d,+34,3.613,-74.375,96.387,15.893,-77.813,84.107,16.82,224,0.875,bicubic
tf_efficientnet_b1_ap,-13,3.547,-75.731,96.453,15.067,-79.241,84.933,7.79,240,0.882,bicubic
seresnext26tn_32x4d,+31,3.507,-74.483,96.493,15.760,-77.988,84.240,16.81,224,0.875,bicubic
resnest26d,+13,3.493,-74.989,96.507,15.667,-78.623,84.333,17.07,224,0.875,bilinear
dla169,+4,3.467,-75.243,96.533,15.333,-79.005,84.667,53.99,224,0.875,bilinear
gluon_resnext50_32x4d,-24,3.453,-75.903,96.547,16.120,-78.304,83.880,25.03,224,0.875,bicubic
mixnet_l,-7,3.440,-75.536,96.560,15.307,-78.877,84.693,7.33,224,0.875,bicubic
seresnext26d_32x4d,+36,3.400,-74.204,96.600,16.160,-77.452,83.840,16.81,224,0.875,bicubic
res2net50_26w_8s,-17,3.333,-75.877,96.667,14.040,-80.322,85.960,48.40,224,0.875,bilinear
resnetblur50,-22,3.333,-75.957,96.667,15.587,-79.045,84.413,25.56,224,0.875,bicubic
dla102x,+4,3.307,-75.201,96.693,15.120,-79.114,84.880,26.77,224,0.875,bilinear
gluon_resnet101_v1c,-33,3.307,-76.237,96.693,14.120,-80.466,85.880,44.57,224,0.875,bicubic
seresnet101,+10,3.253,-75.143,96.747,15.453,-78.805,84.547,49.33,224,0.875,bilinear
densenetblur121d,+55,3.067,-73.509,96.933,14.280,-78.910,85.720,8.00,224,0.875,bicubic
dla60_res2next,+5,3.040,-75.408,96.960,14.453,-79.691,85.547,17.33,224,0.875,bilinear
regnety_032,-13,3.027,-75.843,96.973,14.240,-80.162,85.760,19.44,224,0.875,bicubic
gluon_resnet50_v1d,-21,3.013,-76.061,96.987,14.627,-79.849,85.373,25.58,224,0.875,bicubic
wide_resnet101_2,-14,2.960,-75.886,97.040,13.947,-80.337,86.053,126.89,224,0.875,bilinear
efficientnet_b1_pruned,+7,2.933,-75.309,97.067,14.413,-79.419,85.587,6.33,240,0.882,bicubic
gluon_resnet50_v1s,-12,2.920,-75.792,97.080,13.120,-81.122,86.880,25.68,224,0.875,bicubic
tf_efficientnet_b1,-16,2.867,-75.965,97.133,13.507,-80.689,86.493,7.79,240,0.882,bicubic
res2net50_26w_6s,-8,2.840,-75.734,97.160,12.600,-81.526,87.400,37.05,224,0.875,bilinear
efficientnet_b0,+18,2.813,-74.879,97.187,13.907,-79.625,86.093,5.29,224,0.875,bicubic
tf_mixnet_l,-17,2.813,-75.957,97.187,13.040,-80.964,86.960,7.33,224,0.875,bicubic
regnetx_064,-28,2.787,-76.279,97.213,13.880,-80.576,86.120,26.21,224,0.875,bicubic
dpn68b,+21,2.707,-74.807,97.293,12.640,-81.182,87.360,12.61,224,0.875,bicubic
selecsls60b,-5,2.693,-75.725,97.307,13.173,-80.993,86.827,32.77,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,+10,2.680,-75.228,97.320,12.773,-80.883,87.227,24.01,224,0.875,bicubic
dla60_res2net,-11,2.640,-75.832,97.360,14.200,-80.004,85.800,21.15,224,0.875,bilinear
gluon_resnet101_v1b,-44,2.627,-76.677,97.373,13.573,-80.951,86.427,44.55,224,0.875,bicubic
dla60x,-6,2.613,-75.629,97.387,13.333,-80.689,86.667,17.65,224,0.875,bilinear
mixnet_m,+25,2.547,-74.709,97.453,12.427,-80.991,87.573,5.01,224,0.875,bicubic
skresnet34,+31,2.520,-74.390,97.480,12.773,-80.543,87.227,22.28,224,0.875,bicubic
efficientnet_es,-3,2.373,-75.681,97.627,13.880,-80.050,86.120,5.44,224,0.875,bicubic
resnet152,-11,2.360,-75.952,97.640,12.200,-81.846,87.800,60.19,224,0.875,bilinear
regnetx_080,-43,2.347,-76.851,97.653,12.693,-81.865,87.307,39.57,224,0.875,bicubic
swsl_resnet18,+64,2.333,-70.953,97.667,11.213,-80.519,88.787,11.69,224,0.875,bilinear
wide_resnet50_2,-19,2.320,-76.148,97.680,11.800,-82.286,88.200,68.88,224,0.875,bilinear
seresnext26_32x4d,+20,2.293,-74.807,97.707,12.440,-80.870,87.560,16.79,224,0.875,bicubic
hrnet_w18,+26,2.267,-74.489,97.733,11.853,-81.589,88.147,21.30,224,0.875,bilinear
dla102,-9,2.253,-75.773,97.747,12.120,-81.830,87.880,33.73,224,0.875,bilinear
resnet50,-43,2.227,-76.805,97.773,11.333,-83.051,88.667,25.56,224,0.875,bicubic
regnety_016,-3,2.173,-75.679,97.827,11.440,-82.276,88.560,11.20,224,0.875,bicubic
regnetx_040,-28,2.160,-76.326,97.840,11.800,-82.442,88.200,22.12,224,0.875,bicubic
resnest14d,+36,2.147,-73.357,97.853,10.400,-82.114,89.600,10.61,224,0.875,bilinear
selecsls60,-10,2.080,-75.902,97.920,12.840,-80.992,87.160,30.67,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,+6,2.080,-75.224,97.920,10.973,-82.359,89.027,13.31,224,0.875,bicubic
res2next50,-21,2.067,-76.175,97.933,11.453,-82.439,88.547,24.67,224,0.875,bilinear
seresnet50,-7,2.067,-75.569,97.933,12.267,-81.485,87.733,28.09,224,0.875,bilinear
densenet161,+2,1.973,-75.375,98.027,10.587,-83.061,89.413,28.68,224,0.875,bicubic
tf_efficientnet_b0_ap,+9,1.960,-75.124,98.040,10.800,-82.454,89.200,5.29,224,0.875,bicubic
regnetx_032,-23,1.920,-76.246,98.080,10.947,-83.133,89.053,15.30,224,0.875,bicubic
tf_efficientnet_em,-42,1.813,-76.885,98.187,11.627,-82.693,88.373,6.90,240,0.882,bicubic
tf_mixnet_m,+8,1.813,-75.137,98.187,10.547,-82.609,89.453,5.01,224,0.875,bicubic
tf_efficientnet_lite2,-6,1.800,-75.660,98.200,11.147,-82.599,88.853,6.09,260,0.890,bicubic
res2net50_14w_8s,-26,1.787,-76.365,98.213,10.347,-83.495,89.653,25.06,224,0.875,bilinear
res2net50_26w_4s,-20,1.773,-76.173,98.227,10.440,-83.412,89.560,25.70,224,0.875,bilinear
mobilenetv3_large_100,+18,1.760,-74.008,98.240,10.293,-82.247,89.707,5.48,224,0.875,bicubic
densenet121,+20,1.733,-73.841,98.267,10.853,-81.803,89.147,7.98,224,0.875,bicubic
tf_efficientnet_b0,+5,1.693,-75.147,98.307,9.733,-83.493,90.267,5.29,224,0.875,bicubic
tv_resnext50_32x4d,-18,1.680,-75.938,98.320,10.600,-83.098,89.400,25.03,224,0.875,bilinear
mobilenetv3_rw,+16,1.667,-73.961,98.333,10.733,-81.977,89.267,5.48,224,0.875,bicubic
resnet101,-12,1.667,-75.707,98.333,9.813,-83.733,90.187,44.55,224,0.875,bilinear
mobilenetv2_120d,-10,1.640,-75.654,98.360,10.453,-83.049,89.547,5.83,224,0.875,bicubic
mixnet_s,+9,1.587,-74.401,98.413,10.253,-82.541,89.747,4.13,224,0.875,bicubic
densenet201,-11,1.547,-75.743,98.453,9.627,-83.851,90.373,20.01,224,0.875,bicubic
gluon_resnet50_v1c,-34,1.547,-76.463,98.453,10.613,-83.375,89.387,25.58,224,0.875,bicubic
semnasnet_100,+14,1.547,-73.909,98.453,9.320,-83.272,90.680,3.89,224,0.875,bicubic
selecsls42b,-11,1.467,-75.709,98.533,10.440,-82.952,89.560,32.46,224,0.875,bicubic
tf_efficientnet_lite1,-2,1.453,-75.185,98.547,9.707,-83.525,90.293,5.42,240,0.882,bicubic
regnety_008,=,1.427,-74.887,98.573,8.947,-84.115,91.053,6.26,224,0.875,bicubic
ssl_resnet18,+32,1.387,-71.213,98.613,8.160,-83.256,91.840,11.69,224,0.875,bilinear
dla60,-12,1.347,-75.677,98.653,9.467,-83.841,90.533,22.33,224,0.875,bilinear
dpn68,-2,1.347,-74.959,98.653,8.813,-84.157,91.187,12.61,224,0.875,bicubic
res2net50_48w_2s,-27,1.307,-76.207,98.693,8.920,-84.628,91.080,25.29,224,0.875,bilinear
tf_mixnet_s,+1,1.280,-74.368,98.720,8.747,-83.889,91.253,4.13,224,0.875,bicubic
mobilenetv2_140,-7,1.253,-75.271,98.747,9.107,-83.883,90.893,6.11,224,0.875,bicubic
fbnetc_100,+8,1.227,-73.893,98.773,8.747,-83.639,91.253,5.57,224,0.875,bilinear
resnet26d,-12,1.227,-75.453,98.773,9.280,-83.886,90.720,16.01,224,0.875,bicubic
densenet169,-5,1.187,-74.725,98.813,8.320,-84.704,91.680,14.15,224,0.875,bicubic
tf_mobilenetv3_large_100,-1,1.187,-74.329,98.813,7.947,-84.653,92.053,5.48,224,0.875,bilinear
gluon_resnet50_v1b,-36,1.160,-76.418,98.840,9.027,-84.691,90.973,25.56,224,0.875,bicubic
seresnet34,+8,1.120,-73.688,98.880,7.400,-84.726,92.600,21.96,224,0.875,bilinear
tf_efficientnet_es,-28,1.120,-76.144,98.880,8.600,-85.000,91.400,5.44,224,0.875,bicubic
spnasnet_100,+11,1.107,-72.973,98.893,8.253,-83.579,91.747,4.42,224,0.875,bilinear
tf_efficientnet_lite0,+4,1.107,-73.735,98.893,7.493,-84.677,92.507,4.65,224,0.875,bicubic
regnetx_016,-24,1.093,-75.837,98.907,8.627,-84.791,91.373,9.19,224,0.875,bicubic
dla34,+6,1.080,-73.556,98.920,7.693,-84.371,92.307,15.78,224,0.875,bilinear
regnety_006,-5,1.053,-74.207,98.947,8.400,-84.128,91.600,6.06,224,0.875,bicubic
regnety_004,+7,1.013,-73.013,98.987,7.333,-84.415,92.667,4.34,224,0.875,bicubic
resnet34,-4,0.987,-74.125,99.013,7.533,-84.755,92.467,21.80,224,0.875,bilinear
mobilenetv2_110d,-4,0.933,-74.119,99.067,8.107,-84.073,91.893,4.52,224,0.875,bicubic
gluon_resnet34_v1b,+2,0.893,-73.687,99.107,6.600,-85.388,93.400,21.80,224,0.875,bicubic
hrnet_w18_small_v2,-9,0.893,-74.233,99.107,7.387,-85.029,92.613,15.60,224,0.875,bilinear
regnetx_008,-6,0.893,-74.129,99.107,6.907,-85.437,93.093,7.26,224,0.875,bicubic
skresnet18,+6,0.880,-72.164,99.120,7.387,-83.791,92.613,11.96,224,0.875,bicubic
mnasnet_100,-4,0.867,-73.789,99.133,7.867,-84.259,92.133,4.38,224,0.875,bicubic
tf_mobilenetv3_large_075,+1,0.867,-72.575,99.133,6.720,-84.632,93.280,3.99,224,0.875,bilinear
regnetx_006,-1,0.760,-73.102,99.240,6.493,-85.187,93.507,6.20,224,0.875,bicubic
tf_mobilenetv3_small_100,+13,0.747,-67.171,99.253,4.667,-82.995,95.333,2.54,224,0.875,bilinear
seresnet18,+7,0.720,-71.038,99.280,6.027,-84.307,93.973,11.78,224,0.875,bicubic
regnetx_004,+3,0.693,-71.713,99.307,5.507,-85.323,94.493,5.16,224,0.875,bicubic
tv_densenet121,-11,0.680,-74.072,99.320,6.907,-85.245,93.093,7.98,224,0.875,bicubic
regnety_002,+6,0.667,-69.615,99.333,5.533,-84.007,94.467,3.16,224,0.875,bicubic
tf_mobilenetv3_small_075,+11,0.627,-65.091,99.373,4.173,-81.963,95.827,2.04,224,0.875,bilinear
resnet26,-23,0.600,-74.692,99.400,6.880,-85.690,93.120,16.00,224,0.875,bicubic
tv_resnet34,-7,0.600,-72.714,99.400,5.520,-85.900,94.480,21.80,224,0.875,bilinear
mobilenetv2_100,-5,0.533,-72.445,99.467,6.187,-84.829,93.813,3.50,224,0.875,bicubic
dla46_c,+8,0.520,-64.358,99.480,4.187,-82.099,95.813,1.31,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,-3,0.480,-71.764,99.520,4.880,-85.756,95.120,3.92,224,0.875,bilinear
dla60x_c,+3,0.467,-67.441,99.533,5.213,-83.221,94.787,1.34,224,0.875,bilinear
hrnet_w18_small,-6,0.453,-71.889,99.547,4.840,-85.832,95.160,13.19,224,0.875,bilinear
dla46x_c,+2,0.413,-65.567,99.587,4.440,-82.540,95.560,1.08,224,0.875,bilinear
gluon_resnet18_v1b,-5,0.387,-70.443,99.613,4.787,-84.969,95.213,11.69,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,+3,0.360,-62.538,99.640,2.867,-81.363,97.133,2.04,224,0.875,bilinear
resnet18,-5,0.293,-69.465,99.707,4.040,-85.038,95.960,11.69,224,0.875,bilinear
regnetx_002,-5,0.227,-68.527,99.773,3.987,-84.561,96.013,2.68,224,0.875,bicubic
tv_resnet50,-45,0.000,-76.130,100.000,2.893,-89.969,97.107,25.56,224,0.875,bilinear

1 model rank_diff top1 top1_diff top1_err top5 top5_diff top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns_475 +1 62.387 -25.847 37.613 87.107 -11.439 12.893 480.310 480.31 475 0.936 bicubic
3 tf_efficientnet_l2_ns -1 62.027 -26.325 37.973 87.960 -10.688 12.040 480.310 480.31 800 0.960 bicubic
4 tf_efficientnet_b7_ns = 45.720 -41.118 54.280 74.200 -23.894 25.800 66.350 66.35 600 0.949 bicubic
5 ig_resnext101_32x48d +2 41.573 -43.869 58.427 66.613 -30.959 33.387 828.410 828.41 224 0.875 bilinear
6 tf_efficientnet_b6_ns -1 40.427 -46.035 59.573 68.840 -29.044 31.160 43.040 43.04 528 0.942 bicubic
7 ig_resnext101_32x32d +5 39.413 -45.679 60.587 63.760 -33.676 36.240 468.530 468.53 224 0.875 bilinear
8 tf_efficientnet_b5_ns -2 39.013 -47.067 60.987 68.040 -29.714 31.960 30.390 30.39 456 0.934 bicubic
9 ig_resnext101_32x16d +9 36.053 -48.123 63.947 59.040 -38.156 40.960 194.030 194.03 224 0.875 bilinear
10 swsl_resnext101_32x8d +5 32.067 -52.227 67.933 59.400 -37.774 40.600 88.790 88.79 224 0.875 bilinear
11 tf_efficientnet_b4_ns -1 30.800 -54.358 69.200 59.440 -38.028 40.560 19.340 19.34 380 0.922 bicubic
12 tf_efficientnet_b8_ap -3 29.600 -55.768 70.400 56.933 -40.361 43.067 87.410 87.41 672 0.954 bicubic
13 tf_efficientnet_b8 -5 29.373 -55.997 70.627 57.067 -40.325 42.933 87.410 87.41 672 0.954 bicubic
14 ig_resnext101_32x8d +16 28.707 -53.981 71.293 52.320 -44.312 47.680 88.790 88.79 224 0.875 bilinear
15 swsl_resnext101_32x16d +8 27.947 -55.391 72.053 52.320 -44.532 47.680 194.030 194.03 224 0.875 bilinear
16 tf_efficientnet_b7_ap -5 27.813 -57.305 72.187 54.773 -42.479 45.227 66.350 66.35 600 0.949 bicubic
17 resnest269e = 27.613 -56.573 72.387 53.107 -43.815 46.893 110.930 110.93 416 0.875 bilinear
18 tresnet_xl_448 +8 26.880 -56.168 73.120 51.093 -45.081 48.907 78.440 78.44 448 0.875 bilinear
19 resnest200e +2 26.427 -57.407 73.573 51.933 -44.905 48.067 70.200 70.20 320 0.875 bilinear
20 swsl_resnext101_32x4d +5 25.347 -57.887 74.653 49.627 -47.129 50.373 44.180 44.18 224 0.875 bilinear
21 tf_efficientnet_b7 -8 25.253 -59.679 74.747 51.667 -45.541 48.333 66.350 66.35 600 0.949 bicubic
22 tresnet_l_448 +11 24.573 -57.695 75.427 48.600 -47.378 51.400 55.990 55.99 448 0.875 bilinear
23 tf_efficientnet_b6_ap -9 24.347 -60.439 75.653 50.427 -46.711 49.573 43.040 43.04 528 0.942 bicubic
24 tf_efficientnet_b6 -5 20.373 -63.739 79.627 45.493 -51.391 54.507 43.040 43.04 528 0.942 bicubic
25 tresnet_m_448 +15 19.680 -62.032 80.320 42.760 -52.810 57.240 31.390 31.39 448 0.875 bilinear
26 tf_efficientnet_b5_ap -10 19.467 -64.787 80.533 44.720 -52.256 55.280 30.390 30.39 456 0.934 bicubic
27 tf_efficientnet_b3_ns -7 19.413 -64.641 80.587 44.627 -52.285 55.373 12.230 12.23 300 0.904 bicubic
28 swsl_resnext50_32x4d +6 18.067 -64.113 81.933 41.867 -54.361 58.133 25.030 25.03 224 0.875 bilinear
29 ssl_resnext101_32x16d +9 17.213 -64.623 82.787 39.947 -56.147 60.053 194.030 194.03 224 0.875 bilinear
30 tf_efficientnet_b5 -8 17.067 -66.749 82.933 41.907 -54.843 58.093 30.390 30.39 456 0.934 bicubic
31 resnest101e -3 16.493 -66.397 83.507 40.747 -55.577 59.253 48.280 48.28 256 0.875 bilinear
32 swsl_resnet50 +17 15.987 -65.193 84.013 38.853 -57.133 61.147 25.560 25.56 224 0.875 bilinear
33 ssl_resnext101_32x8d +9 15.120 -66.506 84.880 37.720 -58.318 62.280 88.790 88.79 224 0.875 bilinear
34 tf_efficientnet_b4_ap -10 13.680 -69.568 86.320 35.920 -60.468 64.080 19.340 19.34 380 0.922 bicubic
35 ecaresnet101d = 13.307 -68.859 86.693 35.533 -60.519 64.467 44.570 44.57 224 0.875 bicubic
36 tf_efficientnet_b4 -9 13.307 -69.709 86.693 35.520 -60.778 64.480 19.340 19.34 380 0.922 bicubic
37 pnasnet5large -8 13.080 -69.660 86.920 32.213 -63.827 67.787 86.060 86.06 331 0.875 bicubic
38 nasnetalarge -7 12.573 -69.985 87.427 33.413 -62.623 66.587 88.750 88.75 331 0.875 bicubic
39 ssl_resnext101_32x4d +15 12.120 -68.808 87.880 31.893 -63.835 68.107 44.180 44.18 224 0.875 bilinear
40 tf_efficientnet_b2_ns -8 11.787 -70.593 88.213 32.960 -63.292 67.040 9.110 9.11 260 0.890 bicubic
41 gluon_senet154 +7 9.907 -71.317 90.093 26.453 -68.903 73.547 115.090 115.09 224 0.875 bicubic
42 resnest50d_4s2x40d +8 9.787 -71.327 90.213 29.147 -66.421 70.853 30.420 30.42 224 0.875 bicubic
43 ssl_resnext50_32x4d +30 9.667 -70.661 90.333 28.427 -66.977 71.573 25.030 25.03 224 0.875 bilinear
44 senet154 +3 9.453 -71.851 90.547 26.440 -69.058 73.560 115.090 115.09 224 0.875 bilinear
45 tresnet_xl -9 9.307 -72.763 90.693 28.413 -67.515 71.587 78.440 78.44 224 0.875 bilinear
46 efficientnet_b3a -9 9.267 -72.607 90.733 28.427 -67.413 71.573 12.230 12.23 320 1.000 bicubic
47 efficientnet_b3 -3 8.947 -72.551 91.053 28.213 -67.505 71.787 12.230 12.23 300 0.904 bicubic
48 inception_v4 +32 8.920 -71.236 91.080 24.707 -70.267 75.293 42.680 42.68 299 0.875 bicubic
49 gluon_seresnext101_64x4d +7 8.867 -72.023 91.133 27.320 -67.984 72.680 88.230 88.23 224 0.875 bicubic
50 tf_efficientnet_b1_ns -4 8.613 -72.773 91.387 27.280 -68.458 72.720 7.790 7.79 240 0.882 bicubic
51 resnest50d_1s4x24d +1 8.520 -72.470 91.480 26.787 -68.535 73.213 25.680 25.68 224 0.875 bicubic
52 ecaresnet50d +10 8.507 -72.097 91.493 26.267 -69.055 73.733 25.580 25.58 224 0.875 bicubic
53 gluon_xception65 +45 8.467 -71.137 91.533 25.133 -69.615 74.867 39.920 39.92 299 0.875 bicubic
54 gluon_resnet152_v1d +11 8.413 -72.057 91.587 23.453 -71.753 76.547 60.210 60.21 224 0.875 bicubic
55 inception_resnet_v2 +11 8.160 -72.300 91.840 23.533 -71.777 76.467 55.840 55.84 299 0.897 bicubic
56 tf_efficientnet_b3_ap -17 8.133 -73.695 91.867 26.280 -69.344 73.720 12.230 12.23 300 0.904 bicubic
57 gluon_seresnext101_32x4d -2 8.040 -72.862 91.960 24.733 -70.561 75.267 48.960 48.96 224 0.875 bicubic
58 tf_efficientnet_b3 -17 8.013 -73.627 91.987 25.467 -70.255 74.533 12.230 12.23 300 0.904 bicubic
59 ens_adv_inception_resnet_v2 +25 7.987 -71.989 92.013 23.827 -71.119 76.173 55.840 55.84 299 0.897 bicubic
60 tf_efficientnet_lite4 -17 7.933 -73.595 92.067 25.560 -70.108 74.440 13.010 13.01 380 0.920 bilinear
61 tresnet_l -16 7.880 -73.608 92.120 25.187 -70.441 74.813 55.990 55.99 224 0.875 bilinear
62 gluon_resnet152_v1s -11 7.867 -73.145 92.133 23.173 -72.243 76.827 60.320 60.32 224 0.875 bicubic
63 resnest50d -10 7.747 -73.211 92.253 25.293 -70.089 74.707 27.480 27.48 224 0.875 bilinear
64 gluon_resnext101_64x4d -1 7.707 -72.895 92.293 23.240 -71.754 76.760 83.460 83.46 224 0.875 bicubic
65 skresnext50_32x4d +16 7.080 -73.070 92.920 23.027 -71.617 76.973 27.480 27.48 224 0.875 bicubic
66 ssl_resnet50 +45 7.000 -72.228 93.000 23.920 -70.912 76.080 25.560 25.56 224 0.875 bilinear
67 regnety_320 -9 6.920 -73.894 93.080 23.040 -72.200 76.960 145.050 145.05 224 0.875 bicubic
68 ecaresnet101d_pruned -9 6.800 -74.008 93.200 24.200 -71.428 75.800 24.880 24.88 224 0.875 bicubic
69 ecaresnetlight -2 6.760 -73.694 93.240 22.560 -72.696 77.440 30.160 30.16 224 0.875 bicubic
70 efficientnet_b2a -9 6.760 -73.848 93.240 23.493 -71.817 76.507 9.110 9.11 288 1.000 bicubic
71 seresnext101_32x4d +7 6.413 -73.823 93.587 21.520 -73.508 78.480 48.960 48.96 224 0.875 bilinear
72 efficientnet_b2 -2 6.093 -74.309 93.907 21.933 -73.143 78.067 9.110 9.11 260 0.875 bicubic
73 gluon_resnext101_32x4d -1 6.040 -74.294 93.960 21.133 -73.793 78.867 44.180 44.18 224 0.875 bicubic
74 regnetx_320 +3 5.987 -74.259 94.013 19.880 -75.142 80.120 107.810 107.81 224 0.875 bicubic
75 ese_vovnet39b +29 5.973 -73.347 94.027 21.293 -73.417 78.707 24.570 24.57 224 0.875 bicubic
76 gluon_resnet101_v1d -7 5.920 -74.504 94.080 19.947 -75.073 80.053 44.570 44.57 224 0.875 bicubic
77 gluon_seresnext50_32x4d +10 5.787 -74.125 94.213 21.427 -73.391 78.573 27.560 27.56 224 0.875 bicubic
78 efficientnet_b3_pruned -21 5.733 -75.123 94.267 21.360 -73.880 78.640 9.860 9.86 300 0.904 bicubic
79 regnety_160 -3 5.640 -74.660 94.360 19.347 -75.615 80.653 83.590 83.59 224 0.875 bicubic
80 gluon_inception_v3 +47 5.507 -73.297 94.493 19.947 -74.433 80.053 23.830 23.83 299 0.875 bicubic
81 mixnet_xl -17 5.480 -74.998 94.520 21.093 -73.839 78.907 11.900 11.90 224 0.875 bicubic
82 tresnet_m -22 5.440 -75.356 94.560 19.960 -74.896 80.040 31.390 31.39 224 0.875 bilinear
83 regnety_120 -12 5.413 -74.969 94.587 19.853 -75.275 80.147 51.820 51.82 224 0.875 bicubic
84 gluon_resnet101_v1s -9 5.280 -75.020 94.720 19.547 -75.603 80.453 44.670 44.67 224 0.875 bicubic
85 hrnet_w64 +16 5.133 -74.339 94.867 19.453 -75.197 80.547 128.060 128.06 224 0.875 bilinear
86 regnety_080 +2 5.000 -74.868 95.000 18.600 -76.232 81.400 39.180 39.18 224 0.875 bicubic
87 efficientnet_b2_pruned -2 4.947 -74.971 95.053 19.347 -75.501 80.653 8.310 8.31 260 0.890 bicubic
88 dpn107 -9 4.880 -75.284 95.120 17.613 -77.299 82.387 86.920 86.92 224 0.875 bicubic
89 gluon_resnet152_v1c -3 4.867 -75.049 95.133 17.773 -77.069 82.227 60.210 60.21 224 0.875 bicubic
90 adv_inception_v3 +76 4.747 -72.833 95.253 17.547 -76.177 82.453 23.830 23.83 299 0.875 bicubic
91 dla102x2 +11 4.747 -74.705 95.253 18.960 -75.684 81.040 41.750 41.75 224 0.875 bilinear
92 tf_inception_v3 +68 4.747 -73.109 95.253 17.747 -75.897 82.253 23.830 23.83 299 0.875 bicubic
93 hrnet_w48 +13 4.720 -74.590 95.280 18.440 -76.078 81.560 77.470 77.47 224 0.875 bilinear
94 dpn131 -4 4.640 -75.188 95.360 16.867 -77.837 83.133 79.250 79.25 224 0.875 bicubic
95 gluon_resnet152_v1b = 4.587 -75.105 95.413 16.533 -78.205 83.467 60.190 60.19 224 0.875 bicubic
96 ecaresnet50d_pruned -3 4.547 -75.171 95.453 18.547 -76.343 81.453 19.940 19.94 224 0.875 bicubic
97 dpn92 -14 4.493 -75.523 95.507 18.200 -76.638 81.800 37.670 37.67 224 0.875 bicubic
98 hrnet_w44 +25 4.493 -74.401 95.507 17.347 -77.023 82.653 67.060 67.06 224 0.875 bilinear
99 regnetx_160 -10 4.373 -75.493 95.627 17.093 -77.735 82.907 54.280 54.28 224 0.875 bicubic
100 resnext50d_32x4d -4 4.347 -75.327 95.653 17.773 -77.095 82.227 25.050 25.05 224 0.875 bicubic
101 xception +18 4.347 -74.701 95.653 16.760 -77.632 83.240 22.860 22.86 299 0.897 bicubic
102 seresnext50_32x4d +14 4.280 -74.796 95.720 17.813 -76.621 82.187 27.560 27.56 224 0.875 bilinear
103 resnext50_32x4d -11 4.253 -75.509 95.747 18.387 -76.213 81.613 25.030 25.03 224 0.875 bicubic
104 tf_efficientnet_cc_b1_8e +4 4.240 -75.058 95.760 15.947 -78.417 84.053 39.720 39.72 240 0.882 bicubic
105 regnety_064 -11 4.227 -75.485 95.773 17.187 -77.587 82.813 30.580 30.58 224 0.875 bicubic
106 tf_efficientnet_el -38 4.227 -76.221 95.773 18.173 -76.987 81.827 10.590 10.59 300 0.904 bicubic
107 inception_v3 +64 4.187 -73.249 95.813 16.293 -77.183 83.707 23.830 23.83 299 0.875 bicubic
108 tf_efficientnet_b2_ap -34 4.173 -76.133 95.827 18.320 -76.708 81.680 9.110 9.11 260 0.890 bicubic
109 seresnet152 +24 4.147 -74.511 95.853 15.893 -78.481 84.107 66.820 66.82 224 0.875 bilinear
110 resnext101_32x8d -5 4.133 -75.179 95.867 16.987 -77.539 83.013 88.790 88.79 224 0.875 bilinear
111 tf_efficientnet_b0_ns +23 4.133 -74.519 95.867 17.680 -76.688 82.320 5.290 5.29 224 0.875 bicubic
112 dpn98 -15 4.080 -75.556 95.920 15.947 -78.647 84.053 61.570 61.57 224 0.875 bicubic
113 res2net101_26w_4s +2 4.000 -75.196 96.000 14.827 -79.613 85.173 45.210 45.21 224 0.875 bilinear
114 efficientnet_b1 +17 3.973 -74.725 96.027 15.760 -78.392 84.240 7.790 7.79 240 0.875 bicubic
115 tf_efficientnet_lite3 -24 3.933 -75.879 96.067 16.520 -78.394 83.480 8.200 8.20 300 0.904 bilinear
116 tf_efficientnet_b2 -34 3.773 -76.317 96.227 16.613 -78.293 83.387 9.110 9.11 260 0.890 bicubic
117 regnety_040 -5 3.747 -75.475 96.253 16.400 -78.256 83.600 20.650 20.65 224 0.875 bicubic
118 hrnet_w30 +31 3.680 -74.516 96.320 15.573 -78.647 84.427 37.710 37.71 224 0.875 bilinear
119 hrnet_w32 +23 3.653 -74.795 96.347 14.787 -79.401 85.213 41.230 41.23 224 0.875 bilinear
120 hrnet_w40 +2 3.653 -75.281 96.347 15.440 -79.026 84.560 57.560 57.56 224 0.875 bilinear
121 regnetx_120 -22 3.627 -75.963 96.373 15.973 -78.767 84.027 46.110 46.11 224 0.875 bicubic
122 seresnext26t_32x4d +34 3.613 -74.375 96.387 15.893 -77.813 84.107 16.820 16.82 224 0.875 bicubic
123 tf_efficientnet_b1_ap -13 3.547 -75.731 96.453 15.067 -79.241 84.933 7.790 7.79 240 0.882 bicubic
124 seresnext26tn_32x4d +31 3.507 -74.483 96.493 15.760 -77.988 84.240 16.810 16.81 224 0.875 bicubic
125 resnest26d +13 3.493 -74.989 96.507 15.667 -78.623 84.333 17.070 17.07 224 0.875 bilinear
126 dla169 +4 3.467 -75.243 96.533 15.333 -79.005 84.667 53.990 53.99 224 0.875 bilinear
127 gluon_resnext50_32x4d -24 3.453 -75.903 96.547 16.120 -78.304 83.880 25.030 25.03 224 0.875 bicubic
128 mixnet_l -7 3.440 -75.536 96.560 15.307 -78.877 84.693 7.330 7.33 224 0.875 bicubic
129 seresnext26d_32x4d +36 3.400 -74.204 96.600 16.160 -77.452 83.840 16.810 16.81 224 0.875 bicubic
130 res2net50_26w_8s -17 3.333 -75.877 96.667 14.040 -80.322 85.960 48.400 48.40 224 0.875 bilinear
131 resnetblur50 -22 3.333 -75.957 96.667 15.587 -79.045 84.413 25.560 25.56 224 0.875 bicubic
132 dla102x +4 3.307 -75.201 96.693 15.120 -79.114 84.880 26.770 26.77 224 0.875 bilinear
133 gluon_resnet101_v1c -33 3.307 -76.237 96.693 14.120 -80.466 85.880 44.570 44.57 224 0.875 bicubic
134 seresnet101 +10 3.253 -75.143 96.747 15.453 -78.805 84.547 49.330 49.33 224 0.875 bilinear
135 densenetblur121d +55 3.067 -73.509 96.933 14.280 -78.910 85.720 8.000 8.00 224 0.875 bicubic
136 dla60_res2next +5 3.040 -75.408 96.960 14.453 -79.691 85.547 17.330 17.33 224 0.875 bilinear
137 regnety_032 -13 3.027 -75.843 96.973 14.240 -80.162 85.760 19.440 19.44 224 0.875 bicubic
138 gluon_resnet50_v1d -21 3.013 -76.061 96.987 14.627 -79.849 85.373 25.580 25.58 224 0.875 bicubic
139 wide_resnet101_2 -14 2.960 -75.886 97.040 13.947 -80.337 86.053 126.890 126.89 224 0.875 bilinear
140 efficientnet_b1_pruned +7 2.933 -75.309 97.067 14.413 -79.419 85.587 6.330 6.33 240 0.882 bicubic
141 gluon_resnet50_v1s -12 2.920 -75.792 97.080 13.120 -81.122 86.880 25.680 25.68 224 0.875 bicubic
142 tf_efficientnet_b1 -16 2.867 -75.965 97.133 13.507 -80.689 86.493 7.790 7.79 240 0.882 bicubic
143 res2net50_26w_6s -8 2.840 -75.734 97.160 12.600 -81.526 87.400 37.050 37.05 224 0.875 bilinear
144 efficientnet_b0 +18 2.813 -74.879 97.187 13.907 -79.625 86.093 5.290 5.29 224 0.875 bicubic
145 tf_mixnet_l -17 2.813 -75.957 97.187 13.040 -80.964 86.960 7.330 7.33 224 0.875 bicubic
146 regnetx_064 -28 2.787 -76.279 97.213 13.880 -80.576 86.120 26.210 26.21 224 0.875 bicubic
147 dpn68b +21 2.707 -74.807 97.293 12.640 -81.182 87.360 12.610 12.61 224 0.875 bicubic
148 selecsls60b -5 2.693 -75.725 97.307 13.173 -80.993 86.827 32.770 32.77 224 0.875 bicubic
149 tf_efficientnet_cc_b0_8e +10 2.680 -75.228 97.320 12.773 -80.883 87.227 24.010 24.01 224 0.875 bicubic
150 dla60_res2net -11 2.640 -75.832 97.360 14.200 -80.004 85.800 21.150 21.15 224 0.875 bilinear
151 gluon_resnet101_v1b -44 2.627 -76.677 97.373 13.573 -80.951 86.427 44.550 44.55 224 0.875 bicubic
152 dla60x -6 2.613 -75.629 97.387 13.333 -80.689 86.667 17.650 17.65 224 0.875 bilinear
153 mixnet_m +25 2.547 -74.709 97.453 12.427 -80.991 87.573 5.010 5.01 224 0.875 bicubic
154 skresnet34 +31 2.520 -74.390 97.480 12.773 -80.543 87.227 22.280 22.28 224 0.875 bicubic
155 efficientnet_es -3 2.373 -75.681 97.627 13.880 -80.050 86.120 5.440 5.44 224 0.875 bicubic
156 resnet152 -11 2.360 -75.952 97.640 12.200 -81.846 87.800 60.190 60.19 224 0.875 bilinear
157 regnetx_080 -43 2.347 -76.851 97.653 12.693 -81.865 87.307 39.570 39.57 224 0.875 bicubic
158 swsl_resnet18 +64 2.333 -70.953 97.667 11.213 -80.519 88.787 11.690 11.69 224 0.875 bilinear
159 wide_resnet50_2 -19 2.320 -76.148 97.680 11.800 -82.286 88.200 68.880 68.88 224 0.875 bilinear
160 seresnext26_32x4d +20 2.293 -74.807 97.707 12.440 -80.870 87.560 16.790 16.79 224 0.875 bicubic
161 hrnet_w18 +26 2.267 -74.489 97.733 11.853 -81.589 88.147 21.300 21.30 224 0.875 bilinear
162 dla102 -9 2.253 -75.773 97.747 12.120 -81.830 87.880 33.730 33.73 224 0.875 bilinear
163 resnet50 -43 2.227 -76.805 97.773 11.333 -83.051 88.667 25.560 25.56 224 0.875 bicubic
164 regnety_016 -3 2.173 -75.679 97.827 11.440 -82.276 88.560 11.200 11.20 224 0.875 bicubic
165 regnetx_040 -28 2.160 -76.326 97.840 11.800 -82.442 88.200 22.120 22.12 224 0.875 bicubic
166 resnest14d +36 2.147 -73.357 97.853 10.400 -82.114 89.600 10.610 10.61 224 0.875 bilinear
167 selecsls60 -10 2.080 -75.902 97.920 12.840 -80.992 87.160 30.670 30.67 224 0.875 bicubic
168 tf_efficientnet_cc_b0_4e +6 2.080 -75.224 97.920 10.973 -82.359 89.027 13.310 13.31 224 0.875 bicubic
169 res2next50 -21 2.067 -76.175 97.933 11.453 -82.439 88.547 24.670 24.67 224 0.875 bilinear
170 seresnet50 -7 2.067 -75.569 97.933 12.267 -81.485 87.733 28.090 28.09 224 0.875 bilinear
171 densenet161 +2 1.973 -75.375 98.027 10.587 -83.061 89.413 28.680 28.68 224 0.875 bicubic
172 tf_efficientnet_b0_ap +9 1.960 -75.124 98.040 10.800 -82.454 89.200 5.290 5.29 224 0.875 bicubic
173 regnetx_032 -23 1.920 -76.246 98.080 10.947 -83.133 89.053 15.300 15.30 224 0.875 bicubic
174 tf_efficientnet_em -42 1.813 -76.885 98.187 11.627 -82.693 88.373 6.900 6.90 240 0.882 bicubic
175 tf_mixnet_m +8 1.813 -75.137 98.187 10.547 -82.609 89.453 5.010 5.01 224 0.875 bicubic
176 tf_efficientnet_lite2 -6 1.800 -75.660 98.200 11.147 -82.599 88.853 6.090 6.09 260 0.890 bicubic
177 res2net50_14w_8s -26 1.787 -76.365 98.213 10.347 -83.495 89.653 25.060 25.06 224 0.875 bilinear
178 res2net50_26w_4s -20 1.773 -76.173 98.227 10.440 -83.412 89.560 25.700 25.70 224 0.875 bilinear
179 mobilenetv3_large_100 +18 1.760 -74.008 98.240 10.293 -82.247 89.707 5.480 5.48 224 0.875 bicubic
180 densenet121 +20 1.733 -73.841 98.267 10.853 -81.803 89.147 7.980 7.98 224 0.875 bicubic
181 tf_efficientnet_b0 +5 1.693 -75.147 98.307 9.733 -83.493 90.267 5.290 5.29 224 0.875 bicubic
182 tv_resnext50_32x4d -18 1.680 -75.938 98.320 10.600 -83.098 89.400 25.030 25.03 224 0.875 bilinear
183 mobilenetv3_rw +16 1.667 -73.961 98.333 10.733 -81.977 89.267 5.480 5.48 224 0.875 bicubic
184 resnet101 -12 1.667 -75.707 98.333 9.813 -83.733 90.187 44.550 44.55 224 0.875 bilinear
185 mobilenetv2_120d -10 1.640 -75.654 98.360 10.453 -83.049 89.547 5.830 5.83 224 0.875 bicubic
186 mixnet_s +9 1.587 -74.401 98.413 10.253 -82.541 89.747 4.130 4.13 224 0.875 bicubic
187 densenet201 -11 1.547 -75.743 98.453 9.627 -83.851 90.373 20.010 20.01 224 0.875 bicubic
188 gluon_resnet50_v1c -34 1.547 -76.463 98.453 10.613 -83.375 89.387 25.580 25.58 224 0.875 bicubic
189 semnasnet_100 +14 1.547 -73.909 98.453 9.320 -83.272 90.680 3.890 3.89 224 0.875 bicubic
190 selecsls42b -11 1.467 -75.709 98.533 10.440 -82.952 89.560 32.460 32.46 224 0.875 bicubic
191 tf_efficientnet_lite1 -2 1.453 -75.185 98.547 9.707 -83.525 90.293 5.420 5.42 240 0.882 bicubic
192 regnety_008 = 1.427 -74.887 98.573 8.947 -84.115 91.053 6.260 6.26 224 0.875 bicubic
193 ssl_resnet18 +32 1.387 -71.213 98.613 8.160 -83.256 91.840 11.690 11.69 224 0.875 bilinear
194 dla60 -12 1.347 -75.677 98.653 9.467 -83.841 90.533 22.330 22.33 224 0.875 bilinear
195 dpn68 -2 1.347 -74.959 98.653 8.813 -84.157 91.187 12.610 12.61 224 0.875 bicubic
196 res2net50_48w_2s -27 1.307 -76.207 98.693 8.920 -84.628 91.080 25.290 25.29 224 0.875 bilinear
197 tf_mixnet_s +1 1.280 -74.368 98.720 8.747 -83.889 91.253 4.130 4.13 224 0.875 bicubic
198 mobilenetv2_140 -7 1.253 -75.271 98.747 9.107 -83.883 90.893 6.110 6.11 224 0.875 bicubic
199 fbnetc_100 +8 1.227 -73.893 98.773 8.747 -83.639 91.253 5.570 5.57 224 0.875 bilinear
200 resnet26d -12 1.227 -75.453 98.773 9.280 -83.886 90.720 16.010 16.01 224 0.875 bicubic
201 densenet169 -5 1.187 -74.725 98.813 8.320 -84.704 91.680 14.150 14.15 224 0.875 bicubic
202 tf_mobilenetv3_large_100 -1 1.187 -74.329 98.813 7.947 -84.653 92.053 5.480 5.48 224 0.875 bilinear
203 gluon_resnet50_v1b -36 1.160 -76.418 98.840 9.027 -84.691 90.973 25.560 25.56 224 0.875 bicubic
204 seresnet34 +8 1.120 -73.688 98.880 7.400 -84.726 92.600 21.960 21.96 224 0.875 bilinear
205 tf_efficientnet_es -28 1.120 -76.144 98.880 8.600 -85.000 91.400 5.440 5.44 224 0.875 bicubic
206 spnasnet_100 +11 1.107 -72.973 98.893 8.253 -83.579 91.747 4.420 4.42 224 0.875 bilinear
207 tf_efficientnet_lite0 +4 1.107 -73.735 98.893 7.493 -84.677 92.507 4.650 4.65 224 0.875 bicubic
208 regnetx_016 -24 1.093 -75.837 98.907 8.627 -84.791 91.373 9.190 9.19 224 0.875 bicubic
209 dla34 +6 1.080 -73.556 98.920 7.693 -84.371 92.307 15.780 15.78 224 0.875 bilinear
210 regnety_006 -5 1.053 -74.207 98.947 8.400 -84.128 91.600 6.060 6.06 224 0.875 bicubic
211 regnety_004 +7 1.013 -73.013 98.987 7.333 -84.415 92.667 4.340 4.34 224 0.875 bicubic
212 resnet34 -4 0.987 -74.125 99.013 7.533 -84.755 92.467 21.800 21.80 224 0.875 bilinear
213 mobilenetv2_110d -4 0.933 -74.119 99.067 8.107 -84.073 91.893 4.520 4.52 224 0.875 bicubic
214 gluon_resnet34_v1b +2 0.893 -73.687 99.107 6.600 -85.388 93.400 21.800 21.80 224 0.875 bicubic
215 hrnet_w18_small_v2 -9 0.893 -74.233 99.107 7.387 -85.029 92.613 15.600 15.60 224 0.875 bilinear
216 regnetx_008 -6 0.893 -74.129 99.107 6.907 -85.437 93.093 7.260 7.26 224 0.875 bicubic
217 skresnet18 +6 0.880 -72.164 99.120 7.387 -83.791 92.613 11.960 11.96 224 0.875 bicubic
218 mnasnet_100 -4 0.867 -73.789 99.133 7.867 -84.259 92.133 4.380 4.38 224 0.875 bicubic
219 tf_mobilenetv3_large_075 +1 0.867 -72.575 99.133 6.720 -84.632 93.280 3.990 3.99 224 0.875 bilinear
220 regnetx_006 -1 0.760 -73.102 99.240 6.493 -85.187 93.507 6.200 6.20 224 0.875 bicubic
221 tf_mobilenetv3_small_100 +13 0.747 -67.171 99.253 4.667 -82.995 95.333 2.540 2.54 224 0.875 bilinear
222 seresnet18 +7 0.720 -71.038 99.280 6.027 -84.307 93.973 11.780 11.78 224 0.875 bicubic
223 regnetx_004 +3 0.693 -71.713 99.307 5.507 -85.323 94.493 5.160 5.16 224 0.875 bicubic
224 tv_densenet121 -11 0.680 -74.072 99.320 6.907 -85.245 93.093 7.980 7.98 224 0.875 bicubic
225 regnety_002 +6 0.667 -69.615 99.333 5.533 -84.007 94.467 3.160 3.16 224 0.875 bicubic
226 tf_mobilenetv3_small_075 +11 0.627 -65.091 99.373 4.173 -81.963 95.827 2.040 2.04 224 0.875 bilinear
227 resnet26 -23 0.600 -74.692 99.400 6.880 -85.690 93.120 16.000 16.00 224 0.875 bicubic
228 tv_resnet34 -7 0.600 -72.714 99.400 5.520 -85.900 94.480 21.800 21.80 224 0.875 bilinear
229 mobilenetv2_100 -5 0.533 -72.445 99.467 6.187 -84.829 93.813 3.500 3.50 224 0.875 bicubic
230 dla46_c +8 0.520 -64.358 99.480 4.187 -82.099 95.813 1.310 1.31 224 0.875 bilinear
231 tf_mobilenetv3_large_minimal_100 -3 0.480 -71.764 99.520 4.880 -85.756 95.120 3.920 3.92 224 0.875 bilinear
232 dla60x_c +3 0.467 -67.441 99.533 5.213 -83.221 94.787 1.340 1.34 224 0.875 bilinear
233 hrnet_w18_small -6 0.453 -71.889 99.547 4.840 -85.832 95.160 13.190 13.19 224 0.875 bilinear
234 dla46x_c +2 0.413 -65.567 99.587 4.440 -82.540 95.560 1.080 1.08 224 0.875 bilinear
235 gluon_resnet18_v1b -5 0.387 -70.443 99.613 4.787 -84.969 95.213 11.690 11.69 224 0.875 bicubic
236 tf_mobilenetv3_small_minimal_100 +3 0.360 -62.538 99.640 2.867 -81.363 97.133 2.040 2.04 224 0.875 bilinear
237 resnet18 -5 0.293 -69.465 99.707 4.040 -85.038 95.960 11.690 11.69 224 0.875 bilinear
238 regnetx_002 -5 0.227 -68.527 99.773 3.987 -84.561 96.013 2.680 2.68 224 0.875 bicubic
239 tv_resnet50 -45 0.000 -76.130 100.000 2.893 -89.969 97.107 25.560 25.56 224 0.875 bilinear

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results/results-imagenetv2-matched-frequency.csv
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model,rank_diff,top1,top1_diff,top1_err,top5,top5_diff,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns_475,+1,80.470,-7.764,19.530,95.730,-2.816,4.270,480.310,475,0.936,bicubic
tf_efficientnet_l2_ns,-1,80.250,-8.102,19.750,95.850,-2.798,4.150,480.310,800,0.960,bicubic
tf_efficientnet_b7_ns,=,78.520,-8.318,21.480,94.370,-3.724,5.630,66.350,600,0.949,bicubic
tf_efficientnet_b6_ns,=,77.280,-9.182,22.720,93.890,-3.994,6.110,43.040,528,0.942,bicubic
ig_resnext101_32x48d,+1,76.870,-8.572,23.130,93.320,-4.252,6.680,828.410,224,0.875,bilinear
ig_resnext101_32x32d,+5,76.840,-8.252,23.160,93.190,-4.246,6.810,468.530,224,0.875,bilinear
tf_efficientnet_b5_ns,-2,76.820,-9.260,23.180,93.580,-4.174,6.420,30.390,456,0.934,bicubic
tf_efficientnet_b7_ap,+2,76.090,-9.028,23.910,92.970,-4.282,7.030,66.350,600,0.949,bicubic
tf_efficientnet_b8_ap,-1,76.090,-9.278,23.910,92.730,-4.564,7.270,87.410,672,0.954,bicubic
ig_resnext101_32x16d,+7,75.710,-8.466,24.290,92.900,-4.296,7.100,194.030,224,0.875,bilinear
tf_efficientnet_b4_ns,-2,75.690,-9.468,24.310,93.040,-4.428,6.960,19.340,380,0.922,bicubic
swsl_resnext101_32x8d,+2,75.450,-8.844,24.550,92.750,-4.424,7.250,88.790,224,0.875,bilinear
tf_efficientnet_b6_ap,=,75.380,-9.406,24.620,92.440,-4.698,7.560,43.040,528,0.942,bicubic
tf_efficientnet_b8,-7,74.930,-10.440,25.070,92.320,-5.072,7.680,87.410,672,0.954,bicubic
tf_efficientnet_b7,-3,74.720,-10.212,25.280,92.220,-4.988,7.780,66.350,600,0.949,bicubic
tf_efficientnet_b5_ap,-1,74.590,-9.664,25.410,91.990,-4.986,8.010,30.390,456,0.934,bicubic
swsl_resnext101_32x4d,+7,74.150,-9.084,25.850,91.990,-4.766,8.010,44.180,224,0.875,bilinear
swsl_resnext101_32x16d,+4,74.010,-9.328,25.990,92.170,-4.682,7.830,194.030,224,0.875,bilinear
resnest200e,+1,73.930,-9.904,26.070,91.580,-5.258,8.420,70.200,320,0.875,bilinear
tf_efficientnet_b6,-2,73.900,-10.212,26.100,91.750,-5.134,8.250,43.040,528,0.942,bicubic
tf_efficientnet_b3_ns,-2,73.870,-10.184,26.130,91.860,-5.052,8.140,12.230,300,0.904,bicubic
ig_resnext101_32x8d,+7,73.660,-9.028,26.340,92.150,-4.482,7.850,88.790,224,0.875,bilinear
tf_efficientnet_b5,-2,73.540,-10.276,26.460,91.460,-5.290,8.540,30.390,456,0.934,bicubic
resnest269e,-8,73.460,-10.726,26.540,91.680,-5.242,8.320,110.930,416,0.875,bilinear
tf_efficientnet_b4_ap,-2,72.890,-10.358,27.110,90.980,-5.408,9.020,19.340,380,0.922,bicubic
swsl_resnext50_32x4d,+7,72.580,-9.600,27.420,90.840,-5.388,9.160,25.030,224,0.875,bilinear
resnest101e,=,72.550,-10.340,27.450,90.810,-5.514,9.190,48.280,256,0.875,bilinear
tresnet_xl_448,-3,72.550,-10.498,27.450,90.310,-5.864,9.690,78.440,448,0.875,bilinear
pnasnet5large,-1,72.370,-10.370,27.630,90.260,-5.780,9.740,86.060,331,0.875,bicubic
nasnetalarge,=,72.310,-10.248,27.690,90.510,-5.526,9.490,88.750,331,0.875,bicubic
tf_efficientnet_b4,-5,72.280,-10.736,27.720,90.600,-5.698,9.400,19.340,380,0.922,bicubic
tf_efficientnet_b2_ns,-1,72.270,-10.110,27.730,91.090,-5.162,8.910,9.110,260,0.890,bicubic
swsl_resnet50,+15,71.690,-9.490,28.310,90.510,-5.476,9.490,25.560,224,0.875,bilinear
tresnet_xl,+1,71.650,-10.420,28.350,89.630,-6.298,10.370,78.440,224,0.875,bilinear
tresnet_l_448,-3,71.600,-10.668,28.400,90.060,-5.918,9.940,55.990,448,0.875,bilinear
ecaresnet101d,-2,71.500,-10.666,28.500,90.310,-5.742,9.690,44.570,224,0.875,bicubic
ssl_resnext101_32x8d,+4,71.490,-10.136,28.510,90.470,-5.568,9.530,88.790,224,0.875,bilinear
ssl_resnext101_32x16d,-1,71.400,-10.436,28.600,90.550,-5.544,9.450,194.030,224,0.875,bilinear
tresnet_m_448,=,71.000,-10.712,29.000,88.680,-6.890,11.320,31.390,448,0.875,bilinear
resnest50d_4s2x40d,+9,70.940,-10.174,29.060,89.710,-5.858,10.290,30.420,224,0.875,bicubic
tf_efficientnet_b3_ap,-3,70.920,-10.908,29.080,89.430,-6.194,10.570,12.230,300,0.904,bicubic
efficientnet_b3a,-6,70.870,-11.004,29.130,89.720,-6.120,10.280,12.230,320,1.000,bicubic
tf_efficientnet_b1_ns,+2,70.850,-10.536,29.150,90.110,-5.628,9.890,7.790,240,0.882,bicubic
tresnet_l,=,70.830,-10.658,29.170,89.610,-6.018,10.390,55.990,224,0.875,bilinear
efficientnet_b3,-2,70.760,-10.738,29.240,89.840,-5.878,10.160,12.230,300,0.904,bicubic
tf_efficientnet_b3,-6,70.620,-11.020,29.380,89.440,-6.282,10.560,12.230,300,0.904,bicubic
gluon_senet154,=,70.600,-10.624,29.400,88.920,-6.436,11.080,115.090,224,0.875,bicubic
ssl_resnext101_32x4d,+5,70.500,-10.428,29.500,89.760,-5.968,10.240,44.180,224,0.875,bilinear
senet154,-3,70.480,-10.824,29.520,88.990,-6.508,11.010,115.090,224,0.875,bilinear
gluon_seresnext101_64x4d,+5,70.440,-10.450,29.560,89.350,-5.954,10.650,88.230,224,0.875,bicubic
resnest50d_1s4x24d,=,70.430,-10.560,29.570,89.240,-6.082,10.760,25.680,224,0.875,bicubic
tf_efficientnet_lite4,-10,70.430,-11.098,29.570,89.120,-6.548,10.880,13.010,380,0.920,bilinear
resnest50d,-1,70.420,-10.538,29.580,88.760,-6.622,11.240,27.480,224,0.875,bilinear
gluon_resnet152_v1s,-4,70.320,-10.692,29.680,88.870,-6.546,11.130,60.320,224,0.875,bicubic
ecaresnet101d_pruned,+3,70.120,-10.688,29.880,89.580,-6.048,10.420,24.880,224,0.875,bicubic
inception_resnet_v2,+9,70.120,-10.340,29.880,88.680,-6.630,11.320,55.840,299,0.897,bicubic
gluon_seresnext101_32x4d,-3,70.010,-10.892,29.990,88.910,-6.384,11.090,48.960,224,0.875,bicubic
gluon_resnet152_v1d,+6,69.950,-10.520,30.050,88.470,-6.736,11.530,60.210,224,0.875,bicubic
ecaresnet50d,+2,69.830,-10.774,30.170,89.370,-5.952,10.630,25.580,224,0.875,bicubic
gluon_resnext101_64x4d,+2,69.690,-10.912,30.310,88.260,-6.734,11.740,83.460,224,0.875,bicubic
ssl_resnext50_32x4d,+11,69.690,-10.638,30.310,89.420,-5.984,10.580,25.030,224,0.875,bilinear
tresnet_m,-3,69.650,-11.146,30.350,88.000,-6.856,12.000,31.390,224,0.875,bilinear
efficientnet_b3_pruned,-7,69.580,-11.276,30.420,88.970,-6.270,11.030,9.860,300,0.904,bicubic
ens_adv_inception_resnet_v2,+19,69.520,-10.456,30.480,88.500,-6.446,11.500,55.840,299,0.897,bicubic
efficientnet_b2a,-5,69.490,-11.118,30.510,88.680,-6.630,11.320,9.110,288,1.000,bicubic
inception_v4,+13,69.350,-10.806,30.650,88.780,-6.194,11.220,42.680,299,0.875,bicubic
seresnext101_32x4d,+10,69.340,-10.896,30.660,88.050,-6.978,11.950,48.960,224,0.875,bilinear
ecaresnetlight,-2,69.330,-11.124,30.670,89.220,-6.036,10.780,30.160,224,0.875,bicubic
gluon_resnet152_v1c,+16,69.130,-10.786,30.870,87.890,-6.952,12.110,60.210,224,0.875,bicubic
mixnet_xl,-7,69.080,-11.398,30.920,88.310,-6.622,11.690,11.900,224,0.875,bicubic
efficientnet_b2,-2,69.000,-11.402,31.000,88.620,-6.456,11.380,9.110,260,0.875,bicubic
gluon_resnet101_v1d,-4,68.990,-11.434,31.010,88.080,-6.940,11.920,44.570,224,0.875,bicubic
gluon_xception65,+24,68.980,-10.624,31.020,88.320,-6.428,11.680,39.920,299,0.875,bicubic
gluon_resnext101_32x4d,-3,68.960,-11.374,31.040,88.340,-6.586,11.660,44.180,224,0.875,bicubic
tf_efficientnet_b2_ap,-2,68.930,-11.376,31.070,88.340,-6.688,11.660,9.110,260,0.890,bicubic
gluon_resnet152_v1b,+18,68.810,-10.882,31.190,87.710,-7.028,12.290,60.190,224,0.875,bicubic
dpn131,+12,68.760,-11.068,31.240,87.480,-7.224,12.520,79.250,224,0.875,bicubic
resnext50d_32x4d,+17,68.750,-10.924,31.250,88.310,-6.558,11.690,25.050,224,0.875,bicubic
tf_efficientnet_b2,+2,68.750,-11.340,31.250,87.950,-6.956,12.050,9.110,260,0.890,bicubic
gluon_resnet101_v1s,-6,68.720,-11.580,31.280,87.900,-7.250,12.100,44.670,224,0.875,bicubic
dpn107,-3,68.710,-11.454,31.290,88.130,-6.782,11.870,86.920,224,0.875,bicubic
gluon_seresnext50_32x4d,+4,68.670,-11.242,31.330,88.320,-6.498,11.680,27.560,224,0.875,bicubic
hrnet_w64,+17,68.630,-10.842,31.370,88.070,-6.580,11.930,128.060,224,0.875,bilinear
resnext50_32x4d,+7,68.610,-11.152,31.390,87.570,-7.030,12.430,25.030,224,0.875,bicubic
dpn98,+11,68.580,-11.056,31.420,87.660,-6.934,12.340,61.570,224,0.875,bicubic
ssl_resnet50,+24,68.420,-10.808,31.580,88.580,-6.252,11.420,25.560,224,0.875,bilinear
ecaresnet50d_pruned,+5,68.390,-11.328,31.610,88.370,-6.520,11.630,19.940,224,0.875,bicubic
skresnext50_32x4d,-8,68.390,-11.760,31.610,87.590,-7.054,12.410,27.480,224,0.875,bicubic
dla102x2,+12,68.340,-11.112,31.660,87.870,-6.774,12.130,41.750,224,0.875,bilinear
efficientnet_b2_pruned,-6,68.300,-11.618,31.700,88.100,-6.748,11.900,8.310,260,0.890,bicubic
gluon_resnext50_32x4d,+11,68.280,-11.076,31.720,87.320,-7.104,12.680,25.030,224,0.875,bicubic
tf_efficientnet_lite3,-2,68.230,-11.582,31.770,87.720,-7.194,12.280,8.200,300,0.904,bilinear
ese_vovnet39b,+10,68.190,-11.130,31.810,88.260,-6.450,11.740,24.570,224,0.875,bicubic
tf_efficientnet_el,-27,68.180,-12.268,31.820,88.350,-6.810,11.650,10.590,300,0.904,bicubic
dpn92,-13,68.010,-12.006,31.990,87.590,-7.248,12.410,37.670,224,0.875,bicubic
gluon_resnet50_v1d,+20,67.910,-11.164,32.090,87.120,-7.356,12.880,25.580,224,0.875,bicubic
seresnext50_32x4d,+18,67.870,-11.206,32.130,87.620,-6.814,12.380,27.560,224,0.875,bilinear
resnext101_32x8d,+6,67.850,-11.462,32.150,87.480,-7.046,12.520,88.790,224,0.875,bilinear
hrnet_w44,+23,67.770,-11.124,32.230,87.530,-6.840,12.470,67.060,224,0.875,bilinear
hrnet_w48,+5,67.770,-11.540,32.230,87.420,-7.098,12.580,77.470,224,0.875,bilinear
tf_efficientnet_b0_ns,+32,67.720,-10.932,32.280,88.080,-6.288,11.920,5.290,224,0.875,bicubic
xception,+16,67.670,-11.378,32.330,87.570,-6.822,12.430,22.860,299,0.897,bicubic
dla169,+26,67.610,-11.100,32.390,87.560,-6.778,12.440,53.990,224,0.875,bilinear
gluon_inception_v3,+22,67.590,-11.214,32.410,87.460,-6.920,12.540,23.830,299,0.875,bicubic
hrnet_w40,+16,67.590,-11.344,32.410,87.130,-7.336,12.870,57.560,224,0.875,bilinear
gluon_resnet101_v1c,-7,67.560,-11.984,32.440,87.160,-7.426,12.840,44.570,224,0.875,bicubic
seresnet152,+25,67.550,-11.108,32.450,87.390,-6.984,12.610,66.820,224,0.875,bilinear
res2net50_26w_8s,+4,67.530,-11.680,32.470,87.270,-7.092,12.730,48.400,224,0.875,bilinear
tf_efficientnet_b1_ap,=,67.520,-11.758,32.480,87.770,-6.538,12.230,7.790,240,0.882,bicubic
tf_efficientnet_cc_b1_8e,-3,67.480,-11.818,32.520,87.310,-7.054,12.690,39.720,240,0.882,bicubic
gluon_resnet101_v1b,-5,67.450,-11.854,32.550,87.230,-7.294,12.770,44.550,224,0.875,bicubic
res2net101_26w_4s,+2,67.450,-11.746,32.550,87.010,-7.430,12.990,45.210,224,0.875,bilinear
resnet50,+6,67.440,-11.592,32.560,87.420,-6.964,12.580,25.560,224,0.875,bicubic
resnetblur50,-6,67.440,-11.850,32.560,87.430,-7.202,12.570,25.560,224,0.875,bicubic
resnest26d,+22,67.210,-11.272,32.790,87.180,-7.110,12.820,17.070,224,0.875,bilinear
efficientnet_b1,+14,67.160,-11.538,32.840,87.150,-7.002,12.850,7.790,240,0.875,bicubic
seresnet101,+26,67.150,-11.246,32.850,87.050,-7.208,12.950,49.330,224,0.875,bilinear
gluon_resnet50_v1s,+10,67.100,-11.612,32.900,86.860,-7.382,13.140,25.680,224,0.875,bicubic
dla60x,+26,67.080,-11.162,32.920,87.170,-6.852,12.830,17.650,224,0.875,bilinear
dla60_res2net,+18,67.030,-11.442,32.970,87.140,-7.064,12.860,21.150,224,0.875,bilinear
resnet152,+23,67.020,-11.292,32.980,87.570,-6.476,12.430,60.190,224,0.875,bilinear
dla102x,+13,67.000,-11.508,33.000,86.770,-7.464,13.230,26.770,224,0.875,bilinear
mixnet_l,-3,66.970,-12.006,33.030,86.940,-7.244,13.060,7.330,224,0.875,bicubic
res2net50_26w_6s,+10,66.910,-11.664,33.090,86.900,-7.226,13.100,37.050,224,0.875,bilinear
efficientnet_es,+26,66.890,-11.164,33.110,86.730,-7.200,13.270,5.440,224,0.875,bicubic
tf_efficientnet_b1,-1,66.890,-11.942,33.110,87.040,-7.156,12.960,7.790,240,0.882,bicubic
tf_efficientnet_em,+4,66.870,-11.828,33.130,86.980,-7.340,13.020,6.900,240,0.882,bicubic
hrnet_w32,+13,66.790,-11.658,33.210,87.290,-6.898,12.710,41.230,224,0.875,bilinear
tf_mixnet_l,-2,66.780,-11.990,33.220,86.460,-7.544,13.540,7.330,224,0.875,bicubic
hrnet_w30,+18,66.760,-11.436,33.240,86.790,-7.430,13.210,37.710,224,0.875,bilinear
selecsls60b,+11,66.720,-11.698,33.280,86.540,-7.626,13.460,32.770,224,0.875,bicubic
wide_resnet101_2,-8,66.680,-12.166,33.320,87.040,-7.244,12.960,126.890,224,0.875,bilinear
wide_resnet50_2,+6,66.650,-11.818,33.350,86.810,-7.276,13.190,68.880,224,0.875,bilinear
dla60_res2next,+6,66.640,-11.808,33.360,87.020,-7.124,12.980,17.330,224,0.875,bilinear
adv_inception_v3,+30,66.600,-10.980,33.400,86.560,-7.164,13.440,23.830,299,0.875,bicubic
dla102,+16,66.550,-11.476,33.450,86.910,-7.040,13.090,33.730,224,0.875,bilinear
gluon_resnet50_v1c,+16,66.540,-11.470,33.460,86.160,-7.828,13.840,25.580,224,0.875,bicubic
tf_inception_v3,+21,66.420,-11.436,33.580,86.680,-6.964,13.320,23.830,299,0.875,bicubic
efficientnet_b0,+22,66.250,-11.442,33.750,85.950,-7.582,14.050,5.290,224,0.875,bicubic
seresnet50,+22,66.240,-11.396,33.760,86.330,-7.422,13.670,28.090,224,0.875,bilinear
selecsls60,+15,66.220,-11.762,33.780,86.330,-7.502,13.670,30.670,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,+16,66.210,-11.698,33.790,86.220,-7.436,13.780,24.010,224,0.875,bicubic
tv_resnext50_32x4d,+20,66.180,-11.438,33.820,86.040,-7.658,13.960,25.030,224,0.875,bilinear
res2net50_26w_4s,+13,66.170,-11.776,33.830,86.600,-7.252,13.400,25.700,224,0.875,bilinear
inception_v3,+25,66.120,-11.316,33.880,86.340,-7.136,13.660,23.830,299,0.875,bicubic
efficientnet_b1_pruned,=,66.080,-12.162,33.920,86.580,-7.252,13.420,6.330,240,0.882,bicubic
gluon_resnet50_v1b,+19,66.040,-11.538,33.960,86.270,-7.448,13.730,25.560,224,0.875,bicubic
res2net50_14w_8s,+2,66.020,-12.132,33.980,86.240,-7.602,13.760,25.060,224,0.875,bilinear
densenet161,+23,65.850,-11.498,34.150,86.460,-7.188,13.540,28.680,224,0.875,bicubic
res2next50,-3,65.850,-12.392,34.150,85.830,-8.062,14.170,24.670,224,0.875,bilinear
seresnext26tn_32x4d,+3,65.850,-12.140,34.150,85.680,-8.068,14.320,16.810,224,0.875,bicubic
skresnet34,+32,65.770,-11.140,34.230,85.960,-7.356,14.040,22.280,224,0.875,bicubic
resnet101,+18,65.680,-11.694,34.320,85.980,-7.566,14.020,44.550,224,0.875,bilinear
dpn68b,+13,65.600,-11.914,34.400,85.940,-7.882,14.060,12.610,224,0.875,bicubic
seresnext26t_32x4d,=,65.600,-12.388,34.400,86.090,-7.616,13.910,16.820,224,0.875,bicubic
selecsls42b,+22,65.590,-11.586,34.410,85.830,-7.562,14.170,32.460,224,0.875,bicubic
tf_efficientnet_b0_ap,+23,65.490,-11.594,34.510,85.550,-7.704,14.450,5.290,224,0.875,bicubic
seresnext26d_32x4d,+6,65.420,-12.184,34.580,85.970,-7.642,14.030,16.810,224,0.875,bicubic
tf_efficientnet_lite2,+10,65.390,-12.070,34.610,86.030,-7.716,13.970,6.090,260,0.890,bicubic
res2net50_48w_2s,+8,65.320,-12.194,34.680,85.960,-7.588,14.040,25.290,224,0.875,bilinear
densenetblur121d,+28,65.300,-11.276,34.700,85.710,-7.480,14.290,8.000,224,0.875,bicubic
densenet201,+13,65.280,-12.010,34.720,85.670,-7.808,14.330,20.010,224,0.875,bicubic
tf_efficientnet_es,+13,65.240,-12.024,34.760,85.540,-8.060,14.460,5.440,224,0.875,bicubic
dla60,+17,65.220,-11.804,34.780,85.750,-7.558,14.250,22.330,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,+8,65.130,-12.174,34.870,85.130,-8.202,14.870,13.310,224,0.875,bicubic
mobilenetv2_120d,+8,65.040,-12.254,34.960,85.990,-7.512,14.010,5.830,224,0.875,bicubic
seresnext26_32x4d,+12,65.040,-12.060,34.960,85.650,-7.660,14.350,16.790,224,0.875,bicubic
hrnet_w18,+18,64.910,-11.846,35.090,85.750,-7.692,14.250,21.300,224,0.875,bilinear
densenet169,+26,64.780,-11.132,35.220,85.250,-7.774,14.750,14.150,224,0.875,bicubic
mixnet_m,+7,64.690,-12.566,35.310,85.470,-7.948,14.530,5.010,224,0.875,bicubic
resnet26d,+16,64.630,-12.050,35.370,85.120,-8.046,14.880,16.010,224,0.875,bicubic
tf_efficientnet_lite1,+16,64.370,-12.268,35.630,85.490,-7.742,14.510,5.420,240,0.882,bicubic
tf_efficientnet_b0,+12,64.290,-12.550,35.710,85.250,-7.976,14.750,5.290,224,0.875,bicubic
tf_mixnet_m,+8,64.270,-12.680,35.730,85.090,-8.066,14.910,5.010,224,0.875,bicubic
dpn68,+17,64.220,-12.086,35.780,85.180,-7.790,14.820,12.610,224,0.875,bicubic
mobilenetv2_140,+14,64.050,-12.474,35.950,85.020,-7.970,14.980,6.110,224,0.875,bicubic
densenet121,+22,63.740,-11.834,36.260,84.630,-8.026,15.370,7.980,224,0.875,bicubic
resnest14d,+23,63.600,-11.904,36.400,84.220,-8.294,15.780,10.610,224,0.875,bilinear
tf_mixnet_s,+18,63.590,-12.058,36.410,84.270,-8.366,15.730,4.130,224,0.875,bicubic
resnet26,+23,63.450,-11.842,36.550,84.270,-8.300,15.730,16.000,224,0.875,bicubic
mixnet_s,+13,63.380,-12.608,36.620,84.710,-8.084,15.290,4.130,224,0.875,bicubic
mobilenetv3_large_100,+14,63.360,-12.408,36.640,84.080,-8.460,15.920,5.480,224,0.875,bicubic
tv_resnet50,+10,63.330,-12.800,36.670,84.650,-8.212,15.350,25.560,224,0.875,bilinear
mobilenetv3_rw,+14,63.230,-12.398,36.770,84.520,-8.190,15.480,5.480,224,0.875,bicubic
semnasnet_100,+17,63.120,-12.336,36.880,84.530,-8.062,15.470,3.890,224,0.875,bicubic
tv_densenet121,+26,62.940,-11.812,37.060,84.260,-7.892,15.740,7.980,224,0.875,bicubic
seresnet34,+24,62.890,-11.918,37.110,84.220,-7.906,15.780,21.960,224,0.875,bilinear
hrnet_w18_small_v2,+17,62.830,-12.296,37.170,83.970,-8.446,16.030,15.600,224,0.875,bilinear
mobilenetv2_110d,+19,62.820,-12.232,37.180,84.480,-7.700,15.520,4.520,224,0.875,bicubic
resnet34,+17,62.820,-12.292,37.180,84.120,-8.168,15.880,21.800,224,0.875,bilinear
swsl_resnet18,+30,62.730,-10.556,37.270,84.300,-7.432,15.700,11.690,224,0.875,bilinear
tf_efficientnet_lite0,+18,62.580,-12.262,37.420,84.250,-7.920,15.750,4.650,224,0.875,bicubic
gluon_resnet34_v1b,+22,62.560,-12.020,37.440,84.000,-7.988,16.000,21.800,224,0.875,bicubic
dla34,+20,62.510,-12.126,37.490,83.920,-8.144,16.080,15.780,224,0.875,bilinear
tf_mobilenetv3_large_100,+5,62.470,-13.046,37.530,83.960,-8.640,16.040,5.480,224,0.875,bilinear
fbnetc_100,+10,62.430,-12.690,37.570,83.390,-8.996,16.610,5.570,224,0.875,bilinear
mnasnet_100,+16,61.910,-12.746,38.090,83.710,-8.416,16.290,4.380,224,0.875,bicubic
ssl_resnet18,+26,61.490,-11.110,38.510,83.330,-8.086,16.670,11.690,224,0.875,bilinear
spnasnet_100,+17,61.210,-12.870,38.790,82.770,-9.062,17.230,4.420,224,0.875,bilinear
tv_resnet34,+20,61.200,-12.114,38.800,82.720,-8.700,17.280,21.800,224,0.875,bilinear
skresnet18,+21,60.850,-12.194,39.150,82.880,-8.298,17.120,11.960,224,0.875,bicubic
tf_mobilenetv3_large_075,+17,60.380,-13.062,39.620,81.960,-9.392,18.040,3.990,224,0.875,bilinear
mobilenetv2_100,+20,60.160,-12.818,39.840,82.240,-8.776,17.760,3.500,224,0.875,bicubic
seresnet18,+24,59.810,-11.948,40.190,81.680,-8.654,18.320,11.780,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,+22,59.070,-13.174,40.930,81.140,-9.496,18.860,3.920,224,0.875,bilinear
hrnet_w18_small,+20,58.970,-13.372,41.030,81.340,-9.332,18.660,13.190,224,0.875,bilinear
gluon_resnet18_v1b,+22,58.320,-12.510,41.680,80.960,-8.796,19.040,11.690,224,0.875,bicubic
resnet18,+23,57.180,-12.578,42.820,80.190,-8.888,19.810,11.690,224,0.875,bilinear
dla60x_c,+25,56.020,-11.888,43.980,78.960,-9.474,21.040,1.340,224,0.875,bilinear
tf_mobilenetv3_small_100,+23,54.510,-13.408,45.490,77.080,-10.582,22.920,2.540,224,0.875,bilinear
dla46x_c,+24,53.080,-12.900,46.920,76.840,-10.140,23.160,1.080,224,0.875,bilinear
dla46_c,+25,52.200,-12.678,47.800,75.680,-10.606,24.320,1.310,224,0.875,bilinear
tf_mobilenetv3_small_075,+23,52.150,-13.568,47.850,75.460,-10.676,24.540,2.040,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,+24,49.530,-13.368,50.470,73.050,-11.180,26.950,2.040,224,0.875,bilinear
tf_efficientnet_l2_ns_475,+1,80.470,-7.764,19.530,95.730,-2.816,4.270,480.31,475,0.936,bicubic
tf_efficientnet_l2_ns,-1,80.250,-8.102,19.750,95.850,-2.798,4.150,480.31,800,0.960,bicubic
tf_efficientnet_b7_ns,=,78.520,-8.318,21.480,94.370,-3.724,5.630,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,=,77.280,-9.182,22.720,93.890,-3.994,6.110,43.04,528,0.942,bicubic
ig_resnext101_32x48d,+1,76.870,-8.572,23.130,93.320,-4.252,6.680,828.41,224,0.875,bilinear
ig_resnext101_32x32d,+5,76.840,-8.252,23.160,93.190,-4.246,6.810,468.53,224,0.875,bilinear
tf_efficientnet_b5_ns,-2,76.820,-9.260,23.180,93.580,-4.174,6.420,30.39,456,0.934,bicubic
tf_efficientnet_b7_ap,+2,76.090,-9.028,23.910,92.970,-4.282,7.030,66.35,600,0.949,bicubic
tf_efficientnet_b8_ap,-1,76.090,-9.278,23.910,92.730,-4.564,7.270,87.41,672,0.954,bicubic
ig_resnext101_32x16d,+7,75.710,-8.466,24.290,92.900,-4.296,7.100,194.03,224,0.875,bilinear
tf_efficientnet_b4_ns,-2,75.690,-9.468,24.310,93.040,-4.428,6.960,19.34,380,0.922,bicubic
swsl_resnext101_32x8d,+2,75.450,-8.844,24.550,92.750,-4.424,7.250,88.79,224,0.875,bilinear
tf_efficientnet_b6_ap,=,75.380,-9.406,24.620,92.440,-4.698,7.560,43.04,528,0.942,bicubic
tf_efficientnet_b8,-7,74.930,-10.440,25.070,92.320,-5.072,7.680,87.41,672,0.954,bicubic
tf_efficientnet_b7,-3,74.720,-10.212,25.280,92.220,-4.988,7.780,66.35,600,0.949,bicubic
tf_efficientnet_b5_ap,-1,74.590,-9.664,25.410,91.990,-4.986,8.010,30.39,456,0.934,bicubic
swsl_resnext101_32x4d,+7,74.150,-9.084,25.850,91.990,-4.766,8.010,44.18,224,0.875,bilinear
swsl_resnext101_32x16d,+4,74.010,-9.328,25.990,92.170,-4.682,7.830,194.03,224,0.875,bilinear
resnest200e,+1,73.930,-9.904,26.070,91.580,-5.258,8.420,70.20,320,0.875,bilinear
tf_efficientnet_b6,-2,73.900,-10.212,26.100,91.750,-5.134,8.250,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,-2,73.870,-10.184,26.130,91.860,-5.052,8.140,12.23,300,0.904,bicubic
ig_resnext101_32x8d,+7,73.660,-9.028,26.340,92.150,-4.482,7.850,88.79,224,0.875,bilinear
tf_efficientnet_b5,-2,73.540,-10.276,26.460,91.460,-5.290,8.540,30.39,456,0.934,bicubic
resnest269e,-8,73.460,-10.726,26.540,91.680,-5.242,8.320,110.93,416,0.875,bilinear
tf_efficientnet_b4_ap,-2,72.890,-10.358,27.110,90.980,-5.408,9.020,19.34,380,0.922,bicubic
swsl_resnext50_32x4d,+7,72.580,-9.600,27.420,90.840,-5.388,9.160,25.03,224,0.875,bilinear
resnest101e,=,72.550,-10.340,27.450,90.810,-5.514,9.190,48.28,256,0.875,bilinear
tresnet_xl_448,-3,72.550,-10.498,27.450,90.310,-5.864,9.690,78.44,448,0.875,bilinear
pnasnet5large,-1,72.370,-10.370,27.630,90.260,-5.780,9.740,86.06,331,0.875,bicubic
nasnetalarge,=,72.310,-10.248,27.690,90.510,-5.526,9.490,88.75,331,0.875,bicubic
tf_efficientnet_b4,-5,72.280,-10.736,27.720,90.600,-5.698,9.400,19.34,380,0.922,bicubic
tf_efficientnet_b2_ns,-1,72.270,-10.110,27.730,91.090,-5.162,8.910,9.11,260,0.890,bicubic
swsl_resnet50,+15,71.690,-9.490,28.310,90.510,-5.476,9.490,25.56,224,0.875,bilinear
tresnet_xl,+1,71.650,-10.420,28.350,89.630,-6.298,10.370,78.44,224,0.875,bilinear
tresnet_l_448,-3,71.600,-10.668,28.400,90.060,-5.918,9.940,55.99,448,0.875,bilinear
ecaresnet101d,-2,71.500,-10.666,28.500,90.310,-5.742,9.690,44.57,224,0.875,bicubic
ssl_resnext101_32x8d,+4,71.490,-10.136,28.510,90.470,-5.568,9.530,88.79,224,0.875,bilinear
ssl_resnext101_32x16d,-1,71.400,-10.436,28.600,90.550,-5.544,9.450,194.03,224,0.875,bilinear
tresnet_m_448,=,71.000,-10.712,29.000,88.680,-6.890,11.320,31.39,448,0.875,bilinear
resnest50d_4s2x40d,+9,70.940,-10.174,29.060,89.710,-5.858,10.290,30.42,224,0.875,bicubic
tf_efficientnet_b3_ap,-3,70.920,-10.908,29.080,89.430,-6.194,10.570,12.23,300,0.904,bicubic
efficientnet_b3a,-6,70.870,-11.004,29.130,89.720,-6.120,10.280,12.23,320,1.000,bicubic
tf_efficientnet_b1_ns,+2,70.850,-10.536,29.150,90.110,-5.628,9.890,7.79,240,0.882,bicubic
tresnet_l,=,70.830,-10.658,29.170,89.610,-6.018,10.390,55.99,224,0.875,bilinear
efficientnet_b3,-2,70.760,-10.738,29.240,89.840,-5.878,10.160,12.23,300,0.904,bicubic
tf_efficientnet_b3,-6,70.620,-11.020,29.380,89.440,-6.282,10.560,12.23,300,0.904,bicubic
gluon_senet154,=,70.600,-10.624,29.400,88.920,-6.436,11.080,115.09,224,0.875,bicubic
ssl_resnext101_32x4d,+5,70.500,-10.428,29.500,89.760,-5.968,10.240,44.18,224,0.875,bilinear
senet154,-3,70.480,-10.824,29.520,88.990,-6.508,11.010,115.09,224,0.875,bilinear
gluon_seresnext101_64x4d,+5,70.440,-10.450,29.560,89.350,-5.954,10.650,88.23,224,0.875,bicubic
resnest50d_1s4x24d,=,70.430,-10.560,29.570,89.240,-6.082,10.760,25.68,224,0.875,bicubic
tf_efficientnet_lite4,-10,70.430,-11.098,29.570,89.120,-6.548,10.880,13.01,380,0.920,bilinear
resnest50d,-1,70.420,-10.538,29.580,88.760,-6.622,11.240,27.48,224,0.875,bilinear
gluon_resnet152_v1s,-4,70.320,-10.692,29.680,88.870,-6.546,11.130,60.32,224,0.875,bicubic
ecaresnet101d_pruned,+3,70.120,-10.688,29.880,89.580,-6.048,10.420,24.88,224,0.875,bicubic
inception_resnet_v2,+9,70.120,-10.340,29.880,88.680,-6.630,11.320,55.84,299,0.897,bicubic
gluon_seresnext101_32x4d,-3,70.010,-10.892,29.990,88.910,-6.384,11.090,48.96,224,0.875,bicubic
gluon_resnet152_v1d,+6,69.950,-10.520,30.050,88.470,-6.736,11.530,60.21,224,0.875,bicubic
ecaresnet50d,+2,69.830,-10.774,30.170,89.370,-5.952,10.630,25.58,224,0.875,bicubic
gluon_resnext101_64x4d,+2,69.690,-10.912,30.310,88.260,-6.734,11.740,83.46,224,0.875,bicubic
ssl_resnext50_32x4d,+11,69.690,-10.638,30.310,89.420,-5.984,10.580,25.03,224,0.875,bilinear
tresnet_m,-3,69.650,-11.146,30.350,88.000,-6.856,12.000,31.39,224,0.875,bilinear
efficientnet_b3_pruned,-7,69.580,-11.276,30.420,88.970,-6.270,11.030,9.86,300,0.904,bicubic
ens_adv_inception_resnet_v2,+19,69.520,-10.456,30.480,88.500,-6.446,11.500,55.84,299,0.897,bicubic
efficientnet_b2a,-5,69.490,-11.118,30.510,88.680,-6.630,11.320,9.11,288,1.000,bicubic
inception_v4,+13,69.350,-10.806,30.650,88.780,-6.194,11.220,42.68,299,0.875,bicubic
seresnext101_32x4d,+10,69.340,-10.896,30.660,88.050,-6.978,11.950,48.96,224,0.875,bilinear
ecaresnetlight,-2,69.330,-11.124,30.670,89.220,-6.036,10.780,30.16,224,0.875,bicubic
gluon_resnet152_v1c,+16,69.130,-10.786,30.870,87.890,-6.952,12.110,60.21,224,0.875,bicubic
mixnet_xl,-7,69.080,-11.398,30.920,88.310,-6.622,11.690,11.90,224,0.875,bicubic
efficientnet_b2,-2,69.000,-11.402,31.000,88.620,-6.456,11.380,9.11,260,0.875,bicubic
gluon_resnet101_v1d,-4,68.990,-11.434,31.010,88.080,-6.940,11.920,44.57,224,0.875,bicubic
gluon_xception65,+24,68.980,-10.624,31.020,88.320,-6.428,11.680,39.92,299,0.875,bicubic
gluon_resnext101_32x4d,-3,68.960,-11.374,31.040,88.340,-6.586,11.660,44.18,224,0.875,bicubic
tf_efficientnet_b2_ap,-2,68.930,-11.376,31.070,88.340,-6.688,11.660,9.11,260,0.890,bicubic
gluon_resnet152_v1b,+18,68.810,-10.882,31.190,87.710,-7.028,12.290,60.19,224,0.875,bicubic
dpn131,+12,68.760,-11.068,31.240,87.480,-7.224,12.520,79.25,224,0.875,bicubic
resnext50d_32x4d,+17,68.750,-10.924,31.250,88.310,-6.558,11.690,25.05,224,0.875,bicubic
tf_efficientnet_b2,+2,68.750,-11.340,31.250,87.950,-6.956,12.050,9.11,260,0.890,bicubic
gluon_resnet101_v1s,-6,68.720,-11.580,31.280,87.900,-7.250,12.100,44.67,224,0.875,bicubic
dpn107,-3,68.710,-11.454,31.290,88.130,-6.782,11.870,86.92,224,0.875,bicubic
gluon_seresnext50_32x4d,+4,68.670,-11.242,31.330,88.320,-6.498,11.680,27.56,224,0.875,bicubic
hrnet_w64,+17,68.630,-10.842,31.370,88.070,-6.580,11.930,128.06,224,0.875,bilinear
resnext50_32x4d,+7,68.610,-11.152,31.390,87.570,-7.030,12.430,25.03,224,0.875,bicubic
dpn98,+11,68.580,-11.056,31.420,87.660,-6.934,12.340,61.57,224,0.875,bicubic
ssl_resnet50,+24,68.420,-10.808,31.580,88.580,-6.252,11.420,25.56,224,0.875,bilinear
ecaresnet50d_pruned,+5,68.390,-11.328,31.610,88.370,-6.520,11.630,19.94,224,0.875,bicubic
skresnext50_32x4d,-8,68.390,-11.760,31.610,87.590,-7.054,12.410,27.48,224,0.875,bicubic
dla102x2,+12,68.340,-11.112,31.660,87.870,-6.774,12.130,41.75,224,0.875,bilinear
efficientnet_b2_pruned,-6,68.300,-11.618,31.700,88.100,-6.748,11.900,8.31,260,0.890,bicubic
gluon_resnext50_32x4d,+11,68.280,-11.076,31.720,87.320,-7.104,12.680,25.03,224,0.875,bicubic
tf_efficientnet_lite3,-2,68.230,-11.582,31.770,87.720,-7.194,12.280,8.20,300,0.904,bilinear
ese_vovnet39b,+10,68.190,-11.130,31.810,88.260,-6.450,11.740,24.57,224,0.875,bicubic
tf_efficientnet_el,-27,68.180,-12.268,31.820,88.350,-6.810,11.650,10.59,300,0.904,bicubic
dpn92,-13,68.010,-12.006,31.990,87.590,-7.248,12.410,37.67,224,0.875,bicubic
gluon_resnet50_v1d,+20,67.910,-11.164,32.090,87.120,-7.356,12.880,25.58,224,0.875,bicubic
seresnext50_32x4d,+18,67.870,-11.206,32.130,87.620,-6.814,12.380,27.56,224,0.875,bilinear
resnext101_32x8d,+6,67.850,-11.462,32.150,87.480,-7.046,12.520,88.79,224,0.875,bilinear
hrnet_w44,+23,67.770,-11.124,32.230,87.530,-6.840,12.470,67.06,224,0.875,bilinear
hrnet_w48,+5,67.770,-11.540,32.230,87.420,-7.098,12.580,77.47,224,0.875,bilinear
tf_efficientnet_b0_ns,+32,67.720,-10.932,32.280,88.080,-6.288,11.920,5.29,224,0.875,bicubic
xception,+16,67.670,-11.378,32.330,87.570,-6.822,12.430,22.86,299,0.897,bicubic
dla169,+26,67.610,-11.100,32.390,87.560,-6.778,12.440,53.99,224,0.875,bilinear
gluon_inception_v3,+22,67.590,-11.214,32.410,87.460,-6.920,12.540,23.83,299,0.875,bicubic
hrnet_w40,+16,67.590,-11.344,32.410,87.130,-7.336,12.870,57.56,224,0.875,bilinear
gluon_resnet101_v1c,-7,67.560,-11.984,32.440,87.160,-7.426,12.840,44.57,224,0.875,bicubic
seresnet152,+25,67.550,-11.108,32.450,87.390,-6.984,12.610,66.82,224,0.875,bilinear
res2net50_26w_8s,+4,67.530,-11.680,32.470,87.270,-7.092,12.730,48.40,224,0.875,bilinear
tf_efficientnet_b1_ap,=,67.520,-11.758,32.480,87.770,-6.538,12.230,7.79,240,0.882,bicubic
tf_efficientnet_cc_b1_8e,-3,67.480,-11.818,32.520,87.310,-7.054,12.690,39.72,240,0.882,bicubic
gluon_resnet101_v1b,-5,67.450,-11.854,32.550,87.230,-7.294,12.770,44.55,224,0.875,bicubic
res2net101_26w_4s,+2,67.450,-11.746,32.550,87.010,-7.430,12.990,45.21,224,0.875,bilinear
resnet50,+6,67.440,-11.592,32.560,87.420,-6.964,12.580,25.56,224,0.875,bicubic
resnetblur50,-6,67.440,-11.850,32.560,87.430,-7.202,12.570,25.56,224,0.875,bicubic
resnest26d,+22,67.210,-11.272,32.790,87.180,-7.110,12.820,17.07,224,0.875,bilinear
efficientnet_b1,+14,67.160,-11.538,32.840,87.150,-7.002,12.850,7.79,240,0.875,bicubic
seresnet101,+26,67.150,-11.246,32.850,87.050,-7.208,12.950,49.33,224,0.875,bilinear
gluon_resnet50_v1s,+10,67.100,-11.612,32.900,86.860,-7.382,13.140,25.68,224,0.875,bicubic
dla60x,+26,67.080,-11.162,32.920,87.170,-6.852,12.830,17.65,224,0.875,bilinear
dla60_res2net,+18,67.030,-11.442,32.970,87.140,-7.064,12.860,21.15,224,0.875,bilinear
resnet152,+23,67.020,-11.292,32.980,87.570,-6.476,12.430,60.19,224,0.875,bilinear
dla102x,+13,67.000,-11.508,33.000,86.770,-7.464,13.230,26.77,224,0.875,bilinear
mixnet_l,-3,66.970,-12.006,33.030,86.940,-7.244,13.060,7.33,224,0.875,bicubic
res2net50_26w_6s,+10,66.910,-11.664,33.090,86.900,-7.226,13.100,37.05,224,0.875,bilinear
efficientnet_es,+26,66.890,-11.164,33.110,86.730,-7.200,13.270,5.44,224,0.875,bicubic
tf_efficientnet_b1,-1,66.890,-11.942,33.110,87.040,-7.156,12.960,7.79,240,0.882,bicubic
tf_efficientnet_em,+4,66.870,-11.828,33.130,86.980,-7.340,13.020,6.90,240,0.882,bicubic
hrnet_w32,+13,66.790,-11.658,33.210,87.290,-6.898,12.710,41.23,224,0.875,bilinear
tf_mixnet_l,-2,66.780,-11.990,33.220,86.460,-7.544,13.540,7.33,224,0.875,bicubic
hrnet_w30,+18,66.760,-11.436,33.240,86.790,-7.430,13.210,37.71,224,0.875,bilinear
selecsls60b,+11,66.720,-11.698,33.280,86.540,-7.626,13.460,32.77,224,0.875,bicubic
wide_resnet101_2,-8,66.680,-12.166,33.320,87.040,-7.244,12.960,126.89,224,0.875,bilinear
wide_resnet50_2,+6,66.650,-11.818,33.350,86.810,-7.276,13.190,68.88,224,0.875,bilinear
dla60_res2next,+6,66.640,-11.808,33.360,87.020,-7.124,12.980,17.33,224,0.875,bilinear
adv_inception_v3,+30,66.600,-10.980,33.400,86.560,-7.164,13.440,23.83,299,0.875,bicubic
dla102,+16,66.550,-11.476,33.450,86.910,-7.040,13.090,33.73,224,0.875,bilinear
gluon_resnet50_v1c,+16,66.540,-11.470,33.460,86.160,-7.828,13.840,25.58,224,0.875,bicubic
tf_inception_v3,+21,66.420,-11.436,33.580,86.680,-6.964,13.320,23.83,299,0.875,bicubic
efficientnet_b0,+22,66.250,-11.442,33.750,85.950,-7.582,14.050,5.29,224,0.875,bicubic
seresnet50,+22,66.240,-11.396,33.760,86.330,-7.422,13.670,28.09,224,0.875,bilinear
selecsls60,+15,66.220,-11.762,33.780,86.330,-7.502,13.670,30.67,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,+16,66.210,-11.698,33.790,86.220,-7.436,13.780,24.01,224,0.875,bicubic
tv_resnext50_32x4d,+20,66.180,-11.438,33.820,86.040,-7.658,13.960,25.03,224,0.875,bilinear
res2net50_26w_4s,+13,66.170,-11.776,33.830,86.600,-7.252,13.400,25.70,224,0.875,bilinear
inception_v3,+25,66.120,-11.316,33.880,86.340,-7.136,13.660,23.83,299,0.875,bicubic
efficientnet_b1_pruned,=,66.080,-12.162,33.920,86.580,-7.252,13.420,6.33,240,0.882,bicubic
gluon_resnet50_v1b,+19,66.040,-11.538,33.960,86.270,-7.448,13.730,25.56,224,0.875,bicubic
res2net50_14w_8s,+2,66.020,-12.132,33.980,86.240,-7.602,13.760,25.06,224,0.875,bilinear
densenet161,+23,65.850,-11.498,34.150,86.460,-7.188,13.540,28.68,224,0.875,bicubic
res2next50,-3,65.850,-12.392,34.150,85.830,-8.062,14.170,24.67,224,0.875,bilinear
seresnext26tn_32x4d,+3,65.850,-12.140,34.150,85.680,-8.068,14.320,16.81,224,0.875,bicubic
skresnet34,+32,65.770,-11.140,34.230,85.960,-7.356,14.040,22.28,224,0.875,bicubic
resnet101,+18,65.680,-11.694,34.320,85.980,-7.566,14.020,44.55,224,0.875,bilinear
dpn68b,+13,65.600,-11.914,34.400,85.940,-7.882,14.060,12.61,224,0.875,bicubic
seresnext26t_32x4d,=,65.600,-12.388,34.400,86.090,-7.616,13.910,16.82,224,0.875,bicubic
selecsls42b,+22,65.590,-11.586,34.410,85.830,-7.562,14.170,32.46,224,0.875,bicubic
tf_efficientnet_b0_ap,+23,65.490,-11.594,34.510,85.550,-7.704,14.450,5.29,224,0.875,bicubic
seresnext26d_32x4d,+6,65.420,-12.184,34.580,85.970,-7.642,14.030,16.81,224,0.875,bicubic
tf_efficientnet_lite2,+10,65.390,-12.070,34.610,86.030,-7.716,13.970,6.09,260,0.890,bicubic
res2net50_48w_2s,+8,65.320,-12.194,34.680,85.960,-7.588,14.040,25.29,224,0.875,bilinear
densenetblur121d,+28,65.300,-11.276,34.700,85.710,-7.480,14.290,8.00,224,0.875,bicubic
densenet201,+13,65.280,-12.010,34.720,85.670,-7.808,14.330,20.01,224,0.875,bicubic
tf_efficientnet_es,+13,65.240,-12.024,34.760,85.540,-8.060,14.460,5.44,224,0.875,bicubic
dla60,+17,65.220,-11.804,34.780,85.750,-7.558,14.250,22.33,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,+8,65.130,-12.174,34.870,85.130,-8.202,14.870,13.31,224,0.875,bicubic
mobilenetv2_120d,+8,65.040,-12.254,34.960,85.990,-7.512,14.010,5.83,224,0.875,bicubic
seresnext26_32x4d,+12,65.040,-12.060,34.960,85.650,-7.660,14.350,16.79,224,0.875,bicubic
hrnet_w18,+18,64.910,-11.846,35.090,85.750,-7.692,14.250,21.30,224,0.875,bilinear
densenet169,+26,64.780,-11.132,35.220,85.250,-7.774,14.750,14.15,224,0.875,bicubic
mixnet_m,+7,64.690,-12.566,35.310,85.470,-7.948,14.530,5.01,224,0.875,bicubic
resnet26d,+16,64.630,-12.050,35.370,85.120,-8.046,14.880,16.01,224,0.875,bicubic
tf_efficientnet_lite1,+16,64.370,-12.268,35.630,85.490,-7.742,14.510,5.42,240,0.882,bicubic
tf_efficientnet_b0,+12,64.290,-12.550,35.710,85.250,-7.976,14.750,5.29,224,0.875,bicubic
tf_mixnet_m,+8,64.270,-12.680,35.730,85.090,-8.066,14.910,5.01,224,0.875,bicubic
dpn68,+17,64.220,-12.086,35.780,85.180,-7.790,14.820,12.61,224,0.875,bicubic
mobilenetv2_140,+14,64.050,-12.474,35.950,85.020,-7.970,14.980,6.11,224,0.875,bicubic
densenet121,+22,63.740,-11.834,36.260,84.630,-8.026,15.370,7.98,224,0.875,bicubic
resnest14d,+23,63.600,-11.904,36.400,84.220,-8.294,15.780,10.61,224,0.875,bilinear
tf_mixnet_s,+18,63.590,-12.058,36.410,84.270,-8.366,15.730,4.13,224,0.875,bicubic
resnet26,+23,63.450,-11.842,36.550,84.270,-8.300,15.730,16.00,224,0.875,bicubic
mixnet_s,+13,63.380,-12.608,36.620,84.710,-8.084,15.290,4.13,224,0.875,bicubic
mobilenetv3_large_100,+14,63.360,-12.408,36.640,84.080,-8.460,15.920,5.48,224,0.875,bicubic
tv_resnet50,+10,63.330,-12.800,36.670,84.650,-8.212,15.350,25.56,224,0.875,bilinear
mobilenetv3_rw,+14,63.230,-12.398,36.770,84.520,-8.190,15.480,5.48,224,0.875,bicubic
semnasnet_100,+17,63.120,-12.336,36.880,84.530,-8.062,15.470,3.89,224,0.875,bicubic
tv_densenet121,+26,62.940,-11.812,37.060,84.260,-7.892,15.740,7.98,224,0.875,bicubic
seresnet34,+24,62.890,-11.918,37.110,84.220,-7.906,15.780,21.96,224,0.875,bilinear
hrnet_w18_small_v2,+17,62.830,-12.296,37.170,83.970,-8.446,16.030,15.60,224,0.875,bilinear
mobilenetv2_110d,+19,62.820,-12.232,37.180,84.480,-7.700,15.520,4.52,224,0.875,bicubic
resnet34,+17,62.820,-12.292,37.180,84.120,-8.168,15.880,21.80,224,0.875,bilinear
swsl_resnet18,+30,62.730,-10.556,37.270,84.300,-7.432,15.700,11.69,224,0.875,bilinear
tf_efficientnet_lite0,+18,62.580,-12.262,37.420,84.250,-7.920,15.750,4.65,224,0.875,bicubic
gluon_resnet34_v1b,+22,62.560,-12.020,37.440,84.000,-7.988,16.000,21.80,224,0.875,bicubic
dla34,+20,62.510,-12.126,37.490,83.920,-8.144,16.080,15.78,224,0.875,bilinear
tf_mobilenetv3_large_100,+5,62.470,-13.046,37.530,83.960,-8.640,16.040,5.48,224,0.875,bilinear
fbnetc_100,+10,62.430,-12.690,37.570,83.390,-8.996,16.610,5.57,224,0.875,bilinear
mnasnet_100,+16,61.910,-12.746,38.090,83.710,-8.416,16.290,4.38,224,0.875,bicubic
ssl_resnet18,+26,61.490,-11.110,38.510,83.330,-8.086,16.670,11.69,224,0.875,bilinear
spnasnet_100,+17,61.210,-12.870,38.790,82.770,-9.062,17.230,4.42,224,0.875,bilinear
tv_resnet34,+20,61.200,-12.114,38.800,82.720,-8.700,17.280,21.80,224,0.875,bilinear
skresnet18,+21,60.850,-12.194,39.150,82.880,-8.298,17.120,11.96,224,0.875,bicubic
tf_mobilenetv3_large_075,+17,60.380,-13.062,39.620,81.960,-9.392,18.040,3.99,224,0.875,bilinear
mobilenetv2_100,+20,60.160,-12.818,39.840,82.240,-8.776,17.760,3.50,224,0.875,bicubic
seresnet18,+24,59.810,-11.948,40.190,81.680,-8.654,18.320,11.78,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,+22,59.070,-13.174,40.930,81.140,-9.496,18.860,3.92,224,0.875,bilinear
hrnet_w18_small,+20,58.970,-13.372,41.030,81.340,-9.332,18.660,13.19,224,0.875,bilinear
gluon_resnet18_v1b,+22,58.320,-12.510,41.680,80.960,-8.796,19.040,11.69,224,0.875,bicubic
resnet18,+23,57.180,-12.578,42.820,80.190,-8.888,19.810,11.69,224,0.875,bilinear
dla60x_c,+25,56.020,-11.888,43.980,78.960,-9.474,21.040,1.34,224,0.875,bilinear
tf_mobilenetv3_small_100,+23,54.510,-13.408,45.490,77.080,-10.582,22.920,2.54,224,0.875,bilinear
dla46x_c,+24,53.080,-12.900,46.920,76.840,-10.140,23.160,1.08,224,0.875,bilinear
dla46_c,+25,52.200,-12.678,47.800,75.680,-10.606,24.320,1.31,224,0.875,bilinear
tf_mobilenetv3_small_075,+23,52.150,-13.568,47.850,75.460,-10.676,24.540,2.04,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,+24,49.530,-13.368,50.470,73.050,-11.180,26.950,2.04,224,0.875,bilinear

1 model rank_diff top1 top1_diff top1_err top5 top5_diff top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns_475 +1 80.470 -7.764 19.530 95.730 -2.816 4.270 480.310 480.31 475 0.936 bicubic
3 tf_efficientnet_l2_ns -1 80.250 -8.102 19.750 95.850 -2.798 4.150 480.310 480.31 800 0.960 bicubic
4 tf_efficientnet_b7_ns = 78.520 -8.318 21.480 94.370 -3.724 5.630 66.350 66.35 600 0.949 bicubic
5 tf_efficientnet_b6_ns = 77.280 -9.182 22.720 93.890 -3.994 6.110 43.040 43.04 528 0.942 bicubic
6 ig_resnext101_32x48d +1 76.870 -8.572 23.130 93.320 -4.252 6.680 828.410 828.41 224 0.875 bilinear
7 ig_resnext101_32x32d +5 76.840 -8.252 23.160 93.190 -4.246 6.810 468.530 468.53 224 0.875 bilinear
8 tf_efficientnet_b5_ns -2 76.820 -9.260 23.180 93.580 -4.174 6.420 30.390 30.39 456 0.934 bicubic
9 tf_efficientnet_b7_ap +2 76.090 -9.028 23.910 92.970 -4.282 7.030 66.350 66.35 600 0.949 bicubic
10 tf_efficientnet_b8_ap -1 76.090 -9.278 23.910 92.730 -4.564 7.270 87.410 87.41 672 0.954 bicubic
11 ig_resnext101_32x16d +7 75.710 -8.466 24.290 92.900 -4.296 7.100 194.030 194.03 224 0.875 bilinear
12 tf_efficientnet_b4_ns -2 75.690 -9.468 24.310 93.040 -4.428 6.960 19.340 19.34 380 0.922 bicubic
13 swsl_resnext101_32x8d +2 75.450 -8.844 24.550 92.750 -4.424 7.250 88.790 88.79 224 0.875 bilinear
14 tf_efficientnet_b6_ap = 75.380 -9.406 24.620 92.440 -4.698 7.560 43.040 43.04 528 0.942 bicubic
15 tf_efficientnet_b8 -7 74.930 -10.440 25.070 92.320 -5.072 7.680 87.410 87.41 672 0.954 bicubic
16 tf_efficientnet_b7 -3 74.720 -10.212 25.280 92.220 -4.988 7.780 66.350 66.35 600 0.949 bicubic
17 tf_efficientnet_b5_ap -1 74.590 -9.664 25.410 91.990 -4.986 8.010 30.390 30.39 456 0.934 bicubic
18 swsl_resnext101_32x4d +7 74.150 -9.084 25.850 91.990 -4.766 8.010 44.180 44.18 224 0.875 bilinear
19 swsl_resnext101_32x16d +4 74.010 -9.328 25.990 92.170 -4.682 7.830 194.030 194.03 224 0.875 bilinear
20 resnest200e +1 73.930 -9.904 26.070 91.580 -5.258 8.420 70.200 70.20 320 0.875 bilinear
21 tf_efficientnet_b6 -2 73.900 -10.212 26.100 91.750 -5.134 8.250 43.040 43.04 528 0.942 bicubic
22 tf_efficientnet_b3_ns -2 73.870 -10.184 26.130 91.860 -5.052 8.140 12.230 12.23 300 0.904 bicubic
23 ig_resnext101_32x8d +7 73.660 -9.028 26.340 92.150 -4.482 7.850 88.790 88.79 224 0.875 bilinear
24 tf_efficientnet_b5 -2 73.540 -10.276 26.460 91.460 -5.290 8.540 30.390 30.39 456 0.934 bicubic
25 resnest269e -8 73.460 -10.726 26.540 91.680 -5.242 8.320 110.930 110.93 416 0.875 bilinear
26 tf_efficientnet_b4_ap -2 72.890 -10.358 27.110 90.980 -5.408 9.020 19.340 19.34 380 0.922 bicubic
27 swsl_resnext50_32x4d +7 72.580 -9.600 27.420 90.840 -5.388 9.160 25.030 25.03 224 0.875 bilinear
28 resnest101e = 72.550 -10.340 27.450 90.810 -5.514 9.190 48.280 48.28 256 0.875 bilinear
29 tresnet_xl_448 -3 72.550 -10.498 27.450 90.310 -5.864 9.690 78.440 78.44 448 0.875 bilinear
30 pnasnet5large -1 72.370 -10.370 27.630 90.260 -5.780 9.740 86.060 86.06 331 0.875 bicubic
31 nasnetalarge = 72.310 -10.248 27.690 90.510 -5.526 9.490 88.750 88.75 331 0.875 bicubic
32 tf_efficientnet_b4 -5 72.280 -10.736 27.720 90.600 -5.698 9.400 19.340 19.34 380 0.922 bicubic
33 tf_efficientnet_b2_ns -1 72.270 -10.110 27.730 91.090 -5.162 8.910 9.110 9.11 260 0.890 bicubic
34 swsl_resnet50 +15 71.690 -9.490 28.310 90.510 -5.476 9.490 25.560 25.56 224 0.875 bilinear
35 tresnet_xl +1 71.650 -10.420 28.350 89.630 -6.298 10.370 78.440 78.44 224 0.875 bilinear
36 tresnet_l_448 -3 71.600 -10.668 28.400 90.060 -5.918 9.940 55.990 55.99 448 0.875 bilinear
37 ecaresnet101d -2 71.500 -10.666 28.500 90.310 -5.742 9.690 44.570 44.57 224 0.875 bicubic
38 ssl_resnext101_32x8d +4 71.490 -10.136 28.510 90.470 -5.568 9.530 88.790 88.79 224 0.875 bilinear
39 ssl_resnext101_32x16d -1 71.400 -10.436 28.600 90.550 -5.544 9.450 194.030 194.03 224 0.875 bilinear
40 tresnet_m_448 = 71.000 -10.712 29.000 88.680 -6.890 11.320 31.390 31.39 448 0.875 bilinear
41 resnest50d_4s2x40d +9 70.940 -10.174 29.060 89.710 -5.858 10.290 30.420 30.42 224 0.875 bicubic
42 tf_efficientnet_b3_ap -3 70.920 -10.908 29.080 89.430 -6.194 10.570 12.230 12.23 300 0.904 bicubic
43 efficientnet_b3a -6 70.870 -11.004 29.130 89.720 -6.120 10.280 12.230 12.23 320 1.000 bicubic
44 tf_efficientnet_b1_ns +2 70.850 -10.536 29.150 90.110 -5.628 9.890 7.790 7.79 240 0.882 bicubic
45 tresnet_l = 70.830 -10.658 29.170 89.610 -6.018 10.390 55.990 55.99 224 0.875 bilinear
46 efficientnet_b3 -2 70.760 -10.738 29.240 89.840 -5.878 10.160 12.230 12.23 300 0.904 bicubic
47 tf_efficientnet_b3 -6 70.620 -11.020 29.380 89.440 -6.282 10.560 12.230 12.23 300 0.904 bicubic
48 gluon_senet154 = 70.600 -10.624 29.400 88.920 -6.436 11.080 115.090 115.09 224 0.875 bicubic
49 ssl_resnext101_32x4d +5 70.500 -10.428 29.500 89.760 -5.968 10.240 44.180 44.18 224 0.875 bilinear
50 senet154 -3 70.480 -10.824 29.520 88.990 -6.508 11.010 115.090 115.09 224 0.875 bilinear
51 gluon_seresnext101_64x4d +5 70.440 -10.450 29.560 89.350 -5.954 10.650 88.230 88.23 224 0.875 bicubic
52 resnest50d_1s4x24d = 70.430 -10.560 29.570 89.240 -6.082 10.760 25.680 25.68 224 0.875 bicubic
53 tf_efficientnet_lite4 -10 70.430 -11.098 29.570 89.120 -6.548 10.880 13.010 13.01 380 0.920 bilinear
54 resnest50d -1 70.420 -10.538 29.580 88.760 -6.622 11.240 27.480 27.48 224 0.875 bilinear
55 gluon_resnet152_v1s -4 70.320 -10.692 29.680 88.870 -6.546 11.130 60.320 60.32 224 0.875 bicubic
56 ecaresnet101d_pruned +3 70.120 -10.688 29.880 89.580 -6.048 10.420 24.880 24.88 224 0.875 bicubic
57 inception_resnet_v2 +9 70.120 -10.340 29.880 88.680 -6.630 11.320 55.840 55.84 299 0.897 bicubic
58 gluon_seresnext101_32x4d -3 70.010 -10.892 29.990 88.910 -6.384 11.090 48.960 48.96 224 0.875 bicubic
59 gluon_resnet152_v1d +6 69.950 -10.520 30.050 88.470 -6.736 11.530 60.210 60.21 224 0.875 bicubic
60 ecaresnet50d +2 69.830 -10.774 30.170 89.370 -5.952 10.630 25.580 25.58 224 0.875 bicubic
61 gluon_resnext101_64x4d +2 69.690 -10.912 30.310 88.260 -6.734 11.740 83.460 83.46 224 0.875 bicubic
62 ssl_resnext50_32x4d +11 69.690 -10.638 30.310 89.420 -5.984 10.580 25.030 25.03 224 0.875 bilinear
63 tresnet_m -3 69.650 -11.146 30.350 88.000 -6.856 12.000 31.390 31.39 224 0.875 bilinear
64 efficientnet_b3_pruned -7 69.580 -11.276 30.420 88.970 -6.270 11.030 9.860 9.86 300 0.904 bicubic
65 ens_adv_inception_resnet_v2 +19 69.520 -10.456 30.480 88.500 -6.446 11.500 55.840 55.84 299 0.897 bicubic
66 efficientnet_b2a -5 69.490 -11.118 30.510 88.680 -6.630 11.320 9.110 9.11 288 1.000 bicubic
67 inception_v4 +13 69.350 -10.806 30.650 88.780 -6.194 11.220 42.680 42.68 299 0.875 bicubic
68 seresnext101_32x4d +10 69.340 -10.896 30.660 88.050 -6.978 11.950 48.960 48.96 224 0.875 bilinear
69 ecaresnetlight -2 69.330 -11.124 30.670 89.220 -6.036 10.780 30.160 30.16 224 0.875 bicubic
70 gluon_resnet152_v1c +16 69.130 -10.786 30.870 87.890 -6.952 12.110 60.210 60.21 224 0.875 bicubic
71 mixnet_xl -7 69.080 -11.398 30.920 88.310 -6.622 11.690 11.900 11.90 224 0.875 bicubic
72 efficientnet_b2 -2 69.000 -11.402 31.000 88.620 -6.456 11.380 9.110 9.11 260 0.875 bicubic
73 gluon_resnet101_v1d -4 68.990 -11.434 31.010 88.080 -6.940 11.920 44.570 44.57 224 0.875 bicubic
74 gluon_xception65 +24 68.980 -10.624 31.020 88.320 -6.428 11.680 39.920 39.92 299 0.875 bicubic
75 gluon_resnext101_32x4d -3 68.960 -11.374 31.040 88.340 -6.586 11.660 44.180 44.18 224 0.875 bicubic
76 tf_efficientnet_b2_ap -2 68.930 -11.376 31.070 88.340 -6.688 11.660 9.110 9.11 260 0.890 bicubic
77 gluon_resnet152_v1b +18 68.810 -10.882 31.190 87.710 -7.028 12.290 60.190 60.19 224 0.875 bicubic
78 dpn131 +12 68.760 -11.068 31.240 87.480 -7.224 12.520 79.250 79.25 224 0.875 bicubic
79 resnext50d_32x4d +17 68.750 -10.924 31.250 88.310 -6.558 11.690 25.050 25.05 224 0.875 bicubic
80 tf_efficientnet_b2 +2 68.750 -11.340 31.250 87.950 -6.956 12.050 9.110 9.11 260 0.890 bicubic
81 gluon_resnet101_v1s -6 68.720 -11.580 31.280 87.900 -7.250 12.100 44.670 44.67 224 0.875 bicubic
82 dpn107 -3 68.710 -11.454 31.290 88.130 -6.782 11.870 86.920 86.92 224 0.875 bicubic
83 gluon_seresnext50_32x4d +4 68.670 -11.242 31.330 88.320 -6.498 11.680 27.560 27.56 224 0.875 bicubic
84 hrnet_w64 +17 68.630 -10.842 31.370 88.070 -6.580 11.930 128.060 128.06 224 0.875 bilinear
85 resnext50_32x4d +7 68.610 -11.152 31.390 87.570 -7.030 12.430 25.030 25.03 224 0.875 bicubic
86 dpn98 +11 68.580 -11.056 31.420 87.660 -6.934 12.340 61.570 61.57 224 0.875 bicubic
87 ssl_resnet50 +24 68.420 -10.808 31.580 88.580 -6.252 11.420 25.560 25.56 224 0.875 bilinear
88 ecaresnet50d_pruned +5 68.390 -11.328 31.610 88.370 -6.520 11.630 19.940 19.94 224 0.875 bicubic
89 skresnext50_32x4d -8 68.390 -11.760 31.610 87.590 -7.054 12.410 27.480 27.48 224 0.875 bicubic
90 dla102x2 +12 68.340 -11.112 31.660 87.870 -6.774 12.130 41.750 41.75 224 0.875 bilinear
91 efficientnet_b2_pruned -6 68.300 -11.618 31.700 88.100 -6.748 11.900 8.310 8.31 260 0.890 bicubic
92 gluon_resnext50_32x4d +11 68.280 -11.076 31.720 87.320 -7.104 12.680 25.030 25.03 224 0.875 bicubic
93 tf_efficientnet_lite3 -2 68.230 -11.582 31.770 87.720 -7.194 12.280 8.200 8.20 300 0.904 bilinear
94 ese_vovnet39b +10 68.190 -11.130 31.810 88.260 -6.450 11.740 24.570 24.57 224 0.875 bicubic
95 tf_efficientnet_el -27 68.180 -12.268 31.820 88.350 -6.810 11.650 10.590 10.59 300 0.904 bicubic
96 dpn92 -13 68.010 -12.006 31.990 87.590 -7.248 12.410 37.670 37.67 224 0.875 bicubic
97 gluon_resnet50_v1d +20 67.910 -11.164 32.090 87.120 -7.356 12.880 25.580 25.58 224 0.875 bicubic
98 seresnext50_32x4d +18 67.870 -11.206 32.130 87.620 -6.814 12.380 27.560 27.56 224 0.875 bilinear
99 resnext101_32x8d +6 67.850 -11.462 32.150 87.480 -7.046 12.520 88.790 88.79 224 0.875 bilinear
100 hrnet_w44 +23 67.770 -11.124 32.230 87.530 -6.840 12.470 67.060 67.06 224 0.875 bilinear
101 hrnet_w48 +5 67.770 -11.540 32.230 87.420 -7.098 12.580 77.470 77.47 224 0.875 bilinear
102 tf_efficientnet_b0_ns +32 67.720 -10.932 32.280 88.080 -6.288 11.920 5.290 5.29 224 0.875 bicubic
103 xception +16 67.670 -11.378 32.330 87.570 -6.822 12.430 22.860 22.86 299 0.897 bicubic
104 dla169 +26 67.610 -11.100 32.390 87.560 -6.778 12.440 53.990 53.99 224 0.875 bilinear
105 gluon_inception_v3 +22 67.590 -11.214 32.410 87.460 -6.920 12.540 23.830 23.83 299 0.875 bicubic
106 hrnet_w40 +16 67.590 -11.344 32.410 87.130 -7.336 12.870 57.560 57.56 224 0.875 bilinear
107 gluon_resnet101_v1c -7 67.560 -11.984 32.440 87.160 -7.426 12.840 44.570 44.57 224 0.875 bicubic
108 seresnet152 +25 67.550 -11.108 32.450 87.390 -6.984 12.610 66.820 66.82 224 0.875 bilinear
109 res2net50_26w_8s +4 67.530 -11.680 32.470 87.270 -7.092 12.730 48.400 48.40 224 0.875 bilinear
110 tf_efficientnet_b1_ap = 67.520 -11.758 32.480 87.770 -6.538 12.230 7.790 7.79 240 0.882 bicubic
111 tf_efficientnet_cc_b1_8e -3 67.480 -11.818 32.520 87.310 -7.054 12.690 39.720 39.72 240 0.882 bicubic
112 gluon_resnet101_v1b -5 67.450 -11.854 32.550 87.230 -7.294 12.770 44.550 44.55 224 0.875 bicubic
113 res2net101_26w_4s +2 67.450 -11.746 32.550 87.010 -7.430 12.990 45.210 45.21 224 0.875 bilinear
114 resnet50 +6 67.440 -11.592 32.560 87.420 -6.964 12.580 25.560 25.56 224 0.875 bicubic
115 resnetblur50 -6 67.440 -11.850 32.560 87.430 -7.202 12.570 25.560 25.56 224 0.875 bicubic
116 resnest26d +22 67.210 -11.272 32.790 87.180 -7.110 12.820 17.070 17.07 224 0.875 bilinear
117 efficientnet_b1 +14 67.160 -11.538 32.840 87.150 -7.002 12.850 7.790 7.79 240 0.875 bicubic
118 seresnet101 +26 67.150 -11.246 32.850 87.050 -7.208 12.950 49.330 49.33 224 0.875 bilinear
119 gluon_resnet50_v1s +10 67.100 -11.612 32.900 86.860 -7.382 13.140 25.680 25.68 224 0.875 bicubic
120 dla60x +26 67.080 -11.162 32.920 87.170 -6.852 12.830 17.650 17.65 224 0.875 bilinear
121 dla60_res2net +18 67.030 -11.442 32.970 87.140 -7.064 12.860 21.150 21.15 224 0.875 bilinear
122 resnet152 +23 67.020 -11.292 32.980 87.570 -6.476 12.430 60.190 60.19 224 0.875 bilinear
123 dla102x +13 67.000 -11.508 33.000 86.770 -7.464 13.230 26.770 26.77 224 0.875 bilinear
124 mixnet_l -3 66.970 -12.006 33.030 86.940 -7.244 13.060 7.330 7.33 224 0.875 bicubic
125 res2net50_26w_6s +10 66.910 -11.664 33.090 86.900 -7.226 13.100 37.050 37.05 224 0.875 bilinear
126 efficientnet_es +26 66.890 -11.164 33.110 86.730 -7.200 13.270 5.440 5.44 224 0.875 bicubic
127 tf_efficientnet_b1 -1 66.890 -11.942 33.110 87.040 -7.156 12.960 7.790 7.79 240 0.882 bicubic
128 tf_efficientnet_em +4 66.870 -11.828 33.130 86.980 -7.340 13.020 6.900 6.90 240 0.882 bicubic
129 hrnet_w32 +13 66.790 -11.658 33.210 87.290 -6.898 12.710 41.230 41.23 224 0.875 bilinear
130 tf_mixnet_l -2 66.780 -11.990 33.220 86.460 -7.544 13.540 7.330 7.33 224 0.875 bicubic
131 hrnet_w30 +18 66.760 -11.436 33.240 86.790 -7.430 13.210 37.710 37.71 224 0.875 bilinear
132 selecsls60b +11 66.720 -11.698 33.280 86.540 -7.626 13.460 32.770 32.77 224 0.875 bicubic
133 wide_resnet101_2 -8 66.680 -12.166 33.320 87.040 -7.244 12.960 126.890 126.89 224 0.875 bilinear
134 wide_resnet50_2 +6 66.650 -11.818 33.350 86.810 -7.276 13.190 68.880 68.88 224 0.875 bilinear
135 dla60_res2next +6 66.640 -11.808 33.360 87.020 -7.124 12.980 17.330 17.33 224 0.875 bilinear
136 adv_inception_v3 +30 66.600 -10.980 33.400 86.560 -7.164 13.440 23.830 23.83 299 0.875 bicubic
137 dla102 +16 66.550 -11.476 33.450 86.910 -7.040 13.090 33.730 33.73 224 0.875 bilinear
138 gluon_resnet50_v1c +16 66.540 -11.470 33.460 86.160 -7.828 13.840 25.580 25.58 224 0.875 bicubic
139 tf_inception_v3 +21 66.420 -11.436 33.580 86.680 -6.964 13.320 23.830 23.83 299 0.875 bicubic
140 efficientnet_b0 +22 66.250 -11.442 33.750 85.950 -7.582 14.050 5.290 5.29 224 0.875 bicubic
141 seresnet50 +22 66.240 -11.396 33.760 86.330 -7.422 13.670 28.090 28.09 224 0.875 bilinear
142 selecsls60 +15 66.220 -11.762 33.780 86.330 -7.502 13.670 30.670 30.67 224 0.875 bicubic
143 tf_efficientnet_cc_b0_8e +16 66.210 -11.698 33.790 86.220 -7.436 13.780 24.010 24.01 224 0.875 bicubic
144 tv_resnext50_32x4d +20 66.180 -11.438 33.820 86.040 -7.658 13.960 25.030 25.03 224 0.875 bilinear
145 res2net50_26w_4s +13 66.170 -11.776 33.830 86.600 -7.252 13.400 25.700 25.70 224 0.875 bilinear
146 inception_v3 +25 66.120 -11.316 33.880 86.340 -7.136 13.660 23.830 23.83 299 0.875 bicubic
147 efficientnet_b1_pruned = 66.080 -12.162 33.920 86.580 -7.252 13.420 6.330 6.33 240 0.882 bicubic
148 gluon_resnet50_v1b +19 66.040 -11.538 33.960 86.270 -7.448 13.730 25.560 25.56 224 0.875 bicubic
149 res2net50_14w_8s +2 66.020 -12.132 33.980 86.240 -7.602 13.760 25.060 25.06 224 0.875 bilinear
150 densenet161 +23 65.850 -11.498 34.150 86.460 -7.188 13.540 28.680 28.68 224 0.875 bicubic
151 res2next50 -3 65.850 -12.392 34.150 85.830 -8.062 14.170 24.670 24.67 224 0.875 bilinear
152 seresnext26tn_32x4d +3 65.850 -12.140 34.150 85.680 -8.068 14.320 16.810 16.81 224 0.875 bicubic
153 skresnet34 +32 65.770 -11.140 34.230 85.960 -7.356 14.040 22.280 22.28 224 0.875 bicubic
154 resnet101 +18 65.680 -11.694 34.320 85.980 -7.566 14.020 44.550 44.55 224 0.875 bilinear
155 dpn68b +13 65.600 -11.914 34.400 85.940 -7.882 14.060 12.610 12.61 224 0.875 bicubic
156 seresnext26t_32x4d = 65.600 -12.388 34.400 86.090 -7.616 13.910 16.820 16.82 224 0.875 bicubic
157 selecsls42b +22 65.590 -11.586 34.410 85.830 -7.562 14.170 32.460 32.46 224 0.875 bicubic
158 tf_efficientnet_b0_ap +23 65.490 -11.594 34.510 85.550 -7.704 14.450 5.290 5.29 224 0.875 bicubic
159 seresnext26d_32x4d +6 65.420 -12.184 34.580 85.970 -7.642 14.030 16.810 16.81 224 0.875 bicubic
160 tf_efficientnet_lite2 +10 65.390 -12.070 34.610 86.030 -7.716 13.970 6.090 6.09 260 0.890 bicubic
161 res2net50_48w_2s +8 65.320 -12.194 34.680 85.960 -7.588 14.040 25.290 25.29 224 0.875 bilinear
162 densenetblur121d +28 65.300 -11.276 34.700 85.710 -7.480 14.290 8.000 8.00 224 0.875 bicubic
163 densenet201 +13 65.280 -12.010 34.720 85.670 -7.808 14.330 20.010 20.01 224 0.875 bicubic
164 tf_efficientnet_es +13 65.240 -12.024 34.760 85.540 -8.060 14.460 5.440 5.44 224 0.875 bicubic
165 dla60 +17 65.220 -11.804 34.780 85.750 -7.558 14.250 22.330 22.33 224 0.875 bilinear
166 tf_efficientnet_cc_b0_4e +8 65.130 -12.174 34.870 85.130 -8.202 14.870 13.310 13.31 224 0.875 bicubic
167 mobilenetv2_120d +8 65.040 -12.254 34.960 85.990 -7.512 14.010 5.830 5.83 224 0.875 bicubic
168 seresnext26_32x4d +12 65.040 -12.060 34.960 85.650 -7.660 14.350 16.790 16.79 224 0.875 bicubic
169 hrnet_w18 +18 64.910 -11.846 35.090 85.750 -7.692 14.250 21.300 21.30 224 0.875 bilinear
170 densenet169 +26 64.780 -11.132 35.220 85.250 -7.774 14.750 14.150 14.15 224 0.875 bicubic
171 mixnet_m +7 64.690 -12.566 35.310 85.470 -7.948 14.530 5.010 5.01 224 0.875 bicubic
172 resnet26d +16 64.630 -12.050 35.370 85.120 -8.046 14.880 16.010 16.01 224 0.875 bicubic
173 tf_efficientnet_lite1 +16 64.370 -12.268 35.630 85.490 -7.742 14.510 5.420 5.42 240 0.882 bicubic
174 tf_efficientnet_b0 +12 64.290 -12.550 35.710 85.250 -7.976 14.750 5.290 5.29 224 0.875 bicubic
175 tf_mixnet_m +8 64.270 -12.680 35.730 85.090 -8.066 14.910 5.010 5.01 224 0.875 bicubic
176 dpn68 +17 64.220 -12.086 35.780 85.180 -7.790 14.820 12.610 12.61 224 0.875 bicubic
177 mobilenetv2_140 +14 64.050 -12.474 35.950 85.020 -7.970 14.980 6.110 6.11 224 0.875 bicubic
178 densenet121 +22 63.740 -11.834 36.260 84.630 -8.026 15.370 7.980 7.98 224 0.875 bicubic
179 resnest14d +23 63.600 -11.904 36.400 84.220 -8.294 15.780 10.610 10.61 224 0.875 bilinear
180 tf_mixnet_s +18 63.590 -12.058 36.410 84.270 -8.366 15.730 4.130 4.13 224 0.875 bicubic
181 resnet26 +23 63.450 -11.842 36.550 84.270 -8.300 15.730 16.000 16.00 224 0.875 bicubic
182 mixnet_s +13 63.380 -12.608 36.620 84.710 -8.084 15.290 4.130 4.13 224 0.875 bicubic
183 mobilenetv3_large_100 +14 63.360 -12.408 36.640 84.080 -8.460 15.920 5.480 5.48 224 0.875 bicubic
184 tv_resnet50 +10 63.330 -12.800 36.670 84.650 -8.212 15.350 25.560 25.56 224 0.875 bilinear
185 mobilenetv3_rw +14 63.230 -12.398 36.770 84.520 -8.190 15.480 5.480 5.48 224 0.875 bicubic
186 semnasnet_100 +17 63.120 -12.336 36.880 84.530 -8.062 15.470 3.890 3.89 224 0.875 bicubic
187 tv_densenet121 +26 62.940 -11.812 37.060 84.260 -7.892 15.740 7.980 7.98 224 0.875 bicubic
188 seresnet34 +24 62.890 -11.918 37.110 84.220 -7.906 15.780 21.960 21.96 224 0.875 bilinear
189 hrnet_w18_small_v2 +17 62.830 -12.296 37.170 83.970 -8.446 16.030 15.600 15.60 224 0.875 bilinear
190 mobilenetv2_110d +19 62.820 -12.232 37.180 84.480 -7.700 15.520 4.520 4.52 224 0.875 bicubic
191 resnet34 +17 62.820 -12.292 37.180 84.120 -8.168 15.880 21.800 21.80 224 0.875 bilinear
192 swsl_resnet18 +30 62.730 -10.556 37.270 84.300 -7.432 15.700 11.690 11.69 224 0.875 bilinear
193 tf_efficientnet_lite0 +18 62.580 -12.262 37.420 84.250 -7.920 15.750 4.650 4.65 224 0.875 bicubic
194 gluon_resnet34_v1b +22 62.560 -12.020 37.440 84.000 -7.988 16.000 21.800 21.80 224 0.875 bicubic
195 dla34 +20 62.510 -12.126 37.490 83.920 -8.144 16.080 15.780 15.78 224 0.875 bilinear
196 tf_mobilenetv3_large_100 +5 62.470 -13.046 37.530 83.960 -8.640 16.040 5.480 5.48 224 0.875 bilinear
197 fbnetc_100 +10 62.430 -12.690 37.570 83.390 -8.996 16.610 5.570 5.57 224 0.875 bilinear
198 mnasnet_100 +16 61.910 -12.746 38.090 83.710 -8.416 16.290 4.380 4.38 224 0.875 bicubic
199 ssl_resnet18 +26 61.490 -11.110 38.510 83.330 -8.086 16.670 11.690 11.69 224 0.875 bilinear
200 spnasnet_100 +17 61.210 -12.870 38.790 82.770 -9.062 17.230 4.420 4.42 224 0.875 bilinear
201 tv_resnet34 +20 61.200 -12.114 38.800 82.720 -8.700 17.280 21.800 21.80 224 0.875 bilinear
202 skresnet18 +21 60.850 -12.194 39.150 82.880 -8.298 17.120 11.960 11.96 224 0.875 bicubic
203 tf_mobilenetv3_large_075 +17 60.380 -13.062 39.620 81.960 -9.392 18.040 3.990 3.99 224 0.875 bilinear
204 mobilenetv2_100 +20 60.160 -12.818 39.840 82.240 -8.776 17.760 3.500 3.50 224 0.875 bicubic
205 seresnet18 +24 59.810 -11.948 40.190 81.680 -8.654 18.320 11.780 11.78 224 0.875 bicubic
206 tf_mobilenetv3_large_minimal_100 +22 59.070 -13.174 40.930 81.140 -9.496 18.860 3.920 3.92 224 0.875 bilinear
207 hrnet_w18_small +20 58.970 -13.372 41.030 81.340 -9.332 18.660 13.190 13.19 224 0.875 bilinear
208 gluon_resnet18_v1b +22 58.320 -12.510 41.680 80.960 -8.796 19.040 11.690 11.69 224 0.875 bicubic
209 resnet18 +23 57.180 -12.578 42.820 80.190 -8.888 19.810 11.690 11.69 224 0.875 bilinear
210 dla60x_c +25 56.020 -11.888 43.980 78.960 -9.474 21.040 1.340 1.34 224 0.875 bilinear
211 tf_mobilenetv3_small_100 +23 54.510 -13.408 45.490 77.080 -10.582 22.920 2.540 2.54 224 0.875 bilinear
212 dla46x_c +24 53.080 -12.900 46.920 76.840 -10.140 23.160 1.080 1.08 224 0.875 bilinear
213 dla46_c +25 52.200 -12.678 47.800 75.680 -10.606 24.320 1.310 1.31 224 0.875 bilinear
214 tf_mobilenetv3_small_075 +23 52.150 -13.568 47.850 75.460 -10.676 24.540 2.040 2.04 224 0.875 bilinear
215 tf_mobilenetv3_small_minimal_100 +24 49.530 -13.368 50.470 73.050 -11.180 26.950 2.040 2.04 224 0.875 bilinear

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model,rank_diff,top1,top1_diff,top1_err,top5,top5_diff,top5_err,param_count,img_size,cropt_pct,interpolation
ig_resnext101_32x48d,+5,58.814,-26.628,41.186,81.086,-16.486,18.914,828.410,224,0.875,bilinear
ig_resnext101_32x32d,+9,58.380,-26.712,41.620,80.379,-17.057,19.621,468.530,224,0.875,bilinear
ig_resnext101_32x16d,+14,57.700,-26.476,42.300,79.913,-17.283,20.087,194.030,224,0.875,bilinear
swsl_resnext101_32x16d,+18,57.466,-25.872,42.534,80.381,-16.471,19.619,194.030,224,0.875,bilinear
swsl_resnext101_32x8d,+9,56.435,-27.859,43.565,78.934,-18.239,21.066,88.790,224,0.875,bilinear
ig_resnext101_32x8d,+23,54.918,-27.770,45.082,77.545,-19.087,22.455,88.790,224,0.875,bilinear
swsl_resnext101_32x4d,+17,53.591,-29.643,46.409,76.339,-20.417,23.661,44.180,224,0.875,bilinear
tf_efficientnet_l2_ns_475,-6,51.487,-36.747,48.513,73.930,-24.617,26.070,480.310,475,0.936,bicubic
swsl_resnext50_32x4d,+24,50.449,-31.731,49.551,73.358,-22.870,26.642,25.030,224,0.875,bilinear
swsl_resnet50,+38,49.551,-31.629,50.449,72.332,-23.654,27.668,25.560,224,0.875,bilinear
tf_efficientnet_b7_ns,-8,47.800,-39.038,52.200,69.638,-28.456,30.362,66.350,600,0.949,bicubic
tf_efficientnet_b6_ns,-8,47.751,-38.711,52.249,69.962,-27.922,30.038,43.040,528,0.942,bicubic
tf_efficientnet_l2_ns,-12,47.570,-40.782,52.430,70.017,-28.631,29.983,480.310,800,0.960,bicubic
tf_efficientnet_b8_ap,-6,45.778,-39.590,54.222,67.905,-29.389,32.095,87.410,672,0.954,bicubic
tf_efficientnet_b5_ns,-10,45.607,-40.473,54.393,67.852,-29.902,32.148,30.390,456,0.934,bicubic
tf_efficientnet_b4_ns,-7,43.455,-41.703,56.545,65.513,-31.955,34.487,19.340,380,0.922,bicubic
tf_efficientnet_b8,-10,42.502,-42.868,57.498,64.874,-32.518,35.126,87.410,672,0.954,bicubic
tf_efficientnet_b7,-6,41.437,-43.495,58.563,63.027,-34.181,36.973,66.350,600,0.949,bicubic
tf_efficientnet_b7_ap,-9,41.433,-43.685,58.567,62.876,-34.376,37.124,66.350,600,0.949,bicubic
tf_efficientnet_b5_ap,-5,41.420,-42.834,58.580,62.082,-34.894,37.918,30.390,456,0.934,bicubic
tf_efficientnet_b6_ap,-8,41.091,-43.695,58.909,62.359,-34.779,37.641,43.040,528,0.942,bicubic
tf_efficientnet_b4_ap,+1,40.476,-42.772,59.524,61.713,-34.675,38.287,19.340,380,0.922,bicubic
tf_efficientnet_b3_ns,-4,39.582,-44.472,60.418,61.463,-35.449,38.537,12.230,300,0.904,bicubic
tf_efficientnet_b5,-3,38.328,-45.488,61.672,59.928,-36.822,40.072,30.390,456,0.934,bicubic
tf_efficientnet_b3_ap,+13,37.061,-44.767,62.939,57.236,-38.388,42.764,12.230,300,0.904,bicubic
resnest269e,-10,36.670,-47.516,63.330,56.810,-40.112,43.190,110.930,416,0.875,bilinear
tf_efficientnet_b2_ns,+4,36.177,-46.203,63.823,57.555,-38.697,42.445,9.110,260,0.890,bicubic
ecaresnet101d,+6,36.006,-46.160,63.994,56.154,-39.898,43.846,44.570,224,0.875,bicubic
swsl_resnet18,+192,35.860,-37.426,64.140,58.437,-33.295,41.563,11.690,224,0.875,bilinear
resnest200e,-10,35.847,-47.987,64.153,55.890,-40.948,44.110,70.200,320,0.875,bilinear
resnest101e,-4,35.365,-47.525,64.635,55.786,-40.538,44.214,48.280,256,0.875,bilinear
ssl_resnext101_32x16d,+5,34.609,-47.227,65.391,55.914,-40.180,44.086,194.030,224,0.875,bilinear
resnest50d_4s2x40d,+16,34.361,-46.753,65.639,54.711,-40.857,45.289,30.420,224,0.875,bicubic
tf_efficientnet_b1_ns,+11,34.153,-47.233,65.847,55.489,-40.249,44.511,7.790,240,0.882,bicubic
tf_efficientnet_b4,-9,34.062,-48.954,65.938,54.216,-42.082,45.784,19.340,380,0.922,bicubic
ssl_resnext101_32x8d,+5,34.021,-47.605,65.979,55.593,-40.444,44.407,88.790,224,0.875,bilinear
tf_efficientnet_b6,-19,34.005,-50.107,65.995,54.540,-42.344,45.460,43.040,528,0.942,bicubic
efficientnet_b3_pruned,+18,33.996,-46.860,66.004,54.110,-41.130,45.890,9.860,300,0.904,bicubic
tresnet_xl,-4,33.259,-48.811,66.741,52.296,-43.632,47.704,78.440,224,0.875,bilinear
resnest50d_1s4x24d,+11,33.139,-47.851,66.861,52.831,-42.491,47.169,25.680,224,0.875,bicubic
resnest50d,+11,32.968,-47.990,67.032,52.701,-42.681,47.299,27.480,224,0.875,bilinear
tf_efficientnet_b3,-2,32.864,-48.776,67.136,52.962,-42.760,47.038,12.230,300,0.904,bicubic
inception_resnet_v2,+22,32.736,-47.724,67.264,50.640,-44.670,49.360,55.840,299,0.897,bicubic
gluon_resnet152_v1d,+20,32.730,-47.740,67.270,51.084,-44.122,48.916,60.210,224,0.875,bicubic
tf_efficientnet_b2_ap,+28,32.679,-47.627,67.321,52.233,-42.795,47.767,9.110,260,0.890,bicubic
nasnetalarge,-16,32.583,-49.975,67.417,49.787,-46.249,50.213,88.750,331,0.875,bicubic
tresnet_l,-3,32.567,-48.921,67.433,51.141,-44.487,48.859,55.990,224,0.875,bilinear
pnasnet5large,-20,32.532,-50.208,67.468,50.188,-45.852,49.812,86.060,331,0.875,bicubic
ens_adv_inception_resnet_v2,+34,32.370,-47.605,67.629,50.427,-44.519,49.573,55.840,299,0.897,bicubic
gluon_resnet152_v1s,=,32.331,-48.681,67.669,50.539,-44.877,49.461,60.320,224,0.875,bicubic
gluon_seresnext101_64x4d,+4,32.194,-48.696,67.806,50.327,-44.977,49.673,88.230,224,0.875,bicubic
gluon_seresnext101_32x4d,+2,32.115,-48.787,67.885,51.241,-44.053,48.759,48.960,224,0.875,bicubic
efficientnet_b3a,-17,31.728,-50.146,68.272,51.322,-44.519,48.678,12.230,320,1.000,bicubic
efficientnet_b3,-11,31.565,-49.933,68.435,51.272,-44.446,48.728,12.230,300,0.904,bicubic
resnet50,+64,31.545,-47.487,68.455,50.172,-44.212,49.828,25.560,224,0.875,bicubic
ssl_resnext101_32x4d,-3,31.433,-49.495,68.567,52.115,-43.613,47.885,44.180,224,0.875,bilinear
inception_v4,+22,31.382,-48.774,68.618,49.237,-45.737,50.763,42.680,299,0.875,bicubic
ecaresnetlight,+8,31.133,-49.321,68.868,50.252,-45.004,49.748,30.160,224,0.875,bicubic
gluon_resnet101_v1s,+15,31.113,-49.187,68.887,49.791,-45.359,50.209,44.670,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,+98,31.081,-46.827,68.919,50.773,-42.883,49.227,24.010,224,0.875,bicubic
ecaresnet50d,=,31.064,-49.540,68.936,50.846,-44.476,49.154,25.580,224,0.875,bicubic
gluon_resnet152_v1c,+23,31.007,-48.909,68.993,48.936,-45.906,51.064,60.210,224,0.875,bicubic
tresnet_m,-4,30.993,-49.803,69.007,48.690,-46.166,51.310,31.390,224,0.875,bilinear
gluon_resnext101_64x4d,-2,30.981,-49.621,69.019,48.553,-46.441,51.447,83.460,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,+42,30.901,-48.397,69.099,50.074,-44.290,49.926,39.720,240,0.882,bicubic
ecaresnet101d_pruned,-8,30.895,-49.913,69.105,50.001,-45.627,49.999,24.880,224,0.875,bicubic
gluon_resnext101_32x4d,+4,30.881,-49.453,69.119,48.537,-46.389,51.463,44.180,224,0.875,bicubic
tf_efficientnet_lite4,-26,30.840,-50.688,69.160,50.398,-45.270,49.602,13.010,380,0.920,bilinear
dpn107,+9,30.680,-49.484,69.320,48.806,-46.106,51.194,86.920,224,0.875,bicubic
ese_vovnet39b,+33,30.677,-48.643,69.323,49.893,-44.817,50.107,24.570,224,0.875,bicubic
tresnet_xl_448,-46,30.620,-52.428,69.380,49.072,-47.102,50.928,78.440,448,0.875,bilinear
gluon_resnet152_v1b,+22,30.618,-49.074,69.382,48.529,-46.209,51.471,60.190,224,0.875,bicubic
ssl_resnext50_32x4d,-1,30.594,-49.734,69.406,50.653,-44.751,49.347,25.030,224,0.875,bilinear
gluon_resnet101_v1d,-6,30.509,-49.914,69.490,47.975,-47.045,52.025,44.570,224,0.875,bicubic
resnest26d,+62,30.500,-47.982,69.500,50.677,-43.613,49.323,17.070,224,0.875,bilinear
efficientnet_b2a,-16,30.423,-50.185,69.577,49.675,-45.635,50.325,9.110,288,1.000,bicubic
tf_efficientnet_b1_ap,+32,30.419,-48.859,69.581,49.553,-44.755,50.447,7.790,240,0.882,bicubic
dpn98,+18,30.058,-49.578,69.942,48.240,-46.354,51.760,61.570,224,0.875,bicubic
tf_efficientnet_b2,+2,30.020,-50.070,69.980,49.590,-45.316,50.410,9.110,260,0.890,bicubic
dpn131,+9,30.014,-49.814,69.986,48.144,-46.560,51.856,79.250,224,0.875,bicubic
senet154,-35,30.001,-51.303,69.999,48.032,-47.466,51.968,115.090,224,0.875,bilinear
dpn92,=,29.969,-50.047,70.031,49.160,-45.678,50.840,37.670,224,0.875,bicubic
gluon_senet154,-36,29.887,-51.337,70.113,47.873,-47.483,52.127,115.090,224,0.875,bicubic
xception,+34,29.849,-49.199,70.151,48.690,-45.702,51.310,22.860,299,0.897,bicubic
adv_inception_v3,+80,29.824,-47.756,70.176,47.867,-45.857,52.133,23.830,299,0.875,bicubic
resnetblur50,+22,29.623,-49.667,70.377,48.250,-46.382,51.750,25.560,224,0.875,bicubic
efficientnet_b2,-18,29.617,-50.785,70.383,48.773,-46.303,51.227,9.110,260,0.875,bicubic
gluon_xception65,+9,29.555,-50.049,70.445,47.523,-47.225,52.477,39.920,299,0.875,bicubic
resnext101_32x8d,+15,29.435,-49.877,70.565,48.482,-46.044,51.518,88.790,224,0.875,bilinear
ssl_resnet50,+20,29.423,-49.805,70.577,49.773,-45.059,50.227,25.560,224,0.875,bilinear
resnext50_32x4d,=,29.328,-50.434,70.671,47.395,-47.205,52.605,25.030,224,0.875,bicubic
ecaresnet50d_pruned,=,29.216,-50.502,70.784,48.458,-46.432,51.542,19.940,224,0.875,bicubic
tresnet_l_448,-61,29.167,-53.101,70.833,47.234,-48.744,52.766,55.990,448,0.875,bilinear
gluon_inception_v3,+32,29.114,-49.690,70.886,46.943,-47.437,53.057,23.830,299,0.875,bicubic
hrnet_w64,+5,28.987,-50.485,71.013,47.140,-47.510,52.860,128.060,224,0.875,bilinear
tf_efficientnet_b0_ns,+37,28.914,-49.738,71.086,49.011,-45.357,50.989,5.290,224,0.875,bicubic
tf_efficientnet_b1,+28,28.892,-49.940,71.108,47.511,-46.685,52.489,7.790,240,0.882,bicubic
gluon_resnet101_v1b,+8,28.857,-50.447,71.143,46.371,-48.153,53.629,44.550,224,0.875,bicubic
skresnext50_32x4d,-19,28.818,-51.332,71.182,46.503,-48.141,53.497,27.480,224,0.875,bicubic
tf_efficientnet_lite3,-10,28.654,-51.157,71.346,47.358,-47.556,52.642,8.200,300,0.904,bilinear
hrnet_w40,+20,28.645,-50.289,71.355,47.443,-47.024,52.557,57.560,224,0.875,bilinear
gluon_seresnext50_32x4d,-16,28.641,-51.271,71.359,46.450,-48.368,53.550,27.560,224,0.875,bicubic
skresnet34,+81,28.629,-48.281,71.371,47.957,-45.359,52.043,22.280,224,0.875,bicubic
resnet152,+40,28.535,-49.777,71.465,47.114,-46.932,52.886,60.190,224,0.875,bilinear
hrnet_w48,=,28.407,-50.903,71.593,47.574,-46.944,52.426,77.470,224,0.875,bilinear
gluon_resnext50_32x4d,-4,28.383,-50.973,71.617,45.326,-49.098,54.674,25.030,224,0.875,bicubic
efficientnet_b2_pruned,-23,28.366,-51.552,71.634,47.059,-47.789,52.941,8.310,260,0.890,bicubic
tf_efficientnet_b0_ap,+72,28.350,-48.734,71.650,47.531,-45.723,52.469,5.290,224,0.875,bicubic
dla102x2,-8,28.319,-51.133,71.681,46.757,-47.887,53.243,41.750,224,0.875,bilinear
dla169,+19,28.311,-50.399,71.689,47.399,-46.939,52.601,53.990,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,+62,28.311,-48.993,71.689,47.364,-45.968,52.636,13.310,224,0.875,bicubic
mixnet_xl,-49,28.293,-52.185,71.707,46.717,-48.215,53.283,11.900,224,0.875,bicubic
gluon_resnet50_v1d,+3,28.236,-50.838,71.764,45.876,-48.600,54.124,25.580,224,0.875,bicubic
wide_resnet101_2,+10,28.106,-50.740,71.894,46.425,-47.859,53.575,126.890,224,0.875,bilinear
gluon_resnet101_v1c,-16,28.102,-51.442,71.898,45.953,-48.633,54.047,44.570,224,0.875,bicubic
densenet161,+56,28.100,-49.248,71.900,46.651,-46.997,53.349,28.680,224,0.875,bicubic
regnetx_320,-41,28.079,-52.167,71.921,45.120,-49.902,54.880,107.810,224,0.875,bicubic
regnety_320,-61,28.071,-52.743,71.929,45.460,-49.780,54.540,145.050,224,0.875,bicubic
dpn68b,+48,27.884,-49.630,72.116,47.460,-46.362,52.540,12.610,224,0.875,bicubic
regnetx_160,-32,27.825,-52.041,72.175,45.631,-49.197,54.369,54.280,224,0.875,bicubic
tf_inception_v3,+38,27.786,-50.070,72.214,45.711,-47.933,54.289,23.830,299,0.875,bicubic
res2net101_26w_4s,-8,27.774,-51.422,72.226,45.171,-49.269,54.829,45.210,224,0.875,bilinear
regnety_160,-48,27.639,-52.661,72.361,45.534,-49.428,54.466,83.590,224,0.875,bicubic
hrnet_w44,-2,27.625,-51.269,72.375,45.831,-48.539,54.169,67.060,224,0.875,bilinear
inception_v3,+45,27.570,-49.866,72.430,45.261,-48.215,54.739,23.830,299,0.875,bicubic
regnetx_080,-13,27.411,-51.787,72.589,45.022,-49.536,54.978,39.570,224,0.875,bicubic
hrnet_w30,+21,27.385,-50.811,72.615,46.542,-47.678,53.458,37.710,224,0.875,bilinear
hrnet_w32,+13,27.377,-51.071,72.623,45.990,-48.198,54.010,41.230,224,0.875,bilinear
gluon_resnet50_v1s,-1,27.326,-51.386,72.674,45.214,-49.028,54.786,25.680,224,0.875,bicubic
densenet201,+45,27.261,-50.029,72.739,46.224,-47.254,53.776,20.010,224,0.875,bicubic
regnety_064,-38,27.228,-52.484,72.772,44.851,-49.923,55.149,30.580,224,0.875,bicubic
densenetblur121d,+57,27.224,-49.352,72.776,46.307,-46.883,53.693,8.000,224,0.875,bicubic
efficientnet_b1_pruned,+13,27.195,-51.047,72.805,45.872,-47.960,54.128,6.330,240,0.882,bicubic
res2net50_26w_8s,-22,27.073,-52.137,72.927,44.432,-49.930,55.568,48.400,224,0.875,bilinear
dla102x,=,27.023,-51.484,72.977,45.495,-48.739,54.505,26.770,224,0.875,bilinear
resnet101,+35,26.968,-50.405,73.031,45.236,-48.310,54.764,44.550,224,0.875,bilinear
resnext50d_32x4d,-42,26.874,-52.800,73.126,44.430,-50.438,55.570,25.050,224,0.875,bicubic
regnetx_120,-40,26.864,-52.726,73.136,44.682,-50.058,55.318,46.110,224,0.875,bicubic
seresnext101_32x4d,-62,26.819,-53.417,73.181,43.508,-51.520,56.492,48.960,224,0.875,bilinear
densenet169,+55,26.811,-49.101,73.189,45.375,-47.649,54.625,14.150,224,0.875,bicubic
regnetx_064,-24,26.802,-52.264,73.198,44.904,-49.552,55.096,26.210,224,0.875,bicubic
regnety_120,-72,26.782,-53.600,73.218,44.440,-50.688,55.560,51.820,224,0.875,bicubic
regnetx_032,+6,26.707,-51.459,73.293,45.226,-48.854,54.774,15.300,224,0.875,bicubic
densenet121,+55,26.676,-48.898,73.324,45.900,-46.756,54.100,7.980,224,0.875,bicubic
seresnet152,-13,26.672,-51.986,73.328,43.945,-50.429,56.055,66.820,224,0.875,bilinear
tf_efficientnet_el,-79,26.623,-53.825,73.377,44.636,-50.524,55.364,10.590,300,0.904,bicubic
efficientnet_es,+4,26.617,-51.437,73.383,45.106,-48.824,54.894,5.440,224,0.875,bicubic
res2net50_26w_6s,-14,26.587,-51.987,73.413,43.978,-50.148,56.022,37.050,224,0.875,bilinear
dla60x,-4,26.564,-51.678,73.436,45.039,-48.983,54.961,17.650,224,0.875,bilinear
regnety_080,-63,26.515,-53.353,73.485,44.355,-50.477,55.645,39.180,224,0.875,bicubic
tf_efficientnet_b0,+34,26.491,-50.349,73.509,45.656,-47.570,54.344,5.290,224,0.875,bicubic
res2net50_14w_8s,-2,26.471,-51.681,73.529,44.369,-49.473,55.631,25.060,224,0.875,bilinear
gluon_resnet50_v1b,+13,26.432,-51.146,73.568,44.033,-49.685,55.967,25.560,224,0.875,bicubic
regnetx_040,-18,26.239,-52.247,73.760,44.424,-49.818,55.576,22.120,224,0.875,bicubic
dpn68,+37,26.122,-50.184,73.878,44.233,-48.736,55.767,12.610,224,0.875,bicubic
hrnet_w18,+30,25.976,-50.780,74.024,44.809,-48.633,55.191,21.300,224,0.875,bilinear
regnety_040,-46,25.913,-53.309,74.087,43.854,-50.802,56.146,20.650,224,0.875,bicubic
resnet34,+49,25.884,-49.228,74.116,43.990,-48.298,56.010,21.800,224,0.875,bilinear
res2net50_26w_4s,-2,25.870,-52.076,74.130,43.161,-50.691,56.839,25.700,224,0.875,bilinear
tresnet_m_448,-121,25.850,-55.862,74.150,42.868,-52.702,57.132,31.390,448,0.875,bilinear
gluon_resnet50_v1c,-8,25.795,-52.215,74.205,43.017,-50.971,56.983,25.580,224,0.875,bicubic
selecsls60,-6,25.729,-52.254,74.272,44.069,-49.764,55.931,30.670,224,0.875,bicubic
dla60_res2net,-25,25.642,-52.830,74.358,43.589,-50.615,56.411,21.150,224,0.875,bilinear
dla60_res2next,-24,25.638,-52.810,74.362,43.670,-50.474,56.330,17.330,224,0.875,bilinear
tf_efficientnet_lite1,+23,25.506,-51.132,74.493,43.583,-49.649,56.417,5.420,240,0.882,bicubic
mixnet_l,-46,25.499,-53.477,74.501,43.463,-50.721,56.537,7.330,224,0.875,bicubic
efficientnet_b1,-37,25.483,-53.215,74.517,43.286,-50.866,56.714,7.790,240,0.875,bicubic
tv_resnext50_32x4d,-5,25.469,-52.149,74.531,42.791,-50.907,57.209,25.030,224,0.875,bilinear
tf_mixnet_l,-42,25.420,-53.350,74.580,42.544,-51.460,57.456,7.330,224,0.875,bicubic
res2next50,-23,25.395,-52.848,74.606,42.492,-51.400,57.508,24.670,224,0.875,bilinear
selecsls60b,-29,25.328,-53.090,74.672,43.554,-50.612,56.446,32.770,224,0.875,bicubic
seresnet101,-29,25.328,-53.068,74.672,42.828,-51.429,57.172,49.330,224,0.875,bilinear
regnety_032,-50,25.324,-53.546,74.676,42.907,-51.495,57.093,19.440,224,0.875,bicubic
dla102,-22,25.314,-52.712,74.686,43.837,-50.113,56.163,33.730,224,0.875,bilinear
wide_resnet50_2,-36,25.310,-53.158,74.690,42.178,-51.908,57.822,68.880,224,0.875,bilinear
resnest14d,+25,25.282,-50.221,74.718,44.121,-48.392,55.879,10.610,224,0.875,bilinear
seresnext50_32x4d,-62,25.218,-53.858,74.782,41.938,-52.496,58.062,27.560,224,0.875,bilinear
res2net50_48w_2s,-10,25.023,-52.491,74.977,42.202,-51.346,57.798,25.290,224,0.875,bilinear
efficientnet_b0,-18,25.015,-52.677,74.985,42.785,-50.747,57.215,5.290,224,0.875,bicubic
gluon_resnet34_v1b,+35,24.948,-49.632,75.052,42.237,-49.751,57.763,21.800,224,0.875,bicubic
mobilenetv2_120d,-7,24.933,-52.361,75.067,43.064,-50.438,56.936,5.830,224,0.875,bicubic
dla60,-1,24.927,-52.097,75.073,43.302,-50.006,56.698,22.330,224,0.875,bilinear
regnety_016,-23,24.819,-53.033,75.181,42.626,-51.090,57.374,11.200,224,0.875,bicubic
tf_efficientnet_em,-53,24.534,-54.164,75.466,42.410,-51.910,57.590,6.900,240,0.882,bicubic
tf_efficientnet_lite2,-16,24.530,-52.930,75.470,42.292,-51.454,57.708,6.090,260,0.890,bicubic
skresnet18,+36,24.494,-48.549,75.505,42.538,-48.640,57.462,11.960,224,0.875,bicubic
regnetx_016,-4,24.477,-52.453,75.523,42.502,-50.916,57.498,9.190,224,0.875,bicubic
tf_efficientnet_lite0,+22,24.371,-50.471,75.629,42.510,-49.660,57.490,4.650,224,0.875,bicubic
tv_resnet50,+4,24.092,-52.038,75.908,41.309,-51.553,58.691,25.560,224,0.875,bilinear
seresnet34,+21,24.037,-50.771,75.963,41.895,-50.231,58.105,21.960,224,0.875,bilinear
tv_densenet121,+21,23.846,-50.906,76.154,41.921,-50.231,58.079,7.980,224,0.875,bicubic
tf_efficientnet_es,-16,23.824,-53.440,76.176,41.319,-52.281,58.681,5.440,224,0.875,bicubic
mobilenetv2_140,-3,23.710,-52.814,76.290,41.469,-51.521,58.531,6.110,224,0.875,bicubic
mixnet_m,-17,23.709,-53.547,76.291,41.139,-52.279,58.861,5.010,224,0.875,bicubic
dla34,+19,23.677,-50.959,76.323,41.543,-50.521,58.457,15.780,224,0.875,bilinear
seresnet50,-34,23.644,-53.992,76.356,40.081,-53.671,59.919,28.090,224,0.875,bilinear
tf_mixnet_m,-15,23.479,-53.471,76.521,41.005,-52.151,58.995,5.010,224,0.875,bicubic
tv_resnet34,+22,23.473,-49.841,76.527,41.367,-50.053,58.633,21.800,224,0.875,bilinear
selecsls42b,-21,23.366,-53.809,76.633,40.677,-52.715,59.323,32.460,224,0.875,bicubic
mobilenetv2_110d,+8,23.070,-51.982,76.930,40.744,-51.436,59.256,4.520,224,0.875,bicubic
mobilenetv3_large_100,-5,22.665,-53.103,77.335,40.785,-51.755,59.215,5.480,224,0.875,bicubic
mobilenetv3_rw,-4,22.626,-53.002,77.374,40.370,-52.340,59.630,5.480,224,0.875,bicubic
tf_mobilenetv3_large_100,-3,22.571,-52.945,77.429,39.759,-52.841,60.241,5.480,224,0.875,bilinear
hrnet_w18_small_v2,+1,22.341,-52.785,77.659,39.847,-52.569,60.153,15.600,224,0.875,bilinear
regnety_008,-14,22.113,-54.201,77.887,38.896,-54.166,61.104,6.260,224,0.875,bicubic
seresnext26tn_32x4d,-52,22.003,-55.987,77.997,38.492,-55.256,61.508,16.810,224,0.875,bicubic
seresnext26t_32x4d,-52,21.987,-56.001,78.013,38.566,-55.140,61.434,16.820,224,0.875,bicubic
regnety_006,-4,21.973,-53.287,78.027,38.953,-53.575,61.047,6.060,224,0.875,bicubic
regnetx_008,=,21.952,-53.070,78.048,38.930,-53.414,61.070,7.260,224,0.875,bicubic
resnet26d,-23,21.914,-54.766,78.086,38.617,-54.549,61.383,16.010,224,0.875,bicubic
semnasnet_100,-9,21.897,-53.559,78.103,38.604,-53.988,61.396,3.890,224,0.875,bicubic
regnetx_006,+6,21.743,-52.119,78.257,38.904,-52.776,61.096,6.200,224,0.875,bicubic
gluon_resnet18_v1b,+16,21.545,-49.285,78.455,38.873,-50.883,61.127,11.690,224,0.875,bicubic
fbnetc_100,-8,21.492,-53.628,78.508,38.165,-54.221,61.835,5.570,224,0.875,bilinear
mnasnet_100,-2,21.350,-53.306,78.650,37.715,-54.411,62.285,4.380,224,0.875,bicubic
resnet26,-13,21.295,-53.997,78.705,38.016,-54.554,61.984,16.000,224,0.875,bicubic
ssl_resnet18,+7,21.278,-51.322,78.722,39.114,-52.301,60.886,11.690,224,0.875,bilinear
mixnet_s,-24,21.258,-54.730,78.742,38.193,-54.601,61.807,4.130,224,0.875,bicubic
seresnext26d_32x4d,-55,21.254,-56.350,78.746,37.285,-56.327,62.715,16.810,224,0.875,bicubic
seresnext26_32x4d,-41,21.093,-56.007,78.907,37.639,-55.671,62.361,16.790,224,0.875,bicubic
regnetx_004,+4,20.887,-51.519,79.113,37.548,-53.282,62.452,5.160,224,0.875,bicubic
spnasnet_100,-6,20.867,-53.213,79.133,37.892,-53.940,62.108,4.420,224,0.875,bilinear
seresnet18,+5,20.840,-50.918,79.160,37.645,-52.689,62.355,11.780,224,0.875,bicubic
mobilenetv2_100,-1,20.761,-52.217,79.239,37.751,-53.265,62.249,3.500,224,0.875,bicubic
tf_mixnet_s,-28,20.478,-55.170,79.522,36.627,-56.009,63.373,4.130,224,0.875,bicubic
regnety_004,-9,20.417,-53.609,79.583,37.030,-54.718,62.970,4.340,224,0.875,bicubic
tf_mobilenetv3_large_075,-8,20.372,-53.070,79.628,36.770,-54.582,63.230,3.990,224,0.875,bilinear
hrnet_w18_small,-2,20.366,-51.976,79.634,37.094,-53.578,62.906,13.190,224,0.875,bilinear
resnet18,+2,20.228,-49.530,79.772,37.260,-51.818,62.740,11.690,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,-3,20.116,-52.128,79.884,36.904,-53.732,63.096,3.920,224,0.875,bilinear
regnety_002,-1,17.460,-52.822,82.540,32.443,-57.097,67.557,3.160,224,0.875,bicubic
regnetx_002,=,16.951,-51.803,83.049,32.235,-56.313,67.765,2.680,224,0.875,bicubic
dla60x_c,+1,16.326,-51.582,83.674,31.775,-56.659,68.225,1.340,224,0.875,bilinear
tf_mobilenetv3_small_100,-1,16.233,-51.685,83.767,31.223,-56.439,68.777,2.540,224,0.875,bilinear
tf_mobilenetv3_small_075,+1,14.940,-50.778,85.060,29.572,-56.564,70.428,2.040,224,0.875,bilinear
dla46_c,+1,14.661,-50.217,85.339,29.374,-56.912,70.626,1.310,224,0.875,bilinear
dla46x_c,-2,14.380,-51.600,85.620,29.177,-57.803,70.823,1.080,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,=,13.968,-48.930,86.032,27.980,-56.250,72.019,2.040,224,0.875,bilinear
ig_resnext101_32x48d,+5,58.814,-26.628,41.186,81.086,-16.486,18.914,828.41,224,0.875,bilinear
ig_resnext101_32x32d,+9,58.380,-26.712,41.620,80.379,-17.057,19.621,468.53,224,0.875,bilinear
ig_resnext101_32x16d,+14,57.700,-26.476,42.300,79.913,-17.283,20.087,194.03,224,0.875,bilinear
swsl_resnext101_32x16d,+18,57.466,-25.872,42.534,80.381,-16.471,19.619,194.03,224,0.875,bilinear
swsl_resnext101_32x8d,+9,56.435,-27.859,43.565,78.934,-18.240,21.066,88.79,224,0.875,bilinear
ig_resnext101_32x8d,+23,54.918,-27.770,45.082,77.545,-19.087,22.455,88.79,224,0.875,bilinear
swsl_resnext101_32x4d,+17,53.591,-29.643,46.409,76.339,-20.417,23.661,44.18,224,0.875,bilinear
tf_efficientnet_l2_ns_475,-6,51.487,-36.747,48.513,73.930,-24.616,26.070,480.31,475,0.936,bicubic
swsl_resnext50_32x4d,+24,50.449,-31.731,49.551,73.358,-22.870,26.642,25.03,224,0.875,bilinear
swsl_resnet50,+38,49.551,-31.629,50.449,72.332,-23.654,27.668,25.56,224,0.875,bilinear
tf_efficientnet_b7_ns,-8,47.800,-39.038,52.200,69.638,-28.456,30.362,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,-8,47.751,-38.711,52.249,69.962,-27.922,30.038,43.04,528,0.942,bicubic
tf_efficientnet_l2_ns,-12,47.570,-40.782,52.430,70.017,-28.631,29.983,480.31,800,0.960,bicubic
tf_efficientnet_b8_ap,-6,45.778,-39.590,54.222,67.905,-29.389,32.095,87.41,672,0.954,bicubic
tf_efficientnet_b5_ns,-10,45.607,-40.473,54.393,67.852,-29.902,32.148,30.39,456,0.934,bicubic
tf_efficientnet_b4_ns,-7,43.455,-41.703,56.545,65.513,-31.955,34.487,19.34,380,0.922,bicubic
tf_efficientnet_b8,-10,42.502,-42.868,57.498,64.874,-32.518,35.126,87.41,672,0.954,bicubic
tf_efficientnet_b7,-6,41.437,-43.495,58.563,63.027,-34.181,36.973,66.35,600,0.949,bicubic
tf_efficientnet_b7_ap,-9,41.433,-43.685,58.567,62.876,-34.376,37.124,66.35,600,0.949,bicubic
tf_efficientnet_b5_ap,-5,41.420,-42.834,58.580,62.082,-34.894,37.918,30.39,456,0.934,bicubic
tf_efficientnet_b6_ap,-8,41.091,-43.695,58.909,62.359,-34.779,37.641,43.04,528,0.942,bicubic
tf_efficientnet_b4_ap,+1,40.476,-42.772,59.524,61.713,-34.675,38.287,19.34,380,0.922,bicubic
tf_efficientnet_b3_ns,-4,39.582,-44.472,60.418,61.463,-35.449,38.537,12.23,300,0.904,bicubic
tf_efficientnet_b5,-3,38.328,-45.488,61.672,59.928,-36.822,40.072,30.39,456,0.934,bicubic
tf_efficientnet_b3_ap,+13,37.061,-44.767,62.939,57.236,-38.388,42.764,12.23,300,0.904,bicubic
resnest269e,-10,36.670,-47.516,63.330,56.810,-40.112,43.190,110.93,416,0.875,bilinear
tf_efficientnet_b2_ns,+4,36.177,-46.203,63.823,57.555,-38.697,42.445,9.11,260,0.890,bicubic
ecaresnet101d,+6,36.006,-46.160,63.994,56.154,-39.898,43.846,44.57,224,0.875,bicubic
swsl_resnet18,+192,35.860,-37.426,64.140,58.437,-33.295,41.563,11.69,224,0.875,bilinear
resnest200e,-10,35.847,-47.987,64.153,55.890,-40.948,44.110,70.20,320,0.875,bilinear
resnest101e,-4,35.365,-47.525,64.635,55.786,-40.538,44.214,48.28,256,0.875,bilinear
ssl_resnext101_32x16d,+5,34.609,-47.227,65.391,55.914,-40.180,44.086,194.03,224,0.875,bilinear
resnest50d_4s2x40d,+16,34.361,-46.753,65.639,54.711,-40.857,45.289,30.42,224,0.875,bicubic
tf_efficientnet_b1_ns,+11,34.153,-47.233,65.847,55.489,-40.249,44.511,7.79,240,0.882,bicubic
tf_efficientnet_b4,-9,34.062,-48.954,65.938,54.216,-42.082,45.784,19.34,380,0.922,bicubic
ssl_resnext101_32x8d,+5,34.021,-47.605,65.979,55.593,-40.445,44.407,88.79,224,0.875,bilinear
tf_efficientnet_b6,-19,34.005,-50.107,65.995,54.540,-42.344,45.460,43.04,528,0.942,bicubic
efficientnet_b3_pruned,+18,33.996,-46.860,66.004,54.110,-41.130,45.890,9.86,300,0.904,bicubic
tresnet_xl,-4,33.259,-48.811,66.741,52.296,-43.632,47.704,78.44,224,0.875,bilinear
resnest50d_1s4x24d,+11,33.139,-47.851,66.861,52.831,-42.491,47.169,25.68,224,0.875,bicubic
resnest50d,+11,32.968,-47.990,67.032,52.701,-42.681,47.299,27.48,224,0.875,bilinear
tf_efficientnet_b3,-2,32.864,-48.776,67.136,52.962,-42.760,47.038,12.23,300,0.904,bicubic
inception_resnet_v2,+22,32.736,-47.724,67.264,50.640,-44.670,49.360,55.84,299,0.897,bicubic
gluon_resnet152_v1d,+20,32.730,-47.740,67.270,51.084,-44.122,48.916,60.21,224,0.875,bicubic
tf_efficientnet_b2_ap,+28,32.679,-47.627,67.321,52.233,-42.795,47.767,9.11,260,0.890,bicubic
nasnetalarge,-16,32.583,-49.975,67.417,49.787,-46.249,50.213,88.75,331,0.875,bicubic
tresnet_l,-3,32.567,-48.921,67.433,51.141,-44.487,48.859,55.99,224,0.875,bilinear
pnasnet5large,-20,32.532,-50.208,67.468,50.188,-45.852,49.812,86.06,331,0.875,bicubic
ens_adv_inception_resnet_v2,+34,32.370,-47.606,67.629,50.427,-44.519,49.573,55.84,299,0.897,bicubic
gluon_resnet152_v1s,=,32.331,-48.681,67.669,50.539,-44.877,49.461,60.32,224,0.875,bicubic
gluon_seresnext101_64x4d,+4,32.194,-48.696,67.806,50.327,-44.977,49.673,88.23,224,0.875,bicubic
gluon_seresnext101_32x4d,+2,32.115,-48.787,67.885,51.241,-44.053,48.759,48.96,224,0.875,bicubic
efficientnet_b3a,-17,31.728,-50.146,68.272,51.322,-44.518,48.678,12.23,320,1.000,bicubic
efficientnet_b3,-11,31.565,-49.933,68.435,51.272,-44.446,48.728,12.23,300,0.904,bicubic
resnet50,+64,31.545,-47.487,68.455,50.172,-44.212,49.828,25.56,224,0.875,bicubic
ssl_resnext101_32x4d,-3,31.433,-49.495,68.567,52.115,-43.613,47.885,44.18,224,0.875,bilinear
inception_v4,+22,31.382,-48.774,68.618,49.237,-45.737,50.763,42.68,299,0.875,bicubic
ecaresnetlight,+8,31.133,-49.321,68.868,50.252,-45.004,49.748,30.16,224,0.875,bicubic
gluon_resnet101_v1s,+15,31.113,-49.187,68.887,49.791,-45.359,50.209,44.67,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,+98,31.081,-46.827,68.919,50.773,-42.883,49.227,24.01,224,0.875,bicubic
ecaresnet50d,=,31.064,-49.540,68.936,50.846,-44.476,49.154,25.58,224,0.875,bicubic
gluon_resnet152_v1c,+23,31.007,-48.909,68.993,48.936,-45.906,51.064,60.21,224,0.875,bicubic
tresnet_m,-4,30.993,-49.803,69.007,48.690,-46.166,51.310,31.39,224,0.875,bilinear
gluon_resnext101_64x4d,-2,30.981,-49.621,69.019,48.553,-46.441,51.447,83.46,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,+42,30.901,-48.397,69.099,50.074,-44.290,49.926,39.72,240,0.882,bicubic
ecaresnet101d_pruned,-8,30.895,-49.913,69.105,50.001,-45.627,49.999,24.88,224,0.875,bicubic
gluon_resnext101_32x4d,+4,30.881,-49.453,69.119,48.537,-46.389,51.463,44.18,224,0.875,bicubic
tf_efficientnet_lite4,-26,30.840,-50.688,69.160,50.398,-45.270,49.602,13.01,380,0.920,bilinear
dpn107,+9,30.680,-49.484,69.320,48.806,-46.106,51.194,86.92,224,0.875,bicubic
ese_vovnet39b,+33,30.677,-48.643,69.323,49.893,-44.817,50.107,24.57,224,0.875,bicubic
tresnet_xl_448,-46,30.620,-52.428,69.380,49.072,-47.102,50.928,78.44,448,0.875,bilinear
gluon_resnet152_v1b,+22,30.618,-49.074,69.382,48.529,-46.209,51.471,60.19,224,0.875,bicubic
ssl_resnext50_32x4d,-1,30.594,-49.734,69.406,50.653,-44.751,49.347,25.03,224,0.875,bilinear
gluon_resnet101_v1d,-6,30.509,-49.915,69.490,47.975,-47.045,52.025,44.57,224,0.875,bicubic
resnest26d,+62,30.500,-47.982,69.500,50.677,-43.613,49.323,17.07,224,0.875,bilinear
efficientnet_b2a,-16,30.423,-50.185,69.577,49.675,-45.635,50.325,9.11,288,1.000,bicubic
tf_efficientnet_b1_ap,+32,30.419,-48.859,69.581,49.553,-44.755,50.447,7.79,240,0.882,bicubic
dpn98,+18,30.058,-49.578,69.942,48.240,-46.354,51.760,61.57,224,0.875,bicubic
tf_efficientnet_b2,+2,30.020,-50.070,69.980,49.590,-45.316,50.410,9.11,260,0.890,bicubic
dpn131,+9,30.014,-49.814,69.986,48.144,-46.560,51.856,79.25,224,0.875,bicubic
senet154,-35,30.001,-51.303,69.999,48.032,-47.466,51.968,115.09,224,0.875,bilinear
dpn92,=,29.969,-50.047,70.031,49.160,-45.678,50.840,37.67,224,0.875,bicubic
gluon_senet154,-36,29.887,-51.337,70.113,47.873,-47.483,52.127,115.09,224,0.875,bicubic
xception,+34,29.849,-49.199,70.151,48.690,-45.702,51.310,22.86,299,0.897,bicubic
adv_inception_v3,+80,29.824,-47.756,70.176,47.867,-45.857,52.133,23.83,299,0.875,bicubic
resnetblur50,+22,29.623,-49.667,70.377,48.250,-46.382,51.750,25.56,224,0.875,bicubic
efficientnet_b2,-18,29.617,-50.785,70.383,48.773,-46.303,51.227,9.11,260,0.875,bicubic
gluon_xception65,+9,29.555,-50.049,70.445,47.523,-47.225,52.477,39.92,299,0.875,bicubic
resnext101_32x8d,+15,29.435,-49.877,70.565,48.482,-46.044,51.518,88.79,224,0.875,bilinear
ssl_resnet50,+20,29.423,-49.805,70.577,49.773,-45.059,50.227,25.56,224,0.875,bilinear
resnext50_32x4d,=,29.328,-50.434,70.671,47.395,-47.205,52.605,25.03,224,0.875,bicubic
ecaresnet50d_pruned,=,29.216,-50.502,70.784,48.458,-46.432,51.542,19.94,224,0.875,bicubic
tresnet_l_448,-61,29.167,-53.101,70.833,47.234,-48.744,52.766,55.99,448,0.875,bilinear
gluon_inception_v3,+32,29.114,-49.690,70.886,46.943,-47.437,53.057,23.83,299,0.875,bicubic
hrnet_w64,+5,28.987,-50.485,71.013,47.140,-47.510,52.860,128.06,224,0.875,bilinear
tf_efficientnet_b0_ns,+37,28.914,-49.738,71.086,49.011,-45.357,50.989,5.29,224,0.875,bicubic
tf_efficientnet_b1,+28,28.892,-49.940,71.108,47.511,-46.685,52.489,7.79,240,0.882,bicubic
gluon_resnet101_v1b,+8,28.857,-50.447,71.143,46.371,-48.153,53.629,44.55,224,0.875,bicubic
skresnext50_32x4d,-19,28.818,-51.332,71.182,46.503,-48.141,53.497,27.48,224,0.875,bicubic
tf_efficientnet_lite3,-10,28.654,-51.158,71.346,47.358,-47.556,52.642,8.20,300,0.904,bilinear
hrnet_w40,+20,28.645,-50.289,71.355,47.443,-47.023,52.557,57.56,224,0.875,bilinear
gluon_seresnext50_32x4d,-16,28.641,-51.271,71.359,46.450,-48.368,53.550,27.56,224,0.875,bicubic
skresnet34,+81,28.629,-48.281,71.371,47.957,-45.359,52.043,22.28,224,0.875,bicubic
resnet152,+40,28.535,-49.777,71.465,47.114,-46.932,52.886,60.19,224,0.875,bilinear
hrnet_w48,=,28.407,-50.903,71.593,47.574,-46.944,52.426,77.47,224,0.875,bilinear
gluon_resnext50_32x4d,-4,28.383,-50.973,71.617,45.326,-49.098,54.674,25.03,224,0.875,bicubic
efficientnet_b2_pruned,-23,28.366,-51.552,71.634,47.059,-47.789,52.941,8.31,260,0.890,bicubic
tf_efficientnet_b0_ap,+72,28.350,-48.734,71.650,47.531,-45.723,52.469,5.29,224,0.875,bicubic
dla102x2,-8,28.319,-51.133,71.681,46.757,-47.887,53.243,41.75,224,0.875,bilinear
dla169,+19,28.311,-50.399,71.689,47.399,-46.939,52.601,53.99,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,+62,28.311,-48.993,71.689,47.364,-45.968,52.636,13.31,224,0.875,bicubic
mixnet_xl,-49,28.293,-52.185,71.707,46.717,-48.215,53.283,11.90,224,0.875,bicubic
gluon_resnet50_v1d,+3,28.236,-50.838,71.764,45.876,-48.600,54.124,25.58,224,0.875,bicubic
wide_resnet101_2,+10,28.106,-50.740,71.894,46.425,-47.859,53.575,126.89,224,0.875,bilinear
gluon_resnet101_v1c,-16,28.102,-51.442,71.898,45.953,-48.633,54.047,44.57,224,0.875,bicubic
densenet161,+56,28.100,-49.248,71.900,46.651,-46.997,53.349,28.68,224,0.875,bicubic
regnetx_320,-41,28.079,-52.167,71.921,45.120,-49.902,54.880,107.81,224,0.875,bicubic
regnety_320,-61,28.071,-52.743,71.929,45.460,-49.780,54.540,145.05,224,0.875,bicubic
dpn68b,+48,27.884,-49.630,72.116,47.460,-46.362,52.540,12.61,224,0.875,bicubic
regnetx_160,-32,27.825,-52.041,72.175,45.631,-49.197,54.369,54.28,224,0.875,bicubic
tf_inception_v3,+38,27.786,-50.070,72.214,45.711,-47.933,54.289,23.83,299,0.875,bicubic
res2net101_26w_4s,-8,27.774,-51.422,72.226,45.171,-49.269,54.829,45.21,224,0.875,bilinear
regnety_160,-48,27.639,-52.661,72.361,45.534,-49.428,54.466,83.59,224,0.875,bicubic
hrnet_w44,-2,27.625,-51.269,72.375,45.831,-48.539,54.169,67.06,224,0.875,bilinear
inception_v3,+45,27.570,-49.866,72.430,45.261,-48.215,54.739,23.83,299,0.875,bicubic
regnetx_080,-13,27.411,-51.787,72.589,45.022,-49.536,54.978,39.57,224,0.875,bicubic
hrnet_w30,+21,27.385,-50.811,72.615,46.542,-47.678,53.458,37.71,224,0.875,bilinear
hrnet_w32,+13,27.377,-51.071,72.623,45.990,-48.198,54.010,41.23,224,0.875,bilinear
gluon_resnet50_v1s,-1,27.326,-51.386,72.674,45.214,-49.028,54.786,25.68,224,0.875,bicubic
densenet201,+45,27.261,-50.029,72.739,46.224,-47.254,53.776,20.01,224,0.875,bicubic
regnety_064,-38,27.228,-52.484,72.772,44.851,-49.923,55.149,30.58,224,0.875,bicubic
densenetblur121d,+57,27.224,-49.352,72.776,46.307,-46.883,53.693,8.00,224,0.875,bicubic
efficientnet_b1_pruned,+13,27.195,-51.047,72.805,45.872,-47.960,54.128,6.33,240,0.882,bicubic
res2net50_26w_8s,-22,27.073,-52.137,72.927,44.432,-49.930,55.568,48.40,224,0.875,bilinear
dla102x,=,27.023,-51.485,72.977,45.495,-48.739,54.505,26.77,224,0.875,bilinear
resnet101,+35,26.968,-50.406,73.031,45.236,-48.310,54.764,44.55,224,0.875,bilinear
resnext50d_32x4d,-42,26.874,-52.800,73.126,44.430,-50.438,55.570,25.05,224,0.875,bicubic
regnetx_120,-40,26.864,-52.726,73.136,44.682,-50.058,55.318,46.11,224,0.875,bicubic
seresnext101_32x4d,-62,26.819,-53.417,73.181,43.508,-51.520,56.492,48.96,224,0.875,bilinear
densenet169,+55,26.811,-49.101,73.189,45.375,-47.649,54.625,14.15,224,0.875,bicubic
regnetx_064,-24,26.802,-52.264,73.198,44.904,-49.552,55.096,26.21,224,0.875,bicubic
regnety_120,-72,26.782,-53.600,73.218,44.440,-50.688,55.560,51.82,224,0.875,bicubic
regnetx_032,+6,26.707,-51.459,73.293,45.226,-48.854,54.774,15.30,224,0.875,bicubic
densenet121,+55,26.676,-48.898,73.324,45.900,-46.756,54.100,7.98,224,0.875,bicubic
seresnet152,-13,26.672,-51.986,73.328,43.945,-50.429,56.055,66.82,224,0.875,bilinear
tf_efficientnet_el,-79,26.623,-53.825,73.377,44.636,-50.524,55.364,10.59,300,0.904,bicubic
efficientnet_es,+4,26.617,-51.437,73.383,45.106,-48.824,54.894,5.44,224,0.875,bicubic
res2net50_26w_6s,-14,26.587,-51.987,73.413,43.978,-50.148,56.022,37.05,224,0.875,bilinear
dla60x,-4,26.564,-51.678,73.436,45.039,-48.983,54.961,17.65,224,0.875,bilinear
regnety_080,-63,26.515,-53.353,73.485,44.355,-50.477,55.645,39.18,224,0.875,bicubic
tf_efficientnet_b0,+34,26.491,-50.349,73.509,45.656,-47.570,54.344,5.29,224,0.875,bicubic
res2net50_14w_8s,-2,26.471,-51.681,73.529,44.369,-49.473,55.631,25.06,224,0.875,bilinear
gluon_resnet50_v1b,+13,26.432,-51.146,73.568,44.033,-49.685,55.967,25.56,224,0.875,bicubic
regnetx_040,-18,26.239,-52.247,73.760,44.424,-49.818,55.576,22.12,224,0.875,bicubic
dpn68,+37,26.122,-50.184,73.878,44.233,-48.737,55.767,12.61,224,0.875,bicubic
hrnet_w18,+30,25.976,-50.780,74.024,44.809,-48.633,55.191,21.30,224,0.875,bilinear
regnety_040,-46,25.913,-53.309,74.087,43.854,-50.802,56.146,20.65,224,0.875,bicubic
resnet34,+49,25.884,-49.228,74.116,43.990,-48.298,56.010,21.80,224,0.875,bilinear
res2net50_26w_4s,-2,25.870,-52.076,74.130,43.161,-50.691,56.839,25.70,224,0.875,bilinear
tresnet_m_448,-121,25.850,-55.862,74.150,42.868,-52.702,57.132,31.39,448,0.875,bilinear
gluon_resnet50_v1c,-8,25.795,-52.215,74.205,43.017,-50.971,56.983,25.58,224,0.875,bicubic
selecsls60,-6,25.729,-52.253,74.272,44.069,-49.763,55.931,30.67,224,0.875,bicubic
dla60_res2net,-25,25.642,-52.830,74.358,43.589,-50.615,56.411,21.15,224,0.875,bilinear
dla60_res2next,-24,25.638,-52.810,74.362,43.670,-50.474,56.330,17.33,224,0.875,bilinear
tf_efficientnet_lite1,+23,25.506,-51.132,74.493,43.583,-49.649,56.417,5.42,240,0.882,bicubic
mixnet_l,-46,25.499,-53.477,74.501,43.463,-50.721,56.537,7.33,224,0.875,bicubic
efficientnet_b1,-37,25.483,-53.215,74.517,43.286,-50.866,56.714,7.79,240,0.875,bicubic
tv_resnext50_32x4d,-5,25.469,-52.149,74.531,42.791,-50.907,57.209,25.03,224,0.875,bilinear
tf_mixnet_l,-42,25.420,-53.350,74.580,42.544,-51.460,57.456,7.33,224,0.875,bicubic
res2next50,-23,25.395,-52.847,74.606,42.492,-51.400,57.508,24.67,224,0.875,bilinear
selecsls60b,-29,25.328,-53.090,74.672,43.554,-50.612,56.446,32.77,224,0.875,bicubic
seresnet101,-29,25.328,-53.068,74.672,42.828,-51.430,57.172,49.33,224,0.875,bilinear
regnety_032,-50,25.324,-53.546,74.676,42.907,-51.495,57.093,19.44,224,0.875,bicubic
dla102,-22,25.314,-52.712,74.686,43.837,-50.113,56.163,33.73,224,0.875,bilinear
wide_resnet50_2,-36,25.310,-53.158,74.690,42.178,-51.908,57.822,68.88,224,0.875,bilinear
resnest14d,+25,25.282,-50.222,74.718,44.121,-48.393,55.879,10.61,224,0.875,bilinear
seresnext50_32x4d,-62,25.218,-53.858,74.782,41.938,-52.496,58.062,27.56,224,0.875,bilinear
res2net50_48w_2s,-10,25.023,-52.491,74.977,42.202,-51.346,57.798,25.29,224,0.875,bilinear
efficientnet_b0,-18,25.015,-52.677,74.985,42.785,-50.747,57.215,5.29,224,0.875,bicubic
gluon_resnet34_v1b,+35,24.948,-49.632,75.052,42.237,-49.751,57.763,21.80,224,0.875,bicubic
mobilenetv2_120d,-7,24.933,-52.361,75.067,43.064,-50.438,56.936,5.83,224,0.875,bicubic
dla60,-1,24.927,-52.097,75.073,43.302,-50.006,56.698,22.33,224,0.875,bilinear
regnety_016,-23,24.819,-53.033,75.181,42.626,-51.090,57.374,11.20,224,0.875,bicubic
tf_efficientnet_em,-53,24.534,-54.164,75.466,42.410,-51.910,57.590,6.90,240,0.882,bicubic
tf_efficientnet_lite2,-16,24.530,-52.930,75.470,42.292,-51.454,57.708,6.09,260,0.890,bicubic
skresnet18,+36,24.494,-48.550,75.505,42.538,-48.640,57.462,11.96,224,0.875,bicubic
regnetx_016,-4,24.477,-52.453,75.523,42.502,-50.916,57.498,9.19,224,0.875,bicubic
tf_efficientnet_lite0,+22,24.371,-50.471,75.629,42.510,-49.660,57.490,4.65,224,0.875,bicubic
tv_resnet50,+4,24.092,-52.038,75.908,41.309,-51.553,58.691,25.56,224,0.875,bilinear
seresnet34,+21,24.037,-50.771,75.963,41.895,-50.231,58.105,21.96,224,0.875,bilinear
tv_densenet121,+21,23.846,-50.906,76.154,41.921,-50.231,58.079,7.98,224,0.875,bicubic
tf_efficientnet_es,-16,23.824,-53.440,76.176,41.319,-52.281,58.681,5.44,224,0.875,bicubic
mobilenetv2_140,-3,23.710,-52.814,76.290,41.469,-51.521,58.531,6.11,224,0.875,bicubic
mixnet_m,-17,23.709,-53.547,76.291,41.139,-52.279,58.861,5.01,224,0.875,bicubic
dla34,+19,23.677,-50.959,76.323,41.543,-50.521,58.457,15.78,224,0.875,bilinear
seresnet50,-34,23.644,-53.992,76.356,40.081,-53.671,59.919,28.09,224,0.875,bilinear
tf_mixnet_m,-15,23.479,-53.471,76.521,41.005,-52.151,58.995,5.01,224,0.875,bicubic
tv_resnet34,+22,23.473,-49.841,76.527,41.367,-50.053,58.633,21.80,224,0.875,bilinear
selecsls42b,-21,23.366,-53.810,76.633,40.677,-52.715,59.323,32.46,224,0.875,bicubic
mobilenetv2_110d,+8,23.070,-51.982,76.930,40.744,-51.436,59.256,4.52,224,0.875,bicubic
mobilenetv3_large_100,-5,22.665,-53.103,77.335,40.785,-51.755,59.215,5.48,224,0.875,bicubic
mobilenetv3_rw,-4,22.626,-53.002,77.374,40.370,-52.340,59.630,5.48,224,0.875,bicubic
tf_mobilenetv3_large_100,-3,22.571,-52.945,77.429,39.759,-52.841,60.241,5.48,224,0.875,bilinear
hrnet_w18_small_v2,+1,22.341,-52.785,77.659,39.847,-52.569,60.153,15.60,224,0.875,bilinear
regnety_008,-14,22.113,-54.201,77.887,38.896,-54.166,61.104,6.26,224,0.875,bicubic
seresnext26tn_32x4d,-52,22.003,-55.987,77.997,38.492,-55.256,61.508,16.81,224,0.875,bicubic
seresnext26t_32x4d,-52,21.987,-56.001,78.013,38.566,-55.140,61.434,16.82,224,0.875,bicubic
regnety_006,-4,21.973,-53.287,78.027,38.953,-53.575,61.047,6.06,224,0.875,bicubic
regnetx_008,=,21.952,-53.070,78.048,38.930,-53.414,61.070,7.26,224,0.875,bicubic
resnet26d,-23,21.914,-54.766,78.086,38.617,-54.549,61.383,16.01,224,0.875,bicubic
semnasnet_100,-9,21.897,-53.559,78.103,38.604,-53.988,61.396,3.89,224,0.875,bicubic
regnetx_006,+6,21.743,-52.119,78.257,38.904,-52.776,61.096,6.20,224,0.875,bicubic
gluon_resnet18_v1b,+16,21.545,-49.285,78.455,38.873,-50.883,61.127,11.69,224,0.875,bicubic
fbnetc_100,-8,21.492,-53.628,78.508,38.165,-54.221,61.835,5.57,224,0.875,bilinear
mnasnet_100,-2,21.350,-53.306,78.650,37.715,-54.411,62.285,4.38,224,0.875,bicubic
resnet26,-13,21.295,-53.997,78.705,38.016,-54.554,61.984,16.00,224,0.875,bicubic
ssl_resnet18,+7,21.278,-51.322,78.722,39.114,-52.302,60.886,11.69,224,0.875,bilinear
mixnet_s,-24,21.258,-54.730,78.742,38.193,-54.601,61.807,4.13,224,0.875,bicubic
seresnext26d_32x4d,-55,21.254,-56.350,78.746,37.285,-56.327,62.715,16.81,224,0.875,bicubic
seresnext26_32x4d,-41,21.093,-56.007,78.907,37.639,-55.671,62.361,16.79,224,0.875,bicubic
regnetx_004,+4,20.887,-51.519,79.113,37.548,-53.282,62.452,5.16,224,0.875,bicubic
spnasnet_100,-6,20.867,-53.213,79.133,37.892,-53.940,62.108,4.42,224,0.875,bilinear
seresnet18,+5,20.840,-50.918,79.160,37.645,-52.689,62.355,11.78,224,0.875,bicubic
mobilenetv2_100,-1,20.761,-52.217,79.239,37.751,-53.265,62.249,3.50,224,0.875,bicubic
tf_mixnet_s,-28,20.478,-55.170,79.522,36.627,-56.009,63.373,4.13,224,0.875,bicubic
regnety_004,-9,20.417,-53.609,79.583,37.030,-54.718,62.970,4.34,224,0.875,bicubic
tf_mobilenetv3_large_075,-8,20.372,-53.070,79.628,36.770,-54.582,63.230,3.99,224,0.875,bilinear
hrnet_w18_small,-2,20.366,-51.976,79.634,37.094,-53.578,62.906,13.19,224,0.875,bilinear
resnet18,+2,20.228,-49.530,79.772,37.260,-51.818,62.740,11.69,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,-3,20.116,-52.128,79.884,36.904,-53.732,63.096,3.92,224,0.875,bilinear
regnety_002,-1,17.460,-52.822,82.540,32.443,-57.097,67.557,3.16,224,0.875,bicubic
regnetx_002,=,16.951,-51.803,83.049,32.235,-56.313,67.765,2.68,224,0.875,bicubic
dla60x_c,+1,16.326,-51.582,83.674,31.775,-56.659,68.225,1.34,224,0.875,bilinear
tf_mobilenetv3_small_100,-1,16.233,-51.685,83.767,31.223,-56.439,68.777,2.54,224,0.875,bilinear
tf_mobilenetv3_small_075,+1,14.940,-50.778,85.060,29.572,-56.564,70.428,2.04,224,0.875,bilinear
dla46_c,+1,14.661,-50.217,85.339,29.374,-56.912,70.626,1.31,224,0.875,bilinear
dla46x_c,-2,14.380,-51.600,85.620,29.177,-57.803,70.823,1.08,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,=,13.968,-48.930,86.032,27.980,-56.250,72.019,2.04,224,0.875,bilinear

1 model rank_diff top1 top1_diff top1_err top5 top5_diff top5_err param_count img_size cropt_pct interpolation
2 ig_resnext101_32x48d +5 58.814 -26.628 41.186 81.086 -16.486 18.914 828.410 828.41 224 0.875 bilinear
3 ig_resnext101_32x32d +9 58.380 -26.712 41.620 80.379 -17.057 19.621 468.530 468.53 224 0.875 bilinear
4 ig_resnext101_32x16d +14 57.700 -26.476 42.300 79.913 -17.283 20.087 194.030 194.03 224 0.875 bilinear
5 swsl_resnext101_32x16d +18 57.466 -25.872 42.534 80.381 -16.471 19.619 194.030 194.03 224 0.875 bilinear
6 swsl_resnext101_32x8d +9 56.435 -27.859 43.565 78.934 -18.239 -18.240 21.066 88.790 88.79 224 0.875 bilinear
7 ig_resnext101_32x8d +23 54.918 -27.770 45.082 77.545 -19.087 22.455 88.790 88.79 224 0.875 bilinear
8 swsl_resnext101_32x4d +17 53.591 -29.643 46.409 76.339 -20.417 23.661 44.180 44.18 224 0.875 bilinear
9 tf_efficientnet_l2_ns_475 -6 51.487 -36.747 48.513 73.930 -24.617 -24.616 26.070 480.310 480.31 475 0.936 bicubic
10 swsl_resnext50_32x4d +24 50.449 -31.731 49.551 73.358 -22.870 26.642 25.030 25.03 224 0.875 bilinear
11 swsl_resnet50 +38 49.551 -31.629 50.449 72.332 -23.654 27.668 25.560 25.56 224 0.875 bilinear
12 tf_efficientnet_b7_ns -8 47.800 -39.038 52.200 69.638 -28.456 30.362 66.350 66.35 600 0.949 bicubic
13 tf_efficientnet_b6_ns -8 47.751 -38.711 52.249 69.962 -27.922 30.038 43.040 43.04 528 0.942 bicubic
14 tf_efficientnet_l2_ns -12 47.570 -40.782 52.430 70.017 -28.631 29.983 480.310 480.31 800 0.960 bicubic
15 tf_efficientnet_b8_ap -6 45.778 -39.590 54.222 67.905 -29.389 32.095 87.410 87.41 672 0.954 bicubic
16 tf_efficientnet_b5_ns -10 45.607 -40.473 54.393 67.852 -29.902 32.148 30.390 30.39 456 0.934 bicubic
17 tf_efficientnet_b4_ns -7 43.455 -41.703 56.545 65.513 -31.955 34.487 19.340 19.34 380 0.922 bicubic
18 tf_efficientnet_b8 -10 42.502 -42.868 57.498 64.874 -32.518 35.126 87.410 87.41 672 0.954 bicubic
19 tf_efficientnet_b7 -6 41.437 -43.495 58.563 63.027 -34.181 36.973 66.350 66.35 600 0.949 bicubic
20 tf_efficientnet_b7_ap -9 41.433 -43.685 58.567 62.876 -34.376 37.124 66.350 66.35 600 0.949 bicubic
21 tf_efficientnet_b5_ap -5 41.420 -42.834 58.580 62.082 -34.894 37.918 30.390 30.39 456 0.934 bicubic
22 tf_efficientnet_b6_ap -8 41.091 -43.695 58.909 62.359 -34.779 37.641 43.040 43.04 528 0.942 bicubic
23 tf_efficientnet_b4_ap +1 40.476 -42.772 59.524 61.713 -34.675 38.287 19.340 19.34 380 0.922 bicubic
24 tf_efficientnet_b3_ns -4 39.582 -44.472 60.418 61.463 -35.449 38.537 12.230 12.23 300 0.904 bicubic
25 tf_efficientnet_b5 -3 38.328 -45.488 61.672 59.928 -36.822 40.072 30.390 30.39 456 0.934 bicubic
26 tf_efficientnet_b3_ap +13 37.061 -44.767 62.939 57.236 -38.388 42.764 12.230 12.23 300 0.904 bicubic
27 resnest269e -10 36.670 -47.516 63.330 56.810 -40.112 43.190 110.930 110.93 416 0.875 bilinear
28 tf_efficientnet_b2_ns +4 36.177 -46.203 63.823 57.555 -38.697 42.445 9.110 9.11 260 0.890 bicubic
29 ecaresnet101d +6 36.006 -46.160 63.994 56.154 -39.898 43.846 44.570 44.57 224 0.875 bicubic
30 swsl_resnet18 +192 35.860 -37.426 64.140 58.437 -33.295 41.563 11.690 11.69 224 0.875 bilinear
31 resnest200e -10 35.847 -47.987 64.153 55.890 -40.948 44.110 70.200 70.20 320 0.875 bilinear
32 resnest101e -4 35.365 -47.525 64.635 55.786 -40.538 44.214 48.280 48.28 256 0.875 bilinear
33 ssl_resnext101_32x16d +5 34.609 -47.227 65.391 55.914 -40.180 44.086 194.030 194.03 224 0.875 bilinear
34 resnest50d_4s2x40d +16 34.361 -46.753 65.639 54.711 -40.857 45.289 30.420 30.42 224 0.875 bicubic
35 tf_efficientnet_b1_ns +11 34.153 -47.233 65.847 55.489 -40.249 44.511 7.790 7.79 240 0.882 bicubic
36 tf_efficientnet_b4 -9 34.062 -48.954 65.938 54.216 -42.082 45.784 19.340 19.34 380 0.922 bicubic
37 ssl_resnext101_32x8d +5 34.021 -47.605 65.979 55.593 -40.444 -40.445 44.407 88.790 88.79 224 0.875 bilinear
38 tf_efficientnet_b6 -19 34.005 -50.107 65.995 54.540 -42.344 45.460 43.040 43.04 528 0.942 bicubic
39 efficientnet_b3_pruned +18 33.996 -46.860 66.004 54.110 -41.130 45.890 9.860 9.86 300 0.904 bicubic
40 tresnet_xl -4 33.259 -48.811 66.741 52.296 -43.632 47.704 78.440 78.44 224 0.875 bilinear
41 resnest50d_1s4x24d +11 33.139 -47.851 66.861 52.831 -42.491 47.169 25.680 25.68 224 0.875 bicubic
42 resnest50d +11 32.968 -47.990 67.032 52.701 -42.681 47.299 27.480 27.48 224 0.875 bilinear
43 tf_efficientnet_b3 -2 32.864 -48.776 67.136 52.962 -42.760 47.038 12.230 12.23 300 0.904 bicubic
44 inception_resnet_v2 +22 32.736 -47.724 67.264 50.640 -44.670 49.360 55.840 55.84 299 0.897 bicubic
45 gluon_resnet152_v1d +20 32.730 -47.740 67.270 51.084 -44.122 48.916 60.210 60.21 224 0.875 bicubic
46 tf_efficientnet_b2_ap +28 32.679 -47.627 67.321 52.233 -42.795 47.767 9.110 9.11 260 0.890 bicubic
47 nasnetalarge -16 32.583 -49.975 67.417 49.787 -46.249 50.213 88.750 88.75 331 0.875 bicubic
48 tresnet_l -3 32.567 -48.921 67.433 51.141 -44.487 48.859 55.990 55.99 224 0.875 bilinear
49 pnasnet5large -20 32.532 -50.208 67.468 50.188 -45.852 49.812 86.060 86.06 331 0.875 bicubic
50 ens_adv_inception_resnet_v2 +34 32.370 -47.605 -47.606 67.629 50.427 -44.519 49.573 55.840 55.84 299 0.897 bicubic
51 gluon_resnet152_v1s = 32.331 -48.681 67.669 50.539 -44.877 49.461 60.320 60.32 224 0.875 bicubic
52 gluon_seresnext101_64x4d +4 32.194 -48.696 67.806 50.327 -44.977 49.673 88.230 88.23 224 0.875 bicubic
53 gluon_seresnext101_32x4d +2 32.115 -48.787 67.885 51.241 -44.053 48.759 48.960 48.96 224 0.875 bicubic
54 efficientnet_b3a -17 31.728 -50.146 68.272 51.322 -44.519 -44.518 48.678 12.230 12.23 320 1.000 bicubic
55 efficientnet_b3 -11 31.565 -49.933 68.435 51.272 -44.446 48.728 12.230 12.23 300 0.904 bicubic
56 resnet50 +64 31.545 -47.487 68.455 50.172 -44.212 49.828 25.560 25.56 224 0.875 bicubic
57 ssl_resnext101_32x4d -3 31.433 -49.495 68.567 52.115 -43.613 47.885 44.180 44.18 224 0.875 bilinear
58 inception_v4 +22 31.382 -48.774 68.618 49.237 -45.737 50.763 42.680 42.68 299 0.875 bicubic
59 ecaresnetlight +8 31.133 -49.321 68.868 50.252 -45.004 49.748 30.160 30.16 224 0.875 bicubic
60 gluon_resnet101_v1s +15 31.113 -49.187 68.887 49.791 -45.359 50.209 44.670 44.67 224 0.875 bicubic
61 tf_efficientnet_cc_b0_8e +98 31.081 -46.827 68.919 50.773 -42.883 49.227 24.010 24.01 224 0.875 bicubic
62 ecaresnet50d = 31.064 -49.540 68.936 50.846 -44.476 49.154 25.580 25.58 224 0.875 bicubic
63 gluon_resnet152_v1c +23 31.007 -48.909 68.993 48.936 -45.906 51.064 60.210 60.21 224 0.875 bicubic
64 tresnet_m -4 30.993 -49.803 69.007 48.690 -46.166 51.310 31.390 31.39 224 0.875 bilinear
65 gluon_resnext101_64x4d -2 30.981 -49.621 69.019 48.553 -46.441 51.447 83.460 83.46 224 0.875 bicubic
66 tf_efficientnet_cc_b1_8e +42 30.901 -48.397 69.099 50.074 -44.290 49.926 39.720 39.72 240 0.882 bicubic
67 ecaresnet101d_pruned -8 30.895 -49.913 69.105 50.001 -45.627 49.999 24.880 24.88 224 0.875 bicubic
68 gluon_resnext101_32x4d +4 30.881 -49.453 69.119 48.537 -46.389 51.463 44.180 44.18 224 0.875 bicubic
69 tf_efficientnet_lite4 -26 30.840 -50.688 69.160 50.398 -45.270 49.602 13.010 13.01 380 0.920 bilinear
70 dpn107 +9 30.680 -49.484 69.320 48.806 -46.106 51.194 86.920 86.92 224 0.875 bicubic
71 ese_vovnet39b +33 30.677 -48.643 69.323 49.893 -44.817 50.107 24.570 24.57 224 0.875 bicubic
72 tresnet_xl_448 -46 30.620 -52.428 69.380 49.072 -47.102 50.928 78.440 78.44 448 0.875 bilinear
73 gluon_resnet152_v1b +22 30.618 -49.074 69.382 48.529 -46.209 51.471 60.190 60.19 224 0.875 bicubic
74 ssl_resnext50_32x4d -1 30.594 -49.734 69.406 50.653 -44.751 49.347 25.030 25.03 224 0.875 bilinear
75 gluon_resnet101_v1d -6 30.509 -49.914 -49.915 69.490 47.975 -47.045 52.025 44.570 44.57 224 0.875 bicubic
76 resnest26d +62 30.500 -47.982 69.500 50.677 -43.613 49.323 17.070 17.07 224 0.875 bilinear
77 efficientnet_b2a -16 30.423 -50.185 69.577 49.675 -45.635 50.325 9.110 9.11 288 1.000 bicubic
78 tf_efficientnet_b1_ap +32 30.419 -48.859 69.581 49.553 -44.755 50.447 7.790 7.79 240 0.882 bicubic
79 dpn98 +18 30.058 -49.578 69.942 48.240 -46.354 51.760 61.570 61.57 224 0.875 bicubic
80 tf_efficientnet_b2 +2 30.020 -50.070 69.980 49.590 -45.316 50.410 9.110 9.11 260 0.890 bicubic
81 dpn131 +9 30.014 -49.814 69.986 48.144 -46.560 51.856 79.250 79.25 224 0.875 bicubic
82 senet154 -35 30.001 -51.303 69.999 48.032 -47.466 51.968 115.090 115.09 224 0.875 bilinear
83 dpn92 = 29.969 -50.047 70.031 49.160 -45.678 50.840 37.670 37.67 224 0.875 bicubic
84 gluon_senet154 -36 29.887 -51.337 70.113 47.873 -47.483 52.127 115.090 115.09 224 0.875 bicubic
85 xception +34 29.849 -49.199 70.151 48.690 -45.702 51.310 22.860 22.86 299 0.897 bicubic
86 adv_inception_v3 +80 29.824 -47.756 70.176 47.867 -45.857 52.133 23.830 23.83 299 0.875 bicubic
87 resnetblur50 +22 29.623 -49.667 70.377 48.250 -46.382 51.750 25.560 25.56 224 0.875 bicubic
88 efficientnet_b2 -18 29.617 -50.785 70.383 48.773 -46.303 51.227 9.110 9.11 260 0.875 bicubic
89 gluon_xception65 +9 29.555 -50.049 70.445 47.523 -47.225 52.477 39.920 39.92 299 0.875 bicubic
90 resnext101_32x8d +15 29.435 -49.877 70.565 48.482 -46.044 51.518 88.790 88.79 224 0.875 bilinear
91 ssl_resnet50 +20 29.423 -49.805 70.577 49.773 -45.059 50.227 25.560 25.56 224 0.875 bilinear
92 resnext50_32x4d = 29.328 -50.434 70.671 47.395 -47.205 52.605 25.030 25.03 224 0.875 bicubic
93 ecaresnet50d_pruned = 29.216 -50.502 70.784 48.458 -46.432 51.542 19.940 19.94 224 0.875 bicubic
94 tresnet_l_448 -61 29.167 -53.101 70.833 47.234 -48.744 52.766 55.990 55.99 448 0.875 bilinear
95 gluon_inception_v3 +32 29.114 -49.690 70.886 46.943 -47.437 53.057 23.830 23.83 299 0.875 bicubic
96 hrnet_w64 +5 28.987 -50.485 71.013 47.140 -47.510 52.860 128.060 128.06 224 0.875 bilinear
97 tf_efficientnet_b0_ns +37 28.914 -49.738 71.086 49.011 -45.357 50.989 5.290 5.29 224 0.875 bicubic
98 tf_efficientnet_b1 +28 28.892 -49.940 71.108 47.511 -46.685 52.489 7.790 7.79 240 0.882 bicubic
99 gluon_resnet101_v1b +8 28.857 -50.447 71.143 46.371 -48.153 53.629 44.550 44.55 224 0.875 bicubic
100 skresnext50_32x4d -19 28.818 -51.332 71.182 46.503 -48.141 53.497 27.480 27.48 224 0.875 bicubic
101 tf_efficientnet_lite3 -10 28.654 -51.157 -51.158 71.346 47.358 -47.556 52.642 8.200 8.20 300 0.904 bilinear
102 hrnet_w40 +20 28.645 -50.289 71.355 47.443 -47.024 -47.023 52.557 57.560 57.56 224 0.875 bilinear
103 gluon_seresnext50_32x4d -16 28.641 -51.271 71.359 46.450 -48.368 53.550 27.560 27.56 224 0.875 bicubic
104 skresnet34 +81 28.629 -48.281 71.371 47.957 -45.359 52.043 22.280 22.28 224 0.875 bicubic
105 resnet152 +40 28.535 -49.777 71.465 47.114 -46.932 52.886 60.190 60.19 224 0.875 bilinear
106 hrnet_w48 = 28.407 -50.903 71.593 47.574 -46.944 52.426 77.470 77.47 224 0.875 bilinear
107 gluon_resnext50_32x4d -4 28.383 -50.973 71.617 45.326 -49.098 54.674 25.030 25.03 224 0.875 bicubic
108 efficientnet_b2_pruned -23 28.366 -51.552 71.634 47.059 -47.789 52.941 8.310 8.31 260 0.890 bicubic
109 tf_efficientnet_b0_ap +72 28.350 -48.734 71.650 47.531 -45.723 52.469 5.290 5.29 224 0.875 bicubic
110 dla102x2 -8 28.319 -51.133 71.681 46.757 -47.887 53.243 41.750 41.75 224 0.875 bilinear
111 dla169 +19 28.311 -50.399 71.689 47.399 -46.939 52.601 53.990 53.99 224 0.875 bilinear
112 tf_efficientnet_cc_b0_4e +62 28.311 -48.993 71.689 47.364 -45.968 52.636 13.310 13.31 224 0.875 bicubic
113 mixnet_xl -49 28.293 -52.185 71.707 46.717 -48.215 53.283 11.900 11.90 224 0.875 bicubic
114 gluon_resnet50_v1d +3 28.236 -50.838 71.764 45.876 -48.600 54.124 25.580 25.58 224 0.875 bicubic
115 wide_resnet101_2 +10 28.106 -50.740 71.894 46.425 -47.859 53.575 126.890 126.89 224 0.875 bilinear
116 gluon_resnet101_v1c -16 28.102 -51.442 71.898 45.953 -48.633 54.047 44.570 44.57 224 0.875 bicubic
117 densenet161 +56 28.100 -49.248 71.900 46.651 -46.997 53.349 28.680 28.68 224 0.875 bicubic
118 regnetx_320 -41 28.079 -52.167 71.921 45.120 -49.902 54.880 107.810 107.81 224 0.875 bicubic
119 regnety_320 -61 28.071 -52.743 71.929 45.460 -49.780 54.540 145.050 145.05 224 0.875 bicubic
120 dpn68b +48 27.884 -49.630 72.116 47.460 -46.362 52.540 12.610 12.61 224 0.875 bicubic
121 regnetx_160 -32 27.825 -52.041 72.175 45.631 -49.197 54.369 54.280 54.28 224 0.875 bicubic
122 tf_inception_v3 +38 27.786 -50.070 72.214 45.711 -47.933 54.289 23.830 23.83 299 0.875 bicubic
123 res2net101_26w_4s -8 27.774 -51.422 72.226 45.171 -49.269 54.829 45.210 45.21 224 0.875 bilinear
124 regnety_160 -48 27.639 -52.661 72.361 45.534 -49.428 54.466 83.590 83.59 224 0.875 bicubic
125 hrnet_w44 -2 27.625 -51.269 72.375 45.831 -48.539 54.169 67.060 67.06 224 0.875 bilinear
126 inception_v3 +45 27.570 -49.866 72.430 45.261 -48.215 54.739 23.830 23.83 299 0.875 bicubic
127 regnetx_080 -13 27.411 -51.787 72.589 45.022 -49.536 54.978 39.570 39.57 224 0.875 bicubic
128 hrnet_w30 +21 27.385 -50.811 72.615 46.542 -47.678 53.458 37.710 37.71 224 0.875 bilinear
129 hrnet_w32 +13 27.377 -51.071 72.623 45.990 -48.198 54.010 41.230 41.23 224 0.875 bilinear
130 gluon_resnet50_v1s -1 27.326 -51.386 72.674 45.214 -49.028 54.786 25.680 25.68 224 0.875 bicubic
131 densenet201 +45 27.261 -50.029 72.739 46.224 -47.254 53.776 20.010 20.01 224 0.875 bicubic
132 regnety_064 -38 27.228 -52.484 72.772 44.851 -49.923 55.149 30.580 30.58 224 0.875 bicubic
133 densenetblur121d +57 27.224 -49.352 72.776 46.307 -46.883 53.693 8.000 8.00 224 0.875 bicubic
134 efficientnet_b1_pruned +13 27.195 -51.047 72.805 45.872 -47.960 54.128 6.330 6.33 240 0.882 bicubic
135 res2net50_26w_8s -22 27.073 -52.137 72.927 44.432 -49.930 55.568 48.400 48.40 224 0.875 bilinear
136 dla102x = 27.023 -51.484 -51.485 72.977 45.495 -48.739 54.505 26.770 26.77 224 0.875 bilinear
137 resnet101 +35 26.968 -50.405 -50.406 73.031 45.236 -48.310 54.764 44.550 44.55 224 0.875 bilinear
138 resnext50d_32x4d -42 26.874 -52.800 73.126 44.430 -50.438 55.570 25.050 25.05 224 0.875 bicubic
139 regnetx_120 -40 26.864 -52.726 73.136 44.682 -50.058 55.318 46.110 46.11 224 0.875 bicubic
140 seresnext101_32x4d -62 26.819 -53.417 73.181 43.508 -51.520 56.492 48.960 48.96 224 0.875 bilinear
141 densenet169 +55 26.811 -49.101 73.189 45.375 -47.649 54.625 14.150 14.15 224 0.875 bicubic
142 regnetx_064 -24 26.802 -52.264 73.198 44.904 -49.552 55.096 26.210 26.21 224 0.875 bicubic
143 regnety_120 -72 26.782 -53.600 73.218 44.440 -50.688 55.560 51.820 51.82 224 0.875 bicubic
144 regnetx_032 +6 26.707 -51.459 73.293 45.226 -48.854 54.774 15.300 15.30 224 0.875 bicubic
145 densenet121 +55 26.676 -48.898 73.324 45.900 -46.756 54.100 7.980 7.98 224 0.875 bicubic
146 seresnet152 -13 26.672 -51.986 73.328 43.945 -50.429 56.055 66.820 66.82 224 0.875 bilinear
147 tf_efficientnet_el -79 26.623 -53.825 73.377 44.636 -50.524 55.364 10.590 10.59 300 0.904 bicubic
148 efficientnet_es +4 26.617 -51.437 73.383 45.106 -48.824 54.894 5.440 5.44 224 0.875 bicubic
149 res2net50_26w_6s -14 26.587 -51.987 73.413 43.978 -50.148 56.022 37.050 37.05 224 0.875 bilinear
150 dla60x -4 26.564 -51.678 73.436 45.039 -48.983 54.961 17.650 17.65 224 0.875 bilinear
151 regnety_080 -63 26.515 -53.353 73.485 44.355 -50.477 55.645 39.180 39.18 224 0.875 bicubic
152 tf_efficientnet_b0 +34 26.491 -50.349 73.509 45.656 -47.570 54.344 5.290 5.29 224 0.875 bicubic
153 res2net50_14w_8s -2 26.471 -51.681 73.529 44.369 -49.473 55.631 25.060 25.06 224 0.875 bilinear
154 gluon_resnet50_v1b +13 26.432 -51.146 73.568 44.033 -49.685 55.967 25.560 25.56 224 0.875 bicubic
155 regnetx_040 -18 26.239 -52.247 73.760 44.424 -49.818 55.576 22.120 22.12 224 0.875 bicubic
156 dpn68 +37 26.122 -50.184 73.878 44.233 -48.736 -48.737 55.767 12.610 12.61 224 0.875 bicubic
157 hrnet_w18 +30 25.976 -50.780 74.024 44.809 -48.633 55.191 21.300 21.30 224 0.875 bilinear
158 regnety_040 -46 25.913 -53.309 74.087 43.854 -50.802 56.146 20.650 20.65 224 0.875 bicubic
159 resnet34 +49 25.884 -49.228 74.116 43.990 -48.298 56.010 21.800 21.80 224 0.875 bilinear
160 res2net50_26w_4s -2 25.870 -52.076 74.130 43.161 -50.691 56.839 25.700 25.70 224 0.875 bilinear
161 tresnet_m_448 -121 25.850 -55.862 74.150 42.868 -52.702 57.132 31.390 31.39 448 0.875 bilinear
162 gluon_resnet50_v1c -8 25.795 -52.215 74.205 43.017 -50.971 56.983 25.580 25.58 224 0.875 bicubic
163 selecsls60 -6 25.729 -52.254 -52.253 74.272 44.069 -49.764 -49.763 55.931 30.670 30.67 224 0.875 bicubic
164 dla60_res2net -25 25.642 -52.830 74.358 43.589 -50.615 56.411 21.150 21.15 224 0.875 bilinear
165 dla60_res2next -24 25.638 -52.810 74.362 43.670 -50.474 56.330 17.330 17.33 224 0.875 bilinear
166 tf_efficientnet_lite1 +23 25.506 -51.132 74.493 43.583 -49.649 56.417 5.420 5.42 240 0.882 bicubic
167 mixnet_l -46 25.499 -53.477 74.501 43.463 -50.721 56.537 7.330 7.33 224 0.875 bicubic
168 efficientnet_b1 -37 25.483 -53.215 74.517 43.286 -50.866 56.714 7.790 7.79 240 0.875 bicubic
169 tv_resnext50_32x4d -5 25.469 -52.149 74.531 42.791 -50.907 57.209 25.030 25.03 224 0.875 bilinear
170 tf_mixnet_l -42 25.420 -53.350 74.580 42.544 -51.460 57.456 7.330 7.33 224 0.875 bicubic
171 res2next50 -23 25.395 -52.848 -52.847 74.606 42.492 -51.400 57.508 24.670 24.67 224 0.875 bilinear
172 selecsls60b -29 25.328 -53.090 74.672 43.554 -50.612 56.446 32.770 32.77 224 0.875 bicubic
173 seresnet101 -29 25.328 -53.068 74.672 42.828 -51.429 -51.430 57.172 49.330 49.33 224 0.875 bilinear
174 regnety_032 -50 25.324 -53.546 74.676 42.907 -51.495 57.093 19.440 19.44 224 0.875 bicubic
175 dla102 -22 25.314 -52.712 74.686 43.837 -50.113 56.163 33.730 33.73 224 0.875 bilinear
176 wide_resnet50_2 -36 25.310 -53.158 74.690 42.178 -51.908 57.822 68.880 68.88 224 0.875 bilinear
177 resnest14d +25 25.282 -50.221 -50.222 74.718 44.121 -48.392 -48.393 55.879 10.610 10.61 224 0.875 bilinear
178 seresnext50_32x4d -62 25.218 -53.858 74.782 41.938 -52.496 58.062 27.560 27.56 224 0.875 bilinear
179 res2net50_48w_2s -10 25.023 -52.491 74.977 42.202 -51.346 57.798 25.290 25.29 224 0.875 bilinear
180 efficientnet_b0 -18 25.015 -52.677 74.985 42.785 -50.747 57.215 5.290 5.29 224 0.875 bicubic
181 gluon_resnet34_v1b +35 24.948 -49.632 75.052 42.237 -49.751 57.763 21.800 21.80 224 0.875 bicubic
182 mobilenetv2_120d -7 24.933 -52.361 75.067 43.064 -50.438 56.936 5.830 5.83 224 0.875 bicubic
183 dla60 -1 24.927 -52.097 75.073 43.302 -50.006 56.698 22.330 22.33 224 0.875 bilinear
184 regnety_016 -23 24.819 -53.033 75.181 42.626 -51.090 57.374 11.200 11.20 224 0.875 bicubic
185 tf_efficientnet_em -53 24.534 -54.164 75.466 42.410 -51.910 57.590 6.900 6.90 240 0.882 bicubic
186 tf_efficientnet_lite2 -16 24.530 -52.930 75.470 42.292 -51.454 57.708 6.090 6.09 260 0.890 bicubic
187 skresnet18 +36 24.494 -48.549 -48.550 75.505 42.538 -48.640 57.462 11.960 11.96 224 0.875 bicubic
188 regnetx_016 -4 24.477 -52.453 75.523 42.502 -50.916 57.498 9.190 9.19 224 0.875 bicubic
189 tf_efficientnet_lite0 +22 24.371 -50.471 75.629 42.510 -49.660 57.490 4.650 4.65 224 0.875 bicubic
190 tv_resnet50 +4 24.092 -52.038 75.908 41.309 -51.553 58.691 25.560 25.56 224 0.875 bilinear
191 seresnet34 +21 24.037 -50.771 75.963 41.895 -50.231 58.105 21.960 21.96 224 0.875 bilinear
192 tv_densenet121 +21 23.846 -50.906 76.154 41.921 -50.231 58.079 7.980 7.98 224 0.875 bicubic
193 tf_efficientnet_es -16 23.824 -53.440 76.176 41.319 -52.281 58.681 5.440 5.44 224 0.875 bicubic
194 mobilenetv2_140 -3 23.710 -52.814 76.290 41.469 -51.521 58.531 6.110 6.11 224 0.875 bicubic
195 mixnet_m -17 23.709 -53.547 76.291 41.139 -52.279 58.861 5.010 5.01 224 0.875 bicubic
196 dla34 +19 23.677 -50.959 76.323 41.543 -50.521 58.457 15.780 15.78 224 0.875 bilinear
197 seresnet50 -34 23.644 -53.992 76.356 40.081 -53.671 59.919 28.090 28.09 224 0.875 bilinear
198 tf_mixnet_m -15 23.479 -53.471 76.521 41.005 -52.151 58.995 5.010 5.01 224 0.875 bicubic
199 tv_resnet34 +22 23.473 -49.841 76.527 41.367 -50.053 58.633 21.800 21.80 224 0.875 bilinear
200 selecsls42b -21 23.366 -53.809 -53.810 76.633 40.677 -52.715 59.323 32.460 32.46 224 0.875 bicubic
201 mobilenetv2_110d +8 23.070 -51.982 76.930 40.744 -51.436 59.256 4.520 4.52 224 0.875 bicubic
202 mobilenetv3_large_100 -5 22.665 -53.103 77.335 40.785 -51.755 59.215 5.480 5.48 224 0.875 bicubic
203 mobilenetv3_rw -4 22.626 -53.002 77.374 40.370 -52.340 59.630 5.480 5.48 224 0.875 bicubic
204 tf_mobilenetv3_large_100 -3 22.571 -52.945 77.429 39.759 -52.841 60.241 5.480 5.48 224 0.875 bilinear
205 hrnet_w18_small_v2 +1 22.341 -52.785 77.659 39.847 -52.569 60.153 15.600 15.60 224 0.875 bilinear
206 regnety_008 -14 22.113 -54.201 77.887 38.896 -54.166 61.104 6.260 6.26 224 0.875 bicubic
207 seresnext26tn_32x4d -52 22.003 -55.987 77.997 38.492 -55.256 61.508 16.810 16.81 224 0.875 bicubic
208 seresnext26t_32x4d -52 21.987 -56.001 78.013 38.566 -55.140 61.434 16.820 16.82 224 0.875 bicubic
209 regnety_006 -4 21.973 -53.287 78.027 38.953 -53.575 61.047 6.060 6.06 224 0.875 bicubic
210 regnetx_008 = 21.952 -53.070 78.048 38.930 -53.414 61.070 7.260 7.26 224 0.875 bicubic
211 resnet26d -23 21.914 -54.766 78.086 38.617 -54.549 61.383 16.010 16.01 224 0.875 bicubic
212 semnasnet_100 -9 21.897 -53.559 78.103 38.604 -53.988 61.396 3.890 3.89 224 0.875 bicubic
213 regnetx_006 +6 21.743 -52.119 78.257 38.904 -52.776 61.096 6.200 6.20 224 0.875 bicubic
214 gluon_resnet18_v1b +16 21.545 -49.285 78.455 38.873 -50.883 61.127 11.690 11.69 224 0.875 bicubic
215 fbnetc_100 -8 21.492 -53.628 78.508 38.165 -54.221 61.835 5.570 5.57 224 0.875 bilinear
216 mnasnet_100 -2 21.350 -53.306 78.650 37.715 -54.411 62.285 4.380 4.38 224 0.875 bicubic
217 resnet26 -13 21.295 -53.997 78.705 38.016 -54.554 61.984 16.000 16.00 224 0.875 bicubic
218 ssl_resnet18 +7 21.278 -51.322 78.722 39.114 -52.301 -52.302 60.886 11.690 11.69 224 0.875 bilinear
219 mixnet_s -24 21.258 -54.730 78.742 38.193 -54.601 61.807 4.130 4.13 224 0.875 bicubic
220 seresnext26d_32x4d -55 21.254 -56.350 78.746 37.285 -56.327 62.715 16.810 16.81 224 0.875 bicubic
221 seresnext26_32x4d -41 21.093 -56.007 78.907 37.639 -55.671 62.361 16.790 16.79 224 0.875 bicubic
222 regnetx_004 +4 20.887 -51.519 79.113 37.548 -53.282 62.452 5.160 5.16 224 0.875 bicubic
223 spnasnet_100 -6 20.867 -53.213 79.133 37.892 -53.940 62.108 4.420 4.42 224 0.875 bilinear
224 seresnet18 +5 20.840 -50.918 79.160 37.645 -52.689 62.355 11.780 11.78 224 0.875 bicubic
225 mobilenetv2_100 -1 20.761 -52.217 79.239 37.751 -53.265 62.249 3.500 3.50 224 0.875 bicubic
226 tf_mixnet_s -28 20.478 -55.170 79.522 36.627 -56.009 63.373 4.130 4.13 224 0.875 bicubic
227 regnety_004 -9 20.417 -53.609 79.583 37.030 -54.718 62.970 4.340 4.34 224 0.875 bicubic
228 tf_mobilenetv3_large_075 -8 20.372 -53.070 79.628 36.770 -54.582 63.230 3.990 3.99 224 0.875 bilinear
229 hrnet_w18_small -2 20.366 -51.976 79.634 37.094 -53.578 62.906 13.190 13.19 224 0.875 bilinear
230 resnet18 +2 20.228 -49.530 79.772 37.260 -51.818 62.740 11.690 11.69 224 0.875 bilinear
231 tf_mobilenetv3_large_minimal_100 -3 20.116 -52.128 79.884 36.904 -53.732 63.096 3.920 3.92 224 0.875 bilinear
232 regnety_002 -1 17.460 -52.822 82.540 32.443 -57.097 67.557 3.160 3.16 224 0.875 bicubic
233 regnetx_002 = 16.951 -51.803 83.049 32.235 -56.313 67.765 2.680 2.68 224 0.875 bicubic
234 dla60x_c +1 16.326 -51.582 83.674 31.775 -56.659 68.225 1.340 1.34 224 0.875 bilinear
235 tf_mobilenetv3_small_100 -1 16.233 -51.685 83.767 31.223 -56.439 68.777 2.540 2.54 224 0.875 bilinear
236 tf_mobilenetv3_small_075 +1 14.940 -50.778 85.060 29.572 -56.564 70.428 2.040 2.04 224 0.875 bilinear
237 dla46_c +1 14.661 -50.217 85.339 29.374 -56.912 70.626 1.310 1.31 224 0.875 bilinear
238 dla46x_c -2 14.380 -51.600 85.620 29.177 -57.803 70.823 1.080 1.08 224 0.875 bilinear
239 tf_mobilenetv3_small_minimal_100 = 13.968 -48.930 86.032 27.980 -56.250 72.019 2.040 2.04 224 0.875 bilinear
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