add {rank,top1,top5}_diff in results

pull/183/head
KushajveerSingh 4 years ago
parent d72ac0db25
commit 856f6181f7

@ -0,0 +1,50 @@
import numpy as np
import pandas as pd
results = {
'results-imagenet.csv' : pd.read_csv('results-imagenet.csv'),
'results-imagenetv2-matched-frequency.csv': pd.read_csv('results-imagenetv2-matched-frequency.csv'),
'results-sketch.csv' : pd.read_csv('results-sketch.csv'),
'results-imagenet-a.csv' : pd.read_csv('results-imagenet-a.csv'),
}
def diff(csv_file):
base_models = results['results-imagenet.csv']['model'].values
csv_models = results[csv_file]['model'].values
rank_diff = np.zeros_like(csv_models, dtype='object')
top1_diff = np.zeros_like(csv_models, dtype='object')
top5_diff = np.zeros_like(csv_models, dtype='object')
for rank, model in enumerate(csv_models):
if model in base_models:
base_rank = int(np.where(base_models==model)[0])
top1_d = results[csv_file]['top1'][rank]-results['results-imagenet.csv']['top1'][base_rank]
top5_d = results[csv_file]['top5'][rank]-results['results-imagenet.csv']['top5'][base_rank]
# rank_diff
if rank == base_rank: rank_diff[rank] = f'='
elif rank > base_rank: rank_diff[rank] = f'-{rank-base_rank}'
else: rank_diff[rank] = f'+{base_rank-rank}'
# top1_diff
if top1_d >= .0: top1_diff[rank] = f'+{top1_d:.3f}'
else : top1_diff[rank] = f'-{abs(top1_d):.3f}'
# top5_diff
if top5_d >= .0: top5_diff[rank] = f'+{top5_d:.3f}'
else : top5_diff[rank] = f'-{abs(top5_d):.3f}'
else:
rank_diff[rank] = 'X'
top1_diff[rank] = 'X'
top5_diff[rank] = 'X'
results[csv_file]['rank_diff'] = rank_diff
results[csv_file]['top1_diff'] = top1_diff
results[csv_file]['top5_diff'] = top5_diff
results[csv_file].to_csv(csv_file, index=False, float_format='%.4f')
for csv_file in results:
if csv_file != 'results-imagenet.csv': diff(csv_file)

@ -1,239 +1,239 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns_475,62.3867,37.6133,87.1067,12.8933,480.31,475,0.936,bicubic
tf_efficientnet_l2_ns,62.0267,37.9733,87.96,12.04,480.31,800,0.96,bicubic
tf_efficientnet_b7_ns,45.72,54.28,74.2,25.8,66.35,600,0.949,bicubic
ig_resnext101_32x48d,41.5733,58.4267,66.6133,33.3867,828.41,224,0.875,bilinear
tf_efficientnet_b6_ns,40.4267,59.5733,68.84,31.16,43.04,528,0.942,bicubic
ig_resnext101_32x32d,39.4133,60.5867,63.76,36.24,468.53,224,0.875,bilinear
tf_efficientnet_b5_ns,39.0133,60.9867,68.04,31.96,30.39,456,0.934,bicubic
ig_resnext101_32x16d,36.0533,63.9467,59.04,40.96,194.03,224,0.875,bilinear
swsl_resnext101_32x8d,32.0667,67.9333,59.4,40.6,88.79,224,0.875,bilinear
tf_efficientnet_b4_ns,30.8,69.2,59.44,40.56,19.34,380,0.922,bicubic
tf_efficientnet_b8_ap,29.6,70.4,56.9333,43.0667,87.41,672,0.954,bicubic
tf_efficientnet_b8,29.3733,70.6267,57.0667,42.9333,87.41,672,0.954,bicubic
ig_resnext101_32x8d,28.7067,71.2933,52.32,47.68,88.79,224,0.875,bilinear
swsl_resnext101_32x16d,27.9467,72.0533,52.32,47.68,194.03,224,0.875,bilinear
tf_efficientnet_b7_ap,27.8133,72.1867,54.7733,45.2267,66.35,600,0.949,bicubic
resnest269e,27.6133,72.3867,53.1067,46.8933,110.93,416,0.875,bilinear
tresnet_xl_448,26.88,73.12,51.0933,48.9067,78.44,448,0.875,bilinear
resnest200e,26.4267,73.5733,51.9333,48.0667,70.2,320,0.875,bilinear
swsl_resnext101_32x4d,25.3467,74.6533,49.6267,50.3733,44.18,224,0.875,bilinear
tf_efficientnet_b7,25.2533,74.7467,51.6667,48.3333,66.35,600,0.949,bicubic
tresnet_l_448,24.5733,75.4267,48.6,51.4,55.99,448,0.875,bilinear
tf_efficientnet_b6_ap,24.3467,75.6533,50.4267,49.5733,43.04,528,0.942,bicubic
tf_efficientnet_b6,20.3733,79.6267,45.4933,54.5067,43.04,528,0.942,bicubic
tresnet_m_448,19.68,80.32,42.76,57.24,31.39,448,0.875,bilinear
tf_efficientnet_b5_ap,19.4667,80.5333,44.72,55.28,30.39,456,0.934,bicubic
tf_efficientnet_b3_ns,19.4133,80.5867,44.6267,55.3733,12.23,300,0.904,bicubic
swsl_resnext50_32x4d,18.0667,81.9333,41.8667,58.1333,25.03,224,0.875,bilinear
ssl_resnext101_32x16d,17.2133,82.7867,39.9467,60.0533,194.03,224,0.875,bilinear
tf_efficientnet_b5,17.0667,82.9333,41.9067,58.0933,30.39,456,0.934,bicubic
resnest101e,16.4933,83.5067,40.7467,59.2533,48.28,256,0.875,bilinear
swsl_resnet50,15.9867,84.0133,38.8533,61.1467,25.56,224,0.875,bilinear
ssl_resnext101_32x8d,15.12,84.88,37.72,62.28,88.79,224,0.875,bilinear
tf_efficientnet_b4_ap,13.68,86.32,35.92,64.08,19.34,380,0.922,bicubic
ecaresnet101d,13.3067,86.6933,35.5333,64.4667,44.57,224,0.875,bicubic
tf_efficientnet_b4,13.3067,86.6933,35.52,64.48,19.34,380,0.922,bicubic
pnasnet5large,13.08,86.92,32.2133,67.7867,86.06,331,0.875,bicubic
nasnetalarge,12.5733,87.4267,33.4133,66.5867,88.75,331,0.875,bicubic
ssl_resnext101_32x4d,12.12,87.88,31.8933,68.1067,44.18,224,0.875,bilinear
tf_efficientnet_b2_ns,11.7867,88.2133,32.96,67.04,9.11,260,0.89,bicubic
gluon_senet154,9.9067,90.0933,26.4533,73.5467,115.09,224,0.875,bicubic
resnest50d_4s2x40d,9.7867,90.2133,29.1467,70.8533,30.42,224,0.875,bicubic
ssl_resnext50_32x4d,9.6667,90.3333,28.4267,71.5733,25.03,224,0.875,bilinear
senet154,9.4533,90.5467,26.44,73.56,115.09,224,0.875,bilinear
tresnet_xl,9.3067,90.6933,28.4133,71.5867,78.44,224,0.875,bilinear
efficientnet_b3a,9.2667,90.7333,28.4267,71.5733,12.23,320,1.0,bicubic
efficientnet_b3,8.9467,91.0533,28.2133,71.7867,12.23,300,0.904,bicubic
inception_v4,8.92,91.08,24.7067,75.2933,42.68,299,0.875,bicubic
gluon_seresnext101_64x4d,8.8667,91.1333,27.32,72.68,88.23,224,0.875,bicubic
tf_efficientnet_b1_ns,8.6133,91.3867,27.28,72.72,7.79,240,0.882,bicubic
resnest50d_1s4x24d,8.52,91.48,26.7867,73.2133,25.68,224,0.875,bicubic
ecaresnet50d,8.5067,91.4933,26.2667,73.7333,25.58,224,0.875,bicubic
gluon_xception65,8.4667,91.5333,25.1333,74.8667,39.92,299,0.875,bicubic
gluon_resnet152_v1d,8.4133,91.5867,23.4533,76.5467,60.21,224,0.875,bicubic
inception_resnet_v2,8.16,91.84,23.5333,76.4667,55.84,299,0.8975,bicubic
tf_efficientnet_b3_ap,8.1333,91.8667,26.28,73.72,12.23,300,0.904,bicubic
gluon_seresnext101_32x4d,8.04,91.96,24.7333,75.2667,48.96,224,0.875,bicubic
tf_efficientnet_b3,8.0133,91.9867,25.4667,74.5333,12.23,300,0.904,bicubic
ens_adv_inception_resnet_v2,7.9867,92.0133,23.8267,76.1733,55.84,299,0.8975,bicubic
tf_efficientnet_lite4,7.9333,92.0667,25.56,74.44,13.01,380,0.92,bilinear
tresnet_l,7.88,92.12,25.1867,74.8133,55.99,224,0.875,bilinear
gluon_resnet152_v1s,7.8667,92.1333,23.1733,76.8267,60.32,224,0.875,bicubic
resnest50d,7.7467,92.2533,25.2933,74.7067,27.48,224,0.875,bilinear
gluon_resnext101_64x4d,7.7067,92.2933,23.24,76.76,83.46,224,0.875,bicubic
skresnext50_32x4d,7.08,92.92,23.0267,76.9733,27.48,224,0.875,bicubic
ssl_resnet50,7.0,93.0,23.92,76.08,25.56,224,0.875,bilinear
regnety_320,6.92,93.08,23.04,76.96,145.05,224,0.875,bicubic
ecaresnet101d_pruned,6.8,93.2,24.2,75.8,24.88,224,0.875,bicubic
ecaresnetlight,6.76,93.24,22.56,77.44,30.16,224,0.875,bicubic
efficientnet_b2a,6.76,93.24,23.4933,76.5067,9.11,288,1.0,bicubic
seresnext101_32x4d,6.4133,93.5867,21.52,78.48,48.96,224,0.875,bilinear
efficientnet_b2,6.0933,93.9067,21.9333,78.0667,9.11,260,0.875,bicubic
gluon_resnext101_32x4d,6.04,93.96,21.1333,78.8667,44.18,224,0.875,bicubic
regnetx_320,5.9867,94.0133,19.88,80.12,107.81,224,0.875,bicubic
ese_vovnet39b,5.9733,94.0267,21.2933,78.7067,24.57,224,0.875,bicubic
gluon_resnet101_v1d,5.92,94.08,19.9467,80.0533,44.57,224,0.875,bicubic
gluon_seresnext50_32x4d,5.7867,94.2133,21.4267,78.5733,27.56,224,0.875,bicubic
efficientnet_b3_pruned,5.7333,94.2667,21.36,78.64,9.86,300,0.904,bicubic
regnety_160,5.64,94.36,19.3467,80.6533,83.59,224,0.875,bicubic
gluon_inception_v3,5.5067,94.4933,19.9467,80.0533,23.83,299,0.875,bicubic
mixnet_xl,5.48,94.52,21.0933,78.9067,11.9,224,0.875,bicubic
tresnet_m,5.44,94.56,19.96,80.04,31.39,224,0.875,bilinear
regnety_120,5.4133,94.5867,19.8533,80.1467,51.82,224,0.875,bicubic
gluon_resnet101_v1s,5.28,94.72,19.5467,80.4533,44.67,224,0.875,bicubic
hrnet_w64,5.1333,94.8667,19.4533,80.5467,128.06,224,0.875,bilinear
regnety_080,5.0,95.0,18.6,81.4,39.18,224,0.875,bicubic
efficientnet_b2_pruned,4.9467,95.0533,19.3467,80.6533,8.31,260,0.89,bicubic
dpn107,4.88,95.12,17.6133,82.3867,86.92,224,0.875,bicubic
gluon_resnet152_v1c,4.8667,95.1333,17.7733,82.2267,60.21,224,0.875,bicubic
adv_inception_v3,4.7467,95.2533,17.5467,82.4533,23.83,299,0.875,bicubic
dla102x2,4.7467,95.2533,18.96,81.04,41.75,224,0.875,bilinear
tf_inception_v3,4.7467,95.2533,17.7467,82.2533,23.83,299,0.875,bicubic
hrnet_w48,4.72,95.28,18.44,81.56,77.47,224,0.875,bilinear
dpn131,4.64,95.36,16.8667,83.1333,79.25,224,0.875,bicubic
gluon_resnet152_v1b,4.5867,95.4133,16.5333,83.4667,60.19,224,0.875,bicubic
ecaresnet50d_pruned,4.5467,95.4533,18.5467,81.4533,19.94,224,0.875,bicubic
dpn92,4.4933,95.5067,18.2,81.8,37.67,224,0.875,bicubic
hrnet_w44,4.4933,95.5067,17.3467,82.6533,67.06,224,0.875,bilinear
regnetx_160,4.3733,95.6267,17.0933,82.9067,54.28,224,0.875,bicubic
resnext50d_32x4d,4.3467,95.6533,17.7733,82.2267,25.05,224,0.875,bicubic
xception,4.3467,95.6533,16.76,83.24,22.86,299,0.8975,bicubic
seresnext50_32x4d,4.28,95.72,17.8133,82.1867,27.56,224,0.875,bilinear
resnext50_32x4d,4.2533,95.7467,18.3867,81.6133,25.03,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,4.24,95.76,15.9467,84.0533,39.72,240,0.882,bicubic
regnety_064,4.2267,95.7733,17.1867,82.8133,30.58,224,0.875,bicubic
tf_efficientnet_el,4.2267,95.7733,18.1733,81.8267,10.59,300,0.904,bicubic
inception_v3,4.1867,95.8133,16.2933,83.7067,23.83,299,0.875,bicubic
tf_efficientnet_b2_ap,4.1733,95.8267,18.32,81.68,9.11,260,0.89,bicubic
seresnet152,4.1467,95.8533,15.8933,84.1067,66.82,224,0.875,bilinear
resnext101_32x8d,4.1333,95.8667,16.9867,83.0133,88.79,224,0.875,bilinear
tf_efficientnet_b0_ns,4.1333,95.8667,17.68,82.32,5.29,224,0.875,bicubic
dpn98,4.08,95.92,15.9467,84.0533,61.57,224,0.875,bicubic
res2net101_26w_4s,4.0,96.0,14.8267,85.1733,45.21,224,0.875,bilinear
efficientnet_b1,3.9733,96.0267,15.76,84.24,7.79,240,0.875,bicubic
tf_efficientnet_lite3,3.9333,96.0667,16.52,83.48,8.2,300,0.904,bilinear
tf_efficientnet_b2,3.7733,96.2267,16.6133,83.3867,9.11,260,0.89,bicubic
regnety_040,3.7467,96.2533,16.4,83.6,20.65,224,0.875,bicubic
hrnet_w30,3.68,96.32,15.5733,84.4267,37.71,224,0.875,bilinear
hrnet_w32,3.6533,96.3467,14.7867,85.2133,41.23,224,0.875,bilinear
hrnet_w40,3.6533,96.3467,15.44,84.56,57.56,224,0.875,bilinear
regnetx_120,3.6267,96.3733,15.9733,84.0267,46.11,224,0.875,bicubic
seresnext26t_32x4d,3.6133,96.3867,15.8933,84.1067,16.82,224,0.875,bicubic
tf_efficientnet_b1_ap,3.5467,96.4533,15.0667,84.9333,7.79,240,0.882,bicubic
seresnext26tn_32x4d,3.5067,96.4933,15.76,84.24,16.81,224,0.875,bicubic
resnest26d,3.4933,96.5067,15.6667,84.3333,17.07,224,0.875,bilinear
dla169,3.4667,96.5333,15.3333,84.6667,53.99,224,0.875,bilinear
gluon_resnext50_32x4d,3.4533,96.5467,16.12,83.88,25.03,224,0.875,bicubic
mixnet_l,3.44,96.56,15.3067,84.6933,7.33,224,0.875,bicubic
seresnext26d_32x4d,3.4,96.6,16.16,83.84,16.81,224,0.875,bicubic
res2net50_26w_8s,3.3333,96.6667,14.04,85.96,48.4,224,0.875,bilinear
resnetblur50,3.3333,96.6667,15.5867,84.4133,25.56,224,0.875,bicubic
dla102x,3.3067,96.6933,15.12,84.88,26.77,224,0.875,bilinear
gluon_resnet101_v1c,3.3067,96.6933,14.12,85.88,44.57,224,0.875,bicubic
seresnet101,3.2533,96.7467,15.4533,84.5467,49.33,224,0.875,bilinear
densenetblur121d,3.0667,96.9333,14.28,85.72,8.0,224,0.875,bicubic
dla60_res2next,3.04,96.96,14.4533,85.5467,17.33,224,0.875,bilinear
regnety_032,3.0267,96.9733,14.24,85.76,19.44,224,0.875,bicubic
gluon_resnet50_v1d,3.0133,96.9867,14.6267,85.3733,25.58,224,0.875,bicubic
wide_resnet101_2,2.96,97.04,13.9467,86.0533,126.89,224,0.875,bilinear
efficientnet_b1_pruned,2.9333,97.0667,14.4133,85.5867,6.33,240,0.882,bicubic
gluon_resnet50_v1s,2.92,97.08,13.12,86.88,25.68,224,0.875,bicubic
tf_efficientnet_b1,2.8667,97.1333,13.5067,86.4933,7.79,240,0.882,bicubic
res2net50_26w_6s,2.84,97.16,12.6,87.4,37.05,224,0.875,bilinear
efficientnet_b0,2.8133,97.1867,13.9067,86.0933,5.29,224,0.875,bicubic
tf_mixnet_l,2.8133,97.1867,13.04,86.96,7.33,224,0.875,bicubic
regnetx_064,2.7867,97.2133,13.88,86.12,26.21,224,0.875,bicubic
dpn68b,2.7067,97.2933,12.64,87.36,12.61,224,0.875,bicubic
selecsls60b,2.6933,97.3067,13.1733,86.8267,32.77,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,2.68,97.32,12.7733,87.2267,24.01,224,0.875,bicubic
dla60_res2net,2.64,97.36,14.2,85.8,21.15,224,0.875,bilinear
gluon_resnet101_v1b,2.6267,97.3733,13.5733,86.4267,44.55,224,0.875,bicubic
dla60x,2.6133,97.3867,13.3333,86.6667,17.65,224,0.875,bilinear
mixnet_m,2.5467,97.4533,12.4267,87.5733,5.01,224,0.875,bicubic
skresnet34,2.52,97.48,12.7733,87.2267,22.28,224,0.875,bicubic
efficientnet_es,2.3733,97.6267,13.88,86.12,5.44,224,0.875,bicubic
resnet152,2.36,97.64,12.2,87.8,60.19,224,0.875,bilinear
regnetx_080,2.3467,97.6533,12.6933,87.3067,39.57,224,0.875,bicubic
swsl_resnet18,2.3333,97.6667,11.2133,88.7867,11.69,224,0.875,bilinear
wide_resnet50_2,2.32,97.68,11.8,88.2,68.88,224,0.875,bilinear
seresnext26_32x4d,2.2933,97.7067,12.44,87.56,16.79,224,0.875,bicubic
hrnet_w18,2.2667,97.7333,11.8533,88.1467,21.3,224,0.875,bilinear
dla102,2.2533,97.7467,12.12,87.88,33.73,224,0.875,bilinear
resnet50,2.2267,97.7733,11.3333,88.6667,25.56,224,0.875,bicubic
regnety_016,2.1733,97.8267,11.44,88.56,11.2,224,0.875,bicubic
regnetx_040,2.16,97.84,11.8,88.2,22.12,224,0.875,bicubic
resnest14d,2.1467,97.8533,10.4,89.6,10.61,224,0.875,bilinear
selecsls60,2.08,97.92,12.84,87.16,30.67,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,2.08,97.92,10.9733,89.0267,13.31,224,0.875,bicubic
res2next50,2.0667,97.9333,11.4533,88.5467,24.67,224,0.875,bilinear
seresnet50,2.0667,97.9333,12.2667,87.7333,28.09,224,0.875,bilinear
densenet161,1.9733,98.0267,10.5867,89.4133,28.68,224,0.875,bicubic
tf_efficientnet_b0_ap,1.96,98.04,10.8,89.2,5.29,224,0.875,bicubic
regnetx_032,1.92,98.08,10.9467,89.0533,15.3,224,0.875,bicubic
tf_efficientnet_em,1.8133,98.1867,11.6267,88.3733,6.9,240,0.882,bicubic
tf_mixnet_m,1.8133,98.1867,10.5467,89.4533,5.01,224,0.875,bicubic
tf_efficientnet_lite2,1.8,98.2,11.1467,88.8533,6.09,260,0.89,bicubic
res2net50_14w_8s,1.7867,98.2133,10.3467,89.6533,25.06,224,0.875,bilinear
res2net50_26w_4s,1.7733,98.2267,10.44,89.56,25.7,224,0.875,bilinear
mobilenetv3_large_100,1.76,98.24,10.2933,89.7067,5.48,224,0.875,bicubic
densenet121,1.7333,98.2667,10.8533,89.1467,7.98,224,0.875,bicubic
tf_efficientnet_b0,1.6933,98.3067,9.7333,90.2667,5.29,224,0.875,bicubic
tv_resnext50_32x4d,1.68,98.32,10.6,89.4,25.03,224,0.875,bilinear
mobilenetv3_rw,1.6667,98.3333,10.7333,89.2667,5.48,224,0.875,bicubic
resnet101,1.6667,98.3333,9.8133,90.1867,44.55,224,0.875,bilinear
mobilenetv2_120d,1.64,98.36,10.4533,89.5467,5.83,224,0.875,bicubic
mixnet_s,1.5867,98.4133,10.2533,89.7467,4.13,224,0.875,bicubic
densenet201,1.5467,98.4533,9.6267,90.3733,20.01,224,0.875,bicubic
gluon_resnet50_v1c,1.5467,98.4533,10.6133,89.3867,25.58,224,0.875,bicubic
semnasnet_100,1.5467,98.4533,9.32,90.68,3.89,224,0.875,bicubic
selecsls42b,1.4667,98.5333,10.44,89.56,32.46,224,0.875,bicubic
tf_efficientnet_lite1,1.4533,98.5467,9.7067,90.2933,5.42,240,0.882,bicubic
regnety_008,1.4267,98.5733,8.9467,91.0533,6.26,224,0.875,bicubic
ssl_resnet18,1.3867,98.6133,8.16,91.84,11.69,224,0.875,bilinear
dla60,1.3467,98.6533,9.4667,90.5333,22.33,224,0.875,bilinear
dpn68,1.3467,98.6533,8.8133,91.1867,12.61,224,0.875,bicubic
res2net50_48w_2s,1.3067,98.6933,8.92,91.08,25.29,224,0.875,bilinear
tf_mixnet_s,1.28,98.72,8.7467,91.2533,4.13,224,0.875,bicubic
mobilenetv2_140,1.2533,98.7467,9.1067,90.8933,6.11,224,0.875,bicubic
fbnetc_100,1.2267,98.7733,8.7467,91.2533,5.57,224,0.875,bilinear
resnet26d,1.2267,98.7733,9.28,90.72,16.01,224,0.875,bicubic
densenet169,1.1867,98.8133,8.32,91.68,14.15,224,0.875,bicubic
tf_mobilenetv3_large_100,1.1867,98.8133,7.9467,92.0533,5.48,224,0.875,bilinear
gluon_resnet50_v1b,1.16,98.84,9.0267,90.9733,25.56,224,0.875,bicubic
seresnet34,1.12,98.88,7.4,92.6,21.96,224,0.875,bilinear
tf_efficientnet_es,1.12,98.88,8.6,91.4,5.44,224,0.875,bicubic
spnasnet_100,1.1067,98.8933,8.2533,91.7467,4.42,224,0.875,bilinear
tf_efficientnet_lite0,1.1067,98.8933,7.4933,92.5067,4.65,224,0.875,bicubic
regnetx_016,1.0933,98.9067,8.6267,91.3733,9.19,224,0.875,bicubic
dla34,1.08,98.92,7.6933,92.3067,15.78,224,0.875,bilinear
regnety_006,1.0533,98.9467,8.4,91.6,6.06,224,0.875,bicubic
regnety_004,1.0133,98.9867,7.3333,92.6667,4.34,224,0.875,bicubic
resnet34,0.9867,99.0133,7.5333,92.4667,21.8,224,0.875,bilinear
mobilenetv2_110d,0.9333,99.0667,8.1067,91.8933,4.52,224,0.875,bicubic
gluon_resnet34_v1b,0.8933,99.1067,6.6,93.4,21.8,224,0.875,bicubic
hrnet_w18_small_v2,0.8933,99.1067,7.3867,92.6133,15.6,224,0.875,bilinear
regnetx_008,0.8933,99.1067,6.9067,93.0933,7.26,224,0.875,bicubic
skresnet18,0.88,99.12,7.3867,92.6133,11.96,224,0.875,bicubic
mnasnet_100,0.8667,99.1333,7.8667,92.1333,4.38,224,0.875,bicubic
tf_mobilenetv3_large_075,0.8667,99.1333,6.72,93.28,3.99,224,0.875,bilinear
regnetx_006,0.76,99.24,6.4933,93.5067,6.2,224,0.875,bicubic
tf_mobilenetv3_small_100,0.7467,99.2533,4.6667,95.3333,2.54,224,0.875,bilinear
seresnet18,0.72,99.28,6.0267,93.9733,11.78,224,0.875,bicubic
regnetx_004,0.6933,99.3067,5.5067,94.4933,5.16,224,0.875,bicubic
tv_densenet121,0.68,99.32,6.9067,93.0933,7.98,224,0.875,bicubic
regnety_002,0.6667,99.3333,5.5333,94.4667,3.16,224,0.875,bicubic
tf_mobilenetv3_small_075,0.6267,99.3733,4.1733,95.8267,2.04,224,0.875,bilinear
resnet26,0.6,99.4,6.88,93.12,16.0,224,0.875,bicubic
tv_resnet34,0.6,99.4,5.52,94.48,21.8,224,0.875,bilinear
mobilenetv2_100,0.5333,99.4667,6.1867,93.8133,3.5,224,0.875,bicubic
dla46_c,0.52,99.48,4.1867,95.8133,1.31,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,0.48,99.52,4.88,95.12,3.92,224,0.875,bilinear
dla60x_c,0.4667,99.5333,5.2133,94.7867,1.34,224,0.875,bilinear
hrnet_w18_small,0.4533,99.5467,4.84,95.16,13.19,224,0.875,bilinear
dla46x_c,0.4133,99.5867,4.44,95.56,1.08,224,0.875,bilinear
gluon_resnet18_v1b,0.3867,99.6133,4.7867,95.2133,11.69,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,0.36,99.64,2.8667,97.1333,2.04,224,0.875,bilinear
resnet18,0.2933,99.7067,4.04,95.96,11.69,224,0.875,bilinear
regnetx_002,0.2267,99.7733,3.9867,96.0133,2.68,224,0.875,bicubic
tv_resnet50,0.0,100.0,2.8933,97.1067,25.56,224,0.875,bilinear
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,+1,62.3867,-25.847,37.6133,87.1067,-11.439,12.8933,480.3100,475,0.9360,bicubic
tf_efficientnet_l2_ns,-1,62.0267,-26.325,37.9733,87.9600,-10.688,12.0400,480.3100,800,0.9600,bicubic
tf_efficientnet_b7_ns,=,45.7200,-41.118,54.2800,74.2000,-23.894,25.8000,66.3500,600,0.9490,bicubic
ig_resnext101_32x48d,+2,41.5733,-43.869,58.4267,66.6133,-30.959,33.3867,828.4100,224,0.8750,bilinear
tf_efficientnet_b6_ns,-1,40.4267,-46.035,59.5733,68.8400,-29.044,31.1600,43.0400,528,0.9420,bicubic
ig_resnext101_32x32d,+5,39.4133,-45.679,60.5867,63.7600,-33.676,36.2400,468.5300,224,0.8750,bilinear
tf_efficientnet_b5_ns,-2,39.0133,-47.067,60.9867,68.0400,-29.714,31.9600,30.3900,456,0.9340,bicubic
ig_resnext101_32x16d,+9,36.0533,-48.123,63.9467,59.0400,-38.156,40.9600,194.0300,224,0.8750,bilinear
swsl_resnext101_32x8d,+5,32.0667,-52.227,67.9333,59.4000,-37.774,40.6000,88.7900,224,0.8750,bilinear
tf_efficientnet_b4_ns,-1,30.8000,-54.358,69.2000,59.4400,-38.028,40.5600,19.3400,380,0.9220,bicubic
tf_efficientnet_b8_ap,-3,29.6000,-55.768,70.4000,56.9333,-40.361,43.0667,87.4100,672,0.9540,bicubic
tf_efficientnet_b8,-5,29.3733,-55.997,70.6267,57.0667,-40.325,42.9333,87.4100,672,0.9540,bicubic
ig_resnext101_32x8d,+16,28.7067,-53.981,71.2933,52.3200,-44.312,47.6800,88.7900,224,0.8750,bilinear
swsl_resnext101_32x16d,+8,27.9467,-55.391,72.0533,52.3200,-44.532,47.6800,194.0300,224,0.8750,bilinear
tf_efficientnet_b7_ap,-5,27.8133,-57.305,72.1867,54.7733,-42.479,45.2267,66.3500,600,0.9490,bicubic
resnest269e,=,27.6133,-56.573,72.3867,53.1067,-43.815,46.8933,110.9300,416,0.8750,bilinear
tresnet_xl_448,+8,26.8800,-56.168,73.1200,51.0933,-45.081,48.9067,78.4400,448,0.8750,bilinear
resnest200e,+2,26.4267,-57.407,73.5733,51.9333,-44.905,48.0667,70.2000,320,0.8750,bilinear
swsl_resnext101_32x4d,+5,25.3467,-57.887,74.6533,49.6267,-47.129,50.3733,44.1800,224,0.8750,bilinear
tf_efficientnet_b7,-8,25.2533,-59.679,74.7467,51.6667,-45.541,48.3333,66.3500,600,0.9490,bicubic
tresnet_l_448,+11,24.5733,-57.695,75.4267,48.6000,-47.378,51.4000,55.9900,448,0.8750,bilinear
tf_efficientnet_b6_ap,-9,24.3467,-60.439,75.6533,50.4267,-46.711,49.5733,43.0400,528,0.9420,bicubic
tf_efficientnet_b6,-5,20.3733,-63.739,79.6267,45.4933,-51.391,54.5067,43.0400,528,0.9420,bicubic
tresnet_m_448,+15,19.6800,-62.032,80.3200,42.7600,-52.810,57.2400,31.3900,448,0.8750,bilinear
tf_efficientnet_b5_ap,-10,19.4667,-64.787,80.5333,44.7200,-52.256,55.2800,30.3900,456,0.9340,bicubic
tf_efficientnet_b3_ns,-7,19.4133,-64.641,80.5867,44.6267,-52.285,55.3733,12.2300,300,0.9040,bicubic
swsl_resnext50_32x4d,+6,18.0667,-64.113,81.9333,41.8667,-54.361,58.1333,25.0300,224,0.8750,bilinear
ssl_resnext101_32x16d,+9,17.2133,-64.623,82.7867,39.9467,-56.147,60.0533,194.0300,224,0.8750,bilinear
tf_efficientnet_b5,-8,17.0667,-66.749,82.9333,41.9067,-54.843,58.0933,30.3900,456,0.9340,bicubic
resnest101e,-3,16.4933,-66.397,83.5067,40.7467,-55.577,59.2533,48.2800,256,0.8750,bilinear
swsl_resnet50,+17,15.9867,-65.193,84.0133,38.8533,-57.133,61.1467,25.5600,224,0.8750,bilinear
ssl_resnext101_32x8d,+9,15.1200,-66.506,84.8800,37.7200,-58.318,62.2800,88.7900,224,0.8750,bilinear
tf_efficientnet_b4_ap,-10,13.6800,-69.568,86.3200,35.9200,-60.468,64.0800,19.3400,380,0.9220,bicubic
ecaresnet101d,=,13.3067,-68.859,86.6933,35.5333,-60.519,64.4667,44.5700,224,0.8750,bicubic
tf_efficientnet_b4,-9,13.3067,-69.709,86.6933,35.5200,-60.778,64.4800,19.3400,380,0.9220,bicubic
pnasnet5large,-8,13.0800,-69.660,86.9200,32.2133,-63.827,67.7867,86.0600,331,0.8750,bicubic
nasnetalarge,-7,12.5733,-69.985,87.4267,33.4133,-62.623,66.5867,88.7500,331,0.8750,bicubic
ssl_resnext101_32x4d,+15,12.1200,-68.808,87.8800,31.8933,-63.835,68.1067,44.1800,224,0.8750,bilinear
tf_efficientnet_b2_ns,-8,11.7867,-70.593,88.2133,32.9600,-63.292,67.0400,9.1100,260,0.8900,bicubic
gluon_senet154,+7,9.9067,-71.317,90.0933,26.4533,-68.903,73.5467,115.0900,224,0.8750,bicubic
resnest50d_4s2x40d,+8,9.7867,-71.327,90.2133,29.1467,-66.421,70.8533,30.4200,224,0.8750,bicubic
ssl_resnext50_32x4d,+30,9.6667,-70.661,90.3333,28.4267,-66.977,71.5733,25.0300,224,0.8750,bilinear
senet154,+3,9.4533,-71.851,90.5467,26.4400,-69.058,73.5600,115.0900,224,0.8750,bilinear
tresnet_xl,-9,9.3067,-72.763,90.6933,28.4133,-67.515,71.5867,78.4400,224,0.8750,bilinear
efficientnet_b3a,-9,9.2667,-72.607,90.7333,28.4267,-67.413,71.5733,12.2300,320,1.0000,bicubic
efficientnet_b3,-3,8.9467,-72.551,91.0533,28.2133,-67.505,71.7867,12.2300,300,0.9040,bicubic
inception_v4,+32,8.9200,-71.236,91.0800,24.7067,-70.267,75.2933,42.6800,299,0.8750,bicubic
gluon_seresnext101_64x4d,+7,8.8667,-72.023,91.1333,27.3200,-67.984,72.6800,88.2300,224,0.8750,bicubic
tf_efficientnet_b1_ns,-4,8.6133,-72.773,91.3867,27.2800,-68.458,72.7200,7.7900,240,0.8820,bicubic
resnest50d_1s4x24d,+1,8.5200,-72.470,91.4800,26.7867,-68.535,73.2133,25.6800,224,0.8750,bicubic
ecaresnet50d,+10,8.5067,-72.097,91.4933,26.2667,-69.055,73.7333,25.5800,224,0.8750,bicubic
gluon_xception65,+45,8.4667,-71.137,91.5333,25.1333,-69.615,74.8667,39.9200,299,0.8750,bicubic
gluon_resnet152_v1d,+11,8.4133,-72.057,91.5867,23.4533,-71.753,76.5467,60.2100,224,0.8750,bicubic
inception_resnet_v2,+11,8.1600,-72.300,91.8400,23.5333,-71.777,76.4667,55.8400,299,0.8975,bicubic
tf_efficientnet_b3_ap,-17,8.1333,-73.695,91.8667,26.2800,-69.344,73.7200,12.2300,300,0.9040,bicubic
gluon_seresnext101_32x4d,-2,8.0400,-72.862,91.9600,24.7333,-70.561,75.2667,48.9600,224,0.8750,bicubic
tf_efficientnet_b3,-17,8.0133,-73.627,91.9867,25.4667,-70.255,74.5333,12.2300,300,0.9040,bicubic
ens_adv_inception_resnet_v2,+25,7.9867,-71.989,92.0133,23.8267,-71.119,76.1733,55.8400,299,0.8975,bicubic
tf_efficientnet_lite4,-17,7.9333,-73.595,92.0667,25.5600,-70.108,74.4400,13.0100,380,0.9200,bilinear
tresnet_l,-16,7.8800,-73.608,92.1200,25.1867,-70.441,74.8133,55.9900,224,0.8750,bilinear
gluon_resnet152_v1s,-11,7.8667,-73.145,92.1333,23.1733,-72.243,76.8267,60.3200,224,0.8750,bicubic
resnest50d,-10,7.7467,-73.211,92.2533,25.2933,-70.089,74.7067,27.4800,224,0.8750,bilinear
gluon_resnext101_64x4d,-1,7.7067,-72.895,92.2933,23.2400,-71.754,76.7600,83.4600,224,0.8750,bicubic
skresnext50_32x4d,+16,7.0800,-73.070,92.9200,23.0267,-71.617,76.9733,27.4800,224,0.8750,bicubic
ssl_resnet50,+45,7.0000,-72.228,93.0000,23.9200,-70.912,76.0800,25.5600,224,0.8750,bilinear
regnety_320,-9,6.9200,-73.894,93.0800,23.0400,-72.200,76.9600,145.0500,224,0.8750,bicubic
ecaresnet101d_pruned,-9,6.8000,-74.008,93.2000,24.2000,-71.428,75.8000,24.8800,224,0.8750,bicubic
ecaresnetlight,-2,6.7600,-73.694,93.2400,22.5600,-72.696,77.4400,30.1600,224,0.8750,bicubic
efficientnet_b2a,-9,6.7600,-73.848,93.2400,23.4933,-71.817,76.5067,9.1100,288,1.0000,bicubic
seresnext101_32x4d,+7,6.4133,-73.823,93.5867,21.5200,-73.508,78.4800,48.9600,224,0.8750,bilinear
efficientnet_b2,-2,6.0933,-74.309,93.9067,21.9333,-73.143,78.0667,9.1100,260,0.8750,bicubic
gluon_resnext101_32x4d,-1,6.0400,-74.294,93.9600,21.1333,-73.793,78.8667,44.1800,224,0.8750,bicubic
regnetx_320,+3,5.9867,-74.259,94.0133,19.8800,-75.142,80.1200,107.8100,224,0.8750,bicubic
ese_vovnet39b,+29,5.9733,-73.347,94.0267,21.2933,-73.417,78.7067,24.5700,224,0.8750,bicubic
gluon_resnet101_v1d,-7,5.9200,-74.504,94.0800,19.9467,-75.073,80.0533,44.5700,224,0.8750,bicubic
gluon_seresnext50_32x4d,+10,5.7867,-74.125,94.2133,21.4267,-73.391,78.5733,27.5600,224,0.8750,bicubic
efficientnet_b3_pruned,-21,5.7333,-75.123,94.2667,21.3600,-73.880,78.6400,9.8600,300,0.9040,bicubic
regnety_160,-3,5.6400,-74.660,94.3600,19.3467,-75.615,80.6533,83.5900,224,0.8750,bicubic
gluon_inception_v3,+47,5.5067,-73.297,94.4933,19.9467,-74.433,80.0533,23.8300,299,0.8750,bicubic
mixnet_xl,-17,5.4800,-74.998,94.5200,21.0933,-73.839,78.9067,11.9000,224,0.8750,bicubic
tresnet_m,-22,5.4400,-75.356,94.5600,19.9600,-74.896,80.0400,31.3900,224,0.8750,bilinear
regnety_120,-12,5.4133,-74.969,94.5867,19.8533,-75.275,80.1467,51.8200,224,0.8750,bicubic
gluon_resnet101_v1s,-9,5.2800,-75.020,94.7200,19.5467,-75.603,80.4533,44.6700,224,0.8750,bicubic
hrnet_w64,+16,5.1333,-74.339,94.8667,19.4533,-75.197,80.5467,128.0600,224,0.8750,bilinear
regnety_080,+2,5.0000,-74.868,95.0000,18.6000,-76.232,81.4000,39.1800,224,0.8750,bicubic
efficientnet_b2_pruned,-2,4.9467,-74.971,95.0533,19.3467,-75.501,80.6533,8.3100,260,0.8900,bicubic
dpn107,-9,4.8800,-75.284,95.1200,17.6133,-77.299,82.3867,86.9200,224,0.8750,bicubic
gluon_resnet152_v1c,-3,4.8667,-75.049,95.1333,17.7733,-77.069,82.2267,60.2100,224,0.8750,bicubic
adv_inception_v3,+76,4.7467,-72.833,95.2533,17.5467,-76.177,82.4533,23.8300,299,0.8750,bicubic
dla102x2,+11,4.7467,-74.705,95.2533,18.9600,-75.684,81.0400,41.7500,224,0.8750,bilinear
tf_inception_v3,+68,4.7467,-73.109,95.2533,17.7467,-75.897,82.2533,23.8300,299,0.8750,bicubic
hrnet_w48,+13,4.7200,-74.590,95.2800,18.4400,-76.078,81.5600,77.4700,224,0.8750,bilinear
dpn131,-4,4.6400,-75.188,95.3600,16.8667,-77.837,83.1333,79.2500,224,0.8750,bicubic
gluon_resnet152_v1b,=,4.5867,-75.105,95.4133,16.5333,-78.205,83.4667,60.1900,224,0.8750,bicubic
ecaresnet50d_pruned,-3,4.5467,-75.171,95.4533,18.5467,-76.343,81.4533,19.9400,224,0.8750,bicubic
dpn92,-14,4.4933,-75.523,95.5067,18.2000,-76.638,81.8000,37.6700,224,0.8750,bicubic
hrnet_w44,+25,4.4933,-74.401,95.5067,17.3467,-77.023,82.6533,67.0600,224,0.8750,bilinear
regnetx_160,-10,4.3733,-75.493,95.6267,17.0933,-77.735,82.9067,54.2800,224,0.8750,bicubic
resnext50d_32x4d,-4,4.3467,-75.327,95.6533,17.7733,-77.095,82.2267,25.0500,224,0.8750,bicubic
xception,+18,4.3467,-74.701,95.6533,16.7600,-77.632,83.2400,22.8600,299,0.8975,bicubic
seresnext50_32x4d,+14,4.2800,-74.796,95.7200,17.8133,-76.621,82.1867,27.5600,224,0.8750,bilinear
resnext50_32x4d,-11,4.2533,-75.509,95.7467,18.3867,-76.213,81.6133,25.0300,224,0.8750,bicubic
tf_efficientnet_cc_b1_8e,+4,4.2400,-75.058,95.7600,15.9467,-78.417,84.0533,39.7200,240,0.8820,bicubic
regnety_064,-11,4.2267,-75.485,95.7733,17.1867,-77.587,82.8133,30.5800,224,0.8750,bicubic
tf_efficientnet_el,-38,4.2267,-76.221,95.7733,18.1733,-76.987,81.8267,10.5900,300,0.9040,bicubic
inception_v3,+64,4.1867,-73.249,95.8133,16.2933,-77.183,83.7067,23.8300,299,0.8750,bicubic
tf_efficientnet_b2_ap,-34,4.1733,-76.133,95.8267,18.3200,-76.708,81.6800,9.1100,260,0.8900,bicubic
seresnet152,+24,4.1467,-74.511,95.8533,15.8933,-78.481,84.1067,66.8200,224,0.8750,bilinear
resnext101_32x8d,-5,4.1333,-75.179,95.8667,16.9867,-77.539,83.0133,88.7900,224,0.8750,bilinear
tf_efficientnet_b0_ns,+23,4.1333,-74.519,95.8667,17.6800,-76.688,82.3200,5.2900,224,0.8750,bicubic
dpn98,-15,4.0800,-75.556,95.9200,15.9467,-78.647,84.0533,61.5700,224,0.8750,bicubic
res2net101_26w_4s,+2,4.0000,-75.196,96.0000,14.8267,-79.613,85.1733,45.2100,224,0.8750,bilinear
efficientnet_b1,+17,3.9733,-74.725,96.0267,15.7600,-78.392,84.2400,7.7900,240,0.8750,bicubic
tf_efficientnet_lite3,-24,3.9333,-75.879,96.0667,16.5200,-78.394,83.4800,8.2000,300,0.9040,bilinear
tf_efficientnet_b2,-34,3.7733,-76.317,96.2267,16.6133,-78.293,83.3867,9.1100,260,0.8900,bicubic
regnety_040,-5,3.7467,-75.475,96.2533,16.4000,-78.256,83.6000,20.6500,224,0.8750,bicubic
hrnet_w30,+31,3.6800,-74.516,96.3200,15.5733,-78.647,84.4267,37.7100,224,0.8750,bilinear
hrnet_w32,+23,3.6533,-74.795,96.3467,14.7867,-79.401,85.2133,41.2300,224,0.8750,bilinear
hrnet_w40,+2,3.6533,-75.281,96.3467,15.4400,-79.026,84.5600,57.5600,224,0.8750,bilinear
regnetx_120,-22,3.6267,-75.963,96.3733,15.9733,-78.767,84.0267,46.1100,224,0.8750,bicubic
seresnext26t_32x4d,+34,3.6133,-74.375,96.3867,15.8933,-77.813,84.1067,16.8200,224,0.8750,bicubic
tf_efficientnet_b1_ap,-13,3.5467,-75.731,96.4533,15.0667,-79.241,84.9333,7.7900,240,0.8820,bicubic
seresnext26tn_32x4d,+31,3.5067,-74.483,96.4933,15.7600,-77.988,84.2400,16.8100,224,0.8750,bicubic
resnest26d,+13,3.4933,-74.989,96.5067,15.6667,-78.623,84.3333,17.0700,224,0.8750,bilinear
dla169,+4,3.4667,-75.243,96.5333,15.3333,-79.005,84.6667,53.9900,224,0.8750,bilinear
gluon_resnext50_32x4d,-24,3.4533,-75.903,96.5467,16.1200,-78.304,83.8800,25.0300,224,0.8750,bicubic
mixnet_l,-7,3.4400,-75.536,96.5600,15.3067,-78.877,84.6933,7.3300,224,0.8750,bicubic
seresnext26d_32x4d,+36,3.4000,-74.204,96.6000,16.1600,-77.452,83.8400,16.8100,224,0.8750,bicubic
res2net50_26w_8s,-17,3.3333,-75.877,96.6667,14.0400,-80.322,85.9600,48.4000,224,0.8750,bilinear
resnetblur50,-22,3.3333,-75.957,96.6667,15.5867,-79.045,84.4133,25.5600,224,0.8750,bicubic
dla102x,+4,3.3067,-75.201,96.6933,15.1200,-79.114,84.8800,26.7700,224,0.8750,bilinear
gluon_resnet101_v1c,-33,3.3067,-76.237,96.6933,14.1200,-80.466,85.8800,44.5700,224,0.8750,bicubic
seresnet101,+10,3.2533,-75.143,96.7467,15.4533,-78.805,84.5467,49.3300,224,0.8750,bilinear
densenetblur121d,+55,3.0667,-73.509,96.9333,14.2800,-78.910,85.7200,8.0000,224,0.8750,bicubic
dla60_res2next,+5,3.0400,-75.408,96.9600,14.4533,-79.691,85.5467,17.3300,224,0.8750,bilinear
regnety_032,-13,3.0267,-75.843,96.9733,14.2400,-80.162,85.7600,19.4400,224,0.8750,bicubic
gluon_resnet50_v1d,-21,3.0133,-76.061,96.9867,14.6267,-79.849,85.3733,25.5800,224,0.8750,bicubic
wide_resnet101_2,-14,2.9600,-75.886,97.0400,13.9467,-80.337,86.0533,126.8900,224,0.8750,bilinear
efficientnet_b1_pruned,+7,2.9333,-75.309,97.0667,14.4133,-79.419,85.5867,6.3300,240,0.8820,bicubic
gluon_resnet50_v1s,-12,2.9200,-75.792,97.0800,13.1200,-81.122,86.8800,25.6800,224,0.8750,bicubic
tf_efficientnet_b1,-16,2.8667,-75.965,97.1333,13.5067,-80.689,86.4933,7.7900,240,0.8820,bicubic
res2net50_26w_6s,-8,2.8400,-75.734,97.1600,12.6000,-81.526,87.4000,37.0500,224,0.8750,bilinear
efficientnet_b0,+18,2.8133,-74.879,97.1867,13.9067,-79.625,86.0933,5.2900,224,0.8750,bicubic
tf_mixnet_l,-17,2.8133,-75.957,97.1867,13.0400,-80.964,86.9600,7.3300,224,0.8750,bicubic
regnetx_064,-28,2.7867,-76.279,97.2133,13.8800,-80.576,86.1200,26.2100,224,0.8750,bicubic
dpn68b,+21,2.7067,-74.807,97.2933,12.6400,-81.182,87.3600,12.6100,224,0.8750,bicubic
selecsls60b,-5,2.6933,-75.725,97.3067,13.1733,-80.993,86.8267,32.7700,224,0.8750,bicubic
tf_efficientnet_cc_b0_8e,+10,2.6800,-75.228,97.3200,12.7733,-80.883,87.2267,24.0100,224,0.8750,bicubic
dla60_res2net,-11,2.6400,-75.832,97.3600,14.2000,-80.004,85.8000,21.1500,224,0.8750,bilinear
gluon_resnet101_v1b,-44,2.6267,-76.677,97.3733,13.5733,-80.951,86.4267,44.5500,224,0.8750,bicubic
dla60x,-6,2.6133,-75.629,97.3867,13.3333,-80.689,86.6667,17.6500,224,0.8750,bilinear
mixnet_m,+25,2.5467,-74.709,97.4533,12.4267,-80.991,87.5733,5.0100,224,0.8750,bicubic
skresnet34,+31,2.5200,-74.390,97.4800,12.7733,-80.543,87.2267,22.2800,224,0.8750,bicubic
efficientnet_es,-3,2.3733,-75.681,97.6267,13.8800,-80.050,86.1200,5.4400,224,0.8750,bicubic
resnet152,-11,2.3600,-75.952,97.6400,12.2000,-81.846,87.8000,60.1900,224,0.8750,bilinear
regnetx_080,-43,2.3467,-76.851,97.6533,12.6933,-81.865,87.3067,39.5700,224,0.8750,bicubic
swsl_resnet18,+64,2.3333,-70.953,97.6667,11.2133,-80.519,88.7867,11.6900,224,0.8750,bilinear
wide_resnet50_2,-19,2.3200,-76.148,97.6800,11.8000,-82.286,88.2000,68.8800,224,0.8750,bilinear
seresnext26_32x4d,+20,2.2933,-74.807,97.7067,12.4400,-80.870,87.5600,16.7900,224,0.8750,bicubic
hrnet_w18,+26,2.2667,-74.489,97.7333,11.8533,-81.589,88.1467,21.3000,224,0.8750,bilinear
dla102,-9,2.2533,-75.773,97.7467,12.1200,-81.830,87.8800,33.7300,224,0.8750,bilinear
resnet50,-43,2.2267,-76.805,97.7733,11.3333,-83.051,88.6667,25.5600,224,0.8750,bicubic
regnety_016,-3,2.1733,-75.679,97.8267,11.4400,-82.276,88.5600,11.2000,224,0.8750,bicubic
regnetx_040,-28,2.1600,-76.326,97.8400,11.8000,-82.442,88.2000,22.1200,224,0.8750,bicubic
resnest14d,+36,2.1467,-73.357,97.8533,10.4000,-82.114,89.6000,10.6100,224,0.8750,bilinear
selecsls60,-10,2.0800,-75.902,97.9200,12.8400,-80.992,87.1600,30.6700,224,0.8750,bicubic
tf_efficientnet_cc_b0_4e,+6,2.0800,-75.224,97.9200,10.9733,-82.359,89.0267,13.3100,224,0.8750,bicubic
res2next50,-21,2.0667,-76.175,97.9333,11.4533,-82.439,88.5467,24.6700,224,0.8750,bilinear
seresnet50,-7,2.0667,-75.569,97.9333,12.2667,-81.485,87.7333,28.0900,224,0.8750,bilinear
densenet161,+2,1.9733,-75.375,98.0267,10.5867,-83.061,89.4133,28.6800,224,0.8750,bicubic
tf_efficientnet_b0_ap,+9,1.9600,-75.124,98.0400,10.8000,-82.454,89.2000,5.2900,224,0.8750,bicubic
regnetx_032,-23,1.9200,-76.246,98.0800,10.9467,-83.133,89.0533,15.3000,224,0.8750,bicubic
tf_efficientnet_em,-42,1.8133,-76.885,98.1867,11.6267,-82.693,88.3733,6.9000,240,0.8820,bicubic
tf_mixnet_m,+8,1.8133,-75.137,98.1867,10.5467,-82.609,89.4533,5.0100,224,0.8750,bicubic
tf_efficientnet_lite2,-6,1.8000,-75.660,98.2000,11.1467,-82.599,88.8533,6.0900,260,0.8900,bicubic
res2net50_14w_8s,-26,1.7867,-76.365,98.2133,10.3467,-83.495,89.6533,25.0600,224,0.8750,bilinear
res2net50_26w_4s,-20,1.7733,-76.173,98.2267,10.4400,-83.412,89.5600,25.7000,224,0.8750,bilinear
mobilenetv3_large_100,+18,1.7600,-74.008,98.2400,10.2933,-82.247,89.7067,5.4800,224,0.8750,bicubic
densenet121,+20,1.7333,-73.841,98.2667,10.8533,-81.803,89.1467,7.9800,224,0.8750,bicubic
tf_efficientnet_b0,+5,1.6933,-75.147,98.3067,9.7333,-83.493,90.2667,5.2900,224,0.8750,bicubic
tv_resnext50_32x4d,-18,1.6800,-75.938,98.3200,10.6000,-83.098,89.4000,25.0300,224,0.8750,bilinear
mobilenetv3_rw,+16,1.6667,-73.961,98.3333,10.7333,-81.977,89.2667,5.4800,224,0.8750,bicubic
resnet101,-12,1.6667,-75.707,98.3333,9.8133,-83.733,90.1867,44.5500,224,0.8750,bilinear
mobilenetv2_120d,-10,1.6400,-75.654,98.3600,10.4533,-83.049,89.5467,5.8300,224,0.8750,bicubic
mixnet_s,+9,1.5867,-74.401,98.4133,10.2533,-82.541,89.7467,4.1300,224,0.8750,bicubic
densenet201,-11,1.5467,-75.743,98.4533,9.6267,-83.851,90.3733,20.0100,224,0.8750,bicubic
gluon_resnet50_v1c,-34,1.5467,-76.463,98.4533,10.6133,-83.375,89.3867,25.5800,224,0.8750,bicubic
semnasnet_100,+14,1.5467,-73.909,98.4533,9.3200,-83.272,90.6800,3.8900,224,0.8750,bicubic
selecsls42b,-11,1.4667,-75.709,98.5333,10.4400,-82.952,89.5600,32.4600,224,0.8750,bicubic
tf_efficientnet_lite1,-2,1.4533,-75.185,98.5467,9.7067,-83.525,90.2933,5.4200,240,0.8820,bicubic
regnety_008,=,1.4267,-74.887,98.5733,8.9467,-84.115,91.0533,6.2600,224,0.8750,bicubic
ssl_resnet18,+32,1.3867,-71.213,98.6133,8.1600,-83.256,91.8400,11.6900,224,0.8750,bilinear
dla60,-12,1.3467,-75.677,98.6533,9.4667,-83.841,90.5333,22.3300,224,0.8750,bilinear
dpn68,-2,1.3467,-74.959,98.6533,8.8133,-84.157,91.1867,12.6100,224,0.8750,bicubic
res2net50_48w_2s,-27,1.3067,-76.207,98.6933,8.9200,-84.628,91.0800,25.2900,224,0.8750,bilinear
tf_mixnet_s,+1,1.2800,-74.368,98.7200,8.7467,-83.889,91.2533,4.1300,224,0.8750,bicubic
mobilenetv2_140,-7,1.2533,-75.271,98.7467,9.1067,-83.883,90.8933,6.1100,224,0.8750,bicubic
fbnetc_100,+8,1.2267,-73.893,98.7733,8.7467,-83.639,91.2533,5.5700,224,0.8750,bilinear
resnet26d,-12,1.2267,-75.453,98.7733,9.2800,-83.886,90.7200,16.0100,224,0.8750,bicubic
densenet169,-5,1.1867,-74.725,98.8133,8.3200,-84.704,91.6800,14.1500,224,0.8750,bicubic
tf_mobilenetv3_large_100,-1,1.1867,-74.329,98.8133,7.9467,-84.653,92.0533,5.4800,224,0.8750,bilinear
gluon_resnet50_v1b,-36,1.1600,-76.418,98.8400,9.0267,-84.691,90.9733,25.5600,224,0.8750,bicubic
seresnet34,+8,1.1200,-73.688,98.8800,7.4000,-84.726,92.6000,21.9600,224,0.8750,bilinear
tf_efficientnet_es,-28,1.1200,-76.144,98.8800,8.6000,-85.000,91.4000,5.4400,224,0.8750,bicubic
spnasnet_100,+11,1.1067,-72.973,98.8933,8.2533,-83.579,91.7467,4.4200,224,0.8750,bilinear
tf_efficientnet_lite0,+4,1.1067,-73.735,98.8933,7.4933,-84.677,92.5067,4.6500,224,0.8750,bicubic
regnetx_016,-24,1.0933,-75.837,98.9067,8.6267,-84.791,91.3733,9.1900,224,0.8750,bicubic
dla34,+6,1.0800,-73.556,98.9200,7.6933,-84.371,92.3067,15.7800,224,0.8750,bilinear
regnety_006,-5,1.0533,-74.207,98.9467,8.4000,-84.128,91.6000,6.0600,224,0.8750,bicubic
regnety_004,+7,1.0133,-73.013,98.9867,7.3333,-84.415,92.6667,4.3400,224,0.8750,bicubic
resnet34,-4,0.9867,-74.125,99.0133,7.5333,-84.755,92.4667,21.8000,224,0.8750,bilinear
mobilenetv2_110d,-4,0.9333,-74.119,99.0667,8.1067,-84.073,91.8933,4.5200,224,0.8750,bicubic
gluon_resnet34_v1b,+2,0.8933,-73.687,99.1067,6.6000,-85.388,93.4000,21.8000,224,0.8750,bicubic
hrnet_w18_small_v2,-9,0.8933,-74.233,99.1067,7.3867,-85.029,92.6133,15.6000,224,0.8750,bilinear
regnetx_008,-6,0.8933,-74.129,99.1067,6.9067,-85.437,93.0933,7.2600,224,0.8750,bicubic
skresnet18,+6,0.8800,-72.164,99.1200,7.3867,-83.791,92.6133,11.9600,224,0.8750,bicubic
mnasnet_100,-4,0.8667,-73.789,99.1333,7.8667,-84.259,92.1333,4.3800,224,0.8750,bicubic
tf_mobilenetv3_large_075,+1,0.8667,-72.575,99.1333,6.7200,-84.632,93.2800,3.9900,224,0.8750,bilinear
regnetx_006,-1,0.7600,-73.102,99.2400,6.4933,-85.187,93.5067,6.2000,224,0.8750,bicubic
tf_mobilenetv3_small_100,+13,0.7467,-67.171,99.2533,4.6667,-82.995,95.3333,2.5400,224,0.8750,bilinear
seresnet18,+7,0.7200,-71.038,99.2800,6.0267,-84.307,93.9733,11.7800,224,0.8750,bicubic
regnetx_004,+3,0.6933,-71.713,99.3067,5.5067,-85.323,94.4933,5.1600,224,0.8750,bicubic
tv_densenet121,-11,0.6800,-74.072,99.3200,6.9067,-85.245,93.0933,7.9800,224,0.8750,bicubic
regnety_002,+6,0.6667,-69.615,99.3333,5.5333,-84.007,94.4667,3.1600,224,0.8750,bicubic
tf_mobilenetv3_small_075,+11,0.6267,-65.091,99.3733,4.1733,-81.963,95.8267,2.0400,224,0.8750,bilinear
resnet26,-23,0.6000,-74.692,99.4000,6.8800,-85.690,93.1200,16.0000,224,0.8750,bicubic
tv_resnet34,-7,0.6000,-72.714,99.4000,5.5200,-85.900,94.4800,21.8000,224,0.8750,bilinear
mobilenetv2_100,-5,0.5333,-72.445,99.4667,6.1867,-84.829,93.8133,3.5000,224,0.8750,bicubic
dla46_c,+8,0.5200,-64.358,99.4800,4.1867,-82.099,95.8133,1.3100,224,0.8750,bilinear
tf_mobilenetv3_large_minimal_100,-3,0.4800,-71.764,99.5200,4.8800,-85.756,95.1200,3.9200,224,0.8750,bilinear
dla60x_c,+3,0.4667,-67.441,99.5333,5.2133,-83.221,94.7867,1.3400,224,0.8750,bilinear
hrnet_w18_small,-6,0.4533,-71.889,99.5467,4.8400,-85.832,95.1600,13.1900,224,0.8750,bilinear
dla46x_c,+2,0.4133,-65.567,99.5867,4.4400,-82.540,95.5600,1.0800,224,0.8750,bilinear
gluon_resnet18_v1b,-5,0.3867,-70.443,99.6133,4.7867,-84.969,95.2133,11.6900,224,0.8750,bicubic
tf_mobilenetv3_small_minimal_100,+3,0.3600,-62.538,99.6400,2.8667,-81.363,97.1333,2.0400,224,0.8750,bilinear
resnet18,-5,0.2933,-69.465,99.7067,4.0400,-85.038,95.9600,11.6900,224,0.8750,bilinear
regnetx_002,-5,0.2267,-68.527,99.7733,3.9867,-84.561,96.0133,2.6800,224,0.8750,bicubic
tv_resnet50,-45,0.0000,-76.130,100.0000,2.8933,-89.969,97.1067,25.5600,224,0.8750,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 62.3867 -25.847 37.6133 87.1067 -11.439 12.8933 480.31 480.3100 475 0.936 0.9360 bicubic
3 tf_efficientnet_l2_ns -1 62.0267 -26.325 37.9733 87.96 87.9600 -10.688 12.04 12.0400 480.31 480.3100 800 0.96 0.9600 bicubic
4 tf_efficientnet_b7_ns = 45.72 45.7200 -41.118 54.28 54.2800 74.2 74.2000 -23.894 25.8 25.8000 66.35 66.3500 600 0.949 0.9490 bicubic
5 ig_resnext101_32x48d +2 41.5733 -43.869 58.4267 66.6133 -30.959 33.3867 828.41 828.4100 224 0.875 0.8750 bilinear
6 tf_efficientnet_b6_ns -1 40.4267 -46.035 59.5733 68.84 68.8400 -29.044 31.16 31.1600 43.04 43.0400 528 0.942 0.9420 bicubic
7 ig_resnext101_32x32d +5 39.4133 -45.679 60.5867 63.76 63.7600 -33.676 36.24 36.2400 468.53 468.5300 224 0.875 0.8750 bilinear
8 tf_efficientnet_b5_ns -2 39.0133 -47.067 60.9867 68.04 68.0400 -29.714 31.96 31.9600 30.39 30.3900 456 0.934 0.9340 bicubic
9 ig_resnext101_32x16d +9 36.0533 -48.123 63.9467 59.04 59.0400 -38.156 40.96 40.9600 194.03 194.0300 224 0.875 0.8750 bilinear
10 swsl_resnext101_32x8d +5 32.0667 -52.227 67.9333 59.4 59.4000 -37.774 40.6 40.6000 88.79 88.7900 224 0.875 0.8750 bilinear
11 tf_efficientnet_b4_ns -1 30.8 30.8000 -54.358 69.2 69.2000 59.44 59.4400 -38.028 40.56 40.5600 19.34 19.3400 380 0.922 0.9220 bicubic
12 tf_efficientnet_b8_ap -3 29.6 29.6000 -55.768 70.4 70.4000 56.9333 -40.361 43.0667 87.41 87.4100 672 0.954 0.9540 bicubic
13 tf_efficientnet_b8 -5 29.3733 -55.997 70.6267 57.0667 -40.325 42.9333 87.41 87.4100 672 0.954 0.9540 bicubic
14 ig_resnext101_32x8d +16 28.7067 -53.981 71.2933 52.32 52.3200 -44.312 47.68 47.6800 88.79 88.7900 224 0.875 0.8750 bilinear
15 swsl_resnext101_32x16d +8 27.9467 -55.391 72.0533 52.32 52.3200 -44.532 47.68 47.6800 194.03 194.0300 224 0.875 0.8750 bilinear
16 tf_efficientnet_b7_ap -5 27.8133 -57.305 72.1867 54.7733 -42.479 45.2267 66.35 66.3500 600 0.949 0.9490 bicubic
17 resnest269e = 27.6133 -56.573 72.3867 53.1067 -43.815 46.8933 110.93 110.9300 416 0.875 0.8750 bilinear
18 tresnet_xl_448 +8 26.88 26.8800 -56.168 73.12 73.1200 51.0933 -45.081 48.9067 78.44 78.4400 448 0.875 0.8750 bilinear
19 resnest200e +2 26.4267 -57.407 73.5733 51.9333 -44.905 48.0667 70.2 70.2000 320 0.875 0.8750 bilinear
20 swsl_resnext101_32x4d +5 25.3467 -57.887 74.6533 49.6267 -47.129 50.3733 44.18 44.1800 224 0.875 0.8750 bilinear
21 tf_efficientnet_b7 -8 25.2533 -59.679 74.7467 51.6667 -45.541 48.3333 66.35 66.3500 600 0.949 0.9490 bicubic
22 tresnet_l_448 +11 24.5733 -57.695 75.4267 48.6 48.6000 -47.378 51.4 51.4000 55.99 55.9900 448 0.875 0.8750 bilinear
23 tf_efficientnet_b6_ap -9 24.3467 -60.439 75.6533 50.4267 -46.711 49.5733 43.04 43.0400 528 0.942 0.9420 bicubic
24 tf_efficientnet_b6 -5 20.3733 -63.739 79.6267 45.4933 -51.391 54.5067 43.04 43.0400 528 0.942 0.9420 bicubic
25 tresnet_m_448 +15 19.68 19.6800 -62.032 80.32 80.3200 42.76 42.7600 -52.810 57.24 57.2400 31.39 31.3900 448 0.875 0.8750 bilinear
26 tf_efficientnet_b5_ap -10 19.4667 -64.787 80.5333 44.72 44.7200 -52.256 55.28 55.2800 30.39 30.3900 456 0.934 0.9340 bicubic
27 tf_efficientnet_b3_ns -7 19.4133 -64.641 80.5867 44.6267 -52.285 55.3733 12.23 12.2300 300 0.904 0.9040 bicubic
28 swsl_resnext50_32x4d +6 18.0667 -64.113 81.9333 41.8667 -54.361 58.1333 25.03 25.0300 224 0.875 0.8750 bilinear
29 ssl_resnext101_32x16d +9 17.2133 -64.623 82.7867 39.9467 -56.147 60.0533 194.03 194.0300 224 0.875 0.8750 bilinear
30 tf_efficientnet_b5 -8 17.0667 -66.749 82.9333 41.9067 -54.843 58.0933 30.39 30.3900 456 0.934 0.9340 bicubic
31 resnest101e -3 16.4933 -66.397 83.5067 40.7467 -55.577 59.2533 48.28 48.2800 256 0.875 0.8750 bilinear
32 swsl_resnet50 +17 15.9867 -65.193 84.0133 38.8533 -57.133 61.1467 25.56 25.5600 224 0.875 0.8750 bilinear
33 ssl_resnext101_32x8d +9 15.12 15.1200 -66.506 84.88 84.8800 37.72 37.7200 -58.318 62.28 62.2800 88.79 88.7900 224 0.875 0.8750 bilinear
34 tf_efficientnet_b4_ap -10 13.68 13.6800 -69.568 86.32 86.3200 35.92 35.9200 -60.468 64.08 64.0800 19.34 19.3400 380 0.922 0.9220 bicubic
35 ecaresnet101d = 13.3067 -68.859 86.6933 35.5333 -60.519 64.4667 44.57 44.5700 224 0.875 0.8750 bicubic
36 tf_efficientnet_b4 -9 13.3067 -69.709 86.6933 35.52 35.5200 -60.778 64.48 64.4800 19.34 19.3400 380 0.922 0.9220 bicubic
37 pnasnet5large -8 13.08 13.0800 -69.660 86.92 86.9200 32.2133 -63.827 67.7867 86.06 86.0600 331 0.875 0.8750 bicubic
38 nasnetalarge -7 12.5733 -69.985 87.4267 33.4133 -62.623 66.5867 88.75 88.7500 331 0.875 0.8750 bicubic
39 ssl_resnext101_32x4d +15 12.12 12.1200 -68.808 87.88 87.8800 31.8933 -63.835 68.1067 44.18 44.1800 224 0.875 0.8750 bilinear
40 tf_efficientnet_b2_ns -8 11.7867 -70.593 88.2133 32.96 32.9600 -63.292 67.04 67.0400 9.11 9.1100 260 0.89 0.8900 bicubic
41 gluon_senet154 +7 9.9067 -71.317 90.0933 26.4533 -68.903 73.5467 115.09 115.0900 224 0.875 0.8750 bicubic
42 resnest50d_4s2x40d +8 9.7867 -71.327 90.2133 29.1467 -66.421 70.8533 30.42 30.4200 224 0.875 0.8750 bicubic
43 ssl_resnext50_32x4d +30 9.6667 -70.661 90.3333 28.4267 -66.977 71.5733 25.03 25.0300 224 0.875 0.8750 bilinear
44 senet154 +3 9.4533 -71.851 90.5467 26.44 26.4400 -69.058 73.56 73.5600 115.09 115.0900 224 0.875 0.8750 bilinear
45 tresnet_xl -9 9.3067 -72.763 90.6933 28.4133 -67.515 71.5867 78.44 78.4400 224 0.875 0.8750 bilinear
46 efficientnet_b3a -9 9.2667 -72.607 90.7333 28.4267 -67.413 71.5733 12.23 12.2300 320 1.0 1.0000 bicubic
47 efficientnet_b3 -3 8.9467 -72.551 91.0533 28.2133 -67.505 71.7867 12.23 12.2300 300 0.904 0.9040 bicubic
48 inception_v4 +32 8.92 8.9200 -71.236 91.08 91.0800 24.7067 -70.267 75.2933 42.68 42.6800 299 0.875 0.8750 bicubic
49 gluon_seresnext101_64x4d +7 8.8667 -72.023 91.1333 27.32 27.3200 -67.984 72.68 72.6800 88.23 88.2300 224 0.875 0.8750 bicubic
50 tf_efficientnet_b1_ns -4 8.6133 -72.773 91.3867 27.28 27.2800 -68.458 72.72 72.7200 7.79 7.7900 240 0.882 0.8820 bicubic
51 resnest50d_1s4x24d +1 8.52 8.5200 -72.470 91.48 91.4800 26.7867 -68.535 73.2133 25.68 25.6800 224 0.875 0.8750 bicubic
52 ecaresnet50d +10 8.5067 -72.097 91.4933 26.2667 -69.055 73.7333 25.58 25.5800 224 0.875 0.8750 bicubic
53 gluon_xception65 +45 8.4667 -71.137 91.5333 25.1333 -69.615 74.8667 39.92 39.9200 299 0.875 0.8750 bicubic
54 gluon_resnet152_v1d +11 8.4133 -72.057 91.5867 23.4533 -71.753 76.5467 60.21 60.2100 224 0.875 0.8750 bicubic
55 inception_resnet_v2 +11 8.16 8.1600 -72.300 91.84 91.8400 23.5333 -71.777 76.4667 55.84 55.8400 299 0.8975 bicubic
56 tf_efficientnet_b3_ap -17 8.1333 -73.695 91.8667 26.28 26.2800 -69.344 73.72 73.7200 12.23 12.2300 300 0.904 0.9040 bicubic
57 gluon_seresnext101_32x4d -2 8.04 8.0400 -72.862 91.96 91.9600 24.7333 -70.561 75.2667 48.96 48.9600 224 0.875 0.8750 bicubic
58 tf_efficientnet_b3 -17 8.0133 -73.627 91.9867 25.4667 -70.255 74.5333 12.23 12.2300 300 0.904 0.9040 bicubic
59 ens_adv_inception_resnet_v2 +25 7.9867 -71.989 92.0133 23.8267 -71.119 76.1733 55.84 55.8400 299 0.8975 bicubic
60 tf_efficientnet_lite4 -17 7.9333 -73.595 92.0667 25.56 25.5600 -70.108 74.44 74.4400 13.01 13.0100 380 0.92 0.9200 bilinear
61 tresnet_l -16 7.88 7.8800 -73.608 92.12 92.1200 25.1867 -70.441 74.8133 55.99 55.9900 224 0.875 0.8750 bilinear
62 gluon_resnet152_v1s -11 7.8667 -73.145 92.1333 23.1733 -72.243 76.8267 60.32 60.3200 224 0.875 0.8750 bicubic
63 resnest50d -10 7.7467 -73.211 92.2533 25.2933 -70.089 74.7067 27.48 27.4800 224 0.875 0.8750 bilinear
64 gluon_resnext101_64x4d -1 7.7067 -72.895 92.2933 23.24 23.2400 -71.754 76.76 76.7600 83.46 83.4600 224 0.875 0.8750 bicubic
65 skresnext50_32x4d +16 7.08 7.0800 -73.070 92.92 92.9200 23.0267 -71.617 76.9733 27.48 27.4800 224 0.875 0.8750 bicubic
66 ssl_resnet50 +45 7.0 7.0000 -72.228 93.0 93.0000 23.92 23.9200 -70.912 76.08 76.0800 25.56 25.5600 224 0.875 0.8750 bilinear
67 regnety_320 -9 6.92 6.9200 -73.894 93.08 93.0800 23.04 23.0400 -72.200 76.96 76.9600 145.05 145.0500 224 0.875 0.8750 bicubic
68 ecaresnet101d_pruned -9 6.8 6.8000 -74.008 93.2 93.2000 24.2 24.2000 -71.428 75.8 75.8000 24.88 24.8800 224 0.875 0.8750 bicubic
69 ecaresnetlight -2 6.76 6.7600 -73.694 93.24 93.2400 22.56 22.5600 -72.696 77.44 77.4400 30.16 30.1600 224 0.875 0.8750 bicubic
70 efficientnet_b2a -9 6.76 6.7600 -73.848 93.24 93.2400 23.4933 -71.817 76.5067 9.11 9.1100 288 1.0 1.0000 bicubic
71 seresnext101_32x4d +7 6.4133 -73.823 93.5867 21.52 21.5200 -73.508 78.48 78.4800 48.96 48.9600 224 0.875 0.8750 bilinear
72 efficientnet_b2 -2 6.0933 -74.309 93.9067 21.9333 -73.143 78.0667 9.11 9.1100 260 0.875 0.8750 bicubic
73 gluon_resnext101_32x4d -1 6.04 6.0400 -74.294 93.96 93.9600 21.1333 -73.793 78.8667 44.18 44.1800 224 0.875 0.8750 bicubic
74 regnetx_320 +3 5.9867 -74.259 94.0133 19.88 19.8800 -75.142 80.12 80.1200 107.81 107.8100 224 0.875 0.8750 bicubic
75 ese_vovnet39b +29 5.9733 -73.347 94.0267 21.2933 -73.417 78.7067 24.57 24.5700 224 0.875 0.8750 bicubic
76 gluon_resnet101_v1d -7 5.92 5.9200 -74.504 94.08 94.0800 19.9467 -75.073 80.0533 44.57 44.5700 224 0.875 0.8750 bicubic
77 gluon_seresnext50_32x4d +10 5.7867 -74.125 94.2133 21.4267 -73.391 78.5733 27.56 27.5600 224 0.875 0.8750 bicubic
78 efficientnet_b3_pruned -21 5.7333 -75.123 94.2667 21.36 21.3600 -73.880 78.64 78.6400 9.86 9.8600 300 0.904 0.9040 bicubic
79 regnety_160 -3 5.64 5.6400 -74.660 94.36 94.3600 19.3467 -75.615 80.6533 83.59 83.5900 224 0.875 0.8750 bicubic
80 gluon_inception_v3 +47 5.5067 -73.297 94.4933 19.9467 -74.433 80.0533 23.83 23.8300 299 0.875 0.8750 bicubic
81 mixnet_xl -17 5.48 5.4800 -74.998 94.52 94.5200 21.0933 -73.839 78.9067 11.9 11.9000 224 0.875 0.8750 bicubic
82 tresnet_m -22 5.44 5.4400 -75.356 94.56 94.5600 19.96 19.9600 -74.896 80.04 80.0400 31.39 31.3900 224 0.875 0.8750 bilinear
83 regnety_120 -12 5.4133 -74.969 94.5867 19.8533 -75.275 80.1467 51.82 51.8200 224 0.875 0.8750 bicubic
84 gluon_resnet101_v1s -9 5.28 5.2800 -75.020 94.72 94.7200 19.5467 -75.603 80.4533 44.67 44.6700 224 0.875 0.8750 bicubic
85 hrnet_w64 +16 5.1333 -74.339 94.8667 19.4533 -75.197 80.5467 128.06 128.0600 224 0.875 0.8750 bilinear
86 regnety_080 +2 5.0 5.0000 -74.868 95.0 95.0000 18.6 18.6000 -76.232 81.4 81.4000 39.18 39.1800 224 0.875 0.8750 bicubic
87 efficientnet_b2_pruned -2 4.9467 -74.971 95.0533 19.3467 -75.501 80.6533 8.31 8.3100 260 0.89 0.8900 bicubic
88 dpn107 -9 4.88 4.8800 -75.284 95.12 95.1200 17.6133 -77.299 82.3867 86.92 86.9200 224 0.875 0.8750 bicubic
89 gluon_resnet152_v1c -3 4.8667 -75.049 95.1333 17.7733 -77.069 82.2267 60.21 60.2100 224 0.875 0.8750 bicubic
90 adv_inception_v3 +76 4.7467 -72.833 95.2533 17.5467 -76.177 82.4533 23.83 23.8300 299 0.875 0.8750 bicubic
91 dla102x2 +11 4.7467 -74.705 95.2533 18.96 18.9600 -75.684 81.04 81.0400 41.75 41.7500 224 0.875 0.8750 bilinear
92 tf_inception_v3 +68 4.7467 -73.109 95.2533 17.7467 -75.897 82.2533 23.83 23.8300 299 0.875 0.8750 bicubic
93 hrnet_w48 +13 4.72 4.7200 -74.590 95.28 95.2800 18.44 18.4400 -76.078 81.56 81.5600 77.47 77.4700 224 0.875 0.8750 bilinear
94 dpn131 -4 4.64 4.6400 -75.188 95.36 95.3600 16.8667 -77.837 83.1333 79.25 79.2500 224 0.875 0.8750 bicubic
95 gluon_resnet152_v1b = 4.5867 -75.105 95.4133 16.5333 -78.205 83.4667 60.19 60.1900 224 0.875 0.8750 bicubic
96 ecaresnet50d_pruned -3 4.5467 -75.171 95.4533 18.5467 -76.343 81.4533 19.94 19.9400 224 0.875 0.8750 bicubic
97 dpn92 -14 4.4933 -75.523 95.5067 18.2 18.2000 -76.638 81.8 81.8000 37.67 37.6700 224 0.875 0.8750 bicubic
98 hrnet_w44 +25 4.4933 -74.401 95.5067 17.3467 -77.023 82.6533 67.06 67.0600 224 0.875 0.8750 bilinear
99 regnetx_160 -10 4.3733 -75.493 95.6267 17.0933 -77.735 82.9067 54.28 54.2800 224 0.875 0.8750 bicubic
100 resnext50d_32x4d -4 4.3467 -75.327 95.6533 17.7733 -77.095 82.2267 25.05 25.0500 224 0.875 0.8750 bicubic
101 xception +18 4.3467 -74.701 95.6533 16.76 16.7600 -77.632 83.24 83.2400 22.86 22.8600 299 0.8975 bicubic
102 seresnext50_32x4d +14 4.28 4.2800 -74.796 95.72 95.7200 17.8133 -76.621 82.1867 27.56 27.5600 224 0.875 0.8750 bilinear
103 resnext50_32x4d -11 4.2533 -75.509 95.7467 18.3867 -76.213 81.6133 25.03 25.0300 224 0.875 0.8750 bicubic
104 tf_efficientnet_cc_b1_8e +4 4.24 4.2400 -75.058 95.76 95.7600 15.9467 -78.417 84.0533 39.72 39.7200 240 0.882 0.8820 bicubic
105 regnety_064 -11 4.2267 -75.485 95.7733 17.1867 -77.587 82.8133 30.58 30.5800 224 0.875 0.8750 bicubic
106 tf_efficientnet_el -38 4.2267 -76.221 95.7733 18.1733 -76.987 81.8267 10.59 10.5900 300 0.904 0.9040 bicubic
107 inception_v3 +64 4.1867 -73.249 95.8133 16.2933 -77.183 83.7067 23.83 23.8300 299 0.875 0.8750 bicubic
108 tf_efficientnet_b2_ap -34 4.1733 -76.133 95.8267 18.32 18.3200 -76.708 81.68 81.6800 9.11 9.1100 260 0.89 0.8900 bicubic
109 seresnet152 +24 4.1467 -74.511 95.8533 15.8933 -78.481 84.1067 66.82 66.8200 224 0.875 0.8750 bilinear
110 resnext101_32x8d -5 4.1333 -75.179 95.8667 16.9867 -77.539 83.0133 88.79 88.7900 224 0.875 0.8750 bilinear
111 tf_efficientnet_b0_ns +23 4.1333 -74.519 95.8667 17.68 17.6800 -76.688 82.32 82.3200 5.29 5.2900 224 0.875 0.8750 bicubic
112 dpn98 -15 4.08 4.0800 -75.556 95.92 95.9200 15.9467 -78.647 84.0533 61.57 61.5700 224 0.875 0.8750 bicubic
113 res2net101_26w_4s +2 4.0 4.0000 -75.196 96.0 96.0000 14.8267 -79.613 85.1733 45.21 45.2100 224 0.875 0.8750 bilinear
114 efficientnet_b1 +17 3.9733 -74.725 96.0267 15.76 15.7600 -78.392 84.24 84.2400 7.79 7.7900 240 0.875 0.8750 bicubic
115 tf_efficientnet_lite3 -24 3.9333 -75.879 96.0667 16.52 16.5200 -78.394 83.48 83.4800 8.2 8.2000 300 0.904 0.9040 bilinear
116 tf_efficientnet_b2 -34 3.7733 -76.317 96.2267 16.6133 -78.293 83.3867 9.11 9.1100 260 0.89 0.8900 bicubic
117 regnety_040 -5 3.7467 -75.475 96.2533 16.4 16.4000 -78.256 83.6 83.6000 20.65 20.6500 224 0.875 0.8750 bicubic
118 hrnet_w30 +31 3.68 3.6800 -74.516 96.32 96.3200 15.5733 -78.647 84.4267 37.71 37.7100 224 0.875 0.8750 bilinear
119 hrnet_w32 +23 3.6533 -74.795 96.3467 14.7867 -79.401 85.2133 41.23 41.2300 224 0.875 0.8750 bilinear
120 hrnet_w40 +2 3.6533 -75.281 96.3467 15.44 15.4400 -79.026 84.56 84.5600 57.56 57.5600 224 0.875 0.8750 bilinear
121 regnetx_120 -22 3.6267 -75.963 96.3733 15.9733 -78.767 84.0267 46.11 46.1100 224 0.875 0.8750 bicubic
122 seresnext26t_32x4d +34 3.6133 -74.375 96.3867 15.8933 -77.813 84.1067 16.82 16.8200 224 0.875 0.8750 bicubic
123 tf_efficientnet_b1_ap -13 3.5467 -75.731 96.4533 15.0667 -79.241 84.9333 7.79 7.7900 240 0.882 0.8820 bicubic
124 seresnext26tn_32x4d +31 3.5067 -74.483 96.4933 15.76 15.7600 -77.988 84.24 84.2400 16.81 16.8100 224 0.875 0.8750 bicubic
125 resnest26d +13 3.4933 -74.989 96.5067 15.6667 -78.623 84.3333 17.07 17.0700 224 0.875 0.8750 bilinear
126 dla169 +4 3.4667 -75.243 96.5333 15.3333 -79.005 84.6667 53.99 53.9900 224 0.875 0.8750 bilinear
127 gluon_resnext50_32x4d -24 3.4533 -75.903 96.5467 16.12 16.1200 -78.304 83.88 83.8800 25.03 25.0300 224 0.875 0.8750 bicubic
128 mixnet_l -7 3.44 3.4400 -75.536 96.56 96.5600 15.3067 -78.877 84.6933 7.33 7.3300 224 0.875 0.8750 bicubic
129 seresnext26d_32x4d +36 3.4 3.4000 -74.204 96.6 96.6000 16.16 16.1600 -77.452 83.84 83.8400 16.81 16.8100 224 0.875 0.8750 bicubic
130 res2net50_26w_8s -17 3.3333 -75.877 96.6667 14.04 14.0400 -80.322 85.96 85.9600 48.4 48.4000 224 0.875 0.8750 bilinear
131 resnetblur50 -22 3.3333 -75.957 96.6667 15.5867 -79.045 84.4133 25.56 25.5600 224 0.875 0.8750 bicubic
132 dla102x +4 3.3067 -75.201 96.6933 15.12 15.1200 -79.114 84.88 84.8800 26.77 26.7700 224 0.875 0.8750 bilinear
133 gluon_resnet101_v1c -33 3.3067 -76.237 96.6933 14.12 14.1200 -80.466 85.88 85.8800 44.57 44.5700 224 0.875 0.8750 bicubic
134 seresnet101 +10 3.2533 -75.143 96.7467 15.4533 -78.805 84.5467 49.33 49.3300 224 0.875 0.8750 bilinear
135 densenetblur121d +55 3.0667 -73.509 96.9333 14.28 14.2800 -78.910 85.72 85.7200 8.0 8.0000 224 0.875 0.8750 bicubic
136 dla60_res2next +5 3.04 3.0400 -75.408 96.96 96.9600 14.4533 -79.691 85.5467 17.33 17.3300 224 0.875 0.8750 bilinear
137 regnety_032 -13 3.0267 -75.843 96.9733 14.24 14.2400 -80.162 85.76 85.7600 19.44 19.4400 224 0.875 0.8750 bicubic
138 gluon_resnet50_v1d -21 3.0133 -76.061 96.9867 14.6267 -79.849 85.3733 25.58 25.5800 224 0.875 0.8750 bicubic
139 wide_resnet101_2 -14 2.96 2.9600 -75.886 97.04 97.0400 13.9467 -80.337 86.0533 126.89 126.8900 224 0.875 0.8750 bilinear
140 efficientnet_b1_pruned +7 2.9333 -75.309 97.0667 14.4133 -79.419 85.5867 6.33 6.3300 240 0.882 0.8820 bicubic
141 gluon_resnet50_v1s -12 2.92 2.9200 -75.792 97.08 97.0800 13.12 13.1200 -81.122 86.88 86.8800 25.68 25.6800 224 0.875 0.8750 bicubic
142 tf_efficientnet_b1 -16 2.8667 -75.965 97.1333 13.5067 -80.689 86.4933 7.79 7.7900 240 0.882 0.8820 bicubic
143 res2net50_26w_6s -8 2.84 2.8400 -75.734 97.16 97.1600 12.6 12.6000 -81.526 87.4 87.4000 37.05 37.0500 224 0.875 0.8750 bilinear
144 efficientnet_b0 +18 2.8133 -74.879 97.1867 13.9067 -79.625 86.0933 5.29 5.2900 224 0.875 0.8750 bicubic
145 tf_mixnet_l -17 2.8133 -75.957 97.1867 13.04 13.0400 -80.964 86.96 86.9600 7.33 7.3300 224 0.875 0.8750 bicubic
146 regnetx_064 -28 2.7867 -76.279 97.2133 13.88 13.8800 -80.576 86.12 86.1200 26.21 26.2100 224 0.875 0.8750 bicubic
147 dpn68b +21 2.7067 -74.807 97.2933 12.64 12.6400 -81.182 87.36 87.3600 12.61 12.6100 224 0.875 0.8750 bicubic
148 selecsls60b -5 2.6933 -75.725 97.3067 13.1733 -80.993 86.8267 32.77 32.7700 224 0.875 0.8750 bicubic
149 tf_efficientnet_cc_b0_8e +10 2.68 2.6800 -75.228 97.32 97.3200 12.7733 -80.883 87.2267 24.01 24.0100 224 0.875 0.8750 bicubic
150 dla60_res2net -11 2.64 2.6400 -75.832 97.36 97.3600 14.2 14.2000 -80.004 85.8 85.8000 21.15 21.1500 224 0.875 0.8750 bilinear
151 gluon_resnet101_v1b -44 2.6267 -76.677 97.3733 13.5733 -80.951 86.4267 44.55 44.5500 224 0.875 0.8750 bicubic
152 dla60x -6 2.6133 -75.629 97.3867 13.3333 -80.689 86.6667 17.65 17.6500 224 0.875 0.8750 bilinear
153 mixnet_m +25 2.5467 -74.709 97.4533 12.4267 -80.991 87.5733 5.01 5.0100 224 0.875 0.8750 bicubic
154 skresnet34 +31 2.52 2.5200 -74.390 97.48 97.4800 12.7733 -80.543 87.2267 22.28 22.2800 224 0.875 0.8750 bicubic
155 efficientnet_es -3 2.3733 -75.681 97.6267 13.88 13.8800 -80.050 86.12 86.1200 5.44 5.4400 224 0.875 0.8750 bicubic
156 resnet152 -11 2.36 2.3600 -75.952 97.64 97.6400 12.2 12.2000 -81.846 87.8 87.8000 60.19 60.1900 224 0.875 0.8750 bilinear
157 regnetx_080 -43 2.3467 -76.851 97.6533 12.6933 -81.865 87.3067 39.57 39.5700 224 0.875 0.8750 bicubic
158 swsl_resnet18 +64 2.3333 -70.953 97.6667 11.2133 -80.519 88.7867 11.69 11.6900 224 0.875 0.8750 bilinear
159 wide_resnet50_2 -19 2.32 2.3200 -76.148 97.68 97.6800 11.8 11.8000 -82.286 88.2 88.2000 68.88 68.8800 224 0.875 0.8750 bilinear
160 seresnext26_32x4d +20 2.2933 -74.807 97.7067 12.44 12.4400 -80.870 87.56 87.5600 16.79 16.7900 224 0.875 0.8750 bicubic
161 hrnet_w18 +26 2.2667 -74.489 97.7333 11.8533 -81.589 88.1467 21.3 21.3000 224 0.875 0.8750 bilinear
162 dla102 -9 2.2533 -75.773 97.7467 12.12 12.1200 -81.830 87.88 87.8800 33.73 33.7300 224 0.875 0.8750 bilinear
163 resnet50 -43 2.2267 -76.805 97.7733 11.3333 -83.051 88.6667 25.56 25.5600 224 0.875 0.8750 bicubic
164 regnety_016 -3 2.1733 -75.679 97.8267 11.44 11.4400 -82.276 88.56 88.5600 11.2 11.2000 224 0.875 0.8750 bicubic
165 regnetx_040 -28 2.16 2.1600 -76.326 97.84 97.8400 11.8 11.8000 -82.442 88.2 88.2000 22.12 22.1200 224 0.875 0.8750 bicubic
166 resnest14d +36 2.1467 -73.357 97.8533 10.4 10.4000 -82.114 89.6 89.6000 10.61 10.6100 224 0.875 0.8750 bilinear
167 selecsls60 -10 2.08 2.0800 -75.902 97.92 97.9200 12.84 12.8400 -80.992 87.16 87.1600 30.67 30.6700 224 0.875 0.8750 bicubic
168 tf_efficientnet_cc_b0_4e +6 2.08 2.0800 -75.224 97.92 97.9200 10.9733 -82.359 89.0267 13.31 13.3100 224 0.875 0.8750 bicubic
169 res2next50 -21 2.0667 -76.175 97.9333 11.4533 -82.439 88.5467 24.67 24.6700 224 0.875 0.8750 bilinear
170 seresnet50 -7 2.0667 -75.569 97.9333 12.2667 -81.485 87.7333 28.09 28.0900 224 0.875 0.8750 bilinear
171 densenet161 +2 1.9733 -75.375 98.0267 10.5867 -83.061 89.4133 28.68 28.6800 224 0.875 0.8750 bicubic
172 tf_efficientnet_b0_ap +9 1.96 1.9600 -75.124 98.04 98.0400 10.8 10.8000 -82.454 89.2 89.2000 5.29 5.2900 224 0.875 0.8750 bicubic
173 regnetx_032 -23 1.92 1.9200 -76.246 98.08 98.0800 10.9467 -83.133 89.0533 15.3 15.3000 224 0.875 0.8750 bicubic
174 tf_efficientnet_em -42 1.8133 -76.885 98.1867 11.6267 -82.693 88.3733 6.9 6.9000 240 0.882 0.8820 bicubic
175 tf_mixnet_m +8 1.8133 -75.137 98.1867 10.5467 -82.609 89.4533 5.01 5.0100 224 0.875 0.8750 bicubic
176 tf_efficientnet_lite2 -6 1.8 1.8000 -75.660 98.2 98.2000 11.1467 -82.599 88.8533 6.09 6.0900 260 0.89 0.8900 bicubic
177 res2net50_14w_8s -26 1.7867 -76.365 98.2133 10.3467 -83.495 89.6533 25.06 25.0600 224 0.875 0.8750 bilinear
178 res2net50_26w_4s -20 1.7733 -76.173 98.2267 10.44 10.4400 -83.412 89.56 89.5600 25.7 25.7000 224 0.875 0.8750 bilinear
179 mobilenetv3_large_100 +18 1.76 1.7600 -74.008 98.24 98.2400 10.2933 -82.247 89.7067 5.48 5.4800 224 0.875 0.8750 bicubic
180 densenet121 +20 1.7333 -73.841 98.2667 10.8533 -81.803 89.1467 7.98 7.9800 224 0.875 0.8750 bicubic
181 tf_efficientnet_b0 +5 1.6933 -75.147 98.3067 9.7333 -83.493 90.2667 5.29 5.2900 224 0.875 0.8750 bicubic
182 tv_resnext50_32x4d -18 1.68 1.6800 -75.938 98.32 98.3200 10.6 10.6000 -83.098 89.4 89.4000 25.03 25.0300 224 0.875 0.8750 bilinear
183 mobilenetv3_rw +16 1.6667 -73.961 98.3333 10.7333 -81.977 89.2667 5.48 5.4800 224 0.875 0.8750 bicubic
184 resnet101 -12 1.6667 -75.707 98.3333 9.8133 -83.733 90.1867 44.55 44.5500 224 0.875 0.8750 bilinear
185 mobilenetv2_120d -10 1.64 1.6400 -75.654 98.36 98.3600 10.4533 -83.049 89.5467 5.83 5.8300 224 0.875 0.8750 bicubic
186 mixnet_s +9 1.5867 -74.401 98.4133 10.2533 -82.541 89.7467 4.13 4.1300 224 0.875 0.8750 bicubic
187 densenet201 -11 1.5467 -75.743 98.4533 9.6267 -83.851 90.3733 20.01 20.0100 224 0.875 0.8750 bicubic
188 gluon_resnet50_v1c -34 1.5467 -76.463 98.4533 10.6133 -83.375 89.3867 25.58 25.5800 224 0.875 0.8750 bicubic
189 semnasnet_100 +14 1.5467 -73.909 98.4533 9.32 9.3200 -83.272 90.68 90.6800 3.89 3.8900 224 0.875 0.8750 bicubic
190 selecsls42b -11 1.4667 -75.709 98.5333 10.44 10.4400 -82.952 89.56 89.5600 32.46 32.4600 224 0.875 0.8750 bicubic
191 tf_efficientnet_lite1 -2 1.4533 -75.185 98.5467 9.7067 -83.525 90.2933 5.42 5.4200 240 0.882 0.8820 bicubic
192 regnety_008 = 1.4267 -74.887 98.5733 8.9467 -84.115 91.0533 6.26 6.2600 224 0.875 0.8750 bicubic
193 ssl_resnet18 +32 1.3867 -71.213 98.6133 8.16 8.1600 -83.256 91.84 91.8400 11.69 11.6900 224 0.875 0.8750 bilinear
194 dla60 -12 1.3467 -75.677 98.6533 9.4667 -83.841 90.5333 22.33 22.3300 224 0.875 0.8750 bilinear
195 dpn68 -2 1.3467 -74.959 98.6533 8.8133 -84.157 91.1867 12.61 12.6100 224 0.875 0.8750 bicubic
196 res2net50_48w_2s -27 1.3067 -76.207 98.6933 8.92 8.9200 -84.628 91.08 91.0800 25.29 25.2900 224 0.875 0.8750 bilinear
197 tf_mixnet_s +1 1.28 1.2800 -74.368 98.72 98.7200 8.7467 -83.889 91.2533 4.13 4.1300 224 0.875 0.8750 bicubic
198 mobilenetv2_140 -7 1.2533 -75.271 98.7467 9.1067 -83.883 90.8933 6.11 6.1100 224 0.875 0.8750 bicubic
199 fbnetc_100 +8 1.2267 -73.893 98.7733 8.7467 -83.639 91.2533 5.57 5.5700 224 0.875 0.8750 bilinear
200 resnet26d -12 1.2267 -75.453 98.7733 9.28 9.2800 -83.886 90.72 90.7200 16.01 16.0100 224 0.875 0.8750 bicubic
201 densenet169 -5 1.1867 -74.725 98.8133 8.32 8.3200 -84.704 91.68 91.6800 14.15 14.1500 224 0.875 0.8750 bicubic
202 tf_mobilenetv3_large_100 -1 1.1867 -74.329 98.8133 7.9467 -84.653 92.0533 5.48 5.4800 224 0.875 0.8750 bilinear
203 gluon_resnet50_v1b -36 1.16 1.1600 -76.418 98.84 98.8400 9.0267 -84.691 90.9733 25.56 25.5600 224 0.875 0.8750 bicubic
204 seresnet34 +8 1.12 1.1200 -73.688 98.88 98.8800 7.4 7.4000 -84.726 92.6 92.6000 21.96 21.9600 224 0.875 0.8750 bilinear
205 tf_efficientnet_es -28 1.12 1.1200 -76.144 98.88 98.8800 8.6 8.6000 -85.000 91.4 91.4000 5.44 5.4400 224 0.875 0.8750 bicubic
206 spnasnet_100 +11 1.1067 -72.973 98.8933 8.2533 -83.579 91.7467 4.42 4.4200 224 0.875 0.8750 bilinear
207 tf_efficientnet_lite0 +4 1.1067 -73.735 98.8933 7.4933 -84.677 92.5067 4.65 4.6500 224 0.875 0.8750 bicubic
208 regnetx_016 -24 1.0933 -75.837 98.9067 8.6267 -84.791 91.3733 9.19 9.1900 224 0.875 0.8750 bicubic
209 dla34 +6 1.08 1.0800 -73.556 98.92 98.9200 7.6933 -84.371 92.3067 15.78 15.7800 224 0.875 0.8750 bilinear
210 regnety_006 -5 1.0533 -74.207 98.9467 8.4 8.4000 -84.128 91.6 91.6000 6.06 6.0600 224 0.875 0.8750 bicubic
211 regnety_004 +7 1.0133 -73.013 98.9867 7.3333 -84.415 92.6667 4.34 4.3400 224 0.875 0.8750 bicubic
212 resnet34 -4 0.9867 -74.125 99.0133 7.5333 -84.755 92.4667 21.8 21.8000 224 0.875 0.8750 bilinear
213 mobilenetv2_110d -4 0.9333 -74.119 99.0667 8.1067 -84.073 91.8933 4.52 4.5200 224 0.875 0.8750 bicubic
214 gluon_resnet34_v1b +2 0.8933 -73.687 99.1067 6.6 6.6000 -85.388 93.4 93.4000 21.8 21.8000 224 0.875 0.8750 bicubic
215 hrnet_w18_small_v2 -9 0.8933 -74.233 99.1067 7.3867 -85.029 92.6133 15.6 15.6000 224 0.875 0.8750 bilinear
216 regnetx_008 -6 0.8933 -74.129 99.1067 6.9067 -85.437 93.0933 7.26 7.2600 224 0.875 0.8750 bicubic
217 skresnet18 +6 0.88 0.8800 -72.164 99.12 99.1200 7.3867 -83.791 92.6133 11.96 11.9600 224 0.875 0.8750 bicubic
218 mnasnet_100 -4 0.8667 -73.789 99.1333 7.8667 -84.259 92.1333 4.38 4.3800 224 0.875 0.8750 bicubic
219 tf_mobilenetv3_large_075 +1 0.8667 -72.575 99.1333 6.72 6.7200 -84.632 93.28 93.2800 3.99 3.9900 224 0.875 0.8750 bilinear
220 regnetx_006 -1 0.76 0.7600 -73.102 99.24 99.2400 6.4933 -85.187 93.5067 6.2 6.2000 224 0.875 0.8750 bicubic
221 tf_mobilenetv3_small_100 +13 0.7467 -67.171 99.2533 4.6667 -82.995 95.3333 2.54 2.5400 224 0.875 0.8750 bilinear
222 seresnet18 +7 0.72 0.7200 -71.038 99.28 99.2800 6.0267 -84.307 93.9733 11.78 11.7800 224 0.875 0.8750 bicubic
223 regnetx_004 +3 0.6933 -71.713 99.3067 5.5067 -85.323 94.4933 5.16 5.1600 224 0.875 0.8750 bicubic
224 tv_densenet121 -11 0.68 0.6800 -74.072 99.32 99.3200 6.9067 -85.245 93.0933 7.98 7.9800 224 0.875 0.8750 bicubic
225 regnety_002 +6 0.6667 -69.615 99.3333 5.5333 -84.007 94.4667 3.16 3.1600 224 0.875 0.8750 bicubic
226 tf_mobilenetv3_small_075 +11 0.6267 -65.091 99.3733 4.1733 -81.963 95.8267 2.04 2.0400 224 0.875 0.8750 bilinear
227 resnet26 -23 0.6 0.6000 -74.692 99.4 99.4000 6.88 6.8800 -85.690 93.12 93.1200 16.0 16.0000 224 0.875 0.8750 bicubic
228 tv_resnet34 -7 0.6 0.6000 -72.714 99.4 99.4000 5.52 5.5200 -85.900 94.48 94.4800 21.8 21.8000 224 0.875 0.8750 bilinear
229 mobilenetv2_100 -5 0.5333 -72.445 99.4667 6.1867 -84.829 93.8133 3.5 3.5000 224 0.875 0.8750 bicubic
230 dla46_c +8 0.52 0.5200 -64.358 99.48 99.4800 4.1867 -82.099 95.8133 1.31 1.3100 224 0.875 0.8750 bilinear
231 tf_mobilenetv3_large_minimal_100 -3 0.48 0.4800 -71.764 99.52 99.5200 4.88 4.8800 -85.756 95.12 95.1200 3.92 3.9200 224 0.875 0.8750 bilinear
232 dla60x_c +3 0.4667 -67.441 99.5333 5.2133 -83.221 94.7867 1.34 1.3400 224 0.875 0.8750 bilinear
233 hrnet_w18_small -6 0.4533 -71.889 99.5467 4.84 4.8400 -85.832 95.16 95.1600 13.19 13.1900 224 0.875 0.8750 bilinear
234 dla46x_c +2 0.4133 -65.567 99.5867 4.44 4.4400 -82.540 95.56 95.5600 1.08 1.0800 224 0.875 0.8750 bilinear
235 gluon_resnet18_v1b -5 0.3867 -70.443 99.6133 4.7867 -84.969 95.2133 11.69 11.6900 224 0.875 0.8750 bicubic
236 tf_mobilenetv3_small_minimal_100 +3 0.36 0.3600 -62.538 99.64 99.6400 2.8667 -81.363 97.1333 2.04 2.0400 224 0.875 0.8750 bilinear
237 resnet18 -5 0.2933 -69.465 99.7067 4.04 4.0400 -85.038 95.96 95.9600 11.69 11.6900 224 0.875 0.8750 bilinear
238 regnetx_002 -5 0.2267 -68.527 99.7733 3.9867 -84.561 96.0133 2.68 2.6800 224 0.875 0.8750 bicubic
239 tv_resnet50 -45 0.0 0.0000 -76.130 100.0 100.0000 2.8933 -89.969 97.1067 25.56 25.5600 224 0.875 0.8750 bilinear

@ -1,215 +1,215 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns_475,80.47,19.53,95.73,4.27,480.31,475,0.936,bicubic
tf_efficientnet_l2_ns,80.25,19.75,95.85,4.15,480.31,800,0.96,bicubic
tf_efficientnet_b7_ns,78.52,21.48,94.37,5.63,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,77.28,22.72,93.89,6.11,43.04,528,0.942,bicubic
ig_resnext101_32x48d,76.87,23.13,93.32,6.68,828.41,224,0.875,bilinear
ig_resnext101_32x32d,76.84,23.16,93.19,6.81,468.53,224,0.875,bilinear
tf_efficientnet_b5_ns,76.82,23.18,93.58,6.42,30.39,456,0.934,bicubic
tf_efficientnet_b7_ap,76.09,23.91,92.97,7.03,66.35,600,0.949,bicubic
tf_efficientnet_b8_ap,76.09,23.91,92.73,7.27,87.41,672,0.954,bicubic
ig_resnext101_32x16d,75.71,24.29,92.9,7.1,194.03,224,0.875,bilinear
tf_efficientnet_b4_ns,75.69,24.31,93.04,6.96,19.34,380,0.922,bicubic
swsl_resnext101_32x8d,75.45,24.55,92.75,7.25,88.79,224,0.875,bilinear
tf_efficientnet_b6_ap,75.38,24.62,92.44,7.56,43.04,528,0.942,bicubic
tf_efficientnet_b8,74.93,25.07,92.32,7.68,87.41,672,0.954,bicubic
tf_efficientnet_b7,74.72,25.28,92.22,7.78,66.35,600,0.949,bicubic
tf_efficientnet_b5_ap,74.59,25.41,91.99,8.01,30.39,456,0.934,bicubic
swsl_resnext101_32x4d,74.15,25.85,91.99,8.01,44.18,224,0.875,bilinear
swsl_resnext101_32x16d,74.01,25.99,92.17,7.83,194.03,224,0.875,bilinear
resnest200e,73.93,26.07,91.58,8.42,70.2,320,0.875,bilinear
tf_efficientnet_b6,73.9,26.1,91.75,8.25,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,73.87,26.13,91.86,8.14,12.23,300,0.904,bicubic
ig_resnext101_32x8d,73.66,26.34,92.15,7.85,88.79,224,0.875,bilinear
tf_efficientnet_b5,73.54,26.46,91.46,8.54,30.39,456,0.934,bicubic
resnest269e,73.46,26.54,91.68,8.32,110.93,416,0.875,bilinear
tf_efficientnet_b4_ap,72.89,27.11,90.98,9.02,19.34,380,0.922,bicubic
swsl_resnext50_32x4d,72.58,27.42,90.84,9.16,25.03,224,0.875,bilinear
resnest101e,72.55,27.45,90.81,9.19,48.28,256,0.875,bilinear
tresnet_xl_448,72.55,27.45,90.31,9.69,78.44,448,0.875,bilinear
pnasnet5large,72.37,27.63,90.26,9.74,86.06,331,0.875,bicubic
nasnetalarge,72.31,27.69,90.51,9.49,88.75,331,0.875,bicubic
tf_efficientnet_b4,72.28,27.72,90.6,9.4,19.34,380,0.922,bicubic
tf_efficientnet_b2_ns,72.27,27.73,91.09,8.91,9.11,260,0.89,bicubic
swsl_resnet50,71.69,28.31,90.51,9.49,25.56,224,0.875,bilinear
tresnet_xl,71.65,28.35,89.63,10.37,78.44,224,0.875,bilinear
tresnet_l_448,71.6,28.4,90.06,9.94,55.99,448,0.875,bilinear
ecaresnet101d,71.5,28.5,90.31,9.69,44.57,224,0.875,bicubic
ssl_resnext101_32x8d,71.49,28.51,90.47,9.53,88.79,224,0.875,bilinear
ssl_resnext101_32x16d,71.4,28.6,90.55,9.45,194.03,224,0.875,bilinear
tresnet_m_448,71.0,29.0,88.68,11.32,31.39,448,0.875,bilinear
resnest50d_4s2x40d,70.94,29.06,89.71,10.29,30.42,224,0.875,bicubic
tf_efficientnet_b3_ap,70.92,29.08,89.43,10.57,12.23,300,0.904,bicubic
efficientnet_b3a,70.87,29.13,89.72,10.28,12.23,320,1.0,bicubic
tf_efficientnet_b1_ns,70.85,29.15,90.11,9.89,7.79,240,0.882,bicubic
tresnet_l,70.83,29.17,89.61,10.39,55.99,224,0.875,bilinear
efficientnet_b3,70.76,29.24,89.84,10.16,12.23,300,0.904,bicubic
tf_efficientnet_b3,70.62,29.38,89.44,10.56,12.23,300,0.904,bicubic
gluon_senet154,70.6,29.4,88.92,11.08,115.09,224,0.875,bicubic
ssl_resnext101_32x4d,70.5,29.5,89.76,10.24,44.18,224,0.875,bilinear
senet154,70.48,29.52,88.99,11.01,115.09,224,0.875,bilinear
gluon_seresnext101_64x4d,70.44,29.56,89.35,10.65,88.23,224,0.875,bicubic
resnest50d_1s4x24d,70.43,29.57,89.24,10.76,25.68,224,0.875,bicubic
tf_efficientnet_lite4,70.43,29.57,89.12,10.88,13.01,380,0.92,bilinear
resnest50d,70.42,29.58,88.76,11.24,27.48,224,0.875,bilinear
gluon_resnet152_v1s,70.32,29.68,88.87,11.13,60.32,224,0.875,bicubic
ecaresnet101d_pruned,70.12,29.88,89.58,10.42,24.88,224,0.875,bicubic
inception_resnet_v2,70.12,29.88,88.68,11.32,55.84,299,0.8975,bicubic
gluon_seresnext101_32x4d,70.01,29.99,88.91,11.09,48.96,224,0.875,bicubic
gluon_resnet152_v1d,69.95,30.05,88.47,11.53,60.21,224,0.875,bicubic
ecaresnet50d,69.83,30.17,89.37,10.63,25.58,224,0.875,bicubic
gluon_resnext101_64x4d,69.69,30.31,88.26,11.74,83.46,224,0.875,bicubic
ssl_resnext50_32x4d,69.69,30.31,89.42,10.58,25.03,224,0.875,bilinear
tresnet_m,69.65,30.35,88.0,12.0,31.39,224,0.875,bilinear
efficientnet_b3_pruned,69.58,30.42,88.97,11.03,9.86,300,0.904,bicubic
ens_adv_inception_resnet_v2,69.52,30.48,88.5,11.5,55.84,299,0.8975,bicubic
efficientnet_b2a,69.49,30.51,88.68,11.32,9.11,288,1.0,bicubic
inception_v4,69.35,30.65,88.78,11.22,42.68,299,0.875,bicubic
seresnext101_32x4d,69.34,30.66,88.05,11.95,48.96,224,0.875,bilinear
ecaresnetlight,69.33,30.67,89.22,10.78,30.16,224,0.875,bicubic
gluon_resnet152_v1c,69.13,30.87,87.89,12.11,60.21,224,0.875,bicubic
mixnet_xl,69.08,30.92,88.31,11.69,11.9,224,0.875,bicubic
efficientnet_b2,69.0,31.0,88.62,11.38,9.11,260,0.875,bicubic
gluon_resnet101_v1d,68.99,31.01,88.08,11.92,44.57,224,0.875,bicubic
gluon_xception65,68.98,31.02,88.32,11.68,39.92,299,0.875,bicubic
gluon_resnext101_32x4d,68.96,31.04,88.34,11.66,44.18,224,0.875,bicubic
tf_efficientnet_b2_ap,68.93,31.07,88.34,11.66,9.11,260,0.89,bicubic
gluon_resnet152_v1b,68.81,31.19,87.71,12.29,60.19,224,0.875,bicubic
dpn131,68.76,31.24,87.48,12.52,79.25,224,0.875,bicubic
resnext50d_32x4d,68.75,31.25,88.31,11.69,25.05,224,0.875,bicubic
tf_efficientnet_b2,68.75,31.25,87.95,12.05,9.11,260,0.89,bicubic
gluon_resnet101_v1s,68.72,31.28,87.9,12.1,44.67,224,0.875,bicubic
dpn107,68.71,31.29,88.13,11.87,86.92,224,0.875,bicubic
gluon_seresnext50_32x4d,68.67,31.33,88.32,11.68,27.56,224,0.875,bicubic
hrnet_w64,68.63,31.37,88.07,11.93,128.06,224,0.875,bilinear
resnext50_32x4d,68.61,31.39,87.57,12.43,25.03,224,0.875,bicubic
dpn98,68.58,31.42,87.66,12.34,61.57,224,0.875,bicubic
ssl_resnet50,68.42,31.58,88.58,11.42,25.56,224,0.875,bilinear
ecaresnet50d_pruned,68.39,31.61,88.37,11.63,19.94,224,0.875,bicubic
skresnext50_32x4d,68.39,31.61,87.59,12.41,27.48,224,0.875,bicubic
dla102x2,68.34,31.66,87.87,12.13,41.75,224,0.875,bilinear
efficientnet_b2_pruned,68.3,31.7,88.1,11.9,8.31,260,0.89,bicubic
gluon_resnext50_32x4d,68.28,31.72,87.32,12.68,25.03,224,0.875,bicubic
tf_efficientnet_lite3,68.23,31.77,87.72,12.28,8.2,300,0.904,bilinear
ese_vovnet39b,68.19,31.81,88.26,11.74,24.57,224,0.875,bicubic
tf_efficientnet_el,68.18,31.82,88.35,11.65,10.59,300,0.904,bicubic
dpn92,68.01,31.99,87.59,12.41,37.67,224,0.875,bicubic
gluon_resnet50_v1d,67.91,32.09,87.12,12.88,25.58,224,0.875,bicubic
seresnext50_32x4d,67.87,32.13,87.62,12.38,27.56,224,0.875,bilinear
resnext101_32x8d,67.85,32.15,87.48,12.52,88.79,224,0.875,bilinear
hrnet_w44,67.77,32.23,87.53,12.47,67.06,224,0.875,bilinear
hrnet_w48,67.77,32.23,87.42,12.58,77.47,224,0.875,bilinear
tf_efficientnet_b0_ns,67.72,32.28,88.08,11.92,5.29,224,0.875,bicubic
xception,67.67,32.33,87.57,12.43,22.86,299,0.8975,bicubic
dla169,67.61,32.39,87.56,12.44,53.99,224,0.875,bilinear
gluon_inception_v3,67.59,32.41,87.46,12.54,23.83,299,0.875,bicubic
hrnet_w40,67.59,32.41,87.13,12.87,57.56,224,0.875,bilinear
gluon_resnet101_v1c,67.56,32.44,87.16,12.84,44.57,224,0.875,bicubic
seresnet152,67.55,32.45,87.39,12.61,66.82,224,0.875,bilinear
res2net50_26w_8s,67.53,32.47,87.27,12.73,48.4,224,0.875,bilinear
tf_efficientnet_b1_ap,67.52,32.48,87.77,12.23,7.79,240,0.882,bicubic
tf_efficientnet_cc_b1_8e,67.48,32.52,87.31,12.69,39.72,240,0.882,bicubic
gluon_resnet101_v1b,67.45,32.55,87.23,12.77,44.55,224,0.875,bicubic
res2net101_26w_4s,67.45,32.55,87.01,12.99,45.21,224,0.875,bilinear
resnet50,67.44,32.56,87.42,12.58,25.56,224,0.875,bicubic
resnetblur50,67.44,32.56,87.43,12.57,25.56,224,0.875,bicubic
resnest26d,67.21,32.79,87.18,12.82,17.07,224,0.875,bilinear
efficientnet_b1,67.16,32.84,87.15,12.85,7.79,240,0.875,bicubic
seresnet101,67.15,32.85,87.05,12.95,49.33,224,0.875,bilinear
gluon_resnet50_v1s,67.1,32.9,86.86,13.14,25.68,224,0.875,bicubic
dla60x,67.08,32.92,87.17,12.83,17.65,224,0.875,bilinear
dla60_res2net,67.03,32.97,87.14,12.86,21.15,224,0.875,bilinear
resnet152,67.02,32.98,87.57,12.43,60.19,224,0.875,bilinear
dla102x,67.0,33.0,86.77,13.23,26.77,224,0.875,bilinear
mixnet_l,66.97,33.03,86.94,13.06,7.33,224,0.875,bicubic
res2net50_26w_6s,66.91,33.09,86.9,13.1,37.05,224,0.875,bilinear
efficientnet_es,66.89,33.11,86.73,13.27,5.44,224,0.875,bicubic
tf_efficientnet_b1,66.89,33.11,87.04,12.96,7.79,240,0.882,bicubic
tf_efficientnet_em,66.87,33.13,86.98,13.02,6.9,240,0.882,bicubic
hrnet_w32,66.79,33.21,87.29,12.71,41.23,224,0.875,bilinear
tf_mixnet_l,66.78,33.22,86.46,13.54,7.33,224,0.875,bicubic
hrnet_w30,66.76,33.24,86.79,13.21,37.71,224,0.875,bilinear
selecsls60b,66.72,33.28,86.54,13.46,32.77,224,0.875,bicubic
wide_resnet101_2,66.68,33.32,87.04,12.96,126.89,224,0.875,bilinear
wide_resnet50_2,66.65,33.35,86.81,13.19,68.88,224,0.875,bilinear
dla60_res2next,66.64,33.36,87.02,12.98,17.33,224,0.875,bilinear
adv_inception_v3,66.6,33.4,86.56,13.44,23.83,299,0.875,bicubic
dla102,66.55,33.45,86.91,13.09,33.73,224,0.875,bilinear
gluon_resnet50_v1c,66.54,33.46,86.16,13.84,25.58,224,0.875,bicubic
tf_inception_v3,66.42,33.58,86.68,13.32,23.83,299,0.875,bicubic
efficientnet_b0,66.25,33.75,85.95,14.05,5.29,224,0.875,bicubic
seresnet50,66.24,33.76,86.33,13.67,28.09,224,0.875,bilinear
selecsls60,66.22,33.78,86.33,13.67,30.67,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,66.21,33.79,86.22,13.78,24.01,224,0.875,bicubic
tv_resnext50_32x4d,66.18,33.82,86.04,13.96,25.03,224,0.875,bilinear
res2net50_26w_4s,66.17,33.83,86.6,13.4,25.7,224,0.875,bilinear
inception_v3,66.12,33.88,86.34,13.66,23.83,299,0.875,bicubic
efficientnet_b1_pruned,66.08,33.92,86.58,13.42,6.33,240,0.882,bicubic
gluon_resnet50_v1b,66.04,33.96,86.27,13.73,25.56,224,0.875,bicubic
res2net50_14w_8s,66.02,33.98,86.24,13.76,25.06,224,0.875,bilinear
densenet161,65.85,34.15,86.46,13.54,28.68,224,0.875,bicubic
res2next50,65.85,34.15,85.83,14.17,24.67,224,0.875,bilinear
seresnext26tn_32x4d,65.85,34.15,85.68,14.32,16.81,224,0.875,bicubic
skresnet34,65.77,34.23,85.96,14.04,22.28,224,0.875,bicubic
resnet101,65.68,34.32,85.98,14.02,44.55,224,0.875,bilinear
dpn68b,65.6,34.4,85.94,14.06,12.61,224,0.875,bicubic
seresnext26t_32x4d,65.6,34.4,86.09,13.91,16.82,224,0.875,bicubic
selecsls42b,65.59,34.41,85.83,14.17,32.46,224,0.875,bicubic
tf_efficientnet_b0_ap,65.49,34.51,85.55,14.45,5.29,224,0.875,bicubic
seresnext26d_32x4d,65.42,34.58,85.97,14.03,16.81,224,0.875,bicubic
tf_efficientnet_lite2,65.39,34.61,86.03,13.97,6.09,260,0.89,bicubic
res2net50_48w_2s,65.32,34.68,85.96,14.04,25.29,224,0.875,bilinear
densenetblur121d,65.3,34.7,85.71,14.29,8.0,224,0.875,bicubic
densenet201,65.28,34.72,85.67,14.33,20.01,224,0.875,bicubic
tf_efficientnet_es,65.24,34.76,85.54,14.46,5.44,224,0.875,bicubic
dla60,65.22,34.78,85.75,14.25,22.33,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,65.13,34.87,85.13,14.87,13.31,224,0.875,bicubic
mobilenetv2_120d,65.04,34.96,85.99,14.01,5.83,224,0.875,bicubic
seresnext26_32x4d,65.04,34.96,85.65,14.35,16.79,224,0.875,bicubic
hrnet_w18,64.91,35.09,85.75,14.25,21.3,224,0.875,bilinear
densenet169,64.78,35.22,85.25,14.75,14.15,224,0.875,bicubic
mixnet_m,64.69,35.31,85.47,14.53,5.01,224,0.875,bicubic
resnet26d,64.63,35.37,85.12,14.88,16.01,224,0.875,bicubic
tf_efficientnet_lite1,64.37,35.63,85.49,14.51,5.42,240,0.882,bicubic
tf_efficientnet_b0,64.29,35.71,85.25,14.75,5.29,224,0.875,bicubic
tf_mixnet_m,64.27,35.73,85.09,14.91,5.01,224,0.875,bicubic
dpn68,64.22,35.78,85.18,14.82,12.61,224,0.875,bicubic
mobilenetv2_140,64.05,35.95,85.02,14.98,6.11,224,0.875,bicubic
densenet121,63.74,36.26,84.63,15.37,7.98,224,0.875,bicubic
resnest14d,63.6,36.4,84.22,15.78,10.61,224,0.875,bilinear
tf_mixnet_s,63.59,36.41,84.27,15.73,4.13,224,0.875,bicubic
resnet26,63.45,36.55,84.27,15.73,16.0,224,0.875,bicubic
mixnet_s,63.38,36.62,84.71,15.29,4.13,224,0.875,bicubic
mobilenetv3_large_100,63.36,36.64,84.08,15.92,5.48,224,0.875,bicubic
tv_resnet50,63.33,36.67,84.65,15.35,25.56,224,0.875,bilinear
mobilenetv3_rw,63.23,36.77,84.52,15.48,5.48,224,0.875,bicubic
semnasnet_100,63.12,36.88,84.53,15.47,3.89,224,0.875,bicubic
tv_densenet121,62.94,37.06,84.26,15.74,7.98,224,0.875,bicubic
seresnet34,62.89,37.11,84.22,15.78,21.96,224,0.875,bilinear
hrnet_w18_small_v2,62.83,37.17,83.97,16.03,15.6,224,0.875,bilinear
mobilenetv2_110d,62.82,37.18,84.48,15.52,4.52,224,0.875,bicubic
resnet34,62.82,37.18,84.12,15.88,21.8,224,0.875,bilinear
swsl_resnet18,62.73,37.27,84.3,15.7,11.69,224,0.875,bilinear
tf_efficientnet_lite0,62.58,37.42,84.25,15.75,4.65,224,0.875,bicubic
gluon_resnet34_v1b,62.56,37.44,84.0,16.0,21.8,224,0.875,bicubic
dla34,62.51,37.49,83.92,16.08,15.78,224,0.875,bilinear
tf_mobilenetv3_large_100,62.47,37.53,83.96,16.04,5.48,224,0.875,bilinear
fbnetc_100,62.43,37.57,83.39,16.61,5.57,224,0.875,bilinear
mnasnet_100,61.91,38.09,83.71,16.29,4.38,224,0.875,bicubic
ssl_resnet18,61.49,38.51,83.33,16.67,11.69,224,0.875,bilinear
spnasnet_100,61.21,38.79,82.77,17.23,4.42,224,0.875,bilinear
tv_resnet34,61.2,38.8,82.72,17.28,21.8,224,0.875,bilinear
skresnet18,60.85,39.15,82.88,17.12,11.96,224,0.875,bicubic
tf_mobilenetv3_large_075,60.38,39.62,81.96,18.04,3.99,224,0.875,bilinear
mobilenetv2_100,60.16,39.84,82.24,17.76,3.5,224,0.875,bicubic
seresnet18,59.81,40.19,81.68,18.32,11.78,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,59.07,40.93,81.14,18.86,3.92,224,0.875,bilinear
hrnet_w18_small,58.97,41.03,81.34,18.66,13.19,224,0.875,bilinear
gluon_resnet18_v1b,58.32,41.68,80.96,19.04,11.69,224,0.875,bicubic
resnet18,57.18,42.82,80.19,19.81,11.69,224,0.875,bilinear
dla60x_c,56.02,43.98,78.96,21.04,1.34,224,0.875,bilinear
tf_mobilenetv3_small_100,54.51,45.49,77.08,22.92,2.54,224,0.875,bilinear
dla46x_c,53.08,46.92,76.84,23.16,1.08,224,0.875,bilinear
dla46_c,52.2,47.8,75.68,24.32,1.31,224,0.875,bilinear
tf_mobilenetv3_small_075,52.15,47.85,75.46,24.54,2.04,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,49.53,50.47,73.05,26.95,2.04,224,0.875,bilinear
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,+1,80.4700,-7.764,19.5300,95.7300,-2.816,4.2700,480.3100,475,0.9360,bicubic
tf_efficientnet_l2_ns,-1,80.2500,-8.102,19.7500,95.8500,-2.798,4.1500,480.3100,800,0.9600,bicubic
tf_efficientnet_b7_ns,=,78.5200,-8.318,21.4800,94.3700,-3.724,5.6300,66.3500,600,0.9490,bicubic
tf_efficientnet_b6_ns,=,77.2800,-9.182,22.7200,93.8900,-3.994,6.1100,43.0400,528,0.9420,bicubic
ig_resnext101_32x48d,+1,76.8700,-8.572,23.1300,93.3200,-4.252,6.6800,828.4100,224,0.8750,bilinear
ig_resnext101_32x32d,+5,76.8400,-8.252,23.1600,93.1900,-4.246,6.8100,468.5300,224,0.8750,bilinear
tf_efficientnet_b5_ns,-2,76.8200,-9.260,23.1800,93.5800,-4.174,6.4200,30.3900,456,0.9340,bicubic
tf_efficientnet_b7_ap,+2,76.0900,-9.028,23.9100,92.9700,-4.282,7.0300,66.3500,600,0.9490,bicubic
tf_efficientnet_b8_ap,-1,76.0900,-9.278,23.9100,92.7300,-4.564,7.2700,87.4100,672,0.9540,bicubic
ig_resnext101_32x16d,+7,75.7100,-8.466,24.2900,92.9000,-4.296,7.1000,194.0300,224,0.8750,bilinear
tf_efficientnet_b4_ns,-2,75.6900,-9.468,24.3100,93.0400,-4.428,6.9600,19.3400,380,0.9220,bicubic
swsl_resnext101_32x8d,+2,75.4500,-8.844,24.5500,92.7500,-4.424,7.2500,88.7900,224,0.8750,bilinear
tf_efficientnet_b6_ap,=,75.3800,-9.406,24.6200,92.4400,-4.698,7.5600,43.0400,528,0.9420,bicubic
tf_efficientnet_b8,-7,74.9300,-10.440,25.0700,92.3200,-5.072,7.6800,87.4100,672,0.9540,bicubic
tf_efficientnet_b7,-3,74.7200,-10.212,25.2800,92.2200,-4.988,7.7800,66.3500,600,0.9490,bicubic
tf_efficientnet_b5_ap,-1,74.5900,-9.664,25.4100,91.9900,-4.986,8.0100,30.3900,456,0.9340,bicubic
swsl_resnext101_32x4d,+7,74.1500,-9.084,25.8500,91.9900,-4.766,8.0100,44.1800,224,0.8750,bilinear
swsl_resnext101_32x16d,+4,74.0100,-9.328,25.9900,92.1700,-4.682,7.8300,194.0300,224,0.8750,bilinear
resnest200e,+1,73.9300,-9.904,26.0700,91.5800,-5.258,8.4200,70.2000,320,0.8750,bilinear
tf_efficientnet_b6,-2,73.9000,-10.212,26.1000,91.7500,-5.134,8.2500,43.0400,528,0.9420,bicubic
tf_efficientnet_b3_ns,-2,73.8700,-10.184,26.1300,91.8600,-5.052,8.1400,12.2300,300,0.9040,bicubic
ig_resnext101_32x8d,+7,73.6600,-9.028,26.3400,92.1500,-4.482,7.8500,88.7900,224,0.8750,bilinear
tf_efficientnet_b5,-2,73.5400,-10.276,26.4600,91.4600,-5.290,8.5400,30.3900,456,0.9340,bicubic
resnest269e,-8,73.4600,-10.726,26.5400,91.6800,-5.242,8.3200,110.9300,416,0.8750,bilinear
tf_efficientnet_b4_ap,-2,72.8900,-10.358,27.1100,90.9800,-5.408,9.0200,19.3400,380,0.9220,bicubic
swsl_resnext50_32x4d,+7,72.5800,-9.600,27.4200,90.8400,-5.388,9.1600,25.0300,224,0.8750,bilinear
resnest101e,=,72.5500,-10.340,27.4500,90.8100,-5.514,9.1900,48.2800,256,0.8750,bilinear
tresnet_xl_448,-3,72.5500,-10.498,27.4500,90.3100,-5.864,9.6900,78.4400,448,0.8750,bilinear
pnasnet5large,-1,72.3700,-10.370,27.6300,90.2600,-5.780,9.7400,86.0600,331,0.8750,bicubic
nasnetalarge,=,72.3100,-10.248,27.6900,90.5100,-5.526,9.4900,88.7500,331,0.8750,bicubic
tf_efficientnet_b4,-5,72.2800,-10.736,27.7200,90.6000,-5.698,9.4000,19.3400,380,0.9220,bicubic
tf_efficientnet_b2_ns,-1,72.2700,-10.110,27.7300,91.0900,-5.162,8.9100,9.1100,260,0.8900,bicubic
swsl_resnet50,+15,71.6900,-9.490,28.3100,90.5100,-5.476,9.4900,25.5600,224,0.8750,bilinear
tresnet_xl,+1,71.6500,-10.420,28.3500,89.6300,-6.298,10.3700,78.4400,224,0.8750,bilinear
tresnet_l_448,-3,71.6000,-10.668,28.4000,90.0600,-5.918,9.9400,55.9900,448,0.8750,bilinear
ecaresnet101d,-2,71.5000,-10.666,28.5000,90.3100,-5.742,9.6900,44.5700,224,0.8750,bicubic
ssl_resnext101_32x8d,+4,71.4900,-10.136,28.5100,90.4700,-5.568,9.5300,88.7900,224,0.8750,bilinear
ssl_resnext101_32x16d,-1,71.4000,-10.436,28.6000,90.5500,-5.544,9.4500,194.0300,224,0.8750,bilinear
tresnet_m_448,=,71.0000,-10.712,29.0000,88.6800,-6.890,11.3200,31.3900,448,0.8750,bilinear
resnest50d_4s2x40d,+9,70.9400,-10.174,29.0600,89.7100,-5.858,10.2900,30.4200,224,0.8750,bicubic
tf_efficientnet_b3_ap,-3,70.9200,-10.908,29.0800,89.4300,-6.194,10.5700,12.2300,300,0.9040,bicubic
efficientnet_b3a,-6,70.8700,-11.004,29.1300,89.7200,-6.120,10.2800,12.2300,320,1.0000,bicubic
tf_efficientnet_b1_ns,+2,70.8500,-10.536,29.1500,90.1100,-5.628,9.8900,7.7900,240,0.8820,bicubic
tresnet_l,=,70.8300,-10.658,29.1700,89.6100,-6.018,10.3900,55.9900,224,0.8750,bilinear
efficientnet_b3,-2,70.7600,-10.738,29.2400,89.8400,-5.878,10.1600,12.2300,300,0.9040,bicubic
tf_efficientnet_b3,-6,70.6200,-11.020,29.3800,89.4400,-6.282,10.5600,12.2300,300,0.9040,bicubic
gluon_senet154,=,70.6000,-10.624,29.4000,88.9200,-6.436,11.0800,115.0900,224,0.8750,bicubic
ssl_resnext101_32x4d,+5,70.5000,-10.428,29.5000,89.7600,-5.968,10.2400,44.1800,224,0.8750,bilinear
senet154,-3,70.4800,-10.824,29.5200,88.9900,-6.508,11.0100,115.0900,224,0.8750,bilinear
gluon_seresnext101_64x4d,+5,70.4400,-10.450,29.5600,89.3500,-5.954,10.6500,88.2300,224,0.8750,bicubic
resnest50d_1s4x24d,=,70.4300,-10.560,29.5700,89.2400,-6.082,10.7600,25.6800,224,0.8750,bicubic
tf_efficientnet_lite4,-10,70.4300,-11.098,29.5700,89.1200,-6.548,10.8800,13.0100,380,0.9200,bilinear
resnest50d,-1,70.4200,-10.538,29.5800,88.7600,-6.622,11.2400,27.4800,224,0.8750,bilinear
gluon_resnet152_v1s,-4,70.3200,-10.692,29.6800,88.8700,-6.546,11.1300,60.3200,224,0.8750,bicubic
ecaresnet101d_pruned,+3,70.1200,-10.688,29.8800,89.5800,-6.048,10.4200,24.8800,224,0.8750,bicubic
inception_resnet_v2,+9,70.1200,-10.340,29.8800,88.6800,-6.630,11.3200,55.8400,299,0.8975,bicubic
gluon_seresnext101_32x4d,-3,70.0100,-10.892,29.9900,88.9100,-6.384,11.0900,48.9600,224,0.8750,bicubic
gluon_resnet152_v1d,+6,69.9500,-10.520,30.0500,88.4700,-6.736,11.5300,60.2100,224,0.8750,bicubic
ecaresnet50d,+2,69.8300,-10.774,30.1700,89.3700,-5.952,10.6300,25.5800,224,0.8750,bicubic
gluon_resnext101_64x4d,+2,69.6900,-10.912,30.3100,88.2600,-6.734,11.7400,83.4600,224,0.8750,bicubic
ssl_resnext50_32x4d,+11,69.6900,-10.638,30.3100,89.4200,-5.984,10.5800,25.0300,224,0.8750,bilinear
tresnet_m,-3,69.6500,-11.146,30.3500,88.0000,-6.856,12.0000,31.3900,224,0.8750,bilinear
efficientnet_b3_pruned,-7,69.5800,-11.276,30.4200,88.9700,-6.270,11.0300,9.8600,300,0.9040,bicubic
ens_adv_inception_resnet_v2,+19,69.5200,-10.456,30.4800,88.5000,-6.446,11.5000,55.8400,299,0.8975,bicubic
efficientnet_b2a,-5,69.4900,-11.118,30.5100,88.6800,-6.630,11.3200,9.1100,288,1.0000,bicubic
inception_v4,+13,69.3500,-10.806,30.6500,88.7800,-6.194,11.2200,42.6800,299,0.8750,bicubic
seresnext101_32x4d,+10,69.3400,-10.896,30.6600,88.0500,-6.978,11.9500,48.9600,224,0.8750,bilinear
ecaresnetlight,-2,69.3300,-11.124,30.6700,89.2200,-6.036,10.7800,30.1600,224,0.8750,bicubic
gluon_resnet152_v1c,+16,69.1300,-10.786,30.8700,87.8900,-6.952,12.1100,60.2100,224,0.8750,bicubic
mixnet_xl,-7,69.0800,-11.398,30.9200,88.3100,-6.622,11.6900,11.9000,224,0.8750,bicubic
efficientnet_b2,-2,69.0000,-11.402,31.0000,88.6200,-6.456,11.3800,9.1100,260,0.8750,bicubic
gluon_resnet101_v1d,-4,68.9900,-11.434,31.0100,88.0800,-6.940,11.9200,44.5700,224,0.8750,bicubic
gluon_xception65,+24,68.9800,-10.624,31.0200,88.3200,-6.428,11.6800,39.9200,299,0.8750,bicubic
gluon_resnext101_32x4d,-3,68.9600,-11.374,31.0400,88.3400,-6.586,11.6600,44.1800,224,0.8750,bicubic
tf_efficientnet_b2_ap,-2,68.9300,-11.376,31.0700,88.3400,-6.688,11.6600,9.1100,260,0.8900,bicubic
gluon_resnet152_v1b,+18,68.8100,-10.882,31.1900,87.7100,-7.028,12.2900,60.1900,224,0.8750,bicubic
dpn131,+12,68.7600,-11.068,31.2400,87.4800,-7.224,12.5200,79.2500,224,0.8750,bicubic
resnext50d_32x4d,+17,68.7500,-10.924,31.2500,88.3100,-6.558,11.6900,25.0500,224,0.8750,bicubic
tf_efficientnet_b2,+2,68.7500,-11.340,31.2500,87.9500,-6.956,12.0500,9.1100,260,0.8900,bicubic
gluon_resnet101_v1s,-6,68.7200,-11.580,31.2800,87.9000,-7.250,12.1000,44.6700,224,0.8750,bicubic
dpn107,-3,68.7100,-11.454,31.2900,88.1300,-6.782,11.8700,86.9200,224,0.8750,bicubic
gluon_seresnext50_32x4d,+4,68.6700,-11.242,31.3300,88.3200,-6.498,11.6800,27.5600,224,0.8750,bicubic
hrnet_w64,+17,68.6300,-10.842,31.3700,88.0700,-6.580,11.9300,128.0600,224,0.8750,bilinear
resnext50_32x4d,+7,68.6100,-11.152,31.3900,87.5700,-7.030,12.4300,25.0300,224,0.8750,bicubic
dpn98,+11,68.5800,-11.056,31.4200,87.6600,-6.934,12.3400,61.5700,224,0.8750,bicubic
ssl_resnet50,+24,68.4200,-10.808,31.5800,88.5800,-6.252,11.4200,25.5600,224,0.8750,bilinear
ecaresnet50d_pruned,+5,68.3900,-11.328,31.6100,88.3700,-6.520,11.6300,19.9400,224,0.8750,bicubic
skresnext50_32x4d,-8,68.3900,-11.760,31.6100,87.5900,-7.054,12.4100,27.4800,224,0.8750,bicubic
dla102x2,+12,68.3400,-11.112,31.6600,87.8700,-6.774,12.1300,41.7500,224,0.8750,bilinear
efficientnet_b2_pruned,-6,68.3000,-11.618,31.7000,88.1000,-6.748,11.9000,8.3100,260,0.8900,bicubic
gluon_resnext50_32x4d,+11,68.2800,-11.076,31.7200,87.3200,-7.104,12.6800,25.0300,224,0.8750,bicubic
tf_efficientnet_lite3,-2,68.2300,-11.582,31.7700,87.7200,-7.194,12.2800,8.2000,300,0.9040,bilinear
ese_vovnet39b,+10,68.1900,-11.130,31.8100,88.2600,-6.450,11.7400,24.5700,224,0.8750,bicubic
tf_efficientnet_el,-27,68.1800,-12.268,31.8200,88.3500,-6.810,11.6500,10.5900,300,0.9040,bicubic
dpn92,-13,68.0100,-12.006,31.9900,87.5900,-7.248,12.4100,37.6700,224,0.8750,bicubic
gluon_resnet50_v1d,+20,67.9100,-11.164,32.0900,87.1200,-7.356,12.8800,25.5800,224,0.8750,bicubic
seresnext50_32x4d,+18,67.8700,-11.206,32.1300,87.6200,-6.814,12.3800,27.5600,224,0.8750,bilinear
resnext101_32x8d,+6,67.8500,-11.462,32.1500,87.4800,-7.046,12.5200,88.7900,224,0.8750,bilinear
hrnet_w44,+23,67.7700,-11.124,32.2300,87.5300,-6.840,12.4700,67.0600,224,0.8750,bilinear
hrnet_w48,+5,67.7700,-11.540,32.2300,87.4200,-7.098,12.5800,77.4700,224,0.8750,bilinear
tf_efficientnet_b0_ns,+32,67.7200,-10.932,32.2800,88.0800,-6.288,11.9200,5.2900,224,0.8750,bicubic
xception,+16,67.6700,-11.378,32.3300,87.5700,-6.822,12.4300,22.8600,299,0.8975,bicubic
dla169,+26,67.6100,-11.100,32.3900,87.5600,-6.778,12.4400,53.9900,224,0.8750,bilinear
gluon_inception_v3,+22,67.5900,-11.214,32.4100,87.4600,-6.920,12.5400,23.8300,299,0.8750,bicubic
hrnet_w40,+16,67.5900,-11.344,32.4100,87.1300,-7.336,12.8700,57.5600,224,0.8750,bilinear
gluon_resnet101_v1c,-7,67.5600,-11.984,32.4400,87.1600,-7.426,12.8400,44.5700,224,0.8750,bicubic
seresnet152,+25,67.5500,-11.108,32.4500,87.3900,-6.984,12.6100,66.8200,224,0.8750,bilinear
res2net50_26w_8s,+4,67.5300,-11.680,32.4700,87.2700,-7.092,12.7300,48.4000,224,0.8750,bilinear
tf_efficientnet_b1_ap,=,67.5200,-11.758,32.4800,87.7700,-6.538,12.2300,7.7900,240,0.8820,bicubic
tf_efficientnet_cc_b1_8e,-3,67.4800,-11.818,32.5200,87.3100,-7.054,12.6900,39.7200,240,0.8820,bicubic
gluon_resnet101_v1b,-5,67.4500,-11.854,32.5500,87.2300,-7.294,12.7700,44.5500,224,0.8750,bicubic
res2net101_26w_4s,+2,67.4500,-11.746,32.5500,87.0100,-7.430,12.9900,45.2100,224,0.8750,bilinear
resnet50,+6,67.4400,-11.592,32.5600,87.4200,-6.964,12.5800,25.5600,224,0.8750,bicubic
resnetblur50,-6,67.4400,-11.850,32.5600,87.4300,-7.202,12.5700,25.5600,224,0.8750,bicubic
resnest26d,+22,67.2100,-11.272,32.7900,87.1800,-7.110,12.8200,17.0700,224,0.8750,bilinear
efficientnet_b1,+14,67.1600,-11.538,32.8400,87.1500,-7.002,12.8500,7.7900,240,0.8750,bicubic
seresnet101,+26,67.1500,-11.246,32.8500,87.0500,-7.208,12.9500,49.3300,224,0.8750,bilinear
gluon_resnet50_v1s,+10,67.1000,-11.612,32.9000,86.8600,-7.382,13.1400,25.6800,224,0.8750,bicubic
dla60x,+26,67.0800,-11.162,32.9200,87.1700,-6.852,12.8300,17.6500,224,0.8750,bilinear
dla60_res2net,+18,67.0300,-11.442,32.9700,87.1400,-7.064,12.8600,21.1500,224,0.8750,bilinear
resnet152,+23,67.0200,-11.292,32.9800,87.5700,-6.476,12.4300,60.1900,224,0.8750,bilinear
dla102x,+13,67.0000,-11.508,33.0000,86.7700,-7.464,13.2300,26.7700,224,0.8750,bilinear
mixnet_l,-3,66.9700,-12.006,33.0300,86.9400,-7.244,13.0600,7.3300,224,0.8750,bicubic
res2net50_26w_6s,+10,66.9100,-11.664,33.0900,86.9000,-7.226,13.1000,37.0500,224,0.8750,bilinear
efficientnet_es,+26,66.8900,-11.164,33.1100,86.7300,-7.200,13.2700,5.4400,224,0.8750,bicubic
tf_efficientnet_b1,-1,66.8900,-11.942,33.1100,87.0400,-7.156,12.9600,7.7900,240,0.8820,bicubic
tf_efficientnet_em,+4,66.8700,-11.828,33.1300,86.9800,-7.340,13.0200,6.9000,240,0.8820,bicubic
hrnet_w32,+13,66.7900,-11.658,33.2100,87.2900,-6.898,12.7100,41.2300,224,0.8750,bilinear
tf_mixnet_l,-2,66.7800,-11.990,33.2200,86.4600,-7.544,13.5400,7.3300,224,0.8750,bicubic
hrnet_w30,+18,66.7600,-11.436,33.2400,86.7900,-7.430,13.2100,37.7100,224,0.8750,bilinear
selecsls60b,+11,66.7200,-11.698,33.2800,86.5400,-7.626,13.4600,32.7700,224,0.8750,bicubic
wide_resnet101_2,-8,66.6800,-12.166,33.3200,87.0400,-7.244,12.9600,126.8900,224,0.8750,bilinear
wide_resnet50_2,+6,66.6500,-11.818,33.3500,86.8100,-7.276,13.1900,68.8800,224,0.8750,bilinear
dla60_res2next,+6,66.6400,-11.808,33.3600,87.0200,-7.124,12.9800,17.3300,224,0.8750,bilinear
adv_inception_v3,+30,66.6000,-10.980,33.4000,86.5600,-7.164,13.4400,23.8300,299,0.8750,bicubic
dla102,+16,66.5500,-11.476,33.4500,86.9100,-7.040,13.0900,33.7300,224,0.8750,bilinear
gluon_resnet50_v1c,+16,66.5400,-11.470,33.4600,86.1600,-7.828,13.8400,25.5800,224,0.8750,bicubic
tf_inception_v3,+21,66.4200,-11.436,33.5800,86.6800,-6.964,13.3200,23.8300,299,0.8750,bicubic
efficientnet_b0,+22,66.2500,-11.442,33.7500,85.9500,-7.582,14.0500,5.2900,224,0.8750,bicubic
seresnet50,+22,66.2400,-11.396,33.7600,86.3300,-7.422,13.6700,28.0900,224,0.8750,bilinear
selecsls60,+15,66.2200,-11.762,33.7800,86.3300,-7.502,13.6700,30.6700,224,0.8750,bicubic
tf_efficientnet_cc_b0_8e,+16,66.2100,-11.698,33.7900,86.2200,-7.436,13.7800,24.0100,224,0.8750,bicubic
tv_resnext50_32x4d,+20,66.1800,-11.438,33.8200,86.0400,-7.658,13.9600,25.0300,224,0.8750,bilinear
res2net50_26w_4s,+13,66.1700,-11.776,33.8300,86.6000,-7.252,13.4000,25.7000,224,0.8750,bilinear
inception_v3,+25,66.1200,-11.316,33.8800,86.3400,-7.136,13.6600,23.8300,299,0.8750,bicubic
efficientnet_b1_pruned,=,66.0800,-12.162,33.9200,86.5800,-7.252,13.4200,6.3300,240,0.8820,bicubic
gluon_resnet50_v1b,+19,66.0400,-11.538,33.9600,86.2700,-7.448,13.7300,25.5600,224,0.8750,bicubic
res2net50_14w_8s,+2,66.0200,-12.132,33.9800,86.2400,-7.602,13.7600,25.0600,224,0.8750,bilinear
densenet161,+23,65.8500,-11.498,34.1500,86.4600,-7.188,13.5400,28.6800,224,0.8750,bicubic
res2next50,-3,65.8500,-12.392,34.1500,85.8300,-8.062,14.1700,24.6700,224,0.8750,bilinear
seresnext26tn_32x4d,+3,65.8500,-12.140,34.1500,85.6800,-8.068,14.3200,16.8100,224,0.8750,bicubic
skresnet34,+32,65.7700,-11.140,34.2300,85.9600,-7.356,14.0400,22.2800,224,0.8750,bicubic
resnet101,+18,65.6800,-11.694,34.3200,85.9800,-7.566,14.0200,44.5500,224,0.8750,bilinear
dpn68b,+13,65.6000,-11.914,34.4000,85.9400,-7.882,14.0600,12.6100,224,0.8750,bicubic
seresnext26t_32x4d,=,65.6000,-12.388,34.4000,86.0900,-7.616,13.9100,16.8200,224,0.8750,bicubic
selecsls42b,+22,65.5900,-11.586,34.4100,85.8300,-7.562,14.1700,32.4600,224,0.8750,bicubic
tf_efficientnet_b0_ap,+23,65.4900,-11.594,34.5100,85.5500,-7.704,14.4500,5.2900,224,0.8750,bicubic
seresnext26d_32x4d,+6,65.4200,-12.184,34.5800,85.9700,-7.642,14.0300,16.8100,224,0.8750,bicubic
tf_efficientnet_lite2,+10,65.3900,-12.070,34.6100,86.0300,-7.716,13.9700,6.0900,260,0.8900,bicubic
res2net50_48w_2s,+8,65.3200,-12.194,34.6800,85.9600,-7.588,14.0400,25.2900,224,0.8750,bilinear
densenetblur121d,+28,65.3000,-11.276,34.7000,85.7100,-7.480,14.2900,8.0000,224,0.8750,bicubic
densenet201,+13,65.2800,-12.010,34.7200,85.6700,-7.808,14.3300,20.0100,224,0.8750,bicubic
tf_efficientnet_es,+13,65.2400,-12.024,34.7600,85.5400,-8.060,14.4600,5.4400,224,0.8750,bicubic
dla60,+17,65.2200,-11.804,34.7800,85.7500,-7.558,14.2500,22.3300,224,0.8750,bilinear
tf_efficientnet_cc_b0_4e,+8,65.1300,-12.174,34.8700,85.1300,-8.202,14.8700,13.3100,224,0.8750,bicubic
mobilenetv2_120d,+8,65.0400,-12.254,34.9600,85.9900,-7.512,14.0100,5.8300,224,0.8750,bicubic
seresnext26_32x4d,+12,65.0400,-12.060,34.9600,85.6500,-7.660,14.3500,16.7900,224,0.8750,bicubic
hrnet_w18,+18,64.9100,-11.846,35.0900,85.7500,-7.692,14.2500,21.3000,224,0.8750,bilinear
densenet169,+26,64.7800,-11.132,35.2200,85.2500,-7.774,14.7500,14.1500,224,0.8750,bicubic
mixnet_m,+7,64.6900,-12.566,35.3100,85.4700,-7.948,14.5300,5.0100,224,0.8750,bicubic
resnet26d,+16,64.6300,-12.050,35.3700,85.1200,-8.046,14.8800,16.0100,224,0.8750,bicubic
tf_efficientnet_lite1,+16,64.3700,-12.268,35.6300,85.4900,-7.742,14.5100,5.4200,240,0.8820,bicubic
tf_efficientnet_b0,+12,64.2900,-12.550,35.7100,85.2500,-7.976,14.7500,5.2900,224,0.8750,bicubic
tf_mixnet_m,+8,64.2700,-12.680,35.7300,85.0900,-8.066,14.9100,5.0100,224,0.8750,bicubic
dpn68,+17,64.2200,-12.086,35.7800,85.1800,-7.790,14.8200,12.6100,224,0.8750,bicubic
mobilenetv2_140,+14,64.0500,-12.474,35.9500,85.0200,-7.970,14.9800,6.1100,224,0.8750,bicubic
densenet121,+22,63.7400,-11.834,36.2600,84.6300,-8.026,15.3700,7.9800,224,0.8750,bicubic
resnest14d,+23,63.6000,-11.904,36.4000,84.2200,-8.294,15.7800,10.6100,224,0.8750,bilinear
tf_mixnet_s,+18,63.5900,-12.058,36.4100,84.2700,-8.366,15.7300,4.1300,224,0.8750,bicubic
resnet26,+23,63.4500,-11.842,36.5500,84.2700,-8.300,15.7300,16.0000,224,0.8750,bicubic
mixnet_s,+13,63.3800,-12.608,36.6200,84.7100,-8.084,15.2900,4.1300,224,0.8750,bicubic
mobilenetv3_large_100,+14,63.3600,-12.408,36.6400,84.0800,-8.460,15.9200,5.4800,224,0.8750,bicubic
tv_resnet50,+10,63.3300,-12.800,36.6700,84.6500,-8.212,15.3500,25.5600,224,0.8750,bilinear
mobilenetv3_rw,+14,63.2300,-12.398,36.7700,84.5200,-8.190,15.4800,5.4800,224,0.8750,bicubic
semnasnet_100,+17,63.1200,-12.336,36.8800,84.5300,-8.062,15.4700,3.8900,224,0.8750,bicubic
tv_densenet121,+26,62.9400,-11.812,37.0600,84.2600,-7.892,15.7400,7.9800,224,0.8750,bicubic
seresnet34,+24,62.8900,-11.918,37.1100,84.2200,-7.906,15.7800,21.9600,224,0.8750,bilinear
hrnet_w18_small_v2,+17,62.8300,-12.296,37.1700,83.9700,-8.446,16.0300,15.6000,224,0.8750,bilinear
mobilenetv2_110d,+19,62.8200,-12.232,37.1800,84.4800,-7.700,15.5200,4.5200,224,0.8750,bicubic
resnet34,+17,62.8200,-12.292,37.1800,84.1200,-8.168,15.8800,21.8000,224,0.8750,bilinear
swsl_resnet18,+30,62.7300,-10.556,37.2700,84.3000,-7.432,15.7000,11.6900,224,0.8750,bilinear
tf_efficientnet_lite0,+18,62.5800,-12.262,37.4200,84.2500,-7.920,15.7500,4.6500,224,0.8750,bicubic
gluon_resnet34_v1b,+22,62.5600,-12.020,37.4400,84.0000,-7.988,16.0000,21.8000,224,0.8750,bicubic
dla34,+20,62.5100,-12.126,37.4900,83.9200,-8.144,16.0800,15.7800,224,0.8750,bilinear
tf_mobilenetv3_large_100,+5,62.4700,-13.046,37.5300,83.9600,-8.640,16.0400,5.4800,224,0.8750,bilinear
fbnetc_100,+10,62.4300,-12.690,37.5700,83.3900,-8.996,16.6100,5.5700,224,0.8750,bilinear
mnasnet_100,+16,61.9100,-12.746,38.0900,83.7100,-8.416,16.2900,4.3800,224,0.8750,bicubic
ssl_resnet18,+26,61.4900,-11.110,38.5100,83.3300,-8.086,16.6700,11.6900,224,0.8750,bilinear
spnasnet_100,+17,61.2100,-12.870,38.7900,82.7700,-9.062,17.2300,4.4200,224,0.8750,bilinear
tv_resnet34,+20,61.2000,-12.114,38.8000,82.7200,-8.700,17.2800,21.8000,224,0.8750,bilinear
skresnet18,+21,60.8500,-12.194,39.1500,82.8800,-8.298,17.1200,11.9600,224,0.8750,bicubic
tf_mobilenetv3_large_075,+17,60.3800,-13.062,39.6200,81.9600,-9.392,18.0400,3.9900,224,0.8750,bilinear
mobilenetv2_100,+20,60.1600,-12.818,39.8400,82.2400,-8.776,17.7600,3.5000,224,0.8750,bicubic
seresnet18,+24,59.8100,-11.948,40.1900,81.6800,-8.654,18.3200,11.7800,224,0.8750,bicubic
tf_mobilenetv3_large_minimal_100,+22,59.0700,-13.174,40.9300,81.1400,-9.496,18.8600,3.9200,224,0.8750,bilinear
hrnet_w18_small,+20,58.9700,-13.372,41.0300,81.3400,-9.332,18.6600,13.1900,224,0.8750,bilinear
gluon_resnet18_v1b,+22,58.3200,-12.510,41.6800,80.9600,-8.796,19.0400,11.6900,224,0.8750,bicubic
resnet18,+23,57.1800,-12.578,42.8200,80.1900,-8.888,19.8100,11.6900,224,0.8750,bilinear
dla60x_c,+25,56.0200,-11.888,43.9800,78.9600,-9.474,21.0400,1.3400,224,0.8750,bilinear
tf_mobilenetv3_small_100,+23,54.5100,-13.408,45.4900,77.0800,-10.582,22.9200,2.5400,224,0.8750,bilinear
dla46x_c,+24,53.0800,-12.900,46.9200,76.8400,-10.140,23.1600,1.0800,224,0.8750,bilinear
dla46_c,+25,52.2000,-12.678,47.8000,75.6800,-10.606,24.3200,1.3100,224,0.8750,bilinear
tf_mobilenetv3_small_075,+23,52.1500,-13.568,47.8500,75.4600,-10.676,24.5400,2.0400,224,0.8750,bilinear
tf_mobilenetv3_small_minimal_100,+24,49.5300,-13.368,50.4700,73.0500,-11.180,26.9500,2.0400,224,0.8750,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 80.47 80.4700 -7.764 19.53 19.5300 95.73 95.7300 -2.816 4.27 4.2700 480.31 480.3100 475 0.936 0.9360 bicubic
3 tf_efficientnet_l2_ns -1 80.25 80.2500 -8.102 19.75 19.7500 95.85 95.8500 -2.798 4.15 4.1500 480.31 480.3100 800 0.96 0.9600 bicubic
4 tf_efficientnet_b7_ns = 78.52 78.5200 -8.318 21.48 21.4800 94.37 94.3700 -3.724 5.63 5.6300 66.35 66.3500 600 0.949 0.9490 bicubic
5 tf_efficientnet_b6_ns = 77.28 77.2800 -9.182 22.72 22.7200 93.89 93.8900 -3.994 6.11 6.1100 43.04 43.0400 528 0.942 0.9420 bicubic
6 ig_resnext101_32x48d +1 76.87 76.8700 -8.572 23.13 23.1300 93.32 93.3200 -4.252 6.68 6.6800 828.41 828.4100 224 0.875 0.8750 bilinear
7 ig_resnext101_32x32d +5 76.84 76.8400 -8.252 23.16 23.1600 93.19 93.1900 -4.246 6.81 6.8100 468.53 468.5300 224 0.875 0.8750 bilinear
8 tf_efficientnet_b5_ns -2 76.82 76.8200 -9.260 23.18 23.1800 93.58 93.5800 -4.174 6.42 6.4200 30.39 30.3900 456 0.934 0.9340 bicubic
9 tf_efficientnet_b7_ap +2 76.09 76.0900 -9.028 23.91 23.9100 92.97 92.9700 -4.282 7.03 7.0300 66.35 66.3500 600 0.949 0.9490 bicubic
10 tf_efficientnet_b8_ap -1 76.09 76.0900 -9.278 23.91 23.9100 92.73 92.7300 -4.564 7.27 7.2700 87.41 87.4100 672 0.954 0.9540 bicubic
11 ig_resnext101_32x16d +7 75.71 75.7100 -8.466 24.29 24.2900 92.9 92.9000 -4.296 7.1 7.1000 194.03 194.0300 224 0.875 0.8750 bilinear
12 tf_efficientnet_b4_ns -2 75.69 75.6900 -9.468 24.31 24.3100 93.04 93.0400 -4.428 6.96 6.9600 19.34 19.3400 380 0.922 0.9220 bicubic
13 swsl_resnext101_32x8d +2 75.45 75.4500 -8.844 24.55 24.5500 92.75 92.7500 -4.424 7.25 7.2500 88.79 88.7900 224 0.875 0.8750 bilinear
14 tf_efficientnet_b6_ap = 75.38 75.3800 -9.406 24.62 24.6200 92.44 92.4400 -4.698 7.56 7.5600 43.04 43.0400 528 0.942 0.9420 bicubic
15 tf_efficientnet_b8 -7 74.93 74.9300 -10.440 25.07 25.0700 92.32 92.3200 -5.072 7.68 7.6800 87.41 87.4100 672 0.954 0.9540 bicubic
16 tf_efficientnet_b7 -3 74.72 74.7200 -10.212 25.28 25.2800 92.22 92.2200 -4.988 7.78 7.7800 66.35 66.3500 600 0.949 0.9490 bicubic
17 tf_efficientnet_b5_ap -1 74.59 74.5900 -9.664 25.41 25.4100 91.99 91.9900 -4.986 8.01 8.0100 30.39 30.3900 456 0.934 0.9340 bicubic
18 swsl_resnext101_32x4d +7 74.15 74.1500 -9.084 25.85 25.8500 91.99 91.9900 -4.766 8.01 8.0100 44.18 44.1800 224 0.875 0.8750 bilinear
19 swsl_resnext101_32x16d +4 74.01 74.0100 -9.328 25.99 25.9900 92.17 92.1700 -4.682 7.83 7.8300 194.03 194.0300 224 0.875 0.8750 bilinear
20 resnest200e +1 73.93 73.9300 -9.904 26.07 26.0700 91.58 91.5800 -5.258 8.42 8.4200 70.2 70.2000 320 0.875 0.8750 bilinear
21 tf_efficientnet_b6 -2 73.9 73.9000 -10.212 26.1 26.1000 91.75 91.7500 -5.134 8.25 8.2500 43.04 43.0400 528 0.942 0.9420 bicubic
22 tf_efficientnet_b3_ns -2 73.87 73.8700 -10.184 26.13 26.1300 91.86 91.8600 -5.052 8.14 8.1400 12.23 12.2300 300 0.904 0.9040 bicubic
23 ig_resnext101_32x8d +7 73.66 73.6600 -9.028 26.34 26.3400 92.15 92.1500 -4.482 7.85 7.8500 88.79 88.7900 224 0.875 0.8750 bilinear
24 tf_efficientnet_b5 -2 73.54 73.5400 -10.276 26.46 26.4600 91.46 91.4600 -5.290 8.54 8.5400 30.39 30.3900 456 0.934 0.9340 bicubic
25 resnest269e -8 73.46 73.4600 -10.726 26.54 26.5400 91.68 91.6800 -5.242 8.32 8.3200 110.93 110.9300 416 0.875 0.8750 bilinear
26 tf_efficientnet_b4_ap -2 72.89 72.8900 -10.358 27.11 27.1100 90.98 90.9800 -5.408 9.02 9.0200 19.34 19.3400 380 0.922 0.9220 bicubic
27 swsl_resnext50_32x4d +7 72.58 72.5800 -9.600 27.42 27.4200 90.84 90.8400 -5.388 9.16 9.1600 25.03 25.0300 224 0.875 0.8750 bilinear
28 resnest101e = 72.55 72.5500 -10.340 27.45 27.4500 90.81 90.8100 -5.514 9.19 9.1900 48.28 48.2800 256 0.875 0.8750 bilinear
29 tresnet_xl_448 -3 72.55 72.5500 -10.498 27.45 27.4500 90.31 90.3100 -5.864 9.69 9.6900 78.44 78.4400 448 0.875 0.8750 bilinear
30 pnasnet5large -1 72.37 72.3700 -10.370 27.63 27.6300 90.26 90.2600 -5.780 9.74 9.7400 86.06 86.0600 331 0.875 0.8750 bicubic
31 nasnetalarge = 72.31 72.3100 -10.248 27.69 27.6900 90.51 90.5100 -5.526 9.49 9.4900 88.75 88.7500 331 0.875 0.8750 bicubic
32 tf_efficientnet_b4 -5 72.28 72.2800 -10.736 27.72 27.7200 90.6 90.6000 -5.698 9.4 9.4000 19.34 19.3400 380 0.922 0.9220 bicubic
33 tf_efficientnet_b2_ns -1 72.27 72.2700 -10.110 27.73 27.7300 91.09 91.0900 -5.162 8.91 8.9100 9.11 9.1100 260 0.89 0.8900 bicubic
34 swsl_resnet50 +15 71.69 71.6900 -9.490 28.31 28.3100 90.51 90.5100 -5.476 9.49 9.4900 25.56 25.5600 224 0.875 0.8750 bilinear
35 tresnet_xl +1 71.65 71.6500 -10.420 28.35 28.3500 89.63 89.6300 -6.298 10.37 10.3700 78.44 78.4400 224 0.875 0.8750 bilinear
36 tresnet_l_448 -3 71.6 71.6000 -10.668 28.4 28.4000 90.06 90.0600 -5.918 9.94 9.9400 55.99 55.9900 448 0.875 0.8750 bilinear
37 ecaresnet101d -2 71.5 71.5000 -10.666 28.5 28.5000 90.31 90.3100 -5.742 9.69 9.6900 44.57 44.5700 224 0.875 0.8750 bicubic
38 ssl_resnext101_32x8d +4 71.49 71.4900 -10.136 28.51 28.5100 90.47 90.4700 -5.568 9.53 9.5300 88.79 88.7900 224 0.875 0.8750 bilinear
39 ssl_resnext101_32x16d -1 71.4 71.4000 -10.436 28.6 28.6000 90.55 90.5500 -5.544 9.45 9.4500 194.03 194.0300 224 0.875 0.8750 bilinear
40 tresnet_m_448 = 71.0 71.0000 -10.712 29.0 29.0000 88.68 88.6800 -6.890 11.32 11.3200 31.39 31.3900 448 0.875 0.8750 bilinear
41 resnest50d_4s2x40d +9 70.94 70.9400 -10.174 29.06 29.0600 89.71 89.7100 -5.858 10.29 10.2900 30.42 30.4200 224 0.875 0.8750 bicubic
42 tf_efficientnet_b3_ap -3 70.92 70.9200 -10.908 29.08 29.0800 89.43 89.4300 -6.194 10.57 10.5700 12.23 12.2300 300 0.904 0.9040 bicubic
43 efficientnet_b3a -6 70.87 70.8700 -11.004 29.13 29.1300 89.72 89.7200 -6.120 10.28 10.2800 12.23 12.2300 320 1.0 1.0000 bicubic
44 tf_efficientnet_b1_ns +2 70.85 70.8500 -10.536 29.15 29.1500 90.11 90.1100 -5.628 9.89 9.8900 7.79 7.7900 240 0.882 0.8820 bicubic
45 tresnet_l = 70.83 70.8300 -10.658 29.17 29.1700 89.61 89.6100 -6.018 10.39 10.3900 55.99 55.9900 224 0.875 0.8750 bilinear
46 efficientnet_b3 -2 70.76 70.7600 -10.738 29.24 29.2400 89.84 89.8400 -5.878 10.16 10.1600 12.23 12.2300 300 0.904 0.9040 bicubic
47 tf_efficientnet_b3 -6 70.62 70.6200 -11.020 29.38 29.3800 89.44 89.4400 -6.282 10.56 10.5600 12.23 12.2300 300 0.904 0.9040 bicubic
48 gluon_senet154 = 70.6 70.6000 -10.624 29.4 29.4000 88.92 88.9200 -6.436 11.08 11.0800 115.09 115.0900 224 0.875 0.8750 bicubic
49 ssl_resnext101_32x4d +5 70.5 70.5000 -10.428 29.5 29.5000 89.76 89.7600 -5.968 10.24 10.2400 44.18 44.1800 224 0.875 0.8750 bilinear
50 senet154 -3 70.48 70.4800 -10.824 29.52 29.5200 88.99 88.9900 -6.508 11.01 11.0100 115.09 115.0900 224 0.875 0.8750 bilinear
51 gluon_seresnext101_64x4d +5 70.44 70.4400 -10.450 29.56 29.5600 89.35 89.3500 -5.954 10.65 10.6500 88.23 88.2300 224 0.875 0.8750 bicubic
52 resnest50d_1s4x24d = 70.43 70.4300 -10.560 29.57 29.5700 89.24 89.2400 -6.082 10.76 10.7600 25.68 25.6800 224 0.875 0.8750 bicubic
53 tf_efficientnet_lite4 -10 70.43 70.4300 -11.098 29.57 29.5700 89.12 89.1200 -6.548 10.88 10.8800 13.01 13.0100 380 0.92 0.9200 bilinear
54 resnest50d -1 70.42 70.4200 -10.538 29.58 29.5800 88.76 88.7600 -6.622 11.24 11.2400 27.48 27.4800 224 0.875 0.8750 bilinear
55 gluon_resnet152_v1s -4 70.32 70.3200 -10.692 29.68 29.6800 88.87 88.8700 -6.546 11.13 11.1300 60.32 60.3200 224 0.875 0.8750 bicubic
56 ecaresnet101d_pruned +3 70.12 70.1200 -10.688 29.88 29.8800 89.58 89.5800 -6.048 10.42 10.4200 24.88 24.8800 224 0.875 0.8750 bicubic
57 inception_resnet_v2 +9 70.12 70.1200 -10.340 29.88 29.8800 88.68 88.6800 -6.630 11.32 11.3200 55.84 55.8400 299 0.8975 bicubic
58 gluon_seresnext101_32x4d -3 70.01 70.0100 -10.892 29.99 29.9900 88.91 88.9100 -6.384 11.09 11.0900 48.96 48.9600 224 0.875 0.8750 bicubic
59 gluon_resnet152_v1d +6 69.95 69.9500 -10.520 30.05 30.0500 88.47 88.4700 -6.736 11.53 11.5300 60.21 60.2100 224 0.875 0.8750 bicubic
60 ecaresnet50d +2 69.83 69.8300 -10.774 30.17 30.1700 89.37 89.3700 -5.952 10.63 10.6300 25.58 25.5800 224 0.875 0.8750 bicubic
61 gluon_resnext101_64x4d +2 69.69 69.6900 -10.912 30.31 30.3100 88.26 88.2600 -6.734 11.74 11.7400 83.46 83.4600 224 0.875 0.8750 bicubic
62 ssl_resnext50_32x4d +11 69.69 69.6900 -10.638 30.31 30.3100 89.42 89.4200 -5.984 10.58 10.5800 25.03 25.0300 224 0.875 0.8750 bilinear
63 tresnet_m -3 69.65 69.6500 -11.146 30.35 30.3500 88.0 88.0000 -6.856 12.0 12.0000 31.39 31.3900 224 0.875 0.8750 bilinear
64 efficientnet_b3_pruned -7 69.58 69.5800 -11.276 30.42 30.4200 88.97 88.9700 -6.270 11.03 11.0300 9.86 9.8600 300 0.904 0.9040 bicubic
65 ens_adv_inception_resnet_v2 +19 69.52 69.5200 -10.456 30.48 30.4800 88.5 88.5000 -6.446 11.5 11.5000 55.84 55.8400 299 0.8975 bicubic
66 efficientnet_b2a -5 69.49 69.4900 -11.118 30.51 30.5100 88.68 88.6800 -6.630 11.32 11.3200 9.11 9.1100 288 1.0 1.0000 bicubic
67 inception_v4 +13 69.35 69.3500 -10.806 30.65 30.6500 88.78 88.7800 -6.194 11.22 11.2200 42.68 42.6800 299 0.875 0.8750 bicubic
68 seresnext101_32x4d +10 69.34 69.3400 -10.896 30.66 30.6600 88.05 88.0500 -6.978 11.95 11.9500 48.96 48.9600 224 0.875 0.8750 bilinear
69 ecaresnetlight -2 69.33 69.3300 -11.124 30.67 30.6700 89.22 89.2200 -6.036 10.78 10.7800 30.16 30.1600 224 0.875 0.8750 bicubic
70 gluon_resnet152_v1c +16 69.13 69.1300 -10.786 30.87 30.8700 87.89 87.8900 -6.952 12.11 12.1100 60.21 60.2100 224 0.875 0.8750 bicubic
71 mixnet_xl -7 69.08 69.0800 -11.398 30.92 30.9200 88.31 88.3100 -6.622 11.69 11.6900 11.9 11.9000 224 0.875 0.8750 bicubic
72 efficientnet_b2 -2 69.0 69.0000 -11.402 31.0 31.0000 88.62 88.6200 -6.456 11.38 11.3800 9.11 9.1100 260 0.875 0.8750 bicubic
73 gluon_resnet101_v1d -4 68.99 68.9900 -11.434 31.01 31.0100 88.08 88.0800 -6.940 11.92 11.9200 44.57 44.5700 224 0.875 0.8750 bicubic
74 gluon_xception65 +24 68.98 68.9800 -10.624 31.02 31.0200 88.32 88.3200 -6.428 11.68 11.6800 39.92 39.9200 299 0.875 0.8750 bicubic
75 gluon_resnext101_32x4d -3 68.96 68.9600 -11.374 31.04 31.0400 88.34 88.3400 -6.586 11.66 11.6600 44.18 44.1800 224 0.875 0.8750 bicubic
76 tf_efficientnet_b2_ap -2 68.93 68.9300 -11.376 31.07 31.0700 88.34 88.3400 -6.688 11.66 11.6600 9.11 9.1100 260 0.89 0.8900 bicubic
77 gluon_resnet152_v1b +18 68.81 68.8100 -10.882 31.19 31.1900 87.71 87.7100 -7.028 12.29 12.2900 60.19 60.1900 224 0.875 0.8750 bicubic
78 dpn131 +12 68.76 68.7600 -11.068 31.24 31.2400 87.48 87.4800 -7.224 12.52 12.5200 79.25 79.2500 224 0.875 0.8750 bicubic
79 resnext50d_32x4d +17 68.75 68.7500 -10.924 31.25 31.2500 88.31 88.3100 -6.558 11.69 11.6900 25.05 25.0500 224 0.875 0.8750 bicubic
80 tf_efficientnet_b2 +2 68.75 68.7500 -11.340 31.25 31.2500 87.95 87.9500 -6.956 12.05 12.0500 9.11 9.1100 260 0.89 0.8900 bicubic
81 gluon_resnet101_v1s -6 68.72 68.7200 -11.580 31.28 31.2800 87.9 87.9000 -7.250 12.1 12.1000 44.67 44.6700 224 0.875 0.8750 bicubic
82 dpn107 -3 68.71 68.7100 -11.454 31.29 31.2900 88.13 88.1300 -6.782 11.87 11.8700 86.92 86.9200 224 0.875 0.8750 bicubic
83 gluon_seresnext50_32x4d +4 68.67 68.6700 -11.242 31.33 31.3300 88.32 88.3200 -6.498 11.68 11.6800 27.56 27.5600 224 0.875 0.8750 bicubic
84 hrnet_w64 +17 68.63 68.6300 -10.842 31.37 31.3700 88.07 88.0700 -6.580 11.93 11.9300 128.06 128.0600 224 0.875 0.8750 bilinear
85 resnext50_32x4d +7 68.61 68.6100 -11.152 31.39 31.3900 87.57 87.5700 -7.030 12.43 12.4300 25.03 25.0300 224 0.875 0.8750 bicubic
86 dpn98 +11 68.58 68.5800 -11.056 31.42 31.4200 87.66 87.6600 -6.934 12.34 12.3400 61.57 61.5700 224 0.875 0.8750 bicubic
87 ssl_resnet50 +24 68.42 68.4200 -10.808 31.58 31.5800 88.58 88.5800 -6.252 11.42 11.4200 25.56 25.5600 224 0.875 0.8750 bilinear
88 ecaresnet50d_pruned +5 68.39 68.3900 -11.328 31.61 31.6100 88.37 88.3700 -6.520 11.63 11.6300 19.94 19.9400 224 0.875 0.8750 bicubic
89 skresnext50_32x4d -8 68.39 68.3900 -11.760 31.61 31.6100 87.59 87.5900 -7.054 12.41 12.4100 27.48 27.4800 224 0.875 0.8750 bicubic
90 dla102x2 +12 68.34 68.3400 -11.112 31.66 31.6600 87.87 87.8700 -6.774 12.13 12.1300 41.75 41.7500 224 0.875 0.8750 bilinear
91 efficientnet_b2_pruned -6 68.3 68.3000 -11.618 31.7 31.7000 88.1 88.1000 -6.748 11.9 11.9000 8.31 8.3100 260 0.89 0.8900 bicubic
92 gluon_resnext50_32x4d +11 68.28 68.2800 -11.076 31.72 31.7200 87.32 87.3200 -7.104 12.68 12.6800 25.03 25.0300 224 0.875 0.8750 bicubic
93 tf_efficientnet_lite3 -2 68.23 68.2300 -11.582 31.77 31.7700 87.72 87.7200 -7.194 12.28 12.2800 8.2 8.2000 300 0.904 0.9040 bilinear
94 ese_vovnet39b +10 68.19 68.1900 -11.130 31.81 31.8100 88.26 88.2600 -6.450 11.74 11.7400 24.57 24.5700 224 0.875 0.8750 bicubic
95 tf_efficientnet_el -27 68.18 68.1800 -12.268 31.82 31.8200 88.35 88.3500 -6.810 11.65 11.6500 10.59 10.5900 300 0.904 0.9040 bicubic
96 dpn92 -13 68.01 68.0100 -12.006 31.99 31.9900 87.59 87.5900 -7.248 12.41 12.4100 37.67 37.6700 224 0.875 0.8750 bicubic
97 gluon_resnet50_v1d +20 67.91 67.9100 -11.164 32.09 32.0900 87.12 87.1200 -7.356 12.88 12.8800 25.58 25.5800 224 0.875 0.8750 bicubic
98 seresnext50_32x4d +18 67.87 67.8700 -11.206 32.13 32.1300 87.62 87.6200 -6.814 12.38 12.3800 27.56 27.5600 224 0.875 0.8750 bilinear
99 resnext101_32x8d +6 67.85 67.8500 -11.462 32.15 32.1500 87.48 87.4800 -7.046 12.52 12.5200 88.79 88.7900 224 0.875 0.8750 bilinear
100 hrnet_w44 +23 67.77 67.7700 -11.124 32.23 32.2300 87.53 87.5300 -6.840 12.47 12.4700 67.06 67.0600 224 0.875 0.8750 bilinear
101 hrnet_w48 +5 67.77 67.7700 -11.540 32.23 32.2300 87.42 87.4200 -7.098 12.58 12.5800 77.47 77.4700 224 0.875 0.8750 bilinear
102 tf_efficientnet_b0_ns +32 67.72 67.7200 -10.932 32.28 32.2800 88.08 88.0800 -6.288 11.92 11.9200 5.29 5.2900 224 0.875 0.8750 bicubic
103 xception +16 67.67 67.6700 -11.378 32.33 32.3300 87.57 87.5700 -6.822 12.43 12.4300 22.86 22.8600 299 0.8975 bicubic
104 dla169 +26 67.61 67.6100 -11.100 32.39 32.3900 87.56 87.5600 -6.778 12.44 12.4400 53.99 53.9900 224 0.875 0.8750 bilinear
105 gluon_inception_v3 +22 67.59 67.5900 -11.214 32.41 32.4100 87.46 87.4600 -6.920 12.54 12.5400 23.83 23.8300 299 0.875 0.8750 bicubic
106 hrnet_w40 +16 67.59 67.5900 -11.344 32.41 32.4100 87.13 87.1300 -7.336 12.87 12.8700 57.56 57.5600 224 0.875 0.8750 bilinear
107 gluon_resnet101_v1c -7 67.56 67.5600 -11.984 32.44 32.4400 87.16 87.1600 -7.426 12.84 12.8400 44.57 44.5700 224 0.875 0.8750 bicubic
108 seresnet152 +25 67.55 67.5500 -11.108 32.45 32.4500 87.39 87.3900 -6.984 12.61 12.6100 66.82 66.8200 224 0.875 0.8750 bilinear
109 res2net50_26w_8s +4 67.53 67.5300 -11.680 32.47 32.4700 87.27 87.2700 -7.092 12.73 12.7300 48.4 48.4000 224 0.875 0.8750 bilinear
110 tf_efficientnet_b1_ap = 67.52 67.5200 -11.758 32.48 32.4800 87.77 87.7700 -6.538 12.23 12.2300 7.79 7.7900 240 0.882 0.8820 bicubic
111 tf_efficientnet_cc_b1_8e -3 67.48 67.4800 -11.818 32.52 32.5200 87.31 87.3100 -7.054 12.69 12.6900 39.72 39.7200 240 0.882 0.8820 bicubic
112 gluon_resnet101_v1b -5 67.45 67.4500 -11.854 32.55 32.5500 87.23 87.2300 -7.294 12.77 12.7700 44.55 44.5500 224 0.875 0.8750 bicubic
113 res2net101_26w_4s +2 67.45 67.4500 -11.746 32.55 32.5500 87.01 87.0100 -7.430 12.99 12.9900 45.21 45.2100 224 0.875 0.8750 bilinear
114 resnet50 +6 67.44 67.4400 -11.592 32.56 32.5600 87.42 87.4200 -6.964 12.58 12.5800 25.56 25.5600 224 0.875 0.8750 bicubic
115 resnetblur50 -6 67.44 67.4400 -11.850 32.56 32.5600 87.43 87.4300 -7.202 12.57 12.5700 25.56 25.5600 224 0.875 0.8750 bicubic
116 resnest26d +22 67.21 67.2100 -11.272 32.79 32.7900 87.18 87.1800 -7.110 12.82 12.8200 17.07 17.0700 224 0.875 0.8750 bilinear
117 efficientnet_b1 +14 67.16 67.1600 -11.538 32.84 32.8400 87.15 87.1500 -7.002 12.85 12.8500 7.79 7.7900 240 0.875 0.8750 bicubic
118 seresnet101 +26 67.15 67.1500 -11.246 32.85 32.8500 87.05 87.0500 -7.208 12.95 12.9500 49.33 49.3300 224 0.875 0.8750 bilinear
119 gluon_resnet50_v1s +10 67.1 67.1000 -11.612 32.9 32.9000 86.86 86.8600 -7.382 13.14 13.1400 25.68 25.6800 224 0.875 0.8750 bicubic
120 dla60x +26 67.08 67.0800 -11.162 32.92 32.9200 87.17 87.1700 -6.852 12.83 12.8300 17.65 17.6500 224 0.875 0.8750 bilinear
121 dla60_res2net +18 67.03 67.0300 -11.442 32.97 32.9700 87.14 87.1400 -7.064 12.86 12.8600 21.15 21.1500 224 0.875 0.8750 bilinear
122 resnet152 +23 67.02 67.0200 -11.292 32.98 32.9800 87.57 87.5700 -6.476 12.43 12.4300 60.19 60.1900 224 0.875 0.8750 bilinear
123 dla102x +13 67.0 67.0000 -11.508 33.0 33.0000 86.77 86.7700 -7.464 13.23 13.2300 26.77 26.7700 224 0.875 0.8750 bilinear
124 mixnet_l -3 66.97 66.9700 -12.006 33.03 33.0300 86.94 86.9400 -7.244 13.06 13.0600 7.33 7.3300 224 0.875 0.8750 bicubic
125 res2net50_26w_6s +10 66.91 66.9100 -11.664 33.09 33.0900 86.9 86.9000 -7.226 13.1 13.1000 37.05 37.0500 224 0.875 0.8750 bilinear
126 efficientnet_es +26 66.89 66.8900 -11.164 33.11 33.1100 86.73 86.7300 -7.200 13.27 13.2700 5.44 5.4400 224 0.875 0.8750 bicubic
127 tf_efficientnet_b1 -1 66.89 66.8900 -11.942 33.11 33.1100 87.04 87.0400 -7.156 12.96 12.9600 7.79 7.7900 240 0.882 0.8820 bicubic
128 tf_efficientnet_em +4 66.87 66.8700 -11.828 33.13 33.1300 86.98 86.9800 -7.340 13.02 13.0200 6.9 6.9000 240 0.882 0.8820 bicubic
129 hrnet_w32 +13 66.79 66.7900 -11.658 33.21 33.2100 87.29 87.2900 -6.898 12.71 12.7100 41.23 41.2300 224 0.875 0.8750 bilinear
130 tf_mixnet_l -2 66.78 66.7800 -11.990 33.22 33.2200 86.46 86.4600 -7.544 13.54 13.5400 7.33 7.3300 224 0.875 0.8750 bicubic
131 hrnet_w30 +18 66.76 66.7600 -11.436 33.24 33.2400 86.79 86.7900 -7.430 13.21 13.2100 37.71 37.7100 224 0.875 0.8750 bilinear
132 selecsls60b +11 66.72 66.7200 -11.698 33.28 33.2800 86.54 86.5400 -7.626 13.46 13.4600 32.77 32.7700 224 0.875 0.8750 bicubic
133 wide_resnet101_2 -8 66.68 66.6800 -12.166 33.32 33.3200 87.04 87.0400 -7.244 12.96 12.9600 126.89 126.8900 224 0.875 0.8750 bilinear
134 wide_resnet50_2 +6 66.65 66.6500 -11.818 33.35 33.3500 86.81 86.8100 -7.276 13.19 13.1900 68.88 68.8800 224 0.875 0.8750 bilinear
135 dla60_res2next +6 66.64 66.6400 -11.808 33.36 33.3600 87.02 87.0200 -7.124 12.98 12.9800 17.33 17.3300 224 0.875 0.8750 bilinear
136 adv_inception_v3 +30 66.6 66.6000 -10.980 33.4 33.4000 86.56 86.5600 -7.164 13.44 13.4400 23.83 23.8300 299 0.875 0.8750 bicubic
137 dla102 +16 66.55 66.5500 -11.476 33.45 33.4500 86.91 86.9100 -7.040 13.09 13.0900 33.73 33.7300 224 0.875 0.8750 bilinear
138 gluon_resnet50_v1c +16 66.54 66.5400 -11.470 33.46 33.4600 86.16 86.1600 -7.828 13.84 13.8400 25.58 25.5800 224 0.875 0.8750 bicubic
139 tf_inception_v3 +21 66.42 66.4200 -11.436 33.58 33.5800 86.68 86.6800 -6.964 13.32 13.3200 23.83 23.8300 299 0.875 0.8750 bicubic
140 efficientnet_b0 +22 66.25 66.2500 -11.442 33.75 33.7500 85.95 85.9500 -7.582 14.05 14.0500 5.29 5.2900 224 0.875 0.8750 bicubic
141 seresnet50 +22 66.24 66.2400 -11.396 33.76 33.7600 86.33 86.3300 -7.422 13.67 13.6700 28.09 28.0900 224 0.875 0.8750 bilinear
142 selecsls60 +15 66.22 66.2200 -11.762 33.78 33.7800 86.33 86.3300 -7.502 13.67 13.6700 30.67 30.6700 224 0.875 0.8750 bicubic
143 tf_efficientnet_cc_b0_8e +16 66.21 66.2100 -11.698 33.79 33.7900 86.22 86.2200 -7.436 13.78 13.7800 24.01 24.0100 224 0.875 0.8750 bicubic
144 tv_resnext50_32x4d +20 66.18 66.1800 -11.438 33.82 33.8200 86.04 86.0400 -7.658 13.96 13.9600 25.03 25.0300 224 0.875 0.8750 bilinear
145 res2net50_26w_4s +13 66.17 66.1700 -11.776 33.83 33.8300 86.6 86.6000 -7.252 13.4 13.4000 25.7 25.7000 224 0.875 0.8750 bilinear
146 inception_v3 +25 66.12 66.1200 -11.316 33.88 33.8800 86.34 86.3400 -7.136 13.66 13.6600 23.83 23.8300 299 0.875 0.8750 bicubic
147 efficientnet_b1_pruned = 66.08 66.0800 -12.162 33.92 33.9200 86.58 86.5800 -7.252 13.42 13.4200 6.33 6.3300 240 0.882 0.8820 bicubic
148 gluon_resnet50_v1b +19 66.04 66.0400 -11.538 33.96 33.9600 86.27 86.2700 -7.448 13.73 13.7300 25.56 25.5600 224 0.875 0.8750 bicubic
149 res2net50_14w_8s +2 66.02 66.0200 -12.132 33.98 33.9800 86.24 86.2400 -7.602 13.76 13.7600 25.06 25.0600 224 0.875 0.8750 bilinear
150 densenet161 +23 65.85 65.8500 -11.498 34.15 34.1500 86.46 86.4600 -7.188 13.54 13.5400 28.68 28.6800 224 0.875 0.8750 bicubic
151 res2next50 -3 65.85 65.8500 -12.392 34.15 34.1500 85.83 85.8300 -8.062 14.17 14.1700 24.67 24.6700 224 0.875 0.8750 bilinear
152 seresnext26tn_32x4d +3 65.85 65.8500 -12.140 34.15 34.1500 85.68 85.6800 -8.068 14.32 14.3200 16.81 16.8100 224 0.875 0.8750 bicubic
153 skresnet34 +32 65.77 65.7700 -11.140 34.23 34.2300 85.96 85.9600 -7.356 14.04 14.0400 22.28 22.2800 224 0.875 0.8750 bicubic
154 resnet101 +18 65.68 65.6800 -11.694 34.32 34.3200 85.98 85.9800 -7.566 14.02 14.0200 44.55 44.5500 224 0.875 0.8750 bilinear
155 dpn68b +13 65.6 65.6000 -11.914 34.4 34.4000 85.94 85.9400 -7.882 14.06 14.0600 12.61 12.6100 224 0.875 0.8750 bicubic
156 seresnext26t_32x4d = 65.6 65.6000 -12.388 34.4 34.4000 86.09 86.0900 -7.616 13.91 13.9100 16.82 16.8200 224 0.875 0.8750 bicubic
157 selecsls42b +22 65.59 65.5900 -11.586 34.41 34.4100 85.83 85.8300 -7.562 14.17 14.1700 32.46 32.4600 224 0.875 0.8750 bicubic
158 tf_efficientnet_b0_ap +23 65.49 65.4900 -11.594 34.51 34.5100 85.55 85.5500 -7.704 14.45 14.4500 5.29 5.2900 224 0.875 0.8750 bicubic
159 seresnext26d_32x4d +6 65.42 65.4200 -12.184 34.58 34.5800 85.97 85.9700 -7.642 14.03 14.0300 16.81 16.8100 224 0.875 0.8750 bicubic
160 tf_efficientnet_lite2 +10 65.39 65.3900 -12.070 34.61 34.6100 86.03 86.0300 -7.716 13.97 13.9700 6.09 6.0900 260 0.89 0.8900 bicubic
161 res2net50_48w_2s +8 65.32 65.3200 -12.194 34.68 34.6800 85.96 85.9600 -7.588 14.04 14.0400 25.29 25.2900 224 0.875 0.8750 bilinear
162 densenetblur121d +28 65.3 65.3000 -11.276 34.7 34.7000 85.71 85.7100 -7.480 14.29 14.2900 8.0 8.0000 224 0.875 0.8750 bicubic
163 densenet201 +13 65.28 65.2800 -12.010 34.72 34.7200 85.67 85.6700 -7.808 14.33 14.3300 20.01 20.0100 224 0.875 0.8750 bicubic
164 tf_efficientnet_es +13 65.24 65.2400 -12.024 34.76 34.7600 85.54 85.5400 -8.060 14.46 14.4600 5.44 5.4400 224 0.875 0.8750 bicubic
165 dla60 +17 65.22 65.2200 -11.804 34.78 34.7800 85.75 85.7500 -7.558 14.25 14.2500 22.33 22.3300 224 0.875 0.8750 bilinear
166 tf_efficientnet_cc_b0_4e +8 65.13 65.1300 -12.174 34.87 34.8700 85.13 85.1300 -8.202 14.87 14.8700 13.31 13.3100 224 0.875 0.8750 bicubic
167 mobilenetv2_120d +8 65.04 65.0400 -12.254 34.96 34.9600 85.99 85.9900 -7.512 14.01 14.0100 5.83 5.8300 224 0.875 0.8750 bicubic
168 seresnext26_32x4d +12 65.04 65.0400 -12.060 34.96 34.9600 85.65 85.6500 -7.660 14.35 14.3500 16.79 16.7900 224 0.875 0.8750 bicubic
169 hrnet_w18 +18 64.91 64.9100 -11.846 35.09 35.0900 85.75 85.7500 -7.692 14.25 14.2500 21.3 21.3000 224 0.875 0.8750 bilinear
170 densenet169 +26 64.78 64.7800 -11.132 35.22 35.2200 85.25 85.2500 -7.774 14.75 14.7500 14.15 14.1500 224 0.875 0.8750 bicubic
171 mixnet_m +7 64.69 64.6900 -12.566 35.31 35.3100 85.47 85.4700 -7.948 14.53 14.5300 5.01 5.0100 224 0.875 0.8750 bicubic
172 resnet26d +16 64.63 64.6300 -12.050 35.37 35.3700 85.12 85.1200 -8.046 14.88 14.8800 16.01 16.0100 224 0.875 0.8750 bicubic
173 tf_efficientnet_lite1 +16 64.37 64.3700 -12.268 35.63 35.6300 85.49 85.4900 -7.742 14.51 14.5100 5.42 5.4200 240 0.882 0.8820 bicubic
174 tf_efficientnet_b0 +12 64.29 64.2900 -12.550 35.71 35.7100 85.25 85.2500 -7.976 14.75 14.7500 5.29 5.2900 224 0.875 0.8750 bicubic
175 tf_mixnet_m +8 64.27 64.2700 -12.680 35.73 35.7300 85.09 85.0900 -8.066 14.91 14.9100 5.01 5.0100 224 0.875 0.8750 bicubic
176 dpn68 +17 64.22 64.2200 -12.086 35.78 35.7800 85.18 85.1800 -7.790 14.82 14.8200 12.61 12.6100 224 0.875 0.8750 bicubic
177 mobilenetv2_140 +14 64.05 64.0500 -12.474 35.95 35.9500 85.02 85.0200 -7.970 14.98 14.9800 6.11 6.1100 224 0.875 0.8750 bicubic
178 densenet121 +22 63.74 63.7400 -11.834 36.26 36.2600 84.63 84.6300 -8.026 15.37 15.3700 7.98 7.9800 224 0.875 0.8750 bicubic
179 resnest14d +23 63.6 63.6000 -11.904 36.4 36.4000 84.22 84.2200 -8.294 15.78 15.7800 10.61 10.6100 224 0.875 0.8750 bilinear
180 tf_mixnet_s +18 63.59 63.5900 -12.058 36.41 36.4100 84.27 84.2700 -8.366 15.73 15.7300 4.13 4.1300 224 0.875 0.8750 bicubic
181 resnet26 +23 63.45 63.4500 -11.842 36.55 36.5500 84.27 84.2700 -8.300 15.73 15.7300 16.0 16.0000 224 0.875 0.8750 bicubic
182 mixnet_s +13 63.38 63.3800 -12.608 36.62 36.6200 84.71 84.7100 -8.084 15.29 15.2900 4.13 4.1300 224 0.875 0.8750 bicubic
183 mobilenetv3_large_100 +14 63.36 63.3600 -12.408 36.64 36.6400 84.08 84.0800 -8.460 15.92 15.9200 5.48 5.4800 224 0.875 0.8750 bicubic
184 tv_resnet50 +10 63.33 63.3300 -12.800 36.67 36.6700 84.65 84.6500 -8.212 15.35 15.3500 25.56 25.5600 224 0.875 0.8750 bilinear
185 mobilenetv3_rw +14 63.23 63.2300 -12.398 36.77 36.7700 84.52 84.5200 -8.190 15.48 15.4800 5.48 5.4800 224 0.875 0.8750 bicubic
186 semnasnet_100 +17 63.12 63.1200 -12.336 36.88 36.8800 84.53 84.5300 -8.062 15.47 15.4700 3.89 3.8900 224 0.875 0.8750 bicubic
187 tv_densenet121 +26 62.94 62.9400 -11.812 37.06 37.0600 84.26 84.2600 -7.892 15.74 15.7400 7.98 7.9800 224 0.875 0.8750 bicubic
188 seresnet34 +24 62.89 62.8900 -11.918 37.11 37.1100 84.22 84.2200 -7.906 15.78 15.7800 21.96 21.9600 224 0.875 0.8750 bilinear
189 hrnet_w18_small_v2 +17 62.83 62.8300 -12.296 37.17 37.1700 83.97 83.9700 -8.446 16.03 16.0300 15.6 15.6000 224 0.875 0.8750 bilinear
190 mobilenetv2_110d +19 62.82 62.8200 -12.232 37.18 37.1800 84.48 84.4800 -7.700 15.52 15.5200 4.52 4.5200 224 0.875 0.8750 bicubic
191 resnet34 +17 62.82 62.8200 -12.292 37.18 37.1800 84.12 84.1200 -8.168 15.88 15.8800 21.8 21.8000 224 0.875 0.8750 bilinear
192 swsl_resnet18 +30 62.73 62.7300 -10.556 37.27 37.2700 84.3 84.3000 -7.432 15.7 15.7000 11.69 11.6900 224 0.875 0.8750 bilinear
193 tf_efficientnet_lite0 +18 62.58 62.5800 -12.262 37.42 37.4200 84.25 84.2500 -7.920 15.75 15.7500 4.65 4.6500 224 0.875 0.8750 bicubic
194 gluon_resnet34_v1b +22 62.56 62.5600 -12.020 37.44 37.4400 84.0 84.0000 -7.988 16.0 16.0000 21.8 21.8000 224 0.875 0.8750 bicubic
195 dla34 +20 62.51 62.5100 -12.126 37.49 37.4900 83.92 83.9200 -8.144 16.08 16.0800 15.78 15.7800 224 0.875 0.8750 bilinear
196 tf_mobilenetv3_large_100 +5 62.47 62.4700 -13.046 37.53 37.5300 83.96 83.9600 -8.640 16.04 16.0400 5.48 5.4800 224 0.875 0.8750 bilinear
197 fbnetc_100 +10 62.43 62.4300 -12.690 37.57 37.5700 83.39 83.3900 -8.996 16.61 16.6100 5.57 5.5700 224 0.875 0.8750 bilinear
198 mnasnet_100 +16 61.91 61.9100 -12.746 38.09 38.0900 83.71 83.7100 -8.416 16.29 16.2900 4.38 4.3800 224 0.875 0.8750 bicubic
199 ssl_resnet18 +26 61.49 61.4900 -11.110 38.51 38.5100 83.33 83.3300 -8.086 16.67 16.6700 11.69 11.6900 224 0.875 0.8750 bilinear
200 spnasnet_100 +17 61.21 61.2100 -12.870 38.79 38.7900 82.77 82.7700 -9.062 17.23 17.2300 4.42 4.4200 224 0.875 0.8750 bilinear
201 tv_resnet34 +20 61.2 61.2000 -12.114 38.8 38.8000 82.72 82.7200 -8.700 17.28 17.2800 21.8 21.8000 224 0.875 0.8750 bilinear
202 skresnet18 +21 60.85 60.8500 -12.194 39.15 39.1500 82.88 82.8800 -8.298 17.12 17.1200 11.96 11.9600 224 0.875 0.8750 bicubic
203 tf_mobilenetv3_large_075 +17 60.38 60.3800 -13.062 39.62 39.6200 81.96 81.9600 -9.392 18.04 18.0400 3.99 3.9900 224 0.875 0.8750 bilinear
204 mobilenetv2_100 +20 60.16 60.1600 -12.818 39.84 39.8400 82.24 82.2400 -8.776 17.76 17.7600 3.5 3.5000 224 0.875 0.8750 bicubic
205 seresnet18 +24 59.81 59.8100 -11.948 40.19 40.1900 81.68 81.6800 -8.654 18.32 18.3200 11.78 11.7800 224 0.875 0.8750 bicubic
206 tf_mobilenetv3_large_minimal_100 +22 59.07 59.0700 -13.174 40.93 40.9300 81.14 81.1400 -9.496 18.86 18.8600 3.92 3.9200 224 0.875 0.8750 bilinear
207 hrnet_w18_small +20 58.97 58.9700 -13.372 41.03 41.0300 81.34 81.3400 -9.332 18.66 18.6600 13.19 13.1900 224 0.875 0.8750 bilinear
208 gluon_resnet18_v1b +22 58.32 58.3200 -12.510 41.68 41.6800 80.96 80.9600 -8.796 19.04 19.0400 11.69 11.6900 224 0.875 0.8750 bicubic
209 resnet18 +23 57.18 57.1800 -12.578 42.82 42.8200 80.19 80.1900 -8.888 19.81 19.8100 11.69 11.6900 224 0.875 0.8750 bilinear
210 dla60x_c +25 56.02 56.0200 -11.888 43.98 43.9800 78.96 78.9600 -9.474 21.04 21.0400 1.34 1.3400 224 0.875 0.8750 bilinear
211 tf_mobilenetv3_small_100 +23 54.51 54.5100 -13.408 45.49 45.4900 77.08 77.0800 -10.582 22.92 22.9200 2.54 2.5400 224 0.875 0.8750 bilinear
212 dla46x_c +24 53.08 53.0800 -12.900 46.92 46.9200 76.84 76.8400 -10.140 23.16 23.1600 1.08 1.0800 224 0.875 0.8750 bilinear
213 dla46_c +25 52.2 52.2000 -12.678 47.8 47.8000 75.68 75.6800 -10.606 24.32 24.3200 1.31 1.3100 224 0.875 0.8750 bilinear
214 tf_mobilenetv3_small_075 +23 52.15 52.1500 -13.568 47.85 47.8500 75.46 75.4600 -10.676 24.54 24.5400 2.04 2.0400 224 0.875 0.8750 bilinear
215 tf_mobilenetv3_small_minimal_100 +24 49.53 49.5300 -13.368 50.47 50.4700 73.05 73.0500 -11.180 26.95 26.9500 2.04 2.0400 224 0.875 0.8750 bilinear

@ -1,239 +1,239 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
ig_resnext101_32x48d,58.8143,41.1857,81.0863,18.9137,828.41,224,0.875,bilinear
ig_resnext101_32x32d,58.38,41.62,80.3789,19.6211,468.53,224,0.875,bilinear
ig_resnext101_32x16d,57.7001,42.2999,79.9131,20.0869,194.03,224,0.875,bilinear
swsl_resnext101_32x16d,57.4663,42.5337,80.3808,19.6192,194.03,224,0.875,bilinear
swsl_resnext101_32x8d,56.4346,43.5654,78.9345,21.0655,88.79,224,0.875,bilinear
ig_resnext101_32x8d,54.9176,45.0824,77.5452,22.4548,88.79,224,0.875,bilinear
swsl_resnext101_32x4d,53.5911,46.4089,76.3387,23.6613,44.18,224,0.875,bilinear
tf_efficientnet_l2_ns_475,51.4866,48.5134,73.9295,26.0705,480.31,475,0.936,bicubic
swsl_resnext50_32x4d,50.449,49.551,73.3577,26.6423,25.03,224,0.875,bilinear
swsl_resnet50,49.551,50.449,72.3319,27.6681,25.56,224,0.875,bilinear
tf_efficientnet_b7_ns,47.8001,52.1999,69.6378,30.3622,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,47.751,52.249,69.9621,30.0379,43.04,528,0.942,bicubic
tf_efficientnet_l2_ns,47.5702,52.4298,70.0171,29.9829,480.31,800,0.96,bicubic
tf_efficientnet_b8_ap,45.7781,54.2219,67.9047,32.0953,87.41,672,0.954,bicubic
tf_efficientnet_b5_ns,45.6071,54.3929,67.8516,32.1484,30.39,456,0.934,bicubic
tf_efficientnet_b4_ns,43.4554,56.5446,65.5132,34.4868,19.34,380,0.922,bicubic
tf_efficientnet_b8,42.5023,57.4977,64.8745,35.1255,87.41,672,0.954,bicubic
tf_efficientnet_b7,41.4372,58.5628,63.0274,36.9726,66.35,600,0.949,bicubic
tf_efficientnet_b7_ap,41.4333,58.5667,62.8761,37.1239,66.35,600,0.949,bicubic
tf_efficientnet_b5_ap,41.4196,58.5804,62.0822,37.9178,30.39,456,0.934,bicubic
tf_efficientnet_b6_ap,41.0914,58.9086,62.3593,37.6407,43.04,528,0.942,bicubic
tf_efficientnet_b4_ap,40.4763,59.5237,61.7127,38.2873,19.34,380,0.922,bicubic
tf_efficientnet_b3_ns,39.5822,60.4178,61.4632,38.5368,12.23,300,0.904,bicubic
tf_efficientnet_b5,38.3285,61.6715,59.9285,40.0715,30.39,456,0.934,bicubic
tf_efficientnet_b3_ap,37.0611,62.9389,57.2363,42.7637,12.23,300,0.904,bicubic
resnest269e,36.67,63.33,56.8099,43.1901,110.93,416,0.875,bilinear
tf_efficientnet_b2_ns,36.1768,63.8232,57.5547,42.4453,9.11,260,0.89,bicubic
ecaresnet101d,36.0058,63.9942,56.1536,43.8464,44.57,224,0.875,bicubic
swsl_resnet18,35.8604,64.1396,58.437,41.563,11.69,224,0.875,bilinear
resnest200e,35.8466,64.1534,55.8903,44.1097,70.2,320,0.875,bilinear
resnest101e,35.3652,64.6348,55.7861,44.2139,48.28,256,0.875,bilinear
ssl_resnext101_32x16d,34.6087,65.3913,55.9139,44.0861,194.03,224,0.875,bilinear
resnest50d_4s2x40d,34.3611,65.6389,54.7112,45.2888,30.42,224,0.875,bicubic
tf_efficientnet_b1_ns,34.1528,65.8472,55.4894,44.5106,7.79,240,0.882,bicubic
tf_efficientnet_b4,34.0624,65.9376,54.216,45.784,19.34,380,0.922,bicubic
ssl_resnext101_32x8d,34.0211,65.9789,55.5935,44.4065,88.79,224,0.875,bilinear
tf_efficientnet_b6,34.0054,65.9946,54.5403,45.4597,43.04,528,0.942,bicubic
efficientnet_b3_pruned,33.9956,66.0044,54.1099,45.8901,9.86,300,0.904,bicubic
tresnet_xl,33.2587,66.7413,52.2962,47.7038,78.44,224,0.875,bilinear
resnest50d_1s4x24d,33.1388,66.8612,52.8307,47.1693,25.68,224,0.875,bicubic
resnest50d,32.9678,67.0322,52.701,47.299,27.48,224,0.875,bilinear
tf_efficientnet_b3,32.8637,67.1363,52.9623,47.0377,12.23,300,0.904,bicubic
inception_resnet_v2,32.736,67.264,50.6396,49.3604,55.84,299,0.8975,bicubic
gluon_resnet152_v1d,32.7301,67.2699,51.0837,48.9163,60.21,224,0.875,bicubic
tf_efficientnet_b2_ap,32.679,67.321,52.2333,47.7667,9.11,260,0.89,bicubic
nasnetalarge,32.5827,67.4173,49.7868,50.2132,88.75,331,0.875,bicubic
tresnet_l,32.567,67.433,51.1407,48.8593,55.99,224,0.875,bilinear
pnasnet5large,32.5316,67.4684,50.1877,49.8123,86.06,331,0.875,bicubic
ens_adv_inception_resnet_v2,32.3705,67.6295,50.4274,49.5726,55.84,299,0.8975,bicubic
gluon_resnet152_v1s,32.3312,67.6688,50.5394,49.4606,60.32,224,0.875,bicubic
gluon_seresnext101_64x4d,32.1936,67.8064,50.3272,49.6728,88.23,224,0.875,bicubic
gluon_seresnext101_32x4d,32.115,67.885,51.2409,48.7591,48.96,224,0.875,bicubic
efficientnet_b3a,31.7279,68.2721,51.3215,48.6785,12.23,320,1.0,bicubic
efficientnet_b3,31.5648,68.4352,51.2724,48.7276,12.23,300,0.904,bicubic
resnet50,31.5451,68.4549,50.1719,49.8281,25.56,224,0.875,bicubic
ssl_resnext101_32x4d,31.4331,68.5669,52.1154,47.8846,44.18,224,0.875,bilinear
inception_v4,31.382,68.618,49.2366,50.7634,42.68,299,0.875,bicubic
ecaresnetlight,31.1325,68.8675,50.2525,49.7475,30.16,224,0.875,bicubic
gluon_resnet101_v1s,31.1128,68.8872,49.7907,50.2093,44.67,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,31.0814,68.9186,50.7733,49.2267,24.01,224,0.875,bicubic
ecaresnet50d,31.0637,68.9363,50.846,49.154,25.58,224,0.875,bicubic
gluon_resnet152_v1c,31.0067,68.9933,48.9359,51.0641,60.21,224,0.875,bicubic
tresnet_m,30.9929,69.0071,48.6903,51.3097,31.39,224,0.875,bilinear
gluon_resnext101_64x4d,30.9812,69.0188,48.5527,51.4473,83.46,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,30.9006,69.0994,50.0737,49.9263,39.72,240,0.882,bicubic
ecaresnet101d_pruned,30.8947,69.1053,50.001,49.999,24.88,224,0.875,bicubic
gluon_resnext101_32x4d,30.8809,69.1191,48.537,51.463,44.18,224,0.875,bicubic
tf_efficientnet_lite4,30.8397,69.1603,50.3979,49.6021,13.01,380,0.92,bilinear
dpn107,30.6805,69.3195,48.8062,51.1938,86.92,224,0.875,bicubic
ese_vovnet39b,30.6766,69.3234,49.8929,50.1071,24.57,224,0.875,bicubic
tresnet_xl_448,30.6196,69.3804,49.0715,50.9285,78.44,448,0.875,bilinear
gluon_resnet152_v1b,30.6176,69.3824,48.5292,51.4708,60.19,224,0.875,bicubic
ssl_resnext50_32x4d,30.594,69.406,50.6534,49.3466,25.03,224,0.875,bilinear
gluon_resnet101_v1d,30.5095,69.4905,47.975,52.025,44.57,224,0.875,bicubic
resnest26d,30.4997,69.5003,50.677,49.323,17.07,224,0.875,bilinear
efficientnet_b2a,30.4231,69.5769,49.6748,50.3252,9.11,288,1.0,bicubic
tf_efficientnet_b1_ap,30.4191,69.5809,49.5529,50.4471,7.79,240,0.882,bicubic
dpn98,30.0576,69.9424,48.2403,51.7597,61.57,224,0.875,bicubic
tf_efficientnet_b2,30.0202,69.9798,49.5903,50.4097,9.11,260,0.89,bicubic
dpn131,30.0143,69.9857,48.144,51.856,79.25,224,0.875,bicubic
senet154,30.0006,69.9994,48.032,51.968,115.09,224,0.875,bilinear
dpn92,29.9691,70.0309,49.1599,50.8401,37.67,224,0.875,bicubic
gluon_senet154,29.8866,70.1134,47.8728,52.1272,115.09,224,0.875,bicubic
xception,29.8493,70.1507,48.6903,51.3097,22.86,299,0.8975,bicubic
adv_inception_v3,29.8237,70.1763,47.8669,52.1331,23.83,299,0.875,bicubic
resnetblur50,29.6233,70.3767,48.2501,51.7499,25.56,224,0.875,bicubic
efficientnet_b2,29.6174,70.3826,48.7728,51.2272,9.11,260,0.875,bicubic
gluon_xception65,29.5545,70.4455,47.523,52.477,39.92,299,0.875,bicubic
resnext101_32x8d,29.4347,70.5653,48.482,51.518,88.79,224,0.875,bilinear
ssl_resnet50,29.4229,70.5771,49.773,50.227,25.56,224,0.875,bilinear
resnext50_32x4d,29.3285,70.6715,47.3953,52.6047,25.03,224,0.875,bicubic
ecaresnet50d_pruned,29.2165,70.7835,48.4584,51.5416,19.94,224,0.875,bicubic
tresnet_l_448,29.1674,70.8326,47.2342,52.7658,55.99,448,0.875,bilinear
gluon_inception_v3,29.1143,70.8857,46.9433,53.0567,23.83,299,0.875,bicubic
hrnet_w64,28.9866,71.0134,47.1399,52.8601,128.06,224,0.875,bilinear
tf_efficientnet_b0_ns,28.9139,71.0861,49.0106,50.9894,5.29,224,0.875,bicubic
tf_efficientnet_b1,28.8923,71.1077,47.5112,52.4888,7.79,240,0.882,bicubic
gluon_resnet101_v1b,28.8569,71.1431,46.3715,53.6285,44.55,224,0.875,bicubic
skresnext50_32x4d,28.8176,71.1824,46.5032,53.4968,27.48,224,0.875,bicubic
tf_efficientnet_lite3,28.6545,71.3455,47.358,52.642,8.2,300,0.904,bilinear
hrnet_w40,28.6447,71.3553,47.4425,52.5575,57.56,224,0.875,bilinear
gluon_seresnext50_32x4d,28.6408,71.3592,46.4501,53.5499,27.56,224,0.875,bicubic
skresnet34,28.629,71.371,47.9573,52.0427,22.28,224,0.875,bicubic
resnet152,28.5347,71.4653,47.1143,52.8857,60.19,224,0.875,bilinear
hrnet_w48,28.4069,71.5931,47.5741,52.4259,77.47,224,0.875,bilinear
gluon_resnext50_32x4d,28.3833,71.6167,45.3261,54.6739,25.03,224,0.875,bicubic
efficientnet_b2_pruned,28.3657,71.6343,47.0593,52.9407,8.31,260,0.89,bicubic
tf_efficientnet_b0_ap,28.3499,71.6501,47.5309,52.4691,5.29,224,0.875,bicubic
dla102x2,28.3185,71.6815,46.7567,53.2433,41.75,224,0.875,bilinear
dla169,28.3106,71.6894,47.3992,52.6008,53.99,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,28.3106,71.6894,47.3639,52.6361,13.31,224,0.875,bicubic
mixnet_xl,28.293,71.707,46.7174,53.2826,11.9,224,0.875,bicubic
gluon_resnet50_v1d,28.236,71.764,45.8763,54.1237,25.58,224,0.875,bicubic
wide_resnet101_2,28.1063,71.8937,46.4246,53.5754,126.89,224,0.875,bilinear
gluon_resnet101_v1c,28.1023,71.8977,45.953,54.047,44.57,224,0.875,bicubic
densenet161,28.1004,71.8996,46.6506,53.3494,28.68,224,0.875,bicubic
regnetx_320,28.0788,71.9212,45.1198,54.8802,107.81,224,0.875,bicubic
regnety_320,28.0709,71.9291,45.4597,54.5403,145.05,224,0.875,bicubic
dpn68b,27.8842,72.1158,47.4602,52.5398,12.61,224,0.875,bicubic
regnetx_160,27.8253,72.1747,45.6307,54.3693,54.28,224,0.875,bicubic
tf_inception_v3,27.786,72.214,45.7113,54.2887,23.83,299,0.875,bicubic
res2net101_26w_4s,27.7742,72.2258,45.1709,54.8291,45.21,224,0.875,bilinear
regnety_160,27.6386,72.3614,45.5344,54.4656,83.59,224,0.875,bicubic
hrnet_w44,27.6248,72.3752,45.8311,54.1689,67.06,224,0.875,bilinear
inception_v3,27.5698,72.4302,45.2613,54.7387,23.83,299,0.875,bicubic
regnetx_080,27.4106,72.5894,45.0215,54.9785,39.57,224,0.875,bicubic
hrnet_w30,27.3851,72.6149,46.5425,53.4575,37.71,224,0.875,bilinear
hrnet_w32,27.3772,72.6228,45.9903,54.0097,41.23,224,0.875,bilinear
gluon_resnet50_v1s,27.3261,72.6739,45.2141,54.7859,25.68,224,0.875,bicubic
densenet201,27.2613,72.7387,46.2241,53.7759,20.01,224,0.875,bicubic
regnety_064,27.2279,72.7721,44.8506,55.1494,30.58,224,0.875,bicubic
densenetblur121d,27.224,72.776,46.3067,53.6933,8.0,224,0.875,bicubic
efficientnet_b1_pruned,27.1945,72.8055,45.8724,54.1276,6.33,240,0.882,bicubic
res2net50_26w_8s,27.0726,72.9274,44.432,55.568,48.4,224,0.875,bilinear
dla102x,27.0235,72.9765,45.4951,54.5049,26.77,224,0.875,bilinear
resnet101,26.9685,73.0315,45.2357,54.7643,44.55,224,0.875,bilinear
resnext50d_32x4d,26.8742,73.1258,44.43,55.57,25.05,224,0.875,bicubic
regnetx_120,26.8644,73.1356,44.6816,55.3184,46.11,224,0.875,bicubic
seresnext101_32x4d,26.8192,73.1808,43.5084,56.4916,48.96,224,0.875,bilinear
densenet169,26.8113,73.1887,45.3752,54.6248,14.15,224,0.875,bicubic
regnetx_064,26.8015,73.1985,44.9036,55.0964,26.21,224,0.875,bicubic
regnety_120,26.7818,73.2182,44.4399,55.5601,51.82,224,0.875,bicubic
regnetx_032,26.7071,73.2929,45.2259,54.7741,15.3,224,0.875,bicubic
densenet121,26.6757,73.3243,45.8999,54.1001,7.98,224,0.875,bicubic
seresnet152,26.6718,73.3282,43.9447,56.0553,66.82,224,0.875,bilinear
tf_efficientnet_el,26.6226,73.3774,44.6364,55.3636,10.59,300,0.904,bicubic
efficientnet_es,26.6168,73.3832,45.106,54.894,5.44,224,0.875,bicubic
res2net50_26w_6s,26.5873,73.4127,43.9781,56.0219,37.05,224,0.875,bilinear
dla60x,26.5637,73.4363,45.0392,54.9608,17.65,224,0.875,bilinear
regnety_080,26.5146,73.4854,44.3554,55.6446,39.18,224,0.875,bicubic
tf_efficientnet_b0,26.491,73.509,45.6562,54.3438,5.29,224,0.875,bicubic
res2net50_14w_8s,26.4713,73.5287,44.3691,55.6309,25.06,224,0.875,bilinear
gluon_resnet50_v1b,26.432,73.568,44.0331,55.9669,25.56,224,0.875,bicubic
regnetx_040,26.2395,73.7605,44.4241,55.5759,22.12,224,0.875,bicubic
dpn68,26.1216,73.8784,44.2335,55.7665,12.61,224,0.875,bicubic
hrnet_w18,25.9761,74.0239,44.8093,55.1907,21.3,224,0.875,bilinear
regnety_040,25.9133,74.0867,43.8543,56.1457,20.65,224,0.875,bicubic
resnet34,25.8838,74.1162,43.9899,56.0101,21.8,224,0.875,bilinear
res2net50_26w_4s,25.87,74.13,43.1606,56.8394,25.7,224,0.875,bilinear
tresnet_m_448,25.8504,74.1496,42.8678,57.1322,31.39,448,0.875,bilinear
gluon_resnet50_v1c,25.7954,74.2046,43.0172,56.9828,25.58,224,0.875,bicubic
selecsls60,25.7285,74.2715,44.0685,55.9315,30.67,224,0.875,bicubic
dla60_res2net,25.6421,74.3579,43.589,56.411,21.15,224,0.875,bilinear
dla60_res2next,25.6382,74.3618,43.6696,56.3304,17.33,224,0.875,bilinear
tf_efficientnet_lite1,25.5065,74.4935,43.5831,56.4169,5.42,240,0.882,bicubic
mixnet_l,25.4986,74.5014,43.4632,56.5368,7.33,224,0.875,bicubic
efficientnet_b1,25.4829,74.5171,43.2864,56.7136,7.79,240,0.875,bicubic
tv_resnext50_32x4d,25.4692,74.5308,42.7912,57.2088,25.03,224,0.875,bilinear
tf_mixnet_l,25.42,74.58,42.5436,57.4564,7.33,224,0.875,bicubic
res2next50,25.3945,74.6055,42.4925,57.5075,24.67,224,0.875,bilinear
selecsls60b,25.3277,74.6723,43.5536,56.4464,32.77,224,0.875,bicubic
seresnet101,25.3277,74.6723,42.8285,57.1715,49.33,224,0.875,bilinear
regnety_032,25.3237,74.6763,42.9071,57.0929,19.44,224,0.875,bicubic
dla102,25.3139,74.6861,43.8366,56.1634,33.73,224,0.875,bilinear
wide_resnet50_2,25.31,74.69,42.1781,57.8219,68.88,224,0.875,bilinear
resnest14d,25.2825,74.7175,44.1215,55.8785,10.61,224,0.875,bilinear
seresnext50_32x4d,25.2176,74.7824,41.9383,58.0617,27.56,224,0.875,bilinear
res2net50_48w_2s,25.0231,74.9769,42.2017,57.7983,25.29,224,0.875,bilinear
efficientnet_b0,25.0152,74.9848,42.7853,57.2147,5.29,224,0.875,bicubic
gluon_resnet34_v1b,24.9484,75.0516,42.237,57.763,21.8,224,0.875,bicubic
mobilenetv2_120d,24.9327,75.0673,43.0643,56.9357,5.83,224,0.875,bicubic
dla60,24.9268,75.0732,43.3021,56.6979,22.33,224,0.875,bilinear
regnety_016,24.8187,75.1813,42.6261,57.3739,11.2,224,0.875,bicubic
tf_efficientnet_em,24.5338,75.4662,42.41,57.59,6.9,240,0.882,bicubic
tf_efficientnet_lite2,24.5299,75.4701,42.292,57.708,6.09,260,0.89,bicubic
skresnet18,24.4945,75.5055,42.5377,57.4623,11.96,224,0.875,bicubic
regnetx_016,24.4768,75.5232,42.5023,57.4977,9.19,224,0.875,bicubic
tf_efficientnet_lite0,24.3707,75.6293,42.5102,57.4898,4.65,224,0.875,bicubic
tv_resnet50,24.0917,75.9083,41.3095,58.6905,25.56,224,0.875,bilinear
seresnet34,24.0366,75.9634,41.8951,58.1049,21.96,224,0.875,bilinear
tv_densenet121,23.846,76.154,41.9207,58.0793,7.98,224,0.875,bicubic
tf_efficientnet_es,23.8244,76.1756,41.3193,58.6807,5.44,224,0.875,bicubic
mobilenetv2_140,23.7104,76.2896,41.4687,58.5313,6.11,224,0.875,bicubic
mixnet_m,23.7085,76.2915,41.1386,58.8614,5.01,224,0.875,bicubic
dla34,23.677,76.323,41.5434,58.4566,15.78,224,0.875,bilinear
seresnet50,23.6436,76.3564,40.0814,59.9186,28.09,224,0.875,bilinear
tf_mixnet_m,23.4786,76.5214,41.0049,58.9951,5.01,224,0.875,bicubic
tv_resnet34,23.4727,76.5273,41.3665,58.6335,21.8,224,0.875,bilinear
selecsls42b,23.3665,76.6335,40.6768,59.3232,32.46,224,0.875,bicubic
mobilenetv2_110d,23.0698,76.9302,40.7436,59.2564,4.52,224,0.875,bicubic
mobilenetv3_large_100,22.665,77.335,40.7848,59.2152,5.48,224,0.875,bicubic
mobilenetv3_rw,22.6257,77.3743,40.3702,59.6298,5.48,224,0.875,bicubic
tf_mobilenetv3_large_100,22.5707,77.4293,39.7591,60.2409,5.48,224,0.875,bilinear
hrnet_w18_small_v2,22.3408,77.6592,39.8475,60.1525,15.6,224,0.875,bilinear
regnety_008,22.1128,77.8872,38.8964,61.1036,6.26,224,0.875,bicubic
seresnext26tn_32x4d,22.0028,77.9972,38.4916,61.5084,16.81,224,0.875,bicubic
seresnext26t_32x4d,21.9871,78.0129,38.5663,61.4337,16.82,224,0.875,bicubic
regnety_006,21.9733,78.0267,38.9534,61.0466,6.06,224,0.875,bicubic
regnetx_008,21.9517,78.0483,38.9298,61.0702,7.26,224,0.875,bicubic
resnet26d,21.9144,78.0856,38.6174,61.3826,16.01,224,0.875,bicubic
semnasnet_100,21.8967,78.1033,38.6036,61.3964,3.89,224,0.875,bicubic
regnetx_006,21.7434,78.2566,38.9043,61.0957,6.2,224,0.875,bicubic
gluon_resnet18_v1b,21.5449,78.4551,38.8728,61.1272,11.69,224,0.875,bicubic
fbnetc_100,21.4919,78.5081,38.1654,61.8346,5.57,224,0.875,bilinear
mnasnet_100,21.3504,78.6496,37.7154,62.2846,4.38,224,0.875,bicubic
resnet26,21.2954,78.7046,38.0161,61.9839,16.0,224,0.875,bicubic
ssl_resnet18,21.2777,78.7223,39.1145,60.8855,11.69,224,0.875,bilinear
mixnet_s,21.258,78.742,38.1929,61.8071,4.13,224,0.875,bicubic
seresnext26d_32x4d,21.2541,78.7459,37.2851,62.7149,16.81,224,0.875,bicubic
seresnext26_32x4d,21.093,78.907,37.6388,62.3612,16.79,224,0.875,bicubic
regnetx_004,20.8866,79.1134,37.5484,62.4516,5.16,224,0.875,bicubic
spnasnet_100,20.867,79.133,37.8923,62.1077,4.42,224,0.875,bilinear
seresnet18,20.8395,79.1605,37.6447,62.3553,11.78,224,0.875,bicubic
mobilenetv2_100,20.7609,79.2391,37.7508,62.2492,3.5,224,0.875,bicubic
tf_mixnet_s,20.4779,79.5221,36.6268,63.3732,4.13,224,0.875,bicubic
regnety_004,20.417,79.583,37.0296,62.9704,4.34,224,0.875,bicubic
tf_mobilenetv3_large_075,20.3718,79.6282,36.7702,63.2298,3.99,224,0.875,bilinear
hrnet_w18_small,20.3659,79.6341,37.0945,62.9055,13.19,224,0.875,bilinear
resnet18,20.2283,79.7717,37.2595,62.7405,11.69,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,20.1163,79.8837,36.9038,63.0962,3.92,224,0.875,bilinear
regnety_002,17.4596,82.5404,32.4432,67.5568,3.16,224,0.875,bicubic
regnetx_002,16.9506,83.0494,32.2349,67.7651,2.68,224,0.875,bicubic
dla60x_c,16.3257,83.6743,31.775,68.225,1.34,224,0.875,bilinear
tf_mobilenetv3_small_100,16.2334,83.7666,31.2229,68.7771,2.54,224,0.875,bilinear
tf_mobilenetv3_small_075,14.9404,85.0596,29.5722,70.4278,2.04,224,0.875,bilinear
dla46_c,14.6613,85.3387,29.3737,70.6263,1.31,224,0.875,bilinear
dla46x_c,14.3803,85.6197,29.1772,70.8228,1.08,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,13.9677,86.0323,27.9805,72.0195,2.04,224,0.875,bilinear
model,rank_diff,top1,top1_diff,top1_err,top5,top5_diff,top5_err,param_count,img_size,cropt_pct,interpolation
ig_resnext101_32x48d,+5,58.8143,-26.628,41.1857,81.0863,-16.486,18.9137,828.4100,224,0.8750,bilinear
ig_resnext101_32x32d,+9,58.3800,-26.712,41.6200,80.3789,-17.057,19.6211,468.5300,224,0.8750,bilinear
ig_resnext101_32x16d,+14,57.7001,-26.476,42.2999,79.9131,-17.283,20.0869,194.0300,224,0.8750,bilinear
swsl_resnext101_32x16d,+18,57.4663,-25.872,42.5337,80.3808,-16.471,19.6192,194.0300,224,0.8750,bilinear
swsl_resnext101_32x8d,+9,56.4346,-27.859,43.5654,78.9345,-18.239,21.0655,88.7900,224,0.8750,bilinear
ig_resnext101_32x8d,+23,54.9176,-27.770,45.0824,77.5452,-19.087,22.4548,88.7900,224,0.8750,bilinear
swsl_resnext101_32x4d,+17,53.5911,-29.643,46.4089,76.3387,-20.417,23.6613,44.1800,224,0.8750,bilinear
tf_efficientnet_l2_ns_475,-6,51.4866,-36.747,48.5134,73.9295,-24.617,26.0705,480.3100,475,0.9360,bicubic
swsl_resnext50_32x4d,+24,50.4490,-31.731,49.5510,73.3577,-22.870,26.6423,25.0300,224,0.8750,bilinear
swsl_resnet50,+38,49.5510,-31.629,50.4490,72.3319,-23.654,27.6681,25.5600,224,0.8750,bilinear
tf_efficientnet_b7_ns,-8,47.8001,-39.038,52.1999,69.6378,-28.456,30.3622,66.3500,600,0.9490,bicubic
tf_efficientnet_b6_ns,-8,47.7510,-38.711,52.2490,69.9621,-27.922,30.0379,43.0400,528,0.9420,bicubic
tf_efficientnet_l2_ns,-12,47.5702,-40.782,52.4298,70.0171,-28.631,29.9829,480.3100,800,0.9600,bicubic
tf_efficientnet_b8_ap,-6,45.7781,-39.590,54.2219,67.9047,-29.389,32.0953,87.4100,672,0.9540,bicubic
tf_efficientnet_b5_ns,-10,45.6071,-40.473,54.3929,67.8516,-29.902,32.1484,30.3900,456,0.9340,bicubic
tf_efficientnet_b4_ns,-7,43.4554,-41.703,56.5446,65.5132,-31.955,34.4868,19.3400,380,0.9220,bicubic
tf_efficientnet_b8,-10,42.5023,-42.868,57.4977,64.8745,-32.518,35.1255,87.4100,672,0.9540,bicubic
tf_efficientnet_b7,-6,41.4372,-43.495,58.5628,63.0274,-34.181,36.9726,66.3500,600,0.9490,bicubic
tf_efficientnet_b7_ap,-9,41.4333,-43.685,58.5667,62.8761,-34.376,37.1239,66.3500,600,0.9490,bicubic
tf_efficientnet_b5_ap,-5,41.4196,-42.834,58.5804,62.0822,-34.894,37.9178,30.3900,456,0.9340,bicubic
tf_efficientnet_b6_ap,-8,41.0914,-43.695,58.9086,62.3593,-34.779,37.6407,43.0400,528,0.9420,bicubic
tf_efficientnet_b4_ap,+1,40.4763,-42.772,59.5237,61.7127,-34.675,38.2873,19.3400,380,0.9220,bicubic
tf_efficientnet_b3_ns,-4,39.5822,-44.472,60.4178,61.4632,-35.449,38.5368,12.2300,300,0.9040,bicubic
tf_efficientnet_b5,-3,38.3285,-45.488,61.6715,59.9285,-36.822,40.0715,30.3900,456,0.9340,bicubic
tf_efficientnet_b3_ap,+13,37.0611,-44.767,62.9389,57.2363,-38.388,42.7637,12.2300,300,0.9040,bicubic
resnest269e,-10,36.6700,-47.516,63.3300,56.8099,-40.112,43.1901,110.9300,416,0.8750,bilinear
tf_efficientnet_b2_ns,+4,36.1768,-46.203,63.8232,57.5547,-38.697,42.4453,9.1100,260,0.8900,bicubic
ecaresnet101d,+6,36.0058,-46.160,63.9942,56.1536,-39.898,43.8464,44.5700,224,0.8750,bicubic
swsl_resnet18,+192,35.8604,-37.426,64.1396,58.4370,-33.295,41.5630,11.6900,224,0.8750,bilinear
resnest200e,-10,35.8466,-47.987,64.1534,55.8903,-40.948,44.1097,70.2000,320,0.8750,bilinear
resnest101e,-4,35.3652,-47.525,64.6348,55.7861,-40.538,44.2139,48.2800,256,0.8750,bilinear
ssl_resnext101_32x16d,+5,34.6087,-47.227,65.3913,55.9139,-40.180,44.0861,194.0300,224,0.8750,bilinear
resnest50d_4s2x40d,+16,34.3611,-46.753,65.6389,54.7112,-40.857,45.2888,30.4200,224,0.8750,bicubic
tf_efficientnet_b1_ns,+11,34.1528,-47.233,65.8472,55.4894,-40.249,44.5106,7.7900,240,0.8820,bicubic
tf_efficientnet_b4,-9,34.0624,-48.954,65.9376,54.2160,-42.082,45.7840,19.3400,380,0.9220,bicubic
ssl_resnext101_32x8d,+5,34.0211,-47.605,65.9789,55.5935,-40.444,44.4065,88.7900,224,0.8750,bilinear
tf_efficientnet_b6,-19,34.0054,-50.107,65.9946,54.5403,-42.344,45.4597,43.0400,528,0.9420,bicubic
efficientnet_b3_pruned,+18,33.9956,-46.860,66.0044,54.1099,-41.130,45.8901,9.8600,300,0.9040,bicubic
tresnet_xl,-4,33.2587,-48.811,66.7413,52.2962,-43.632,47.7038,78.4400,224,0.8750,bilinear
resnest50d_1s4x24d,+11,33.1388,-47.851,66.8612,52.8307,-42.491,47.1693,25.6800,224,0.8750,bicubic
resnest50d,+11,32.9678,-47.990,67.0322,52.7010,-42.681,47.2990,27.4800,224,0.8750,bilinear
tf_efficientnet_b3,-2,32.8637,-48.776,67.1363,52.9623,-42.760,47.0377,12.2300,300,0.9040,bicubic
inception_resnet_v2,+22,32.7360,-47.724,67.2640,50.6396,-44.670,49.3604,55.8400,299,0.8975,bicubic
gluon_resnet152_v1d,+20,32.7301,-47.740,67.2699,51.0837,-44.122,48.9163,60.2100,224,0.8750,bicubic
tf_efficientnet_b2_ap,+28,32.6790,-47.627,67.3210,52.2333,-42.795,47.7667,9.1100,260,0.8900,bicubic
nasnetalarge,-16,32.5827,-49.975,67.4173,49.7868,-46.249,50.2132,88.7500,331,0.8750,bicubic
tresnet_l,-3,32.5670,-48.921,67.4330,51.1407,-44.487,48.8593,55.9900,224,0.8750,bilinear
pnasnet5large,-20,32.5316,-50.208,67.4684,50.1877,-45.852,49.8123,86.0600,331,0.8750,bicubic
ens_adv_inception_resnet_v2,+34,32.3705,-47.605,67.6295,50.4274,-44.519,49.5726,55.8400,299,0.8975,bicubic
gluon_resnet152_v1s,=,32.3312,-48.681,67.6688,50.5394,-44.877,49.4606,60.3200,224,0.8750,bicubic
gluon_seresnext101_64x4d,+4,32.1936,-48.696,67.8064,50.3272,-44.977,49.6728,88.2300,224,0.8750,bicubic
gluon_seresnext101_32x4d,+2,32.1150,-48.787,67.8850,51.2409,-44.053,48.7591,48.9600,224,0.8750,bicubic
efficientnet_b3a,-17,31.7279,-50.146,68.2721,51.3215,-44.519,48.6785,12.2300,320,1.0000,bicubic
efficientnet_b3,-11,31.5648,-49.933,68.4352,51.2724,-44.446,48.7276,12.2300,300,0.9040,bicubic
resnet50,+64,31.5451,-47.487,68.4549,50.1719,-44.212,49.8281,25.5600,224,0.8750,bicubic
ssl_resnext101_32x4d,-3,31.4331,-49.495,68.5669,52.1154,-43.613,47.8846,44.1800,224,0.8750,bilinear
inception_v4,+22,31.3820,-48.774,68.6180,49.2366,-45.737,50.7634,42.6800,299,0.8750,bicubic
ecaresnetlight,+8,31.1325,-49.321,68.8675,50.2525,-45.004,49.7475,30.1600,224,0.8750,bicubic
gluon_resnet101_v1s,+15,31.1128,-49.187,68.8872,49.7907,-45.359,50.2093,44.6700,224,0.8750,bicubic
tf_efficientnet_cc_b0_8e,+98,31.0814,-46.827,68.9186,50.7733,-42.883,49.2267,24.0100,224,0.8750,bicubic
ecaresnet50d,=,31.0637,-49.540,68.9363,50.8460,-44.476,49.1540,25.5800,224,0.8750,bicubic
gluon_resnet152_v1c,+23,31.0067,-48.909,68.9933,48.9359,-45.906,51.0641,60.2100,224,0.8750,bicubic
tresnet_m,-4,30.9929,-49.803,69.0071,48.6903,-46.166,51.3097,31.3900,224,0.8750,bilinear
gluon_resnext101_64x4d,-2,30.9812,-49.621,69.0188,48.5527,-46.441,51.4473,83.4600,224,0.8750,bicubic
tf_efficientnet_cc_b1_8e,+42,30.9006,-48.397,69.0994,50.0737,-44.290,49.9263,39.7200,240,0.8820,bicubic
ecaresnet101d_pruned,-8,30.8947,-49.913,69.1053,50.0010,-45.627,49.9990,24.8800,224,0.8750,bicubic
gluon_resnext101_32x4d,+4,30.8809,-49.453,69.1191,48.5370,-46.389,51.4630,44.1800,224,0.8750,bicubic
tf_efficientnet_lite4,-26,30.8397,-50.688,69.1603,50.3979,-45.270,49.6021,13.0100,380,0.9200,bilinear
dpn107,+9,30.6805,-49.484,69.3195,48.8062,-46.106,51.1938,86.9200,224,0.8750,bicubic
ese_vovnet39b,+33,30.6766,-48.643,69.3234,49.8929,-44.817,50.1071,24.5700,224,0.8750,bicubic
tresnet_xl_448,-46,30.6196,-52.428,69.3804,49.0715,-47.102,50.9285,78.4400,448,0.8750,bilinear
gluon_resnet152_v1b,+22,30.6176,-49.074,69.3824,48.5292,-46.209,51.4708,60.1900,224,0.8750,bicubic
ssl_resnext50_32x4d,-1,30.5940,-49.734,69.4060,50.6534,-44.751,49.3466,25.0300,224,0.8750,bilinear
gluon_resnet101_v1d,-6,30.5095,-49.914,69.4905,47.9750,-47.045,52.0250,44.5700,224,0.8750,bicubic
resnest26d,+62,30.4997,-47.982,69.5003,50.6770,-43.613,49.3230,17.0700,224,0.8750,bilinear
efficientnet_b2a,-16,30.4231,-50.185,69.5769,49.6748,-45.635,50.3252,9.1100,288,1.0000,bicubic
tf_efficientnet_b1_ap,+32,30.4191,-48.859,69.5809,49.5529,-44.755,50.4471,7.7900,240,0.8820,bicubic
dpn98,+18,30.0576,-49.578,69.9424,48.2403,-46.354,51.7597,61.5700,224,0.8750,bicubic
tf_efficientnet_b2,+2,30.0202,-50.070,69.9798,49.5903,-45.316,50.4097,9.1100,260,0.8900,bicubic
dpn131,+9,30.0143,-49.814,69.9857,48.1440,-46.560,51.8560,79.2500,224,0.8750,bicubic
senet154,-35,30.0006,-51.303,69.9994,48.0320,-47.466,51.9680,115.0900,224,0.8750,bilinear
dpn92,=,29.9691,-50.047,70.0309,49.1599,-45.678,50.8401,37.6700,224,0.8750,bicubic
gluon_senet154,-36,29.8866,-51.337,70.1134,47.8728,-47.483,52.1272,115.0900,224,0.8750,bicubic
xception,+34,29.8493,-49.199,70.1507,48.6903,-45.702,51.3097,22.8600,299,0.8975,bicubic
adv_inception_v3,+80,29.8237,-47.756,70.1763,47.8669,-45.857,52.1331,23.8300,299,0.8750,bicubic
resnetblur50,+22,29.6233,-49.667,70.3767,48.2501,-46.382,51.7499,25.5600,224,0.8750,bicubic
efficientnet_b2,-18,29.6174,-50.785,70.3826,48.7728,-46.303,51.2272,9.1100,260,0.8750,bicubic
gluon_xception65,+9,29.5545,-50.049,70.4455,47.5230,-47.225,52.4770,39.9200,299,0.8750,bicubic
resnext101_32x8d,+15,29.4347,-49.877,70.5653,48.4820,-46.044,51.5180,88.7900,224,0.8750,bilinear
ssl_resnet50,+20,29.4229,-49.805,70.5771,49.7730,-45.059,50.2270,25.5600,224,0.8750,bilinear
resnext50_32x4d,=,29.3285,-50.434,70.6715,47.3953,-47.205,52.6047,25.0300,224,0.8750,bicubic
ecaresnet50d_pruned,=,29.2165,-50.502,70.7835,48.4584,-46.432,51.5416,19.9400,224,0.8750,bicubic
tresnet_l_448,-61,29.1674,-53.101,70.8326,47.2342,-48.744,52.7658,55.9900,448,0.8750,bilinear
gluon_inception_v3,+32,29.1143,-49.690,70.8857,46.9433,-47.437,53.0567,23.8300,299,0.8750,bicubic
hrnet_w64,+5,28.9866,-50.485,71.0134,47.1399,-47.510,52.8601,128.0600,224,0.8750,bilinear
tf_efficientnet_b0_ns,+37,28.9139,-49.738,71.0861,49.0106,-45.357,50.9894,5.2900,224,0.8750,bicubic
tf_efficientnet_b1,+28,28.8923,-49.940,71.1077,47.5112,-46.685,52.4888,7.7900,240,0.8820,bicubic
gluon_resnet101_v1b,+8,28.8569,-50.447,71.1431,46.3715,-48.153,53.6285,44.5500,224,0.8750,bicubic
skresnext50_32x4d,-19,28.8176,-51.332,71.1824,46.5032,-48.141,53.4968,27.4800,224,0.8750,bicubic
tf_efficientnet_lite3,-10,28.6545,-51.157,71.3455,47.3580,-47.556,52.6420,8.2000,300,0.9040,bilinear
hrnet_w40,+20,28.6447,-50.289,71.3553,47.4425,-47.024,52.5575,57.5600,224,0.8750,bilinear
gluon_seresnext50_32x4d,-16,28.6408,-51.271,71.3592,46.4501,-48.368,53.5499,27.5600,224,0.8750,bicubic
skresnet34,+81,28.6290,-48.281,71.3710,47.9573,-45.359,52.0427,22.2800,224,0.8750,bicubic
resnet152,+40,28.5347,-49.777,71.4653,47.1143,-46.932,52.8857,60.1900,224,0.8750,bilinear
hrnet_w48,=,28.4069,-50.903,71.5931,47.5741,-46.944,52.4259,77.4700,224,0.8750,bilinear
gluon_resnext50_32x4d,-4,28.3833,-50.973,71.6167,45.3261,-49.098,54.6739,25.0300,224,0.8750,bicubic
efficientnet_b2_pruned,-23,28.3657,-51.552,71.6343,47.0593,-47.789,52.9407,8.3100,260,0.8900,bicubic
tf_efficientnet_b0_ap,+72,28.3499,-48.734,71.6501,47.5309,-45.723,52.4691,5.2900,224,0.8750,bicubic
dla102x2,-8,28.3185,-51.133,71.6815,46.7567,-47.887,53.2433,41.7500,224,0.8750,bilinear
dla169,+19,28.3106,-50.399,71.6894,47.3992,-46.939,52.6008,53.9900,224,0.8750,bilinear
tf_efficientnet_cc_b0_4e,+62,28.3106,-48.993,71.6894,47.3639,-45.968,52.6361,13.3100,224,0.8750,bicubic
mixnet_xl,-49,28.2930,-52.185,71.7070,46.7174,-48.215,53.2826,11.9000,224,0.8750,bicubic
gluon_resnet50_v1d,+3,28.2360,-50.838,71.7640,45.8763,-48.600,54.1237,25.5800,224,0.8750,bicubic
wide_resnet101_2,+10,28.1063,-50.740,71.8937,46.4246,-47.859,53.5754,126.8900,224,0.8750,bilinear
gluon_resnet101_v1c,-16,28.1023,-51.442,71.8977,45.9530,-48.633,54.0470,44.5700,224,0.8750,bicubic
densenet161,+56,28.1004,-49.248,71.8996,46.6506,-46.997,53.3494,28.6800,224,0.8750,bicubic
regnetx_320,-41,28.0788,-52.167,71.9212,45.1198,-49.902,54.8802,107.8100,224,0.8750,bicubic
regnety_320,-61,28.0709,-52.743,71.9291,45.4597,-49.780,54.5403,145.0500,224,0.8750,bicubic
dpn68b,+48,27.8842,-49.630,72.1158,47.4602,-46.362,52.5398,12.6100,224,0.8750,bicubic
regnetx_160,-32,27.8253,-52.041,72.1747,45.6307,-49.197,54.3693,54.2800,224,0.8750,bicubic
tf_inception_v3,+38,27.7860,-50.070,72.2140,45.7113,-47.933,54.2887,23.8300,299,0.8750,bicubic
res2net101_26w_4s,-8,27.7742,-51.422,72.2258,45.1709,-49.269,54.8291,45.2100,224,0.8750,bilinear
regnety_160,-48,27.6386,-52.661,72.3614,45.5344,-49.428,54.4656,83.5900,224,0.8750,bicubic
hrnet_w44,-2,27.6248,-51.269,72.3752,45.8311,-48.539,54.1689,67.0600,224,0.8750,bilinear
inception_v3,+45,27.5698,-49.866,72.4302,45.2613,-48.215,54.7387,23.8300,299,0.8750,bicubic
regnetx_080,-13,27.4106,-51.787,72.5894,45.0215,-49.536,54.9785,39.5700,224,0.8750,bicubic
hrnet_w30,+21,27.3851,-50.811,72.6149,46.5425,-47.678,53.4575,37.7100,224,0.8750,bilinear
hrnet_w32,+13,27.3772,-51.071,72.6228,45.9903,-48.198,54.0097,41.2300,224,0.8750,bilinear
gluon_resnet50_v1s,-1,27.3261,-51.386,72.6739,45.2141,-49.028,54.7859,25.6800,224,0.8750,bicubic
densenet201,+45,27.2613,-50.029,72.7387,46.2241,-47.254,53.7759,20.0100,224,0.8750,bicubic
regnety_064,-38,27.2279,-52.484,72.7721,44.8506,-49.923,55.1494,30.5800,224,0.8750,bicubic
densenetblur121d,+57,27.2240,-49.352,72.7760,46.3067,-46.883,53.6933,8.0000,224,0.8750,bicubic
efficientnet_b1_pruned,+13,27.1945,-51.047,72.8055,45.8724,-47.960,54.1276,6.3300,240,0.8820,bicubic
res2net50_26w_8s,-22,27.0726,-52.137,72.9274,44.4320,-49.930,55.5680,48.4000,224,0.8750,bilinear
dla102x,=,27.0235,-51.484,72.9765,45.4951,-48.739,54.5049,26.7700,224,0.8750,bilinear
resnet101,+35,26.9685,-50.405,73.0315,45.2357,-48.310,54.7643,44.5500,224,0.8750,bilinear
resnext50d_32x4d,-42,26.8742,-52.800,73.1258,44.4300,-50.438,55.5700,25.0500,224,0.8750,bicubic
regnetx_120,-40,26.8644,-52.726,73.1356,44.6816,-50.058,55.3184,46.1100,224,0.8750,bicubic
seresnext101_32x4d,-62,26.8192,-53.417,73.1808,43.5084,-51.520,56.4916,48.9600,224,0.8750,bilinear
densenet169,+55,26.8113,-49.101,73.1887,45.3752,-47.649,54.6248,14.1500,224,0.8750,bicubic
regnetx_064,-24,26.8015,-52.264,73.1985,44.9036,-49.552,55.0964,26.2100,224,0.8750,bicubic
regnety_120,-72,26.7818,-53.600,73.2182,44.4399,-50.688,55.5601,51.8200,224,0.8750,bicubic
regnetx_032,+6,26.7071,-51.459,73.2929,45.2259,-48.854,54.7741,15.3000,224,0.8750,bicubic
densenet121,+55,26.6757,-48.898,73.3243,45.8999,-46.756,54.1001,7.9800,224,0.8750,bicubic
seresnet152,-13,26.6718,-51.986,73.3282,43.9447,-50.429,56.0553,66.8200,224,0.8750,bilinear
tf_efficientnet_el,-79,26.6226,-53.825,73.3774,44.6364,-50.524,55.3636,10.5900,300,0.9040,bicubic
efficientnet_es,+4,26.6168,-51.437,73.3832,45.1060,-48.824,54.8940,5.4400,224,0.8750,bicubic
res2net50_26w_6s,-14,26.5873,-51.987,73.4127,43.9781,-50.148,56.0219,37.0500,224,0.8750,bilinear
dla60x,-4,26.5637,-51.678,73.4363,45.0392,-48.983,54.9608,17.6500,224,0.8750,bilinear
regnety_080,-63,26.5146,-53.353,73.4854,44.3554,-50.477,55.6446,39.1800,224,0.8750,bicubic
tf_efficientnet_b0,+34,26.4910,-50.349,73.5090,45.6562,-47.570,54.3438,5.2900,224,0.8750,bicubic
res2net50_14w_8s,-2,26.4713,-51.681,73.5287,44.3691,-49.473,55.6309,25.0600,224,0.8750,bilinear
gluon_resnet50_v1b,+13,26.4320,-51.146,73.5680,44.0331,-49.685,55.9669,25.5600,224,0.8750,bicubic
regnetx_040,-18,26.2395,-52.247,73.7605,44.4241,-49.818,55.5759,22.1200,224,0.8750,bicubic
dpn68,+37,26.1216,-50.184,73.8784,44.2335,-48.736,55.7665,12.6100,224,0.8750,bicubic
hrnet_w18,+30,25.9761,-50.780,74.0239,44.8093,-48.633,55.1907,21.3000,224,0.8750,bilinear
regnety_040,-46,25.9133,-53.309,74.0867,43.8543,-50.802,56.1457,20.6500,224,0.8750,bicubic
resnet34,+49,25.8838,-49.228,74.1162,43.9899,-48.298,56.0101,21.8000,224,0.8750,bilinear
res2net50_26w_4s,-2,25.8700,-52.076,74.1300,43.1606,-50.691,56.8394,25.7000,224,0.8750,bilinear
tresnet_m_448,-121,25.8504,-55.862,74.1496,42.8678,-52.702,57.1322,31.3900,448,0.8750,bilinear
gluon_resnet50_v1c,-8,25.7954,-52.215,74.2046,43.0172,-50.971,56.9828,25.5800,224,0.8750,bicubic
selecsls60,-6,25.7285,-52.254,74.2715,44.0685,-49.764,55.9315,30.6700,224,0.8750,bicubic
dla60_res2net,-25,25.6421,-52.830,74.3579,43.5890,-50.615,56.4110,21.1500,224,0.8750,bilinear
dla60_res2next,-24,25.6382,-52.810,74.3618,43.6696,-50.474,56.3304,17.3300,224,0.8750,bilinear
tf_efficientnet_lite1,+23,25.5065,-51.132,74.4935,43.5831,-49.649,56.4169,5.4200,240,0.8820,bicubic
mixnet_l,-46,25.4986,-53.477,74.5014,43.4632,-50.721,56.5368,7.3300,224,0.8750,bicubic
efficientnet_b1,-37,25.4829,-53.215,74.5171,43.2864,-50.866,56.7136,7.7900,240,0.8750,bicubic
tv_resnext50_32x4d,-5,25.4692,-52.149,74.5308,42.7912,-50.907,57.2088,25.0300,224,0.8750,bilinear
tf_mixnet_l,-42,25.4200,-53.350,74.5800,42.5436,-51.460,57.4564,7.3300,224,0.8750,bicubic
res2next50,-23,25.3945,-52.848,74.6055,42.4925,-51.400,57.5075,24.6700,224,0.8750,bilinear
selecsls60b,-29,25.3277,-53.090,74.6723,43.5536,-50.612,56.4464,32.7700,224,0.8750,bicubic
seresnet101,-29,25.3277,-53.068,74.6723,42.8285,-51.429,57.1715,49.3300,224,0.8750,bilinear
regnety_032,-50,25.3237,-53.546,74.6763,42.9071,-51.495,57.0929,19.4400,224,0.8750,bicubic
dla102,-22,25.3139,-52.712,74.6861,43.8366,-50.113,56.1634,33.7300,224,0.8750,bilinear
wide_resnet50_2,-36,25.3100,-53.158,74.6900,42.1781,-51.908,57.8219,68.8800,224,0.8750,bilinear
resnest14d,+25,25.2825,-50.221,74.7175,44.1215,-48.392,55.8785,10.6100,224,0.8750,bilinear
seresnext50_32x4d,-62,25.2176,-53.858,74.7824,41.9383,-52.496,58.0617,27.5600,224,0.8750,bilinear
res2net50_48w_2s,-10,25.0231,-52.491,74.9769,42.2017,-51.346,57.7983,25.2900,224,0.8750,bilinear
efficientnet_b0,-18,25.0152,-52.677,74.9848,42.7853,-50.747,57.2147,5.2900,224,0.8750,bicubic
gluon_resnet34_v1b,+35,24.9484,-49.632,75.0516,42.2370,-49.751,57.7630,21.8000,224,0.8750,bicubic
mobilenetv2_120d,-7,24.9327,-52.361,75.0673,43.0643,-50.438,56.9357,5.8300,224,0.8750,bicubic
dla60,-1,24.9268,-52.097,75.0732,43.3021,-50.006,56.6979,22.3300,224,0.8750,bilinear
regnety_016,-23,24.8187,-53.033,75.1813,42.6261,-51.090,57.3739,11.2000,224,0.8750,bicubic
tf_efficientnet_em,-53,24.5338,-54.164,75.4662,42.4100,-51.910,57.5900,6.9000,240,0.8820,bicubic
tf_efficientnet_lite2,-16,24.5299,-52.930,75.4701,42.2920,-51.454,57.7080,6.0900,260,0.8900,bicubic
skresnet18,+36,24.4945,-48.549,75.5055,42.5377,-48.640,57.4623,11.9600,224,0.8750,bicubic
regnetx_016,-4,24.4768,-52.453,75.5232,42.5023,-50.916,57.4977,9.1900,224,0.8750,bicubic
tf_efficientnet_lite0,+22,24.3707,-50.471,75.6293,42.5102,-49.660,57.4898,4.6500,224,0.8750,bicubic
tv_resnet50,+4,24.0917,-52.038,75.9083,41.3095,-51.553,58.6905,25.5600,224,0.8750,bilinear
seresnet34,+21,24.0366,-50.771,75.9634,41.8951,-50.231,58.1049,21.9600,224,0.8750,bilinear
tv_densenet121,+21,23.8460,-50.906,76.1540,41.9207,-50.231,58.0793,7.9800,224,0.8750,bicubic
tf_efficientnet_es,-16,23.8244,-53.440,76.1756,41.3193,-52.281,58.6807,5.4400,224,0.8750,bicubic
mobilenetv2_140,-3,23.7104,-52.814,76.2896,41.4687,-51.521,58.5313,6.1100,224,0.8750,bicubic
mixnet_m,-17,23.7085,-53.547,76.2915,41.1386,-52.279,58.8614,5.0100,224,0.8750,bicubic
dla34,+19,23.6770,-50.959,76.3230,41.5434,-50.521,58.4566,15.7800,224,0.8750,bilinear
seresnet50,-34,23.6436,-53.992,76.3564,40.0814,-53.671,59.9186,28.0900,224,0.8750,bilinear
tf_mixnet_m,-15,23.4786,-53.471,76.5214,41.0049,-52.151,58.9951,5.0100,224,0.8750,bicubic
tv_resnet34,+22,23.4727,-49.841,76.5273,41.3665,-50.053,58.6335,21.8000,224,0.8750,bilinear
selecsls42b,-21,23.3665,-53.809,76.6335,40.6768,-52.715,59.3232,32.4600,224,0.8750,bicubic
mobilenetv2_110d,+8,23.0698,-51.982,76.9302,40.7436,-51.436,59.2564,4.5200,224,0.8750,bicubic
mobilenetv3_large_100,-5,22.6650,-53.103,77.3350,40.7848,-51.755,59.2152,5.4800,224,0.8750,bicubic
mobilenetv3_rw,-4,22.6257,-53.002,77.3743,40.3702,-52.340,59.6298,5.4800,224,0.8750,bicubic
tf_mobilenetv3_large_100,-3,22.5707,-52.945,77.4293,39.7591,-52.841,60.2409,5.4800,224,0.8750,bilinear
hrnet_w18_small_v2,+1,22.3408,-52.785,77.6592,39.8475,-52.569,60.1525,15.6000,224,0.8750,bilinear
regnety_008,-14,22.1128,-54.201,77.8872,38.8964,-54.166,61.1036,6.2600,224,0.8750,bicubic
seresnext26tn_32x4d,-52,22.0028,-55.987,77.9972,38.4916,-55.256,61.5084,16.8100,224,0.8750,bicubic
seresnext26t_32x4d,-52,21.9871,-56.001,78.0129,38.5663,-55.140,61.4337,16.8200,224,0.8750,bicubic
regnety_006,-4,21.9733,-53.287,78.0267,38.9534,-53.575,61.0466,6.0600,224,0.8750,bicubic
regnetx_008,=,21.9517,-53.070,78.0483,38.9298,-53.414,61.0702,7.2600,224,0.8750,bicubic
resnet26d,-23,21.9144,-54.766,78.0856,38.6174,-54.549,61.3826,16.0100,224,0.8750,bicubic
semnasnet_100,-9,21.8967,-53.559,78.1033,38.6036,-53.988,61.3964,3.8900,224,0.8750,bicubic
regnetx_006,+6,21.7434,-52.119,78.2566,38.9043,-52.776,61.0957,6.2000,224,0.8750,bicubic
gluon_resnet18_v1b,+16,21.5449,-49.285,78.4551,38.8728,-50.883,61.1272,11.6900,224,0.8750,bicubic
fbnetc_100,-8,21.4919,-53.628,78.5081,38.1654,-54.221,61.8346,5.5700,224,0.8750,bilinear
mnasnet_100,-2,21.3504,-53.306,78.6496,37.7154,-54.411,62.2846,4.3800,224,0.8750,bicubic
resnet26,-13,21.2954,-53.997,78.7046,38.0161,-54.554,61.9839,16.0000,224,0.8750,bicubic
ssl_resnet18,+7,21.2777,-51.322,78.7223,39.1145,-52.301,60.8855,11.6900,224,0.8750,bilinear
mixnet_s,-24,21.2580,-54.730,78.7420,38.1929,-54.601,61.8071,4.1300,224,0.8750,bicubic
seresnext26d_32x4d,-55,21.2541,-56.350,78.7459,37.2851,-56.327,62.7149,16.8100,224,0.8750,bicubic
seresnext26_32x4d,-41,21.0930,-56.007,78.9070,37.6388,-55.671,62.3612,16.7900,224,0.8750,bicubic
regnetx_004,+4,20.8866,-51.519,79.1134,37.5484,-53.282,62.4516,5.1600,224,0.8750,bicubic
spnasnet_100,-6,20.8670,-53.213,79.1330,37.8923,-53.940,62.1077,4.4200,224,0.8750,bilinear
seresnet18,+5,20.8395,-50.918,79.1605,37.6447,-52.689,62.3553,11.7800,224,0.8750,bicubic
mobilenetv2_100,-1,20.7609,-52.217,79.2391,37.7508,-53.265,62.2492,3.5000,224,0.8750,bicubic
tf_mixnet_s,-28,20.4779,-55.170,79.5221,36.6268,-56.009,63.3732,4.1300,224,0.8750,bicubic
regnety_004,-9,20.4170,-53.609,79.5830,37.0296,-54.718,62.9704,4.3400,224,0.8750,bicubic
tf_mobilenetv3_large_075,-8,20.3718,-53.070,79.6282,36.7702,-54.582,63.2298,3.9900,224,0.8750,bilinear
hrnet_w18_small,-2,20.3659,-51.976,79.6341,37.0945,-53.578,62.9055,13.1900,224,0.8750,bilinear
resnet18,+2,20.2283,-49.530,79.7717,37.2595,-51.818,62.7405,11.6900,224,0.8750,bilinear
tf_mobilenetv3_large_minimal_100,-3,20.1163,-52.128,79.8837,36.9038,-53.732,63.0962,3.9200,224,0.8750,bilinear
regnety_002,-1,17.4596,-52.822,82.5404,32.4432,-57.097,67.5568,3.1600,224,0.8750,bicubic
regnetx_002,=,16.9506,-51.803,83.0494,32.2349,-56.313,67.7651,2.6800,224,0.8750,bicubic
dla60x_c,+1,16.3257,-51.582,83.6743,31.7750,-56.659,68.2250,1.3400,224,0.8750,bilinear
tf_mobilenetv3_small_100,-1,16.2334,-51.685,83.7666,31.2229,-56.439,68.7771,2.5400,224,0.8750,bilinear
tf_mobilenetv3_small_075,+1,14.9404,-50.778,85.0596,29.5722,-56.564,70.4278,2.0400,224,0.8750,bilinear
dla46_c,+1,14.6613,-50.217,85.3387,29.3737,-56.912,70.6263,1.3100,224,0.8750,bilinear
dla46x_c,-2,14.3803,-51.600,85.6197,29.1772,-57.803,70.8228,1.0800,224,0.8750,bilinear
tf_mobilenetv3_small_minimal_100,=,13.9677,-48.930,86.0323,27.9805,-56.250,72.0195,2.0400,224,0.8750,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 58.8143 -26.628 41.1857 81.0863 -16.486 18.9137 828.41 828.4100 224 0.875 0.8750 bilinear
3 ig_resnext101_32x32d +9 58.38 58.3800 -26.712 41.62 41.6200 80.3789 -17.057 19.6211 468.53 468.5300 224 0.875 0.8750 bilinear
4 ig_resnext101_32x16d +14 57.7001 -26.476 42.2999 79.9131 -17.283 20.0869 194.03 194.0300 224 0.875 0.8750 bilinear
5 swsl_resnext101_32x16d +18 57.4663 -25.872 42.5337 80.3808 -16.471 19.6192 194.03 194.0300 224 0.875 0.8750 bilinear
6 swsl_resnext101_32x8d +9 56.4346 -27.859 43.5654 78.9345 -18.239 21.0655 88.79 88.7900 224 0.875 0.8750 bilinear
7 ig_resnext101_32x8d +23 54.9176 -27.770 45.0824 77.5452 -19.087 22.4548 88.79 88.7900 224 0.875 0.8750 bilinear
8 swsl_resnext101_32x4d +17 53.5911 -29.643 46.4089 76.3387 -20.417 23.6613 44.18 44.1800 224 0.875 0.8750 bilinear
9 tf_efficientnet_l2_ns_475 -6 51.4866 -36.747 48.5134 73.9295 -24.617 26.0705 480.31 480.3100 475 0.936 0.9360 bicubic
10 swsl_resnext50_32x4d +24 50.449 50.4490 -31.731 49.551 49.5510 73.3577 -22.870 26.6423 25.03 25.0300 224 0.875 0.8750 bilinear
11 swsl_resnet50 +38 49.551 49.5510 -31.629 50.449 50.4490 72.3319 -23.654 27.6681 25.56 25.5600 224 0.875 0.8750 bilinear
12 tf_efficientnet_b7_ns -8 47.8001 -39.038 52.1999 69.6378 -28.456 30.3622 66.35 66.3500 600 0.949 0.9490 bicubic
13 tf_efficientnet_b6_ns -8 47.751 47.7510 -38.711 52.249 52.2490 69.9621 -27.922 30.0379 43.04 43.0400 528 0.942 0.9420 bicubic
14 tf_efficientnet_l2_ns -12 47.5702 -40.782 52.4298 70.0171 -28.631 29.9829 480.31 480.3100 800 0.96 0.9600 bicubic
15 tf_efficientnet_b8_ap -6 45.7781 -39.590 54.2219 67.9047 -29.389 32.0953 87.41 87.4100 672 0.954 0.9540 bicubic
16 tf_efficientnet_b5_ns -10 45.6071 -40.473 54.3929 67.8516 -29.902 32.1484 30.39 30.3900 456 0.934 0.9340 bicubic
17 tf_efficientnet_b4_ns -7 43.4554 -41.703 56.5446 65.5132 -31.955 34.4868 19.34 19.3400 380 0.922 0.9220 bicubic
18 tf_efficientnet_b8 -10 42.5023 -42.868 57.4977 64.8745 -32.518 35.1255 87.41 87.4100 672 0.954 0.9540 bicubic
19 tf_efficientnet_b7 -6 41.4372 -43.495 58.5628 63.0274 -34.181 36.9726 66.35 66.3500 600 0.949 0.9490 bicubic
20 tf_efficientnet_b7_ap -9 41.4333 -43.685 58.5667 62.8761 -34.376 37.1239 66.35 66.3500 600 0.949 0.9490 bicubic
21 tf_efficientnet_b5_ap -5 41.4196 -42.834 58.5804 62.0822 -34.894 37.9178 30.39 30.3900 456 0.934 0.9340 bicubic
22 tf_efficientnet_b6_ap -8 41.0914 -43.695 58.9086 62.3593 -34.779 37.6407 43.04 43.0400 528 0.942 0.9420 bicubic
23 tf_efficientnet_b4_ap +1 40.4763 -42.772 59.5237 61.7127 -34.675 38.2873 19.34 19.3400 380 0.922 0.9220 bicubic
24 tf_efficientnet_b3_ns -4 39.5822 -44.472 60.4178 61.4632 -35.449 38.5368 12.23 12.2300 300 0.904 0.9040 bicubic
25 tf_efficientnet_b5 -3 38.3285 -45.488 61.6715 59.9285 -36.822 40.0715 30.39 30.3900 456 0.934 0.9340 bicubic
26 tf_efficientnet_b3_ap +13 37.0611 -44.767 62.9389 57.2363 -38.388 42.7637 12.23 12.2300 300 0.904 0.9040 bicubic
27 resnest269e -10 36.67 36.6700 -47.516 63.33 63.3300 56.8099 -40.112 43.1901 110.93 110.9300 416 0.875 0.8750 bilinear
28 tf_efficientnet_b2_ns +4 36.1768 -46.203 63.8232 57.5547 -38.697 42.4453 9.11 9.1100 260 0.89 0.8900 bicubic
29 ecaresnet101d +6 36.0058 -46.160 63.9942 56.1536 -39.898 43.8464 44.57 44.5700 224 0.875 0.8750 bicubic
30 swsl_resnet18 +192 35.8604 -37.426 64.1396 58.437 58.4370 -33.295 41.563 41.5630 11.69 11.6900 224 0.875 0.8750 bilinear
31 resnest200e -10 35.8466 -47.987 64.1534 55.8903 -40.948 44.1097 70.2 70.2000 320 0.875 0.8750 bilinear
32 resnest101e -4 35.3652 -47.525 64.6348 55.7861 -40.538 44.2139 48.28 48.2800 256 0.875 0.8750 bilinear
33 ssl_resnext101_32x16d +5 34.6087 -47.227 65.3913 55.9139 -40.180 44.0861 194.03 194.0300 224 0.875 0.8750 bilinear
34 resnest50d_4s2x40d +16 34.3611 -46.753 65.6389 54.7112 -40.857 45.2888 30.42 30.4200 224 0.875 0.8750 bicubic
35 tf_efficientnet_b1_ns +11 34.1528 -47.233 65.8472 55.4894 -40.249 44.5106 7.79 7.7900 240 0.882 0.8820 bicubic
36 tf_efficientnet_b4 -9 34.0624 -48.954 65.9376 54.216 54.2160 -42.082 45.784 45.7840 19.34 19.3400 380 0.922 0.9220 bicubic
37 ssl_resnext101_32x8d +5 34.0211 -47.605 65.9789 55.5935 -40.444 44.4065 88.79 88.7900 224 0.875 0.8750 bilinear
38 tf_efficientnet_b6 -19 34.0054 -50.107 65.9946 54.5403 -42.344 45.4597 43.04 43.0400 528 0.942 0.9420 bicubic
39 efficientnet_b3_pruned +18 33.9956 -46.860 66.0044 54.1099 -41.130 45.8901 9.86 9.8600 300 0.904 0.9040 bicubic
40 tresnet_xl -4 33.2587 -48.811 66.7413 52.2962 -43.632 47.7038 78.44 78.4400 224 0.875 0.8750 bilinear
41 resnest50d_1s4x24d +11 33.1388 -47.851 66.8612 52.8307 -42.491 47.1693 25.68 25.6800 224 0.875 0.8750 bicubic
42 resnest50d +11 32.9678 -47.990 67.0322 52.701 52.7010 -42.681 47.299 47.2990 27.48 27.4800 224 0.875 0.8750 bilinear
43 tf_efficientnet_b3 -2 32.8637 -48.776 67.1363 52.9623 -42.760 47.0377 12.23 12.2300 300 0.904 0.9040 bicubic
44 inception_resnet_v2 +22 32.736 32.7360 -47.724 67.264 67.2640 50.6396 -44.670 49.3604 55.84 55.8400 299 0.8975 bicubic
45 gluon_resnet152_v1d +20 32.7301 -47.740 67.2699 51.0837 -44.122 48.9163 60.21 60.2100 224 0.875 0.8750 bicubic
46 tf_efficientnet_b2_ap +28 32.679 32.6790 -47.627 67.321 67.3210 52.2333 -42.795 47.7667 9.11 9.1100 260 0.89 0.8900 bicubic
47 nasnetalarge -16 32.5827 -49.975 67.4173 49.7868 -46.249 50.2132 88.75 88.7500 331 0.875 0.8750 bicubic
48 tresnet_l -3 32.567 32.5670 -48.921 67.433 67.4330 51.1407 -44.487 48.8593 55.99 55.9900 224 0.875 0.8750 bilinear
49 pnasnet5large -20 32.5316 -50.208 67.4684 50.1877 -45.852 49.8123 86.06 86.0600 331 0.875 0.8750 bicubic
50 ens_adv_inception_resnet_v2 +34 32.3705 -47.605 67.6295 50.4274 -44.519 49.5726 55.84 55.8400 299 0.8975 bicubic
51 gluon_resnet152_v1s = 32.3312 -48.681 67.6688 50.5394 -44.877 49.4606 60.32 60.3200 224 0.875 0.8750 bicubic
52 gluon_seresnext101_64x4d +4 32.1936 -48.696 67.8064 50.3272 -44.977 49.6728 88.23 88.2300 224 0.875 0.8750 bicubic
53 gluon_seresnext101_32x4d +2 32.115 32.1150 -48.787 67.885 67.8850 51.2409 -44.053 48.7591 48.96 48.9600 224 0.875 0.8750 bicubic
54 efficientnet_b3a -17 31.7279 -50.146 68.2721 51.3215 -44.519 48.6785 12.23 12.2300 320 1.0 1.0000 bicubic
55 efficientnet_b3 -11 31.5648 -49.933 68.4352 51.2724 -44.446 48.7276 12.23 12.2300 300 0.904 0.9040 bicubic
56 resnet50 +64 31.5451 -47.487 68.4549 50.1719 -44.212 49.8281 25.56 25.5600 224 0.875 0.8750 bicubic
57 ssl_resnext101_32x4d -3 31.4331 -49.495 68.5669 52.1154 -43.613 47.8846 44.18 44.1800 224 0.875 0.8750 bilinear
58 inception_v4 +22 31.382 31.3820 -48.774 68.618 68.6180 49.2366 -45.737 50.7634 42.68 42.6800 299 0.875 0.8750 bicubic
59 ecaresnetlight +8 31.1325 -49.321 68.8675 50.2525 -45.004 49.7475 30.16 30.1600 224 0.875 0.8750 bicubic
60 gluon_resnet101_v1s +15 31.1128 -49.187 68.8872 49.7907 -45.359 50.2093 44.67 44.6700 224 0.875 0.8750 bicubic
61 tf_efficientnet_cc_b0_8e +98 31.0814 -46.827 68.9186 50.7733 -42.883 49.2267 24.01 24.0100 224 0.875 0.8750 bicubic
62 ecaresnet50d = 31.0637 -49.540 68.9363 50.846 50.8460 -44.476 49.154 49.1540 25.58 25.5800 224 0.875 0.8750 bicubic
63 gluon_resnet152_v1c +23 31.0067 -48.909 68.9933 48.9359 -45.906 51.0641 60.21 60.2100 224 0.875 0.8750 bicubic
64 tresnet_m -4 30.9929 -49.803 69.0071 48.6903 -46.166 51.3097 31.39 31.3900 224 0.875 0.8750 bilinear
65 gluon_resnext101_64x4d -2 30.9812 -49.621 69.0188 48.5527 -46.441 51.4473 83.46 83.4600 224 0.875 0.8750 bicubic
66 tf_efficientnet_cc_b1_8e +42 30.9006 -48.397 69.0994 50.0737 -44.290 49.9263 39.72 39.7200 240 0.882 0.8820 bicubic
67 ecaresnet101d_pruned -8 30.8947 -49.913 69.1053 50.001 50.0010 -45.627 49.999 49.9990 24.88 24.8800 224 0.875 0.8750 bicubic
68 gluon_resnext101_32x4d +4 30.8809 -49.453 69.1191 48.537 48.5370 -46.389 51.463 51.4630 44.18 44.1800 224 0.875 0.8750 bicubic
69 tf_efficientnet_lite4 -26 30.8397 -50.688 69.1603 50.3979 -45.270 49.6021 13.01 13.0100 380 0.92 0.9200 bilinear
70 dpn107 +9 30.6805 -49.484 69.3195 48.8062 -46.106 51.1938 86.92 86.9200 224 0.875 0.8750 bicubic
71 ese_vovnet39b +33 30.6766 -48.643 69.3234 49.8929 -44.817 50.1071 24.57 24.5700 224 0.875 0.8750 bicubic
72 tresnet_xl_448 -46 30.6196 -52.428 69.3804 49.0715 -47.102 50.9285 78.44 78.4400 448 0.875 0.8750 bilinear
73 gluon_resnet152_v1b +22 30.6176 -49.074 69.3824 48.5292 -46.209 51.4708 60.19 60.1900 224 0.875 0.8750 bicubic
74 ssl_resnext50_32x4d -1 30.594 30.5940 -49.734 69.406 69.4060 50.6534 -44.751 49.3466 25.03 25.0300 224 0.875 0.8750 bilinear
75 gluon_resnet101_v1d -6 30.5095 -49.914 69.4905 47.975 47.9750 -47.045 52.025 52.0250 44.57 44.5700 224 0.875 0.8750 bicubic
76 resnest26d +62 30.4997 -47.982 69.5003 50.677 50.6770 -43.613 49.323 49.3230 17.07 17.0700 224 0.875 0.8750 bilinear
77 efficientnet_b2a -16 30.4231 -50.185 69.5769 49.6748 -45.635 50.3252 9.11 9.1100 288 1.0 1.0000 bicubic
78 tf_efficientnet_b1_ap +32 30.4191 -48.859 69.5809 49.5529 -44.755 50.4471 7.79 7.7900 240 0.882 0.8820 bicubic
79 dpn98 +18 30.0576 -49.578 69.9424 48.2403 -46.354 51.7597 61.57 61.5700 224 0.875 0.8750 bicubic
80 tf_efficientnet_b2 +2 30.0202 -50.070 69.9798 49.5903 -45.316 50.4097 9.11 9.1100 260 0.89 0.8900 bicubic
81 dpn131 +9 30.0143 -49.814 69.9857 48.144 48.1440 -46.560 51.856 51.8560 79.25 79.2500 224 0.875 0.8750 bicubic
82 senet154 -35 30.0006 -51.303 69.9994 48.032 48.0320 -47.466 51.968 51.9680 115.09 115.0900 224 0.875 0.8750 bilinear
83 dpn92 = 29.9691 -50.047 70.0309 49.1599 -45.678 50.8401 37.67 37.6700 224 0.875 0.8750 bicubic
84 gluon_senet154 -36 29.8866 -51.337 70.1134 47.8728 -47.483 52.1272 115.09 115.0900 224 0.875 0.8750 bicubic
85 xception +34 29.8493 -49.199 70.1507 48.6903 -45.702 51.3097 22.86 22.8600 299 0.8975 bicubic
86 adv_inception_v3 +80 29.8237 -47.756 70.1763 47.8669 -45.857 52.1331 23.83 23.8300 299 0.875 0.8750 bicubic
87 resnetblur50 +22 29.6233 -49.667 70.3767 48.2501 -46.382 51.7499 25.56 25.5600 224 0.875 0.8750 bicubic
88 efficientnet_b2 -18 29.6174 -50.785 70.3826 48.7728 -46.303 51.2272 9.11 9.1100 260 0.875 0.8750 bicubic
89 gluon_xception65 +9 29.5545 -50.049 70.4455 47.523 47.5230 -47.225 52.477 52.4770 39.92 39.9200 299 0.875 0.8750 bicubic
90 resnext101_32x8d +15 29.4347 -49.877 70.5653 48.482 48.4820 -46.044 51.518 51.5180 88.79 88.7900 224 0.875 0.8750 bilinear
91 ssl_resnet50 +20 29.4229 -49.805 70.5771 49.773 49.7730 -45.059 50.227 50.2270 25.56 25.5600 224 0.875 0.8750 bilinear
92 resnext50_32x4d = 29.3285 -50.434 70.6715 47.3953 -47.205 52.6047 25.03 25.0300 224 0.875 0.8750 bicubic
93 ecaresnet50d_pruned = 29.2165 -50.502 70.7835 48.4584 -46.432 51.5416 19.94 19.9400 224 0.875 0.8750 bicubic
94 tresnet_l_448 -61 29.1674 -53.101 70.8326 47.2342 -48.744 52.7658 55.99 55.9900 448 0.875 0.8750 bilinear
95 gluon_inception_v3 +32 29.1143 -49.690 70.8857 46.9433 -47.437 53.0567 23.83 23.8300 299 0.875 0.8750 bicubic
96 hrnet_w64 +5 28.9866 -50.485 71.0134 47.1399 -47.510 52.8601 128.06 128.0600 224 0.875 0.8750 bilinear
97 tf_efficientnet_b0_ns +37 28.9139 -49.738 71.0861 49.0106 -45.357 50.9894 5.29 5.2900 224 0.875 0.8750 bicubic
98 tf_efficientnet_b1 +28 28.8923 -49.940 71.1077 47.5112 -46.685 52.4888 7.79 7.7900 240 0.882 0.8820 bicubic
99 gluon_resnet101_v1b +8 28.8569 -50.447 71.1431 46.3715 -48.153 53.6285 44.55 44.5500 224 0.875 0.8750 bicubic
100 skresnext50_32x4d -19 28.8176 -51.332 71.1824 46.5032 -48.141 53.4968 27.48 27.4800 224 0.875 0.8750 bicubic
101 tf_efficientnet_lite3 -10 28.6545 -51.157 71.3455 47.358 47.3580 -47.556 52.642 52.6420 8.2 8.2000 300 0.904 0.9040 bilinear
102 hrnet_w40 +20 28.6447 -50.289 71.3553 47.4425 -47.024 52.5575 57.56 57.5600 224 0.875 0.8750 bilinear
103 gluon_seresnext50_32x4d -16 28.6408 -51.271 71.3592 46.4501 -48.368 53.5499 27.56 27.5600 224 0.875 0.8750 bicubic
104 skresnet34 +81 28.629 28.6290 -48.281 71.371 71.3710 47.9573 -45.359 52.0427 22.28 22.2800 224 0.875 0.8750 bicubic
105 resnet152 +40 28.5347 -49.777 71.4653 47.1143 -46.932 52.8857 60.19 60.1900 224 0.875 0.8750 bilinear
106 hrnet_w48 = 28.4069 -50.903 71.5931 47.5741 -46.944 52.4259 77.47 77.4700 224 0.875 0.8750 bilinear
107 gluon_resnext50_32x4d -4 28.3833 -50.973 71.6167 45.3261 -49.098 54.6739 25.03 25.0300 224 0.875 0.8750 bicubic
108 efficientnet_b2_pruned -23 28.3657 -51.552 71.6343 47.0593 -47.789 52.9407 8.31 8.3100 260 0.89 0.8900 bicubic
109 tf_efficientnet_b0_ap +72 28.3499 -48.734 71.6501 47.5309 -45.723 52.4691 5.29 5.2900 224 0.875 0.8750 bicubic
110 dla102x2 -8 28.3185 -51.133 71.6815 46.7567 -47.887 53.2433 41.75 41.7500 224 0.875 0.8750 bilinear
111 dla169 +19 28.3106 -50.399 71.6894 47.3992 -46.939 52.6008 53.99 53.9900 224 0.875 0.8750 bilinear
112 tf_efficientnet_cc_b0_4e +62 28.3106 -48.993 71.6894 47.3639 -45.968 52.6361 13.31 13.3100 224 0.875 0.8750 bicubic
113 mixnet_xl -49 28.293 28.2930 -52.185 71.707 71.7070 46.7174 -48.215 53.2826 11.9 11.9000 224 0.875 0.8750 bicubic
114 gluon_resnet50_v1d +3 28.236 28.2360 -50.838 71.764 71.7640 45.8763 -48.600 54.1237 25.58 25.5800 224 0.875 0.8750 bicubic
115 wide_resnet101_2 +10 28.1063 -50.740 71.8937 46.4246 -47.859 53.5754 126.89 126.8900 224 0.875 0.8750 bilinear
116 gluon_resnet101_v1c -16 28.1023 -51.442 71.8977 45.953 45.9530 -48.633 54.047 54.0470 44.57 44.5700 224 0.875 0.8750 bicubic
117 densenet161 +56 28.1004 -49.248 71.8996 46.6506 -46.997 53.3494 28.68 28.6800 224 0.875 0.8750 bicubic
118 regnetx_320 -41 28.0788 -52.167 71.9212 45.1198 -49.902 54.8802 107.81 107.8100 224 0.875 0.8750 bicubic
119 regnety_320 -61 28.0709 -52.743 71.9291 45.4597 -49.780 54.5403 145.05 145.0500 224 0.875 0.8750 bicubic
120 dpn68b +48 27.8842 -49.630 72.1158 47.4602 -46.362 52.5398 12.61 12.6100 224 0.875 0.8750 bicubic
121 regnetx_160 -32 27.8253 -52.041 72.1747 45.6307 -49.197 54.3693 54.28 54.2800 224 0.875 0.8750 bicubic
122 tf_inception_v3 +38 27.786 27.7860 -50.070 72.214 72.2140 45.7113 -47.933 54.2887 23.83 23.8300 299 0.875 0.8750 bicubic
123 res2net101_26w_4s -8 27.7742 -51.422 72.2258 45.1709 -49.269 54.8291 45.21 45.2100 224 0.875 0.8750 bilinear
124 regnety_160 -48 27.6386 -52.661 72.3614 45.5344 -49.428 54.4656 83.59 83.5900 224 0.875 0.8750 bicubic
125 hrnet_w44 -2 27.6248 -51.269 72.3752 45.8311 -48.539 54.1689 67.06 67.0600 224 0.875 0.8750 bilinear
126 inception_v3 +45 27.5698 -49.866 72.4302 45.2613 -48.215 54.7387 23.83 23.8300 299 0.875 0.8750 bicubic
127 regnetx_080 -13 27.4106 -51.787 72.5894 45.0215 -49.536 54.9785 39.57 39.5700 224 0.875 0.8750 bicubic
128 hrnet_w30 +21 27.3851 -50.811 72.6149 46.5425 -47.678 53.4575 37.71 37.7100 224 0.875 0.8750 bilinear
129 hrnet_w32 +13 27.3772 -51.071 72.6228 45.9903 -48.198 54.0097 41.23 41.2300 224 0.875 0.8750 bilinear
130 gluon_resnet50_v1s -1 27.3261 -51.386 72.6739 45.2141 -49.028 54.7859 25.68 25.6800 224 0.875 0.8750 bicubic
131 densenet201 +45 27.2613 -50.029 72.7387 46.2241 -47.254 53.7759 20.01 20.0100 224 0.875 0.8750 bicubic
132 regnety_064 -38 27.2279 -52.484 72.7721 44.8506 -49.923 55.1494 30.58 30.5800 224 0.875 0.8750 bicubic
133 densenetblur121d +57 27.224 27.2240 -49.352 72.776 72.7760 46.3067 -46.883 53.6933 8.0 8.0000 224 0.875 0.8750 bicubic
134 efficientnet_b1_pruned +13 27.1945 -51.047 72.8055 45.8724 -47.960 54.1276 6.33 6.3300 240 0.882 0.8820 bicubic
135 res2net50_26w_8s -22 27.0726 -52.137 72.9274 44.432 44.4320 -49.930 55.568 55.5680 48.4 48.4000 224 0.875 0.8750 bilinear
136 dla102x = 27.0235 -51.484 72.9765 45.4951 -48.739 54.5049 26.77 26.7700 224 0.875 0.8750 bilinear
137 resnet101 +35 26.9685 -50.405 73.0315 45.2357 -48.310 54.7643 44.55 44.5500 224 0.875 0.8750 bilinear
138 resnext50d_32x4d -42 26.8742 -52.800 73.1258 44.43 44.4300 -50.438 55.57 55.5700 25.05 25.0500 224 0.875 0.8750 bicubic
139 regnetx_120 -40 26.8644 -52.726 73.1356 44.6816 -50.058 55.3184 46.11 46.1100 224 0.875 0.8750 bicubic
140 seresnext101_32x4d -62 26.8192 -53.417 73.1808 43.5084 -51.520 56.4916 48.96 48.9600 224 0.875 0.8750 bilinear
141 densenet169 +55 26.8113 -49.101 73.1887 45.3752 -47.649 54.6248 14.15 14.1500 224 0.875 0.8750 bicubic
142 regnetx_064 -24 26.8015 -52.264 73.1985 44.9036 -49.552 55.0964 26.21 26.2100 224 0.875 0.8750 bicubic
143 regnety_120 -72 26.7818 -53.600 73.2182 44.4399 -50.688 55.5601 51.82 51.8200 224 0.875 0.8750 bicubic
144 regnetx_032 +6 26.7071 -51.459 73.2929 45.2259 -48.854 54.7741 15.3 15.3000 224 0.875 0.8750 bicubic
145 densenet121 +55 26.6757 -48.898 73.3243 45.8999 -46.756 54.1001 7.98 7.9800 224 0.875 0.8750 bicubic
146 seresnet152 -13 26.6718 -51.986 73.3282 43.9447 -50.429 56.0553 66.82 66.8200 224 0.875 0.8750 bilinear
147 tf_efficientnet_el -79 26.6226 -53.825 73.3774 44.6364 -50.524 55.3636 10.59 10.5900 300 0.904 0.9040 bicubic
148 efficientnet_es +4 26.6168 -51.437 73.3832 45.106 45.1060 -48.824 54.894 54.8940 5.44 5.4400 224 0.875 0.8750 bicubic
149 res2net50_26w_6s -14 26.5873 -51.987 73.4127 43.9781 -50.148 56.0219 37.05 37.0500 224 0.875 0.8750 bilinear
150 dla60x -4 26.5637 -51.678 73.4363 45.0392 -48.983 54.9608 17.65 17.6500 224 0.875 0.8750 bilinear
151 regnety_080 -63 26.5146 -53.353 73.4854 44.3554 -50.477 55.6446 39.18 39.1800 224 0.875 0.8750 bicubic
152 tf_efficientnet_b0 +34 26.491 26.4910 -50.349 73.509 73.5090 45.6562 -47.570 54.3438 5.29 5.2900 224 0.875 0.8750 bicubic
153 res2net50_14w_8s -2 26.4713 -51.681 73.5287 44.3691 -49.473 55.6309 25.06 25.0600 224 0.875 0.8750 bilinear
154 gluon_resnet50_v1b +13 26.432 26.4320 -51.146 73.568 73.5680 44.0331 -49.685 55.9669 25.56 25.5600 224 0.875 0.8750 bicubic
155 regnetx_040 -18 26.2395 -52.247 73.7605 44.4241 -49.818 55.5759 22.12 22.1200 224 0.875 0.8750 bicubic
156 dpn68 +37 26.1216 -50.184 73.8784 44.2335 -48.736 55.7665 12.61 12.6100 224 0.875 0.8750 bicubic
157 hrnet_w18 +30 25.9761 -50.780 74.0239 44.8093 -48.633 55.1907 21.3 21.3000 224 0.875 0.8750 bilinear
158 regnety_040 -46 25.9133 -53.309 74.0867 43.8543 -50.802 56.1457 20.65 20.6500 224 0.875 0.8750 bicubic
159 resnet34 +49 25.8838 -49.228 74.1162 43.9899 -48.298 56.0101 21.8 21.8000 224 0.875 0.8750 bilinear
160 res2net50_26w_4s -2 25.87 25.8700 -52.076 74.13 74.1300 43.1606 -50.691 56.8394 25.7 25.7000 224 0.875 0.8750 bilinear
161 tresnet_m_448 -121 25.8504 -55.862 74.1496 42.8678 -52.702 57.1322 31.39 31.3900 448 0.875 0.8750 bilinear
162 gluon_resnet50_v1c -8 25.7954 -52.215 74.2046 43.0172 -50.971 56.9828 25.58 25.5800 224 0.875 0.8750 bicubic
163 selecsls60 -6 25.7285 -52.254 74.2715 44.0685 -49.764 55.9315 30.67 30.6700 224 0.875 0.8750 bicubic
164 dla60_res2net -25 25.6421 -52.830 74.3579 43.589 43.5890 -50.615 56.411 56.4110 21.15 21.1500 224 0.875 0.8750 bilinear
165 dla60_res2next -24 25.6382 -52.810 74.3618 43.6696 -50.474 56.3304 17.33 17.3300 224 0.875 0.8750 bilinear
166 tf_efficientnet_lite1 +23 25.5065 -51.132 74.4935 43.5831 -49.649 56.4169 5.42 5.4200 240 0.882 0.8820 bicubic
167 mixnet_l -46 25.4986 -53.477 74.5014 43.4632 -50.721 56.5368 7.33 7.3300 224 0.875 0.8750 bicubic
168 efficientnet_b1 -37 25.4829 -53.215 74.5171 43.2864 -50.866 56.7136 7.79 7.7900 240 0.875 0.8750 bicubic
169 tv_resnext50_32x4d -5 25.4692 -52.149 74.5308 42.7912 -50.907 57.2088 25.03 25.0300 224 0.875 0.8750 bilinear
170 tf_mixnet_l -42 25.42 25.4200 -53.350 74.58 74.5800 42.5436 -51.460 57.4564 7.33 7.3300 224 0.875 0.8750 bicubic
171 res2next50 -23 25.3945 -52.848 74.6055 42.4925 -51.400 57.5075 24.67 24.6700 224 0.875 0.8750 bilinear
172 selecsls60b -29 25.3277 -53.090 74.6723 43.5536 -50.612 56.4464 32.77 32.7700 224 0.875 0.8750 bicubic
173 seresnet101 -29 25.3277 -53.068 74.6723 42.8285 -51.429 57.1715 49.33 49.3300 224 0.875 0.8750 bilinear
174 regnety_032 -50 25.3237 -53.546 74.6763 42.9071 -51.495 57.0929 19.44 19.4400 224 0.875 0.8750 bicubic
175 dla102 -22 25.3139 -52.712 74.6861 43.8366 -50.113 56.1634 33.73 33.7300 224 0.875 0.8750 bilinear
176 wide_resnet50_2 -36 25.31 25.3100 -53.158 74.69 74.6900 42.1781 -51.908 57.8219 68.88 68.8800 224 0.875 0.8750 bilinear
177 resnest14d +25 25.2825 -50.221 74.7175 44.1215 -48.392 55.8785 10.61 10.6100 224 0.875 0.8750 bilinear
178 seresnext50_32x4d -62 25.2176 -53.858 74.7824 41.9383 -52.496 58.0617 27.56 27.5600 224 0.875 0.8750 bilinear
179 res2net50_48w_2s -10 25.0231 -52.491 74.9769 42.2017 -51.346 57.7983 25.29 25.2900 224 0.875 0.8750 bilinear
180 efficientnet_b0 -18 25.0152 -52.677 74.9848 42.7853 -50.747 57.2147 5.29 5.2900 224 0.875 0.8750 bicubic
181 gluon_resnet34_v1b +35 24.9484 -49.632 75.0516 42.237 42.2370 -49.751 57.763 57.7630 21.8 21.8000 224 0.875 0.8750 bicubic
182 mobilenetv2_120d -7 24.9327 -52.361 75.0673 43.0643 -50.438 56.9357 5.83 5.8300 224 0.875 0.8750 bicubic
183 dla60 -1 24.9268 -52.097 75.0732 43.3021 -50.006 56.6979 22.33 22.3300 224 0.875 0.8750 bilinear
184 regnety_016 -23 24.8187 -53.033 75.1813 42.6261 -51.090 57.3739 11.2 11.2000 224 0.875 0.8750 bicubic
185 tf_efficientnet_em -53 24.5338 -54.164 75.4662 42.41 42.4100 -51.910 57.59 57.5900 6.9 6.9000 240 0.882 0.8820 bicubic
186 tf_efficientnet_lite2 -16 24.5299 -52.930 75.4701 42.292 42.2920 -51.454 57.708 57.7080 6.09 6.0900 260 0.89 0.8900 bicubic
187 skresnet18 +36 24.4945 -48.549 75.5055 42.5377 -48.640 57.4623 11.96 11.9600 224 0.875 0.8750 bicubic
188 regnetx_016 -4 24.4768 -52.453 75.5232 42.5023 -50.916 57.4977 9.19 9.1900 224 0.875 0.8750 bicubic
189 tf_efficientnet_lite0 +22 24.3707 -50.471 75.6293 42.5102 -49.660 57.4898 4.65 4.6500 224 0.875 0.8750 bicubic
190 tv_resnet50 +4 24.0917 -52.038 75.9083 41.3095 -51.553 58.6905 25.56 25.5600 224 0.875 0.8750 bilinear
191 seresnet34 +21 24.0366 -50.771 75.9634 41.8951 -50.231 58.1049 21.96 21.9600 224 0.875 0.8750 bilinear
192 tv_densenet121 +21 23.846 23.8460 -50.906 76.154 76.1540 41.9207 -50.231 58.0793 7.98 7.9800 224 0.875 0.8750 bicubic
193 tf_efficientnet_es -16 23.8244 -53.440 76.1756 41.3193 -52.281 58.6807 5.44 5.4400 224 0.875 0.8750 bicubic
194 mobilenetv2_140 -3 23.7104 -52.814 76.2896 41.4687 -51.521 58.5313 6.11 6.1100 224 0.875 0.8750 bicubic
195 mixnet_m -17 23.7085 -53.547 76.2915 41.1386 -52.279 58.8614 5.01 5.0100 224 0.875 0.8750 bicubic
196 dla34 +19 23.677 23.6770 -50.959 76.323 76.3230 41.5434 -50.521 58.4566 15.78 15.7800 224 0.875 0.8750 bilinear
197 seresnet50 -34 23.6436 -53.992 76.3564 40.0814 -53.671 59.9186 28.09 28.0900 224 0.875 0.8750 bilinear
198 tf_mixnet_m -15 23.4786 -53.471 76.5214 41.0049 -52.151 58.9951 5.01 5.0100 224 0.875 0.8750 bicubic
199 tv_resnet34 +22 23.4727 -49.841 76.5273 41.3665 -50.053 58.6335 21.8 21.8000 224 0.875 0.8750 bilinear
200 selecsls42b -21 23.3665 -53.809 76.6335 40.6768 -52.715 59.3232 32.46 32.4600 224 0.875 0.8750 bicubic
201 mobilenetv2_110d +8 23.0698 -51.982 76.9302 40.7436 -51.436 59.2564 4.52 4.5200 224 0.875 0.8750 bicubic
202 mobilenetv3_large_100 -5 22.665 22.6650 -53.103 77.335 77.3350 40.7848 -51.755 59.2152 5.48 5.4800 224 0.875 0.8750 bicubic
203 mobilenetv3_rw -4 22.6257 -53.002 77.3743 40.3702 -52.340 59.6298 5.48 5.4800 224 0.875 0.8750 bicubic
204 tf_mobilenetv3_large_100 -3 22.5707 -52.945 77.4293 39.7591 -52.841 60.2409 5.48 5.4800 224 0.875 0.8750 bilinear
205 hrnet_w18_small_v2 +1 22.3408 -52.785 77.6592 39.8475 -52.569 60.1525 15.6 15.6000 224 0.875 0.8750 bilinear
206 regnety_008 -14 22.1128 -54.201 77.8872 38.8964 -54.166 61.1036 6.26 6.2600 224 0.875 0.8750 bicubic
207 seresnext26tn_32x4d -52 22.0028 -55.987 77.9972 38.4916 -55.256 61.5084 16.81 16.8100 224 0.875 0.8750 bicubic
208 seresnext26t_32x4d -52 21.9871 -56.001 78.0129 38.5663 -55.140 61.4337 16.82 16.8200 224 0.875 0.8750 bicubic
209 regnety_006 -4 21.9733 -53.287 78.0267 38.9534 -53.575 61.0466 6.06 6.0600 224 0.875 0.8750 bicubic
210 regnetx_008 = 21.9517 -53.070 78.0483 38.9298 -53.414 61.0702 7.26 7.2600 224 0.875 0.8750 bicubic
211 resnet26d -23 21.9144 -54.766 78.0856 38.6174 -54.549 61.3826 16.01 16.0100 224 0.875 0.8750 bicubic
212 semnasnet_100 -9 21.8967 -53.559 78.1033 38.6036 -53.988 61.3964 3.89 3.8900 224 0.875 0.8750 bicubic
213 regnetx_006 +6 21.7434 -52.119 78.2566 38.9043 -52.776 61.0957 6.2 6.2000 224 0.875 0.8750 bicubic
214 gluon_resnet18_v1b +16 21.5449 -49.285 78.4551 38.8728 -50.883 61.1272 11.69 11.6900 224 0.875 0.8750 bicubic
215 fbnetc_100 -8 21.4919 -53.628 78.5081 38.1654 -54.221 61.8346 5.57 5.5700 224 0.875 0.8750 bilinear
216 mnasnet_100 -2 21.3504 -53.306 78.6496 37.7154 -54.411 62.2846 4.38 4.3800 224 0.875 0.8750 bicubic
217 resnet26 -13 21.2954 -53.997 78.7046 38.0161 -54.554 61.9839 16.0 16.0000 224 0.875 0.8750 bicubic
218 ssl_resnet18 +7 21.2777 -51.322 78.7223 39.1145 -52.301 60.8855 11.69 11.6900 224 0.875 0.8750 bilinear
219 mixnet_s -24 21.258 21.2580 -54.730 78.742 78.7420 38.1929 -54.601 61.8071 4.13 4.1300 224 0.875 0.8750 bicubic
220 seresnext26d_32x4d -55 21.2541 -56.350 78.7459 37.2851 -56.327 62.7149 16.81 16.8100 224 0.875 0.8750 bicubic
221 seresnext26_32x4d -41 21.093 21.0930 -56.007 78.907 78.9070 37.6388 -55.671 62.3612 16.79 16.7900 224 0.875 0.8750 bicubic
222 regnetx_004 +4 20.8866 -51.519 79.1134 37.5484 -53.282 62.4516 5.16 5.1600 224 0.875 0.8750 bicubic
223 spnasnet_100 -6 20.867 20.8670 -53.213 79.133 79.1330 37.8923 -53.940 62.1077 4.42 4.4200 224 0.875 0.8750 bilinear
224 seresnet18 +5 20.8395 -50.918 79.1605 37.6447 -52.689 62.3553 11.78 11.7800 224 0.875 0.8750 bicubic
225 mobilenetv2_100 -1 20.7609 -52.217 79.2391 37.7508 -53.265 62.2492 3.5 3.5000 224 0.875 0.8750 bicubic
226 tf_mixnet_s -28 20.4779 -55.170 79.5221 36.6268 -56.009 63.3732 4.13 4.1300 224 0.875 0.8750 bicubic
227 regnety_004 -9 20.417 20.4170 -53.609 79.583 79.5830 37.0296 -54.718 62.9704 4.34 4.3400 224 0.875 0.8750 bicubic
228 tf_mobilenetv3_large_075 -8 20.3718 -53.070 79.6282 36.7702 -54.582 63.2298 3.99 3.9900 224 0.875 0.8750 bilinear
229 hrnet_w18_small -2 20.3659 -51.976 79.6341 37.0945 -53.578 62.9055 13.19 13.1900 224 0.875 0.8750 bilinear
230 resnet18 +2 20.2283 -49.530 79.7717 37.2595 -51.818 62.7405 11.69 11.6900 224 0.875 0.8750 bilinear
231 tf_mobilenetv3_large_minimal_100 -3 20.1163 -52.128 79.8837 36.9038 -53.732 63.0962 3.92 3.9200 224 0.875 0.8750 bilinear
232 regnety_002 -1 17.4596 -52.822 82.5404 32.4432 -57.097 67.5568 3.16 3.1600 224 0.875 0.8750 bicubic
233 regnetx_002 = 16.9506 -51.803 83.0494 32.2349 -56.313 67.7651 2.68 2.6800 224 0.875 0.8750 bicubic
234 dla60x_c +1 16.3257 -51.582 83.6743 31.775 31.7750 -56.659 68.225 68.2250 1.34 1.3400 224 0.875 0.8750 bilinear
235 tf_mobilenetv3_small_100 -1 16.2334 -51.685 83.7666 31.2229 -56.439 68.7771 2.54 2.5400 224 0.875 0.8750 bilinear
236 tf_mobilenetv3_small_075 +1 14.9404 -50.778 85.0596 29.5722 -56.564 70.4278 2.04 2.0400 224 0.875 0.8750 bilinear
237 dla46_c +1 14.6613 -50.217 85.3387 29.3737 -56.912 70.6263 1.31 1.3100 224 0.875 0.8750 bilinear
238 dla46x_c -2 14.3803 -51.600 85.6197 29.1772 -57.803 70.8228 1.08 1.0800 224 0.875 0.8750 bilinear
239 tf_mobilenetv3_small_minimal_100 = 13.9677 -48.930 86.0323 27.9805 -56.250 72.0195 2.04 2.0400 224 0.875 0.8750 bilinear
Loading…
Cancel
Save