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pytorch-image-models/results/results-imagenet-r.csv

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Re-ran batch validation on all models across all sets
4 years ago
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
Update results.csv files with latest weights
3 years ago
ig_resnext101_32x48d,79.727,20.273,89.523,10.477,828.41,224,0.875,bilinear,-17.233,-10.147,+14
ig_resnext101_32x32d,79.510,20.490,89.230,10.770,468.53,224,0.875,bilinear,-17.270,-10.300,+26
ig_resnext101_32x16d,78.823,21.177,88.457,11.543,194.03,224,0.875,bilinear,-17.607,-11.083,+52
tf_efficientnet_l2_ns_475,76.370,23.630,88.540,11.460,480.31,475,0.936,bicubic,-21.380,-11.280,0
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
swsl_resnext101_32x16d,76.230,23.770,87.750,12.250,194.03,224,0.875,bilinear,-20.050,-11.770,+64
Update results.csv files with latest weights
3 years ago
ig_resnext101_32x8d,75.890,24.110,86.243,13.757,88.79,224,0.875,bilinear,-20.060,-13.147,+89
swsl_resnext101_32x8d,75.583,24.417,87.063,12.937,88.79,224,0.875,bilinear,-20.647,-12.527,+67
tf_efficientnet_l2_ns,74.623,25.377,87.497,12.503,480.31,800,0.960,bicubic,-23.147,-12.313,-6
beit_large_patch16_384,73.100,26.900,84.797,15.203,305.00,384,1.000,bicubic,-24.720,-14.993,-8
beit_large_patch16_512,73.030,26.970,84.943,15.057,305.67,512,1.000,bicubic,-24.740,-14.947,-7
swsl_resnext101_32x4d,72.703,27.297,85.197,14.803,44.18,224,0.875,bilinear,-23.347,-14.343,+76
beit_large_patch16_224,71.030,28.970,83.300,16.700,304.43,224,0.900,bicubic,-26.440,-16.390,-7
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
swsl_resnext50_32x4d,69.097,30.903,82.873,17.127,25.03,224,0.875,bilinear,-26.493,-16.447,+106
Update results.csv files with latest weights
3 years ago
swsl_resnet50,68.370,31.630,83.380,16.620,25.56,224,0.875,bilinear,-26.850,-16.020,+134
vit_large_patch16_384,67.107,32.893,78.723,21.277,304.72,384,1.000,bicubic,-30.313,-21.057,-9
tf_efficientnet_b7_ns,67.043,32.957,81.090,18.910,66.35,600,0.949,bicubic,-30.167,-18.610,-8
swin_large_patch4_window12_384,65.983,34.017,79.260,20.740,196.74,384,1.000,bicubic,-31.197,-20.430,-8
tf_efficientnet_b6_ns,65.460,34.540,79.450,20.550,43.04,528,0.942,bicubic,-31.570,-20.260,-5
vit_large_patch16_224,64.333,35.667,76.243,23.757,304.33,224,0.900,bicubic,-32.377,-23.407,+14
vit_large_r50_s32_384,64.160,35.840,75.903,24.097,329.09,384,1.000,bicubic,-32.790,-23.817,-2
swin_large_patch4_window7_224,63.720,36.280,78.060,21.940,196.53,224,0.900,bicubic,-33.230,-21.600,-5
beit_base_patch16_384,63.393,36.607,77.850,22.150,86.74,384,1.000,bicubic,-33.957,-21.860,-15
swin_base_patch4_window12_384,62.990,37.010,77.727,22.273,87.90,384,1.000,bicubic,-34.080,-22.043,-11
tf_efficientnet_b5_ns,62.890,37.110,77.720,22.280,30.39,456,0.934,bicubic,-33.990,-21.920,-2
tf_efficientnet_b4_ns,61.090,38.910,76.057,23.943,19.34,380,0.922,bicubic,-35.620,-23.583,+7
tf_efficientnetv2_l_in21ft1k,60.963,39.037,75.887,24.113,118.52,480,1.000,bicubic,-36.147,-23.813,-15
tf_efficientnetv2_xl_in21ft1k,60.710,39.290,74.393,25.607,208.12,512,1.000,bicubic,-36.440,-25.227,-17
vit_base_patch16_384,60.197,39.803,73.840,26.160,86.86,384,1.000,bicubic,-36.823,-25.860,-14
beit_base_patch16_224,60.143,39.857,75.367,24.633,86.53,224,0.900,bicubic,-36.507,-24.203,+9
swin_base_patch4_window7_224,59.293,40.707,73.890,26.110,87.77,224,0.900,bicubic,-37.377,-25.780,+6
vit_large_r50_s32_224,58.677,41.323,71.857,28.143,328.99,224,0.900,bicubic,-37.513,-27.673,+44
tf_efficientnetv2_m_in21ft1k,58.653,41.347,74.017,25.983,54.14,480,1.000,bicubic,-38.297,-25.593,-15
tf_efficientnet_b8_ap,57.873,42.127,72.937,27.063,87.41,672,0.954,bicubic,-38.687,-26.613,+10
cait_m48_448,57.447,42.553,71.810,28.190,356.46,448,1.000,bicubic,-39.423,-27.810,-11
cait_m36_384,57.413,42.587,72.307,27.693,271.22,384,1.000,bicubic,-39.407,-27.353,-10
tf_efficientnet_b3_ns,57.313,42.687,72.387,27.613,12.23,300,0.904,bicubic,-38.797,-27.083,+44
vit_base_patch16_224,56.837,43.163,70.713,29.287,86.57,224,0.900,bicubic,-39.463,-28.847,+28
xcit_large_24_p8_384_dist,56.373,43.627,71.240,28.760,188.93,384,1.000,bicubic,-40.387,-28.320,-8
xcit_large_24_p8_224_dist,55.980,44.020,70.687,29.313,188.93,224,1.000,bicubic,-40.640,-28.773,+1
xcit_large_24_p16_384_dist,54.850,45.150,69.857,30.143,189.10,384,1.000,bicubic,-42.080,-29.653,-21
vit_base_r50_s16_384,54.340,45.660,69.510,30.490,98.95,384,1.000,bicubic,-42.130,-30.150,+9
resnetv2_152x4_bitm,54.220,45.780,70.290,29.710,936.53,480,1.000,bilinear,-42.660,-29.370,-21
xcit_large_24_p16_224_dist,54.217,45.783,68.950,31.050,189.10,224,1.000,bicubic,-42.093,-30.550,+21
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
vit_small_r26_s32_384,54.097,45.903,68.793,31.207,36.47,384,1.000,bicubic,-41.963,-30.357,+42
tf_efficientnet_b5_ap,53.923,46.077,69.180,30.820,30.39,456,0.934,bicubic,-42.157,-30.360,+38
Update results.csv files with latest weights
3 years ago
xcit_medium_24_p8_224_dist,53.650,46.350,68.327,31.673,84.32,224,1.000,bicubic,-42.850,-31.173,+1
tf_efficientnet_b6_ap,53.560,46.440,68.580,31.420,43.04,528,0.942,bicubic,-42.800,-30.970,+11
cait_s36_384,53.507,46.493,67.990,32.010,68.37,384,1.000,bicubic,-43.123,-31.600,-9
tf_efficientnet_b2_ns,53.503,46.497,70.393,29.607,9.11,260,0.890,bicubic,-42.027,-28.947,+76
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
vit_base_patch32_384,53.340,46.660,68.133,31.867,88.30,384,1.000,bicubic,-42.570,-31.307,+47
Update results.csv files with latest weights
3 years ago
tf_efficientnet_b7_ap,53.320,46.680,68.900,31.100,66.35,600,0.949,bicubic,-43.030,-30.700,+9
xcit_medium_24_p8_384_dist,53.297,46.703,68.067,31.933,84.32,384,1.000,bicubic,-43.483,-31.553,-23
tf_efficientnetv2_s_in21ft1k,53.253,46.747,69.057,30.943,21.46,384,1.000,bicubic,-43.207,-30.573,-2
xcit_medium_24_p16_384_dist,53.210,46.790,68.047,31.953,84.40,384,1.000,bicubic,-43.480,-31.553,-19
tf_efficientnet_b8,53.200,46.800,68.953,31.047,87.41,672,0.954,bicubic,-43.500,-30.597,-21
tf_efficientnet_b4_ap,53.073,46.927,68.237,31.763,19.34,380,0.922,bicubic,-42.427,-31.153,+71
dm_nfnet_f5,52.717,47.283,67.250,32.750,377.21,544,0.954,bicubic,-44.083,-32.420,-31
efficientnetv2_rw_m,52.347,47.653,67.260,32.740,53.24,416,1.000,bicubic,-43.923,-32.300,+12
tf_efficientnet_b7,52.303,47.697,68.230,31.770,66.35,600,0.949,bicubic,-44.277,-31.280,-17
xcit_small_24_p8_384_dist,52.283,47.717,66.753,33.247,47.63,384,1.000,bicubic,-44.547,-32.877,-36
tf_efficientnetv2_l,52.277,47.723,67.197,32.803,118.52,480,1.000,bicubic,-44.373,-32.463,-24
dm_nfnet_f6,52.250,47.750,66.963,33.037,438.36,576,0.956,bicubic,-44.660,-32.757,-42
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
swsl_resnet18,52.243,47.757,70.503,29.497,11.69,224,0.875,bilinear,-38.507,-27.597,+413
Update results.csv files with latest weights
3 years ago
xcit_medium_24_p16_224_dist,52.210,47.790,66.883,33.117,84.40,224,1.000,bicubic,-44.050,-32.517,+7
deit_base_distilled_patch16_384,52.180,47.820,67.693,32.307,87.63,384,1.000,bicubic,-44.310,-31.897,-17
xcit_small_24_p8_224_dist,52.133,47.867,66.717,33.283,47.63,224,1.000,bicubic,-44.417,-32.843,-21
resnetv2_152x2_bit_teacher_384,52.060,47.940,68.833,31.167,236.34,384,1.000,bicubic,-44.110,-30.677,+9
dm_nfnet_f3,51.960,48.040,66.597,33.403,254.92,416,0.940,bicubic,-44.760,-33.033,-37
resmlp_big_24_224_in22ft1k,51.893,48.107,68.423,31.577,129.14,224,0.875,bicubic,-44.447,-31.087,-8
xcit_small_24_p16_384_dist,51.883,48.117,66.307,33.693,47.67,384,1.000,bicubic,-44.477,-33.283,-11
resnetv2_152x2_bitm,51.780,48.220,69.353,30.647,236.34,448,1.000,bilinear,-44.740,-30.237,-25
cait_s24_384,51.727,48.273,66.330,33.670,47.06,384,1.000,bicubic,-44.853,-33.220,-31
ecaresnet269d,51.590,48.410,66.087,33.913,102.09,352,1.000,bicubic,-44.870,-33.483,-20
vit_base_patch16_224_miil,51.557,48.443,65.253,34.747,86.54,224,0.875,bilinear,-44.483,-34.097,+14
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
pit_b_distilled_224,51.163,48.837,66.773,33.227,74.79,224,0.900,bicubic,-44.917,-32.607,+6
Update results.csv files with latest weights
3 years ago
xcit_small_12_p8_384_dist,51.040,48.960,65.710,34.290,26.21,384,1.000,bicubic,-45.440,-33.770,-27
dm_nfnet_f4,50.810,49.190,65.430,34.570,316.07,512,0.951,bicubic,-45.970,-34.190,-50
tf_efficientnet_b1_ns,50.767,49.233,67.963,32.037,7.79,240,0.882,bicubic,-44.113,-31.287,+105
xcit_small_24_p16_224_dist,50.700,49.300,65.007,34.993,47.67,224,1.000,bicubic,-45.110,-34.333,+26
tf_efficientnetv2_m,50.570,49.430,66.013,33.987,54.14,480,1.000,bicubic,-45.980,-33.557,-36
efficientnet_b4,50.523,49.477,65.800,34.200,19.34,384,1.000,bicubic,-45.017,-33.600,+41
resnetv2_101x3_bitm,50.520,49.480,67.963,32.037,387.93,448,1.000,bilinear,-45.770,-31.667,-16
xcit_small_12_p16_384_dist,50.447,49.553,65.287,34.713,26.25,384,1.000,bicubic,-45.883,-34.203,-20
xcit_small_12_p8_224_dist,50.400,49.600,65.440,34.560,26.21,224,1.000,bicubic,-45.560,-33.980,+10
cait_s24_224,50.230,49.770,65.033,34.967,46.92,224,1.000,bicubic,-45.410,-34.357,+32
eca_nfnet_l2,50.227,49.773,65.463,34.537,56.72,384,1.000,bicubic,-46.233,-34.147,-34
ssl_resnext101_32x16d,50.220,49.780,66.073,33.927,194.03,224,0.875,bilinear,-45.180,-33.337,+49
vit_small_patch16_384,50.153,49.847,65.883,34.117,22.20,384,1.000,bicubic,-45.827,-33.717,+4
resnest269e,50.137,49.863,64.713,35.287,110.93,416,0.928,bicubic,-45.983,-34.807,-12
tf_efficientnet_b3_ap,50.093,49.907,65.280,34.720,12.23,300,0.904,bicubic,-44.867,-33.830,+81
deit_base_distilled_patch16_224,50.070,49.930,66.253,33.747,87.34,224,0.900,bicubic,-45.710,-33.027,+15
resnest200e,49.817,50.183,64.777,35.223,70.20,320,0.909,bicubic,-46.263,-34.693,-10
cait_xs24_384,49.510,50.490,64.843,35.157,26.67,384,1.000,bicubic,-46.500,-34.587,-4
tf_efficientnet_b5,49.503,50.497,65.597,34.403,30.39,456,0.934,bicubic,-46.477,-33.853,-3
xcit_small_12_p16_224_dist,49.443,50.557,63.893,36.107,26.25,224,1.000,bicubic,-46.307,-35.397,+13
resnet200d,49.427,50.573,64.303,35.697,64.69,320,1.000,bicubic,-46.683,-35.157,-17
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
vit_base_patch32_224,49.383,50.617,64.450,35.550,88.22,224,0.900,bicubic,-44.967,-34.640,+139
Update results.csv files with latest weights
3 years ago
resnest101e,49.377,50.623,65.527,34.473,48.28,256,0.875,bilinear,-46.203,-33.743,+22
resnet152d,49.257,50.743,64.427,35.573,60.21,320,1.000,bicubic,-46.593,-35.003,+4
seresnet152d,49.217,50.783,64.277,35.723,66.84,320,1.000,bicubic,-47.113,-35.233,-38
resnetv2_152x2_bit_teacher,49.190,50.810,65.430,34.570,236.34,224,0.875,bicubic,-46.540,-34.000,+8
ssl_resnext101_32x8d,49.153,50.847,65.503,34.497,88.79,224,0.875,bilinear,-46.167,-33.807,+41
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
xcit_large_24_p8_224,49.143,50.857,62.727,37.273,188.93,224,1.000,bicubic,-46.917,-36.823,-18
resmlp_big_24_distilled_224,49.047,50.953,65.463,34.537,129.14,224,0.875,bicubic,-46.823,-33.627,-3
repvgg_b3,49.023,50.977,64.877,35.123,123.09,224,0.875,bilinear,-45.527,-34.283,+113
Update results.csv files with latest weights
3 years ago
resnetrs420,48.817,51.183,63.453,36.547,191.89,416,1.000,bicubic,-47.583,-36.087,-50
efficientnetv2_rw_s,48.673,51.327,63.863,36.137,23.94,384,1.000,bicubic,-47.027,-35.517,+8
regnetz_d,48.633,51.367,65.220,34.780,27.58,320,0.950,bicubic,-47.227,-34.220,-6
efficientnet_b3,48.580,51.420,64.343,35.657,12.23,320,1.000,bicubic,-46.570,-34.867,+45
ecaresnet101d,48.473,51.527,64.090,35.910,44.57,224,0.875,bicubic,-46.687,-35.140,+43
vit_small_r26_s32_224,48.417,51.583,63.927,36.073,36.43,224,0.900,bicubic,-46.703,-35.293,+47
vit_large_patch32_384,48.353,51.647,61.907,38.093,306.63,384,1.000,bicubic,-46.897,-37.413,+33
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
repvgg_b3g4,48.270,51.730,64.820,35.180,83.83,224,0.875,bilinear,-46.160,-34.290,+113
Update results.csv files with latest weights
3 years ago
convit_base,48.243,51.757,63.003,36.997,86.54,224,0.875,bicubic,-46.857,-36.127,+48
dm_nfnet_f2,48.203,51.797,63.200,36.800,193.78,352,0.920,bicubic,-48.247,-36.340,-61
resnetrs350,47.963,52.037,62.577,37.423,163.96,384,1.000,bicubic,-48.277,-36.893,-43
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
twins_svt_large,47.907,52.093,62.860,37.140,99.27,224,0.900,bicubic,-47.813,-36.630,-6
Update results.csv files with latest weights
3 years ago
mixer_b16_224_miil,47.827,52.173,63.363,36.637,59.88,224,0.875,bilinear,-47.063,-35.717,+64
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
repvgg_b2g4,47.773,52.227,64.427,35.573,61.76,224,0.875,bilinear,-46.007,-34.403,+179
Update results.csv files with latest weights
3 years ago
resnetv2_50x3_bitm,47.757,52.243,65.667,34.333,217.32,448,1.000,bilinear,-48.533,-33.913,-53
eca_nfnet_l1,47.610,52.390,62.650,37.350,41.41,320,1.000,bicubic,-48.310,-36.850,-25
pit_s_distilled_224,47.603,52.397,63.543,36.457,24.04,224,0.900,bicubic,-47.147,-35.637,+70
resnest50d_4s2x40d,47.503,52.497,63.863,36.137,30.42,224,0.875,bicubic,-47.207,-35.267,+72
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
efficientnet_b3_pruned,47.467,52.533,62.850,37.150,9.86,300,0.904,bicubic,-47.103,-36.330,+90
Update results.csv files with latest weights
3 years ago
crossvit_18_dagger_408,47.353,52.647,60.900,39.100,44.61,408,1.000,bicubic,-48.757,-38.570,-47
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
xcit_small_24_p8_224,47.340,52.660,61.097,38.903,47.63,224,1.000,bicubic,-48.570,-38.083,-28
Update results.csv files with latest weights
3 years ago
tresnet_m,47.297,52.703,62.087,37.913,31.39,224,0.875,bilinear,-48.103,-37.063,+10
ssl_resnext101_32x4d,47.167,52.833,63.390,36.610,44.18,224,0.875,bilinear,-47.973,-35.920,+27
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
tf_efficientnet_b6,47.150,52.850,63.057,36.943,43.04,528,0.942,bicubic,-49.130,-36.443,-61
Update results.csv files with latest weights
3 years ago
resnetrs270,47.147,52.853,62.057,37.943,129.86,352,1.000,bicubic,-48.923,-37.423,-46
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
xcit_small_12_p8_224,47.057,52.943,60.570,39.430,26.21,224,1.000,bicubic,-48.363,-38.860,+2
tf_efficientnet_b4,47.027,52.973,62.907,37.093,19.34,380,0.922,bicubic,-48.563,-36.533,-14
Update results.csv files with latest weights
3 years ago
resnet101d,46.907,53.093,62.357,37.643,44.57,320,1.000,bicubic,-48.843,-37.083,-26
xcit_large_24_p16_224,46.877,53.123,60.770,39.230,189.10,224,1.000,bicubic,-48.073,-38.060,+39
resnetrs200,46.867,53.133,62.480,37.520,93.21,320,1.000,bicubic,-49.133,-36.960,-45
gluon_seresnext101_64x4d,46.677,53.323,61.363,38.637,88.23,224,0.875,bicubic,-47.983,-37.607,+68
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
twins_pcpvt_large,46.557,53.443,62.170,37.830,60.99,224,0.900,bicubic,-49.163,-37.120,-27
Update results.csv files with latest weights
3 years ago
dm_nfnet_f1,46.457,53.543,61.450,38.550,132.63,320,0.910,bicubic,-49.913,-38.030,-81
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
xcit_medium_24_p8_224,46.427,53.573,59.607,40.393,84.32,224,1.000,bicubic,-49.443,-39.833,-39
Update results.csv files with latest weights
3 years ago
crossvit_15_dagger_408,46.367,53.633,60.537,39.463,28.50,408,1.000,bicubic,-49.453,-38.763,-36
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
tresnet_xl,46.277,53.723,61.907,38.093,78.44,224,0.875,bilinear,-48.803,-37.343,+23
xcit_tiny_24_p8_224_dist,46.250,53.750,60.627,39.373,12.11,224,1.000,bicubic,-49.210,-38.743,-12
Update results.csv files with latest weights
3 years ago
xcit_tiny_24_p8_384_dist,46.233,53.767,60.660,39.340,12.11,384,1.000,bicubic,-50.017,-38.780,-71
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
gernet_m,46.157,53.843,62.720,37.280,21.14,224,0.875,bilinear,-48.383,-36.450,+75
deit_small_distilled_patch16_224,46.150,53.850,62.447,37.553,22.44,224,0.900,bicubic,-48.440,-36.483,+67
resnest50d_1s4x24d,46.133,53.867,62.483,37.517,25.68,224,0.875,bicubic,-48.237,-36.587,+89
Update results.csv files with latest weights
3 years ago
regnety_160,46.123,53.877,61.803,38.197,83.59,288,1.000,bicubic,-49.777,-37.757,-48
crossvit_base_240,46.087,53.913,60.247,39.753,105.03,240,0.875,bicubic,-48.973,-38.733,+18
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
tf_efficientnet_b0_ns,46.047,53.953,63.280,36.720,5.29,224,0.875,bicubic,-47.663,-35.520,+158
vit_small_patch16_224,46.027,53.973,61.850,38.150,22.05,224,0.900,bicubic,-48.873,-37.430,+31
Update results.csv files with latest weights
3 years ago
resnet51q,46.017,53.983,60.917,39.083,35.70,288,1.000,bilinear,-49.173,-38.363,-1
jx_nest_base,45.973,54.027,60.113,39.887,67.72,224,0.875,bicubic,-49.557,-39.187,-28
crossvit_18_240,45.923,54.077,60.380,39.620,43.27,240,0.875,bicubic,-49.127,-38.740,+14
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
resnest50d,45.900,54.100,62.673,37.327,27.48,224,0.875,bilinear,-48.720,-36.357,+53
Update results.csv files with latest weights
3 years ago
twins_pcpvt_base,45.890,54.110,61.357,38.643,43.83,224,0.900,bicubic,-49.580,-38.023,-26
regnety_032,45.887,54.113,61.520,38.480,19.44,288,1.000,bicubic,-49.583,-37.800,-28
twins_svt_base,45.863,54.137,60.903,39.097,56.07,224,0.900,bicubic,-49.707,-38.327,-36
crossvit_18_dagger_240,45.820,54.180,59.963,40.037,44.27,240,0.875,bicubic,-49.360,-39.157,-7
levit_384,45.783,54.217,61.727,38.273,39.13,224,0.900,bicubic,-49.417,-37.433,-10
gc_efficientnetv2_rw_t,45.703,54.297,60.197,39.803,13.68,288,1.000,bicubic,-49.577,-39.023,-16
regnetz_c,45.667,54.333,62.437,37.563,13.46,320,0.940,bicubic,-49.743,-36.873,-26
convmixer_1536_20,45.647,54.353,61.740,38.260,51.63,224,0.960,bicubic,-49.303,-37.430,+10
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
efficientnetv2_rw_t,45.593,54.407,60.160,39.840,13.65,288,1.000,bicubic,-49.487,-39.060,0
crossvit_15_dagger_240,45.580,54.420,60.053,39.947,28.21,240,0.875,bicubic,-49.390,-39.157,+6
xcit_tiny_24_p16_384_dist,45.563,54.437,60.473,39.527,12.12,384,1.000,bicubic,-49.897,-38.877,-34
Update results.csv files with latest weights
3 years ago
xcit_medium_24_p16_224,45.560,54.440,58.993,41.007,84.40,224,1.000,bicubic,-49.570,-39.937,-10
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
dm_nfnet_f0,45.543,54.457,61.013,38.987,71.49,256,0.900,bicubic,-50.167,-38.317,-54
gluon_seresnext101_32x4d,45.517,54.483,61.147,38.853,48.96,224,0.875,bicubic,-48.863,-37.923,+62
Update results.csv files with latest weights
3 years ago
xcit_small_24_p16_224,45.493,54.507,58.910,41.090,47.67,224,1.000,bicubic,-49.577,-40.150,-4
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
gluon_resnet152_v1d,45.433,54.567,60.093,39.907,60.21,224,0.875,bicubic,-48.997,-38.997,+57
Update results.csv files with latest weights
3 years ago
xcit_small_12_p16_224,45.433,54.567,59.407,40.593,26.25,224,1.000,bicubic,-49.377,-39.653,+15
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
nfnet_l0,45.367,54.633,62.073,37.927,35.07,288,1.000,bicubic,-50.053,-37.127,-38
Update results.csv files with latest weights
3 years ago
ssl_resnext50_32x4d,45.363,54.637,61.973,38.027,25.03,224,0.875,bilinear,-49.337,-37.267,+24
resnetv2_50x1_bit_distilled,45.330,54.670,62.290,37.710,25.55,224,0.875,bicubic,-50.060,-37.140,-36
jx_nest_small,45.317,54.683,59.017,40.983,38.35,224,0.875,bicubic,-50.223,-40.213,-52
resnet61q,45.277,54.723,59.350,40.650,36.85,288,1.000,bicubic,-49.833,-39.730,-15
convit_small,45.227,54.773,60.530,39.470,27.78,224,0.875,bicubic,-49.693,-38.590,0
nasnetalarge,45.197,54.803,57.960,42.040,88.75,331,0.911,bicubic,-49.973,-41.170,-26
tresnet_xl_448,45.163,54.837,61.440,38.560,78.44,448,0.875,bilinear,-50.357,-37.900,-53
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
swin_small_patch4_window7_224,45.133,54.867,60.270,39.730,49.61,224,0.900,bicubic,-50.587,-39.100,-68
Update results.csv files with latest weights
3 years ago
tf_efficientnet_b3,45.100,54.900,60.677,39.323,12.23,300,0.904,bicubic,-49.810,-38.423,-2
rexnet_200,45.067,54.933,62.223,37.777,16.37,224,0.875,bicubic,-49.603,-36.867,+20
resnetrs152,44.990,55.010,59.683,40.317,86.62,320,1.000,bicubic,-50.970,-39.697,-90
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
ecaresnetlight,44.907,55.093,60.763,39.237,30.16,224,0.875,bicubic,-49.203,-38.197,+77
Update results.csv files with latest weights
3 years ago
deit_base_patch16_224,44.893,55.107,59.203,40.797,86.57,224,0.900,bicubic,-50.127,-39.767,-17
resnetv2_101,44.817,55.183,58.843,41.157,44.54,224,0.950,bicubic,-50.113,-40.267,-10
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
resmlp_24_distilled_224,44.787,55.213,61.517,38.483,30.02,224,0.875,bicubic,-49.503,-37.683,+54
Update results.csv files with latest weights
3 years ago
cait_xxs36_384,44.750,55.250,59.410,40.590,17.37,384,1.000,bicubic,-50.490,-39.920,-42
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
tf_efficientnet_b2_ap,44.743,55.257,60.693,39.307,9.11,260,0.890,bicubic,-49.477,-38.117,+58
resmlp_36_distilled_224,44.720,55.280,61.110,38.890,44.69,224,0.875,bicubic,-49.780,-37.850,+31
Update results.csv files with latest weights
3 years ago
gernet_l,44.697,55.303,59.007,40.993,31.08,256,0.875,bilinear,-50.223,-40.193,-13
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
xcit_tiny_24_p16_224_dist,44.690,55.310,59.397,40.603,12.12,224,1.000,bicubic,-49.490,-39.533,+60
Update results.csv files with latest weights
3 years ago
deit_base_patch16_384,44.660,55.340,59.570,40.430,86.86,384,1.000,bicubic,-51.000,-39.670,-77
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
gmlp_s16_224,44.487,55.513,58.667,41.333,19.42,224,0.875,bicubic,-48.993,-40.173,+145
ens_adv_inception_resnet_v2,44.407,55.593,58.153,41.847,55.84,299,0.897,bicubic,-49.693,-40.827,+67
tresnet_l,44.360,55.640,59.953,40.047,55.99,224,0.875,bilinear,-50.540,-39.077,-16
gluon_resnext101_32x4d,44.330,55.670,59.097,40.903,44.18,224,0.875,bicubic,-49.740,-39.823,+67
cspresnext50,44.180,55.820,60.463,39.537,20.57,224,0.875,bilinear,-49.560,-38.407,+107
Update results.csv files with latest weights
3 years ago
wide_resnet50_2,44.157,55.843,59.657,40.343,68.88,224,0.875,bicubic,-50.493,-39.393,+6
crossvit_15_240,44.140,55.860,59.153,40.847,27.53,240,0.875,bicubic,-50.540,-39.917,0
resnetv2_101x1_bitm,44.113,55.887,62.063,37.937,44.54,448,1.000,bilinear,-51.217,-37.317,-59
gluon_resnet152_v1s,44.090,55.910,58.743,41.257,60.32,224,0.875,bicubic,-50.600,-40.307,-4
pit_b_224,44.080,55.920,57.990,42.010,73.76,224,0.900,bicubic,-50.710,-40.820,-15
seresnext50_32x4d,44.077,55.923,59.413,40.587,27.56,224,0.875,bicubic,-50.723,-39.717,-17
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
inception_resnet_v2,44.057,55.943,57.930,42.070,55.84,299,0.897,bicubic,-50.223,-41.020,+38
Update results.csv files with latest weights
3 years ago
pnasnet5large,43.993,56.007,56.770,43.230,86.06,331,0.911,bicubic,-51.377,-42.360,-66
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
ssl_resnet50,43.903,56.097,61.940,38.060,25.56,224,0.875,bilinear,-50.367,-36.880,+37
gluon_resnext101_64x4d,43.900,56.100,58.703,41.297,83.46,224,0.875,bicubic,-50.390,-40.227,+34
pit_s_224,43.893,56.107,58.663,41.337,23.46,224,0.900,bicubic,-50.687,-40.407,+4
tf_efficientnetv2_s,43.853,56.147,58.710,41.290,21.46,384,1.000,bicubic,-51.857,-40.690,-96
cait_xxs36_224,43.823,56.177,58.773,41.227,17.30,224,1.000,bicubic,-50.077,-40.217,+70
ecaresnet101d_pruned,43.787,56.213,59.647,40.353,24.88,224,0.875,bicubic,-50.623,-39.343,+16
Update results.csv files with latest weights
3 years ago
coat_lite_small,43.780,56.220,56.930,43.070,19.84,224,0.900,bicubic,-51.330,-42.100,-54
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
tnt_s_patch16_224,43.767,56.233,59.223,40.777,23.76,224,0.900,bicubic,-50.803,-39.917,+1
ecaresnet50d,43.703,56.297,60.380,39.620,25.58,224,0.875,bicubic,-50.477,-38.570,+38
pit_xs_distilled_224,43.683,56.317,60.680,39.320,11.00,224,0.900,bicubic,-49.427,-37.980,+149
Update results.csv files with latest weights
3 years ago
xcit_tiny_12_p8_224_dist,43.597,56.403,58.480,41.520,6.71,224,1.000,bicubic,-51.143,-40.700,-24
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
rexnet_150,43.587,56.413,60.837,39.163,9.73,224,0.875,bicubic,-50.633,-38.123,+30
crossvit_small_240,43.510,56.490,58.980,41.020,26.86,240,0.875,bicubic,-51.080,-40.110,-8
Update results.csv files with latest weights
3 years ago
ecaresnet50t,43.420,56.580,59.327,40.673,25.57,320,0.950,bicubic,-51.690,-39.963,-60
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
gluon_resnet101_v1d,43.420,56.580,58.560,41.440,44.57,224,0.875,bicubic,-50.720,-40.390,+36
gluon_resnet101_v1s,43.410,56.590,58.703,41.297,44.67,224,0.875,bicubic,-50.760,-40.267,+34
cspdarknet53,43.330,56.670,59.487,40.513,27.64,256,0.887,bilinear,-50.730,-39.533,+43
Update results.csv files with latest weights
3 years ago
eca_nfnet_l0,43.297,56.703,59.910,40.090,24.14,288,1.000,bicubic,-52.153,-39.480,-92
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
convmixer_768_32,43.263,56.737,59.270,40.730,21.11,224,0.960,bicubic,-51.147,-39.790,+4
xcit_tiny_24_p8_224,43.263,56.737,57.297,42.703,12.11,224,1.000,bicubic,-51.607,-41.793,-42
dpn68b,43.257,56.743,58.610,41.390,12.61,224,0.875,bicubic,-50.323,-40.080,+101
Update results.csv files with latest weights
3 years ago
xcit_tiny_12_p8_384_dist,43.253,56.747,58.160,41.840,6.71,384,1.000,bicubic,-52.087,-41.180,-87
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
visformer_small,43.187,56.813,57.970,42.030,40.22,224,0.900,bicubic,-51.783,-41.180,-60
vit_small_patch32_384,43.137,56.863,59.273,40.727,22.92,384,1.000,bicubic,-51.423,-39.637,-14
cspresnet50,43.130,56.870,59.230,40.770,21.62,256,0.887,bilinear,-50.670,-39.680,+64
resnest26d,43.107,56.893,60.597,39.403,17.07,224,0.875,bilinear,-50.093,-38.083,+130
twins_pcpvt_small,43.080,56.920,58.913,41.087,24.11,224,0.900,bicubic,-51.510,-40.207,-23
dpn131,43.003,56.997,57.420,42.580,79.25,224,0.875,bicubic,-50.717,-41.390,+72
resmlp_36_224,43.003,56.997,59.417,40.583,44.69,224,0.875,bicubic,-50.647,-39.353,+83
gluon_resnet152_v1b,42.987,57.013,57.727,42.273,60.19,224,0.875,bicubic,-50.963,-40.743,+39
dpn107,42.883,57.117,57.533,42.467,86.92,224,0.875,bicubic,-51.047,-41.387,+41
tf_efficientnet_lite4,42.860,57.140,57.723,42.277,13.01,380,0.920,bilinear,-52.010,-41.467,-53
gcresnet50t,42.840,57.160,59.237,40.763,25.90,256,0.900,bicubic,-51.770,-39.753,-31
gluon_resnet152_v1c,42.830,57.170,57.807,42.193,60.21,224,0.875,bicubic,-51.020,-41.123,+49
Update results.csv files with latest weights
3 years ago
twins_svt_small,42.830,57.170,58.473,41.527,24.06,224,0.900,bicubic,-51.940,-40.607,-52
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
tf_efficientnet_b1_ap,42.823,57.177,58.853,41.147,7.79,240,0.882,bicubic,-50.787,-40.107,+81
levit_256,42.807,57.193,57.913,42.087,18.89,224,0.900,bicubic,-51.563,-41.137,-10
Update results.csv files with latest weights
3 years ago
tresnet_l_448,42.780,57.220,58.937,41.063,55.99,448,0.875,bilinear,-52.610,-40.343,-105
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
gluon_xception65,42.730,57.270,58.867,41.133,39.92,299,0.903,bicubic,-51.280,-40.163,+27
resnet50d,42.703,57.297,58.770,41.230,25.58,224,0.875,bicubic,-51.337,-40.260,+22
gluon_seresnext50_32x4d,42.693,57.307,58.713,41.287,27.56,224,0.875,bicubic,-51.447,-40.317,+12
resnext101_32x8d,42.577,57.423,58.337,41.663,88.79,224,0.875,bilinear,-51.183,-40.643,+55
xcit_tiny_12_p16_384_dist,42.563,57.437,58.057,41.943,6.72,384,1.000,bicubic,-51.937,-41.113,-27
seresnet50,42.507,57.493,58.760,41.240,28.09,224,0.875,bicubic,-51.553,-40.180,+17
nf_resnet50,42.490,57.510,59.593,40.407,25.56,288,0.940,bicubic,-51.880,-39.227,-17
Update results.csv files with latest weights
3 years ago
resnetrs101,42.447,57.553,57.300,42.700,63.62,288,0.940,bicubic,-52.783,-41.910,-105
tf_efficientnetv2_b3,42.317,57.683,58.000,42.000,14.36,300,0.904,bicubic,-52.803,-41.190,-96
jx_nest_tiny,42.313,57.687,57.023,42.977,17.06,224,0.875,bicubic,-52.627,-42.077,-79
legacy_senet154,42.283,57.717,56.573,43.427,115.09,224,0.875,bilinear,-52.447,-42.527,-61
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
dpn98,42.277,57.723,56.927,43.073,61.57,224,0.875,bicubic,-51.613,-41.823,+27
tf_efficientnet_cc_b1_8e,42.273,57.727,58.527,41.473,39.72,240,0.882,bicubic,-51.277,-40.183,+75
xcit_tiny_24_p16_224,42.273,57.727,56.780,43.220,12.12,224,1.000,bicubic,-51.547,-42.140,+36
convmixer_1024_20_ks9_p14,42.270,57.730,59.693,40.307,24.38,224,0.960,bicubic,-49.980,-38.557,+169
deit_small_patch16_224,42.257,57.743,58.027,41.973,22.05,224,0.900,bicubic,-51.683,-40.853,+17
tf_efficientnet_b2,42.197,57.803,58.203,41.797,9.11,260,0.890,bicubic,-51.983,-40.707,-6
Update results.csv files with latest weights
3 years ago
cait_xxs24_384,42.177,57.823,57.513,42.487,12.03,384,1.000,bicubic,-52.763,-41.617,-88
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
gluon_resnext50_32x4d,42.100,57.900,57.690,42.310,25.03,224,0.875,bicubic,-51.540,-41.090,+56
ecaresnet50d_pruned,41.993,58.007,58.323,41.677,19.94,224,0.875,bicubic,-51.797,-40.577,+33
efficientnet_b2,41.937,58.063,58.300,41.700,9.11,288,1.000,bicubic,-52.403,-40.790,-28
xcit_tiny_12_p16_224_dist,41.883,58.117,57.213,42.787,6.72,224,1.000,bicubic,-51.377,-41.537,+91
Update results.csv files with latest weights
3 years ago
gluon_senet154,41.700,58.300,56.480,43.520,115.09,224,0.875,bicubic,-53.000,-42.490,-71
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
dla102x2,41.677,58.323,58.033,41.967,41.28,224,0.875,bilinear,-52.273,-40.797,+8
inception_v4,41.647,58.353,55.367,44.633,42.68,299,0.875,bicubic,-52.683,-43.513,-31
hrnet_w64,41.617,58.383,57.173,42.827,128.06,224,0.875,bilinear,-52.203,-41.827,+22
haloregnetz_b,41.590,58.410,57.073,42.927,11.68,224,0.940,bicubic,-52.850,-42.027,-46
tf_efficientnet_cc_b0_8e,41.533,58.467,57.393,42.607,24.01,224,0.875,bicubic,-51.237,-41.157,+122
Update results.csv files with latest weights
3 years ago
efficientnet_el,41.503,58.497,58.317,41.683,10.59,300,0.904,bicubic,-53.167,-40.813,-72
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
efficientnet_em,41.477,58.523,58.873,41.127,6.90,240,0.882,bicubic,-52.233,-39.917,+34
resnetv2_50,41.447,58.553,56.750,43.250,25.55,224,0.950,bicubic,-52.813,-42.030,-29
swin_tiny_patch4_window7_224,41.403,58.597,57.333,42.667,28.29,224,0.900,bicubic,-53.237,-41.787,-70
cait_xxs24_224,41.387,58.613,57.523,42.477,11.96,224,1.000,bicubic,-52.073,-41.327,+64
resnext50_32x4d,41.373,58.627,56.940,43.060,25.03,224,0.875,bicubic,-52.447,-41.990,+15
tv_resnet152,41.320,58.680,57.587,42.413,60.19,224,0.875,bilinear,-51.860,-41.083,+84
gernet_s,41.317,58.683,58.880,41.120,8.17,224,0.875,bilinear,-51.033,-39.540,+142
xception71,41.300,58.700,55.940,44.060,42.34,299,0.903,bicubic,-52.590,-42.950,+3
gcresnext50ts,41.270,58.730,57.090,42.910,15.67,256,0.900,bicubic,-53.110,-41.970,-50
dpn92,41.263,58.737,56.313,43.687,37.67,224,0.875,bicubic,-52.877,-42.477,-25
adv_inception_v3,41.220,58.780,56.357,43.643,23.83,299,0.875,bicubic,-51.700,-42.353,+97
resnetblur50,41.073,58.927,57.080,42.920,25.56,224,0.875,bicubic,-52.597,-41.620,+28
nf_regnet_b1,41.053,58.947,58.157,41.843,10.22,288,0.900,bicubic,-52.797,-40.743,+2
gluon_resnet50_v1d,41.017,58.983,57.147,42.853,25.58,224,0.875,bicubic,-52.483,-41.533,+49
ese_vovnet39b,40.883,59.117,57.023,42.977,24.57,224,0.875,bicubic,-52.967,-41.747,+3
gluon_inception_v3,40.880,59.120,55.670,44.330,23.83,299,0.875,bicubic,-52.690,-43.080,+41
resnet34d,40.853,59.147,56.527,43.473,21.82,224,0.875,bicubic,-51.707,-42.023,+119
regnety_320,40.837,59.163,56.173,43.827,145.05,224,0.875,bicubic,-53.623,-42.827,-67
levit_192,40.800,59.200,56.663,43.337,10.95,224,0.900,bicubic,-52.890,-42.057,+20
xception,40.793,59.207,56.507,43.493,22.86,299,0.897,bicubic,-52.827,-42.263,+28
gluon_resnet101_v1b,40.703,59.297,56.193,43.807,44.55,224,0.875,bicubic,-53.047,-42.727,+10
skresnext50_32x4d,40.690,59.310,56.017,43.983,27.48,224,0.875,bicubic,-53.240,-42.913,-16
repvgg_b1,40.683,59.317,57.830,42.170,57.42,224,0.875,bilinear,-52.607,-40.920,+57
hrnet_w40,40.660,59.340,56.860,43.140,57.56,224,0.875,bilinear,-53.040,-41.950,+14
resmlp_24_224,40.660,59.340,56.597,43.403,30.02,224,0.875,bicubic,-52.740,-42.163,+51
tf_efficientnet_lite3,40.613,59.387,56.573,43.427,8.20,300,0.904,bilinear,-53.447,-42.447,-34
regnetx_320,40.533,59.467,55.667,44.333,107.81,224,0.875,bicubic,-53.647,-43.353,-46
xcit_tiny_12_p8_224,40.533,59.467,55.583,44.417,6.71,224,1.000,bicubic,-53.787,-43.217,-62
repvgg_b2,40.523,59.477,57.790,42.210,89.02,224,0.875,bilinear,-52.997,-40.840,+31
Update results.csv files with latest weights
3 years ago
tresnet_m_448,40.520,59.480,56.673,43.327,31.39,448,0.875,bilinear,-54.150,-42.497,-100
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
pit_xs_224,40.513,59.487,56.543,43.457,10.62,224,0.900,bicubic,-52.327,-42.077,+85
dla169,40.507,59.493,57.320,42.680,53.39,224,0.875,bilinear,-53.253,-41.530,-3
wide_resnet101_2,40.477,59.523,55.863,44.137,126.89,224,0.875,bilinear,-53.233,-42.937,+4
efficientnet_b2_pruned,40.457,59.543,56.603,43.397,8.31,260,0.890,bicubic,-53.313,-42.117,-7
resnet50,40.397,59.603,54.667,45.333,25.56,224,0.950,bicubic,-53.503,-44.413,-28
skresnet34,40.373,59.627,56.793,43.207,22.28,224,0.875,bicubic,-52.067,-41.697,+107
tf_efficientnet_b0_ap,40.357,59.643,56.823,43.177,5.29,224,0.875,bicubic,-52.193,-41.727,+101
regnetx_160,40.350,59.650,56.090,43.910,54.28,224,0.875,bicubic,-53.520,-42.800,-25
legacy_seresnext101_32x4d,40.323,59.677,54.843,45.157,48.96,224,0.875,bilinear,-53.797,-44.097,-52
xception65,40.320,59.680,55.263,44.737,39.92,299,0.903,bicubic,-53.390,-43.537,-4
Update results.csv files with latest weights
3 years ago
coat_mini,40.310,59.690,55.153,44.847,10.34,224,0.900,bicubic,-54.450,-43.797,-124
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
densenet201,40.297,59.703,56.770,43.230,20.01,224,0.875,bicubic,-52.313,-41.740,+89
efficientnet_el_pruned,40.293,59.707,56.750,43.250,10.59,300,0.904,bicubic,-53.727,-42.000,-45
coat_lite_mini,40.280,59.720,55.670,44.330,11.01,224,0.900,bicubic,-53.160,-43.210,+25
eca_resnet33ts,40.193,59.807,56.963,43.037,19.68,256,0.900,bicubic,-53.657,-41.857,-28
hrnet_w48,40.160,59.840,56.597,43.403,77.47,224,0.875,bilinear,-53.800,-42.243,-45
resnext50d_32x4d,40.150,59.850,55.593,44.407,25.05,224,0.875,bicubic,-53.620,-43.247,-21
vit_base_patch16_sam_224,40.133,59.867,55.530,44.470,86.57,224,0.900,bicubic,-53.717,-43.340,-34
halonet50ts,40.113,59.887,54.453,45.547,22.73,256,0.940,bicubic,-54.267,-44.607,-285
legacy_seresnet152,40.053,59.947,55.887,44.113,66.82,224,0.875,bilinear,-53.377,-42.953,+23
tf_efficientnet_b1,40.043,59.957,56.213,43.787,7.79,240,0.882,bicubic,-53.627,-42.737,-9
hrnet_w30,40.013,59.987,57.123,42.877,37.71,224,0.875,bilinear,-53.327,-41.627,+27
Update results.csv files with latest weights
3 years ago
regnetz_b,39.990,60.010,55.657,44.343,9.72,288,0.940,bicubic,-54.700,-43.503,-126
Fixed botne*t26 model results, add some 50ts self-attn variants
3 years ago
regnetx_080,39.967,60.033,56.057,43.943,39.57,224,0.875,bicubic,-53.803,-42.893,-25
gluon_resnet101_v1c,39.953,60.047,55.253,44.747,44.57,224,0.875,bicubic,-53.667,-43.697,-7
resmlp_12_distilled_224,39.880,60.120,57.473,42.527,15.35,224,0.875,bicubic,-52.910,-41.127,+65
seresnet33ts,39.813,60.187,56.503,43.497,19.78,256,0.900,bicubic,-54.397,-42.547,-79
tf_efficientnetv2_b0,39.800,60.200,56.297,43.703,7.14,224,0.875,bicubic,-53.220,-42.403,+43
res2net50_26w_8s,39.747,60.253,54.947,45.053,48.40,224,0.875,bilinear,-53.663,-43.833,+17
vit_small_patch32_224,39.747,60.253,55.283,44.717,22.88,224,0.900,bicubic,-52.273,-43.237,+106
lambda_resnet50ts,39.723,60.277,54.367,45.633,21.54,256,0.950,bicubic,-54.827,-44.553,-300
res2net101_26w_4s,39.723,60.277,54.613,45.387,45.21,224,0.875,bilinear,-53.767,-44.157,+4
regnetx_120,39.707,60.293,55.693,44.307,46.11,224,0.875,bicubic,-54.563,-43.397,-89
hrnet_w44,39.660,60.340,55.313,44.687,67.06,224,0.875,bilinear,-53.940,-43.397,-11
xception41,39.660,60.340,54.977,45.023,26.97,299,0.903,bicubic,-53.770,-43.693,+7
sehalonet33ts,39.640,60.360,53.967,46.033,13.69,256,0.940,bicubic,-54.850,-45.053,-114
resmlp_big_24_224,39.610,60.390,54.767,45.233,129.14,224,0.875,bicubic,-54.600,-44.243,-89
tf_efficientnetv2_b1,39.607,60.393,55.490,44.510,8.14,240,0.882,bicubic,-54.063,-43.460,-24
dla102x,39.593,60.407,56.337,43.663,26.31,224,0.875,bilinear,-53.897,-42.443,-2
densenet161,39.590,60.410,56.180,43.820,28.68,224,0.875,bicubic,-53.240,-42.460,+50
mixnet_xl,39.553,60.447,55.827,44.173,11.90,224,0.875,bicubic,-54.647,-43.203,-91
hrnet_w32,39.523,60.477,56.267,43.733,41.23,224,0.875,bilinear,-53.357,-42.543,+42
lamhalobotnet50ts_256,39.517,60.483,53.860,46.140,22.57,256,0.950,bicubic,-55.083,-45.280,-309
gcresnet33ts,39.507,60.493,55.863,44.137,19.88,256,0.900,bicubic,-54.293,-42.867,-48
xcit_tiny_12_p16_224,39.477,60.523,55.023,44.977,6.72,224,1.000,bicubic,-52.923,-43.447,+75
rexnet_130,39.477,60.523,56.633,43.367,7.56,224,0.875,bicubic,-54.183,-42.127,-29
levit_128,39.453,60.547,55.460,44.540,9.21,224,0.900,bicubic,-53.527,-43.160,+29
resnetv2_50x1_bitm,39.407,60.593,57.873,42.127,25.55,448,1.000,bilinear,-55.353,-41.307,-157
regnety_064,39.390,60.610,55.817,44.183,30.58,224,0.875,bicubic,-54.690,-43.133,-86
regnety_120,39.377,60.623,55.347,44.653,51.82,224,0.875,bicubic,-54.653,-43.683,-81
tf_efficientnet_el,39.353,60.647,55.443,44.557,10.59,300,0.904,bicubic,-54.967,-43.717,-111
tf_inception_v3,39.353,60.647,54.373,45.627,23.83,299,0.875,bicubic,-53.747,-44.347,+14
halo2botnet50ts_256,39.313,60.687,53.643,46.357,22.64,256,0.950,bicubic,-55.217,-45.137,-299
densenetblur121d,39.310,60.690,56.650,43.350,8.00,224,0.875,bicubic,-52.950,-41.950,+73
gluon_resnet50_v1s,39.283,60.717,55.100,44.900,25.68,224,0.875,bicubic,-54.287,-43.970,-25
tv_resnet101,39.273,60.727,55.833,44.167,44.55,224,0.875,bilinear,-53.527,-42.637,+37
tf_efficientnetv2_b2,39.190,60.810,54.620,45.380,10.10,260,0.890,bicubic,-54.840,-44.210,-86
densenet169,39.177,60.823,55.850,44.150,14.15,224,0.875,bicubic,-52.993,-42.570,+74
legacy_seresnet101,39.123,60.877,55.100,44.900,49.33,224,0.875,bilinear,-54.107,-43.720,+1
repvgg_b1g4,39.000,61.000,56.433,43.567,39.97,224,0.875,bilinear,-53.990,-42.047,+16
regnety_080,38.973,61.027,55.193,44.807,39.18,224,0.875,bicubic,-54.907,-43.607,-75
dpn68,38.967,61.033,54.977,45.023,12.61,224,0.875,bicubic,-53.163,-43.593,+72
efficientnet_b1_pruned,38.967,61.033,55.607,44.393,6.33,240,0.882,bicubic,-53.933,-43.183,+22
inception_v3,38.953,61.047,53.850,46.150,23.83,299,0.875,bicubic,-53.887,-44.590,+27
crossvit_9_dagger_240,38.947,61.053,54.913,45.087,8.78,240,0.875,bicubic,-53.713,-43.617,+38
legacy_seresnext50_32x4d,38.897,61.103,54.637,45.363,27.56,224,0.875,bilinear,-54.393,-44.143,-13
resnet33ts,38.890,61.110,55.550,44.450,19.68,256,0.900,bicubic,-54.700,-43.290,-41
dla102,38.883,61.117,55.333,44.667,33.27,224,0.875,bilinear,-54.327,-43.387,-7
regnety_040,38.833,61.167,55.600,44.400,20.65,224,0.875,bicubic,-54.757,-43.230,-42
regnetx_040,38.803,61.197,55.493,44.507,22.12,224,0.875,bicubic,-54.847,-43.557,-52
resnet32ts,38.767,61.233,55.847,44.153,17.96,256,0.900,bicubic,-54.743,-43.003,-36
regnetx_032,38.760,61.240,55.160,44.840,15.30,224,0.875,bicubic,-54.450,-43.330,-10
densenet121,38.753,61.247,56.250,43.750,7.98,224,0.875,bicubic,-52.937,-41.990,+74
res2net50_14w_8s,38.720,61.280,54.197,45.803,25.06,224,0.875,bilinear,-54.230,-44.643,+6
dla60_res2net,38.687,61.313,54.613,45.387,20.85,224,0.875,bilinear,-54.583,-44.127,-19
res2net50_26w_6s,38.660,61.340,53.810,46.190,37.05,224,0.875,bilinear,-54.900,-44.990,-44
selecsls60,38.623,61.377,55.693,44.307,30.67,224,0.875,bicubic,-54.317,-42.997,+4
dla60x,38.617,61.383,55.500,44.500,17.35,224,0.875,bilinear,-54.443,-43.200,-10
selecsls60b,38.573,61.427,55.327,44.673,32.77,224,0.875,bicubic,-54.857,-43.483,-34
tf_efficientnet_b0,38.550,61.450,56.083,43.917,5.29,224,0.875,bicubic,-53.710,-42.287,+48
dla60_res2next,38.530,61.470,55.003,44.997,17.03,224,0.875,bilinear,-54.980,-43.777,-45
repvgg_a2,38.507,61.493,55.827,44.173,28.21,224,0.875,bilinear,-54.063,-42.723,+26
hardcorenas_f,38.507,61.493,55.743,44.257,8.20,224,0.875,bilinear,-54.403,-42.987,+1
regnetx_064,38.493,61.507,55.027,44.973,26.21,224,0.875,bicubic,-55.117,-43.613,-61
gluon_resnet50_v1b,38.457,61.543,54.897,45.103,25.56,224,0.875,bicubic,-53.973,-43.643,+33
resmlp_12_224,38.453,61.547,56.387,43.613,15.35,224,0.875,bicubic,-53.517,-42.013,+54
tf_efficientnet_cc_b0_4e,38.427,61.573,55.200,44.800,13.31,224,0.875,bicubic,-54.323,-43.450,+10
hrnet_w18,38.380,61.620,55.750,44.250,21.30,224,0.875,bilinear,-54.290,-42.910,+14
mixnet_l,38.233,61.767,54.857,45.143,7.33,224,0.875,bicubic,-55.017,-43.993,-30
hardcorenas_e,38.130,61.870,55.193,44.807,8.07,224,0.875,bilinear,-54.770,-43.127,-6
efficientnet_b1,38.107,61.893,54.090,45.910,7.79,256,1.000,bicubic,-54.853,-44.480,-12
coat_lite_tiny,38.080,61.920,53.467,46.533,5.72,224,0.900,bicubic,-54.610,-45.193,+6
eca_halonext26ts,38.067,61.933,54.167,45.833,10.76,256,0.940,bicubic,-54.973,-44.653,-22
gmixer_24_224,37.977,62.023,52.117,47.883,24.72,224,0.875,bicubic,-54.623,-46.253,+13
resnetrs50,37.907,62.093,53.320,46.680,35.69,224,0.910,bicubic,-56.083,-45.640,-121
hardcorenas_c,37.887,62.113,55.720,44.280,5.52,224,0.875,bilinear,-54.363,-42.750,+34
gluon_resnet50_v1c,37.867,62.133,54.150,45.850,25.58,224,0.875,bicubic,-55.003,-44.480,-9
efficientnet_es,37.837,62.163,54.987,45.013,5.44,224,0.875,bicubic,-55.043,-43.673,-11
res2net50_26w_4s,37.820,62.180,53.113,46.887,25.70,224,0.875,bilinear,-55.220,-45.577,-29
resnest14d,37.790,62.210,56.570,43.430,10.61,224,0.875,bilinear,-53.280,-41.740,+74
tv_resnext50_32x4d,37.783,62.217,54.153,45.847,25.03,224,0.875,bilinear,-55.067,-44.307,-12
resnet26t,37.753,62.247,55.300,44.700,16.01,256,0.940,bicubic,-54.847,-43.130,+4
ecaresnet26t,37.597,62.403,54.353,45.647,16.01,320,0.950,bicubic,-56.303,-44.597,-120
hardcorenas_d,37.550,62.450,54.723,45.277,7.50,224,0.875,bilinear,-54.930,-43.717,+9
res2next50,37.537,62.463,52.883,47.117,24.67,224,0.875,bilinear,-55.493,-45.807,-33
resnet34,37.497,62.503,54.327,45.673,21.80,224,0.875,bilinear,-53.593,-43.943,+65
lambda_resnet26t,37.370,62.630,53.550,46.450,10.96,256,0.940,bicubic,-55.920,-45.160,-52
pit_ti_distilled_224,37.320,62.680,55.183,44.817,5.10,224,0.900,bicubic,-53.210,-42.767,+74
hardcorenas_b,37.280,62.720,55.040,44.960,5.18,224,0.875,bilinear,-54.430,-43.360,+37
mobilenetv3_large_100_miil,37.247,62.753,53.560,46.440,5.48,224,0.875,bilinear,-54.853,-44.870,+26
regnety_016,37.143,62.857,54.147,45.853,11.20,224,0.875,bicubic,-55.817,-44.373,-33
res2net50_48w_2s,37.143,62.857,53.410,46.590,25.29,224,0.875,bilinear,-55.547,-45.220,-13
lambda_resnet26rpt_256,37.113,62.887,53.843,46.157,10.99,256,0.940,bicubic,-56.297,-44.987,-66
dla60,37.110,62.890,54.297,45.703,22.04,224,0.875,bilinear,-55.530,-44.143,-10
bat_resnext26ts,37.090,62.910,53.750,46.250,10.73,256,0.900,bicubic,-55.930,-44.960,-42
rexnet_100,37.060,62.940,54.070,45.930,4.80,224,0.875,bicubic,-55.690,-44.440,-20
tf_mixnet_l,37.040,62.960,52.710,47.290,7.33,224,0.875,bicubic,-55.960,-46.120,-42
botnet26t_256,36.963,63.037,53.070,46.930,12.49,256,0.950,bicubic,-56.447,-45.730,-173
legacy_seresnet50,36.933,63.067,53.517,46.483,28.09,224,0.875,bilinear,-55.657,-44.903,-10
tf_efficientnet_lite2,36.890,63.110,53.367,46.633,6.09,260,0.890,bicubic,-55.580,-45.133,-4
halonet26t,36.783,63.217,52.267,47.733,12.48,256,0.950,bicubic,-56.797,-46.473,-92
regnetx_016,36.767,63.233,53.293,46.707,9.19,224,0.875,bicubic,-55.693,-45.337,-5
tv_densenet121,36.747,63.253,54.000,46.000,7.98,224,0.875,bicubic,-54.453,-44.040,+42
mobilenetv2_120d,36.717,63.283,53.967,46.033,5.83,224,0.875,bicubic,-55.843,-44.543,-12
hardcorenas_a,36.707,63.293,54.923,45.077,5.26,224,0.875,bilinear,-54.753,-43.347,+32
eca_botnext26ts_256,36.673,63.327,52.493,47.507,10.59,256,0.950,bicubic,-56.587,-46.347,-165
tf_efficientnet_lite1,36.667,63.333,53.687,46.313,5.42,240,0.882,bicubic,-55.543,-44.593,+6
efficientnet_b0,36.603,63.397,53.490,46.510,5.29,224,0.875,bicubic,-55.797,-44.930,-5
vit_base_patch32_sam_224,36.593,63.407,53.087,46.913,88.22,224,0.900,bicubic,-52.787,-44.433,+70
levit_128s,36.593,63.407,53.083,46.917,7.78,224,0.900,bicubic,-54.727,-45.097,+32
xcit_nano_12_p8_224_dist,36.503,63.497,52.780,47.220,3.05,224,1.000,bicubic,-55.787,-45.810,-3
tf_efficientnet_em,36.450,63.550,52.860,47.140,6.90,240,0.882,bicubic,-56.600,-45.680,-61
skresnet18,36.343,63.657,54.267,45.733,11.96,224,0.875,bicubic,-53.257,-43.693,+64
repvgg_b0,36.317,63.683,54.113,45.887,15.82,224,0.875,bilinear,-55.163,-44.087,+22
xcit_nano_12_p16_384_dist,36.153,63.847,53.217,46.783,3.05,384,1.000,bicubic,-55.737,-45.203,+10
legacy_seresnet34,36.147,63.853,52.547,47.453,21.96,224,0.875,bilinear,-55.133,-45.543,+26
tv_resnet50,36.143,63.857,52.873,47.127,25.56,224,0.875,bilinear,-55.797,-45.407,+6
coat_tiny,36.100,63.900,51.073,48.927,5.50,224,0.900,bicubic,-57.380,-47.687,-95
deit_tiny_distilled_patch16_224,36.093,63.907,54.273,45.727,5.91,224,0.900,bicubic,-54.607,-43.757,+42
tv_resnet34,36.057,63.943,53.530,46.470,21.80,224,0.875,bilinear,-53.783,-44.310,+55
tf_efficientnet_lite0,36.020,63.980,53.520,46.480,4.65,224,0.875,bicubic,-55.170,-44.710,+27
mobilenetv2_140,35.980,64.020,53.920,46.080,6.11,224,0.875,bicubic,-55.800,-44.380,+4
selecsls42b,35.830,64.170,52.537,47.463,32.46,224,0.875,bicubic,-56.590,-46.073,-22
seresnext26ts,35.807,64.193,53.990,46.010,10.39,256,0.900,bicubic,-56.873,-44.610,-42
gluon_resnet34_v1b,35.750,64.250,52.290,47.710,21.80,224,0.875,bicubic,-55.000,-45.790,+35
xcit_nano_12_p8_384_dist,35.730,64.270,52.297,47.703,3.05,384,1.000,bicubic,-57.410,-46.393,-79
mixnet_m,35.677,64.323,52.447,47.553,5.01,224,0.875,bicubic,-56.473,-46.063,-12
efficientnet_lite0,35.653,64.347,53.693,46.307,4.65,224,0.875,bicubic,-55.477,-43.717,+23
dla34,35.647,64.353,52.817,47.183,15.74,224,0.875,bilinear,-55.503,-45.533,+21
ssl_resnet18,35.630,64.370,53.813,46.187,11.69,224,0.875,bilinear,-54.810,-44.207,+37
mobilenetv3_rw,35.620,64.380,53.740,46.260,5.48,224,0.875,bicubic,-55.780,-44.510,+9
efficientnet_es_pruned,35.373,64.627,52.853,47.147,5.44,224,0.875,bicubic,-56.177,-45.417,+2
mobilenetv2_110d,35.277,64.723,52.823,47.177,4.52,224,0.875,bicubic,-55.913,-45.547,+14
hrnet_w18_small_v2,35.227,64.773,52.500,47.500,15.60,224,0.875,bilinear,-55.863,-45.710,+21
tf_mixnet_m,35.217,64.783,50.977,49.023,5.01,224,0.875,bicubic,-56.813,-47.273,-15
resnet18d,35.120,64.880,52.883,47.117,11.71,224,0.875,bicubic,-54.330,-44.897,+42
convit_tiny,35.103,64.897,51.850,48.150,5.71,224,0.875,bicubic,-55.207,-46.120,+32
xcit_nano_12_p16_224_dist,35.103,64.897,52.500,47.500,3.05,224,1.000,bicubic,-54.587,-45.050,+38
resnext26ts,35.097,64.903,53.447,46.553,10.30,256,0.900,bicubic,-57.003,-45.073,-20
gcresnext26ts,34.973,65.027,51.613,48.387,10.48,256,0.900,bicubic,-57.437,-46.897,-38
eca_resnext26ts,34.970,65.030,52.323,47.677,10.30,256,0.900,bicubic,-57.350,-46.167,-34
regnety_008,34.883,65.117,51.863,48.137,6.26,224,0.875,bicubic,-56.777,-46.397,-11
ese_vovnet19b_dw,34.830,65.170,51.997,48.003,6.54,224,0.875,bicubic,-56.890,-46.433,-16
crossvit_9_240,34.680,65.320,51.793,48.207,8.55,240,0.875,bicubic,-55.930,-46.157,+18
pit_ti_224,34.637,65.363,52.127,47.873,4.85,224,0.900,bicubic,-55.353,-45.713,+27
mobilenetv3_large_100,34.570,65.430,52.917,47.083,5.48,224,0.875,bicubic,-56.690,-44.903,-3
seresnext26t_32x4d,34.560,65.440,51.480,48.520,16.81,224,0.875,bicubic,-58.110,-46.780,-64
seresnext26d_32x4d,34.527,65.473,51.570,48.430,16.81,224,0.875,bicubic,-57.803,-46.770,-42
resnet26d,34.333,65.667,51.857,48.143,16.01,224,0.875,bicubic,-57.777,-46.563,-32
mixer_b16_224,34.327,65.673,48.050,51.950,59.88,224,0.875,bicubic,-56.663,-50.070,+7
fbnetc_100,34.320,65.680,51.240,48.760,5.57,224,0.875,bilinear,-56.850,-47.110,-2
tf_efficientnet_es,34.273,65.727,51.467,48.533,5.44,224,0.875,bicubic,-57.657,-46.863,-28
regnety_006,34.243,65.757,51.297,48.703,6.06,224,0.875,bicubic,-57.167,-46.953,-14
tf_mobilenetv3_large_100,33.977,66.023,51.520,48.480,5.48,224,0.875,bilinear,-57.273,-46.730,-9
mnasnet_100,33.847,66.153,51.247,48.753,4.38,224,0.875,bicubic,-57.253,-46.993,-3
regnetx_008,33.733,66.267,50.590,49.410,7.26,224,0.875,bicubic,-57.357,-47.590,-2
xcit_nano_12_p8_224,33.610,66.390,50.230,49.770,3.05,224,1.000,bicubic,-57.290,-48.000,+1
vit_tiny_r_s16_p8_384,33.593,66.407,50.650,49.350,6.36,384,1.000,bicubic,-57.987,-47.780,-26
resnet26,33.593,66.407,51.017,48.983,16.00,224,0.875,bicubic,-57.657,-47.163,-14
mixnet_s,33.587,66.413,51.030,48.970,4.13,224,0.875,bicubic,-58.023,-47.140,-28
semnasnet_100,33.550,66.450,50.837,49.163,3.89,224,0.875,bicubic,-57.930,-47.493,-24
vit_tiny_patch16_384,33.547,66.453,51.003,48.997,5.79,384,1.000,bicubic,-59.833,-47.827,-129
spnasnet_100,33.513,66.487,51.303,48.697,4.42,224,0.875,bilinear,-56.797,-46.577,+5
crossvit_tiny_240,33.380,66.620,49.917,50.083,7.01,240,0.875,bicubic,-56.810,-47.843,+6
vgg19_bn,33.313,66.687,50.877,49.123,143.68,224,0.875,bilinear,-57.237,-47.333,-2
regnetx_006,33.207,66.793,50.300,49.700,6.20,224,0.875,bicubic,-57.313,-47.690,-1
ghostnet_100,33.180,66.820,51.143,48.857,5.18,224,0.875,bilinear,-56.720,-46.757,+6
xcit_nano_12_p16_224,33.060,66.940,50.070,49.930,3.05,224,1.000,bicubic,-54.300,-46.920,+22
resnet18,33.040,66.960,51.127,48.873,11.69,224,0.875,bilinear,-52.950,-45.283,+25
legacy_seresnext26_32x4d,32.747,67.253,49.210,50.790,16.79,224,0.875,bicubic,-59.723,-49.470,-74
hrnet_w18_small,32.720,67.280,50.673,49.327,13.19,224,0.875,bilinear,-56.680,-47.017,+8
deit_tiny_patch16_224,32.703,67.297,50.323,49.677,5.72,224,0.900,bicubic,-56.457,-46.997,+11
legacy_seresnet18,32.637,67.363,50.360,49.640,11.78,224,0.875,bicubic,-55.573,-47.060,+14
regnetx_004,32.577,67.423,49.390,50.610,5.16,224,0.875,bicubic,-56.383,-48.020,+10
mobilenetv2_100,32.570,67.430,50.867,49.133,3.50,224,0.875,bicubic,-56.680,-46.823,+6
regnety_004,32.407,67.593,49.500,50.500,4.34,224,0.875,bicubic,-58.033,-48.340,-10
gluon_resnet18_v1b,32.393,67.607,49.710,50.290,11.69,224,0.875,bicubic,-54.937,-47.400,+14
tf_mixnet_s,32.223,67.777,48.610,51.390,4.13,224,0.875,bicubic,-59.277,-49.790,-43
vit_tiny_patch16_224,32.147,67.853,49.103,50.897,5.72,224,0.900,bicubic,-59.523,-49.347,-49
tf_mobilenetv3_large_075,31.947,68.053,49.147,50.853,3.99,224,0.875,bilinear,-57.923,-48.453,-6
tf_mobilenetv3_large_minimal_100,31.603,68.397,49.407,50.593,3.92,224,0.875,bilinear,-55.947,-47.713,+8
vit_tiny_r_s16_p8_224,30.850,69.150,47.673,52.327,6.34,224,0.900,bicubic,-57.820,-49.437,+3
vgg16_bn,30.363,69.637,47.267,52.733,138.37,224,0.875,bilinear,-59.807,-50.513,-12
regnety_002,29.683,70.317,46.887,53.113,3.16,224,0.875,bicubic,-57.277,-47.143,+9
vgg13_bn,28.970,71.030,46.827,53.173,133.05,224,0.875,bilinear,-59.190,-50.293,+3
regnetx_002,28.887,71.113,45.587,54.413,2.68,224,0.875,bicubic,-55.823,-50.623,+10
vgg19,28.687,71.313,45.257,54.743,143.67,224,0.875,bilinear,-60.523,-52.283,-5
dla60x_c,28.520,71.480,46.260,53.740,1.32,224,0.875,bilinear,-54.160,-48.750,+10
vgg11_bn,28.380,71.620,46.507,53.493,132.87,224,0.875,bilinear,-58.700,-50.633,+3
vgg16,27.990,72.010,44.743,55.257,138.36,224,0.875,bilinear,-60.400,-52.537,-4
tf_mobilenetv3_small_100,27.350,72.650,44.490,55.510,2.54,224,0.875,bilinear,-67.210,-54.160,+9
mixer_l16_224,26.797,73.203,37.860,62.140,208.20,224,0.875,bicubic,-67.813,-60.750,+7
vgg11,26.610,73.390,43.510,56.490,132.86,224,0.875,bilinear,-57.920,-52.380,+4
vgg13,26.317,73.683,43.463,56.537,133.05,224,0.875,bilinear,-59.153,-52.987,+1
dla46x_c,26.283,73.717,43.907,56.093,1.07,224,0.875,bilinear,-68.267,-54.853,+6
tf_mobilenetv3_small_075,26.273,73.727,43.710,56.290,2.04,224,0.875,bilinear,-67.167,-54.950,+7
dla46_c,25.493,74.507,43.953,56.047,1.30,224,0.875,bilinear,-68.927,-54.807,+5
tf_mobilenetv3_small_minimal_100,25.107,74.893,42.987,57.013,2.04,224,0.875,bilinear,-68.253,-55.703,+6