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pytorch-image-models/results/results-imagenet-r-clean.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
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_efficientnet_l2_ns,97.780,2.220,99.890,0.110,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,97.750,2.250,99.820,0.180,480.31,475,0.936,bicubic
Update results csvs, run with PyTorch 1.7.1 cuda 10.2, some differences from prev run with older PT ver.
3 years ago
tf_efficientnet_b7_ns,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
swin_large_patch4_window12_384,97.170,2.830,99.680,0.320,196.74,384,1.000,bicubic
swin_base_patch4_window12_384,97.120,2.880,99.780,0.220,87.90,384,1.000,bicubic
tf_efficientnet_b6_ns,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic
dm_nfnet_f6,96.990,3.010,99.740,0.260,438.36,576,0.956,bicubic
ig_resnext101_32x48d,96.970,3.030,99.670,0.330,828.41,224,0.875,bilinear
swin_large_patch4_window7_224,96.950,3.050,99.660,0.340,196.53,224,0.900,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
cait_m48_448,96.880,3.120,99.620,0.380,356.46,448,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
resnetv2_152x4_bitm,96.880,3.120,99.660,0.340,936.53,480,1.000,bilinear
tf_efficientnet_b5_ns,96.870,3.130,99.640,0.360,30.39,456,0.934,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
cait_m36_384,96.830,3.170,99.660,0.340,271.22,384,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
dm_nfnet_f4,96.820,3.180,99.600,0.400,316.07,512,0.951,bicubic
ig_resnext101_32x32d,96.780,3.220,99.530,0.470,468.53,224,0.875,bilinear
dm_nfnet_f5,96.710,3.290,99.680,0.320,377.21,544,0.954,bicubic
tf_efficientnet_b4_ns,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic
tf_efficientnet_b8,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic
swin_base_patch4_window7_224,96.680,3.320,99.660,0.340,87.77,224,0.900,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
cait_s36_384,96.630,3.370,99.600,0.400,68.37,384,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
dm_nfnet_f3,96.630,3.370,99.640,0.360,254.92,416,0.940,bicubic
tf_efficientnet_b7,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
cait_s24_384,96.570,3.430,99.550,0.450,47.06,384,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
vit_deit_base_distilled_patch16_384,96.510,3.490,99.590,0.410,87.63,384,1.000,bicubic
dm_nfnet_f2,96.500,3.500,99.570,0.430,193.78,352,0.920,bicubic
resnetv2_152x2_bitm,96.500,3.500,99.620,0.380,236.34,480,1.000,bilinear
ecaresnet269d,96.460,3.540,99.610,0.390,102.09,352,1.000,bicubic
vit_base_r50_s16_384,96.450,3.550,99.660,0.340,98.95,384,1.000,bicubic
ig_resnext101_32x16d,96.440,3.560,99.540,0.460,194.03,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
resnetrs420,96.400,3.600,99.540,0.460,191.89,416,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
dm_nfnet_f1,96.370,3.630,99.470,0.530,132.63,320,0.910,bicubic
Update results csvs, run with PyTorch 1.7.1 cuda 10.2, some differences from prev run with older PT ver.
3 years ago
tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
resnetv2_101x3_bitm,96.360,3.640,99.600,0.400,387.93,480,1.000,bilinear
vit_large_patch16_384,96.360,3.640,99.630,0.370,304.72,384,1.000,bicubic
Update results csvs, run with PyTorch 1.7.1 cuda 10.2, some differences from prev run with older PT ver.
3 years ago
tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
seresnet152d,96.310,3.690,99.510,0.490,66.84,320,1.000,bicubic
tf_efficientnet_b6,96.290,3.710,99.520,0.480,43.04,528,0.942,bicubic
swsl_resnext101_32x16d,96.270,3.730,99.500,0.500,194.03,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
resnetrs350,96.240,3.760,99.470,0.530,163.96,384,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
swsl_resnext101_32x8d,96.240,3.760,99.590,0.410,88.79,224,0.875,bilinear
vit_base_patch16_384,96.190,3.810,99.530,0.470,86.86,384,1.000,bicubic
resnetv2_50x3_bitm,96.140,3.860,99.620,0.380,217.32,480,1.000,bilinear
resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic
resnet200d,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic
tf_efficientnet_b3_ns,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic
Re-ran batch validation on all models across all sets
4 years ago
tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
pit_b_distilled_224,96.070,3.930,99.380,0.620,74.79,224,0.900,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
resnest200e,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic
resnetrs270,96.060,3.940,99.490,0.510,129.86,352,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
swsl_resnext101_32x4d,96.050,3.950,99.530,0.470,44.18,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
vit_base_patch16_224_miil,96.030,3.970,99.350,0.650,86.54,224,0.875,bilinear
cait_xs24_384,96.010,3.990,99.430,0.570,26.67,384,1.000,bicubic
resnetrs200,95.990,4.010,99.440,0.560,93.21,320,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_efficientnet_b5,95.980,4.020,99.450,0.550,30.39,456,0.934,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
resnetrs152,95.960,4.040,99.380,0.620,86.62,320,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
ig_resnext101_32x8d,95.930,4.070,99.380,0.620,88.79,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
eca_nfnet_l1,95.930,4.070,99.500,0.500,41.41,320,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
regnety_160,95.880,4.120,99.560,0.440,83.59,288,1.000,bicubic
resnet152d,95.870,4.130,99.430,0.570,60.21,320,1.000,bicubic
resnet101d,95.750,4.250,99.440,0.560,44.57,320,1.000,bicubic
vit_deit_base_distilled_patch16_224,95.750,4.250,99.280,0.720,87.34,224,0.900,bicubic
swin_small_patch4_window7_224,95.720,4.280,99.290,0.710,49.61,224,0.900,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
efficientnet_v2s,95.710,4.290,99.380,0.620,23.94,384,1.000,bicubic
cait_s24_224,95.650,4.350,99.390,0.610,46.92,224,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
vit_deit_base_patch16_384,95.650,4.350,99.240,0.760,86.86,384,1.000,bicubic
dm_nfnet_f0,95.630,4.370,99.300,0.700,71.49,256,0.900,bicubic
swsl_resnext50_32x4d,95.620,4.380,99.440,0.560,25.03,224,0.875,bilinear
tf_efficientnet_b4,95.590,4.410,99.330,0.670,19.34,380,0.922,bicubic
resnest101e,95.570,4.430,99.270,0.730,48.28,256,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
efficientnet_b4,95.520,4.480,99.390,0.610,19.34,384,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_efficientnet_b2_ns,95.520,4.480,99.340,0.660,9.11,260,0.890,bicubic
resnetv2_101x1_bitm,95.510,4.490,99.510,0.490,44.54,480,1.000,bilinear
tresnet_xl_448,95.510,4.490,99.340,0.660,78.44,448,0.875,bilinear
tf_efficientnet_b4_ap,95.490,4.510,99.390,0.610,19.34,380,0.922,bicubic
eca_nfnet_l0,95.470,4.530,99.380,0.620,24.14,288,1.000,bicubic
regnety_032,95.470,4.530,99.320,0.680,19.44,288,1.000,bicubic
ssl_resnext101_32x16d,95.410,4.590,99.410,0.590,194.03,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
tresnet_l_448,95.410,4.590,99.300,0.700,55.99,448,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
nfnet_l0,95.390,4.610,99.420,0.580,35.07,288,1.000,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
tresnet_m,95.380,4.620,99.150,0.850,31.39,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
pnasnet5large,95.360,4.640,99.130,0.870,86.06,331,0.911,bicubic
ssl_resnext101_32x8d,95.340,4.660,99.320,0.680,88.79,224,0.875,bilinear
vit_large_patch16_224,95.290,4.710,99.310,0.690,304.33,224,0.900,bicubic
vit_base_patch32_384,95.260,4.740,99.180,0.820,88.30,384,1.000,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
resnetrs101,95.250,4.750,99.210,0.790,63.62,288,0.940,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
vit_large_patch32_384,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
cait_xxs36_384,95.220,4.780,99.320,0.680,17.37,384,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
vit_base_patch16_224,95.210,4.790,99.230,0.770,86.57,224,0.900,bicubic
swsl_resnet50,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear
ssl_resnext101_32x4d,95.160,4.840,99.300,0.700,44.18,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
ecaresnet101d,95.160,4.840,99.230,0.770,44.57,224,0.875,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
nasnetalarge,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
efficientnet_b3,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
ecaresnet50t,95.070,4.930,99.290,0.710,25.57,320,0.950,bicubic
tresnet_xl,95.060,4.940,99.260,0.740,78.44,224,0.875,bilinear
vit_deit_base_patch16_224,95.010,4.990,98.980,1.020,86.57,224,0.900,bicubic
tf_efficientnet_b3_ap,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic
gernet_l,94.930,5.070,99.200,0.800,31.08,256,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
cait_xxs24_384,94.920,5.080,99.140,0.860,12.03,384,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_efficientnet_b3,94.910,5.090,99.110,0.890,12.23,300,0.904,bicubic
tresnet_l,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear
tf_efficientnet_lite4,94.870,5.130,99.090,0.910,13.01,380,0.920,bilinear
tf_efficientnet_b1_ns,94.860,5.140,99.250,0.750,7.79,240,0.882,bicubic
seresnext50_32x4d,94.820,5.180,99.130,0.870,27.56,224,0.875,bicubic
pit_b_224,94.790,5.210,98.820,1.180,73.76,224,0.900,bicubic
legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear
pit_s_distilled_224,94.730,5.270,99.190,0.810,24.04,224,0.900,bicubic
gluon_resnet152_v1s,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic
gluon_senet154,94.710,5.290,98.970,1.030,115.09,224,0.875,bicubic
resnest50d_4s2x40d,94.710,5.290,99.130,0.870,30.42,224,0.875,bicubic
ssl_resnext50_32x4d,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear
wide_resnet50_2,94.670,5.330,99.050,0.950,68.88,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
efficientnet_el,94.670,5.330,99.130,0.870,10.59,300,0.904,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
rexnet_200,94.660,5.340,99.090,0.910,16.37,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
tresnet_m_448,94.660,5.340,99.150,0.850,31.39,448,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
gluon_seresnext101_64x4d,94.650,5.350,98.980,1.020,88.23,224,0.875,bicubic
resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear
swin_tiny_patch4_window7_224,94.620,5.380,99.120,0.880,28.29,224,0.900,bicubic
pit_s_224,94.590,5.410,98.930,1.070,23.46,224,0.900,bicubic
vit_deit_small_distilled_patch16_224,94.590,5.410,99.100,0.900,22.44,224,0.900,bicubic
efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic
tnt_s_patch16_224,94.580,5.420,99.180,0.820,23.76,224,0.900,bicubic
resnetv2_50x1_bitm,94.550,5.450,99.250,0.750,25.55,480,1.000,bilinear
repvgg_b3,94.550,5.450,98.910,1.090,123.09,224,0.875,bilinear
gernet_m,94.550,5.450,98.930,1.070,21.14,224,0.875,bilinear
regnety_320,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic
repvgg_b3g4,94.490,5.510,99.020,0.980,83.83,224,0.875,bilinear
ecaresnet101d_pruned,94.450,5.550,99.100,0.900,24.88,224,0.875,bicubic
gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic
gluon_resnet152_v1d,94.440,5.560,99.010,0.990,60.21,224,0.875,bicubic
nf_resnet50,94.410,5.590,99.100,0.900,25.56,288,0.940,bicubic
resnest50d_1s4x24d,94.390,5.610,99.070,0.930,25.68,224,0.875,bicubic
inception_v4,94.380,5.620,98.820,1.180,42.68,299,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
efficientnet_b2,94.370,5.630,99.050,0.950,9.11,288,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_efficientnet_el,94.360,5.640,99.100,0.900,10.59,300,0.904,bicubic
gluon_resnext101_64x4d,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic
inception_resnet_v2,94.340,5.660,98.800,1.200,55.84,299,0.897,bicubic
ssl_resnet50,94.310,5.690,99.150,0.850,25.56,224,0.875,bilinear
regnetx_120,94.270,5.730,99.190,0.810,46.11,224,0.875,bicubic
rexnet_150,94.270,5.730,99.080,0.920,9.73,224,0.875,bicubic
tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
mixnet_xl,94.230,5.770,98.820,1.180,11.90,224,0.875,bicubic
regnetx_320,94.210,5.790,99.050,0.950,107.81,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
tf_efficientnet_b2,94.210,5.790,99.030,0.970,9.11,260,0.890,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
dpn92,94.190,5.810,98.930,1.070,37.67,224,0.875,bicubic
ecaresnet50d,94.190,5.810,99.020,0.980,25.58,224,0.875,bicubic
gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic
gluon_resnet101_v1d,94.170,5.830,98.940,1.060,44.57,224,0.875,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
ecaresnetlight,94.140,5.860,98.950,1.050,30.16,224,0.875,bicubic
regnety_064,94.140,5.860,99.030,0.970,30.58,224,0.875,bicubic
ens_adv_inception_resnet_v2,94.130,5.870,98.790,1.210,55.84,299,0.897,bicubic
legacy_seresnext101_32x4d,94.130,5.870,98.970,1.030,48.96,224,0.875,bilinear
tf_efficientnet_lite3,94.130,5.870,98.960,1.040,8.20,300,0.904,bilinear
gluon_resnext101_32x4d,94.120,5.880,98.930,1.070,44.18,224,0.875,bicubic
cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
efficientnet_el_pruned,94.090,5.910,99.010,0.990,10.59,300,0.904,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
seresnet50,94.080,5.920,98.970,1.030,28.09,224,0.875,bicubic
resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic
gluon_resnet152_v1b,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic
hrnet_w48,94.030,5.970,99.040,0.960,77.47,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
resnetrs50,94.020,5.980,98.850,1.150,35.69,224,0.910,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
gluon_xception65,94.010,5.990,99.020,0.980,39.92,299,0.903,bicubic
regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic
dla102x2,94.000,6.000,99.030,0.970,41.28,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
vit_deit_small_patch16_224,94.000,6.000,98.960,1.040,22.05,224,0.900,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
dpn107,93.960,6.040,98.840,1.160,86.92,224,0.875,bicubic
skresnext50_32x4d,93.950,6.050,98.820,1.180,27.48,224,0.875,bicubic
dpn98,93.940,6.060,98.920,1.080,61.57,224,0.875,bicubic
ecaresnet26t,93.940,6.060,98.920,1.080,16.01,320,0.950,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
cait_xxs36_224,93.940,6.060,98.890,1.110,17.30,224,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
nf_regnet_b1,93.890,6.110,98.750,1.250,10.22,288,0.900,bicubic
regnety_080,93.890,6.110,99.000,1.000,39.18,224,0.875,bicubic
Update results csvs, run with PyTorch 1.7.1 cuda 10.2, some differences from prev run with older PT ver.
3 years ago
xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
gluon_resnet152_v1c,93.880,6.120,98.800,1.200,60.21,224,0.875,bicubic
regnetx_160,93.880,6.120,99.090,0.910,54.28,224,0.875,bicubic
cspresnet50,93.860,6.140,98.870,1.130,21.62,256,0.887,bilinear
ese_vovnet39b,93.850,6.150,98.900,1.100,24.57,224,0.875,bicubic
resnext50_32x4d,93.840,6.160,98.830,1.170,25.03,224,0.875,bicubic
hrnet_w64,93.830,6.170,98.930,1.070,128.06,224,0.875,bilinear
repvgg_b2g4,93.820,6.180,98.930,1.070,61.76,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
resnext50d_32x4d,93.810,6.190,98.740,1.260,25.05,224,0.875,bicubic
efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
dla169,93.800,6.200,98.840,1.160,53.39,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
regnetx_080,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic
resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear
cspresnext50,93.760,6.240,98.840,1.160,20.57,224,0.875,bilinear
dpn131,93.760,6.240,98.800,1.200,79.25,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
gluon_resnet101_v1b,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic
xception65,93.760,6.240,98.860,1.140,39.92,299,0.903,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
efficientnet_em,93.740,6.260,98.930,1.070,6.90,240,0.882,bicubic
tf_efficientnet_b0_ns,93.740,6.260,98.980,1.020,5.29,224,0.875,bicubic
wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
Re-ran batch validation on all models across all sets
4 years ago
tf_efficientnet_b1,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
resnetblur50,93.710,6.290,98.810,1.190,25.56,224,0.875,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
gluon_resnet101_v1c,93.690,6.310,98.760,1.240,44.57,224,0.875,bicubic
regnetx_040,93.680,6.320,98.940,1.060,22.12,224,0.875,bicubic
rexnet_130,93.670,6.330,98.710,1.290,7.56,224,0.875,bicubic
gluon_resnext50_32x4d,93.650,6.350,98.690,1.310,25.03,224,0.875,bicubic
xception,93.640,6.360,98.770,1.230,22.86,299,0.897,bicubic
regnetx_064,93.630,6.370,99.050,0.950,26.21,224,0.875,bicubic
tf_efficientnet_b1_ap,93.630,6.370,98.800,1.200,7.79,240,0.882,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
regnety_040,93.620,6.380,98.950,1.050,20.65,224,0.875,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
dpn68b,93.620,6.380,98.700,1.300,12.61,224,0.875,bicubic
hrnet_w44,93.620,6.380,98.960,1.040,67.06,224,0.875,bilinear
gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic
repvgg_b2,93.590,6.410,99.070,0.930,89.02,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
res2net50_26w_6s,93.590,6.410,98.750,1.250,37.05,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
dla60_res2next,93.570,6.430,98.800,1.200,17.03,224,0.875,bilinear
tf_efficientnet_cc_b1_8e,93.570,6.430,98.690,1.310,39.72,240,0.882,bicubic
gluon_inception_v3,93.540,6.460,98.830,1.170,23.83,299,0.875,bicubic
dla102x,93.530,6.470,98.850,1.150,26.31,224,0.875,bilinear
gluon_resnet50_v1d,93.530,6.470,98.710,1.290,25.58,224,0.875,bicubic
res2net101_26w_4s,93.520,6.480,98.600,1.400,45.21,224,0.875,bilinear
selecsls60b,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
cait_xxs24_224,93.490,6.510,98.770,1.230,11.96,224,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
xception41,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic
resnet50,93.460,6.540,98.600,1.400,25.56,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
coat_lite_mini,93.450,6.550,98.780,1.220,11.01,224,0.900,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
res2net50_26w_8s,93.450,6.550,98.700,1.300,48.40,224,0.875,bilinear
legacy_seresnet152,93.440,6.560,98.850,1.150,66.82,224,0.875,bilinear
legacy_seresnext50_32x4d,93.430,6.570,98.800,1.200,27.56,224,0.875,bilinear
repvgg_b1,93.410,6.590,98.790,1.210,57.42,224,0.875,bilinear
dla60_res2net,93.380,6.620,98.860,1.140,20.85,224,0.875,bilinear
hrnet_w30,93.370,6.630,98.830,1.170,37.71,224,0.875,bilinear
dla102,93.260,6.740,98.780,1.220,33.27,224,0.875,bilinear
legacy_seresnet101,93.260,6.740,98.740,1.260,49.33,224,0.875,bilinear
mixnet_l,93.260,6.740,98.700,1.300,7.33,224,0.875,bicubic
regnetx_032,93.250,6.750,98.730,1.270,15.30,224,0.875,bicubic
pit_xs_distilled_224,93.240,6.760,98.820,1.180,11.00,224,0.900,bicubic
resnest26d,93.240,6.760,98.850,1.150,17.07,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
tv_resnet152,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_inception_v3,93.200,6.800,98.480,1.520,23.83,299,0.875,bicubic
dla60x,93.190,6.810,98.710,1.290,17.35,224,0.875,bilinear
res2net50_26w_4s,93.180,6.820,98.670,1.330,25.70,224,0.875,bilinear
tf_efficientnet_em,93.170,6.830,98.670,1.330,6.90,240,0.882,bicubic
res2next50,93.150,6.850,98.660,1.340,24.67,224,0.875,bilinear
tf_mixnet_l,93.040,6.960,98.540,1.460,7.33,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
efficientnet_b1,93.030,6.970,98.710,1.290,7.79,256,1.000,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
repvgg_b1g4,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
res2net50_14w_8s,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
adv_inception_v3,93.010,6.990,98.490,1.510,23.83,299,0.875,bicubic
selecsls60,93.010,6.990,98.830,1.170,30.67,224,0.875,bicubic
regnety_016,93.000,7.000,98.680,1.320,11.20,224,0.875,bicubic
efficientnet_b1_pruned,92.980,7.020,98.530,1.470,6.33,240,0.882,bicubic
hardcorenas_f,92.980,7.020,98.620,1.380,8.20,224,0.875,bilinear
hrnet_w32,92.950,7.050,98.840,1.160,41.23,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
hardcorenas_e,92.950,7.050,98.570,1.430,8.07,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
efficientnet_es,92.910,7.090,98.690,1.310,5.44,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
gluon_resnet50_v1c,92.910,7.090,98.710,1.290,25.58,224,0.875,bicubic
pit_xs_224,92.910,7.090,98.780,1.220,10.62,224,0.900,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
densenet161,92.900,7.100,98.810,1.190,28.68,224,0.875,bicubic
inception_v3,92.900,7.100,98.330,1.670,23.83,299,0.875,bicubic
tv_resnext50_32x4d,92.900,7.100,98.720,1.280,25.03,224,0.875,bilinear
tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
coat_lite_tiny,92.850,7.150,98.640,1.360,5.72,224,0.900,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
rexnet_100,92.850,7.150,98.620,1.380,4.80,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,92.840,7.160,98.440,1.560,13.31,224,0.875,bicubic
seresnext26t_32x4d,92.820,7.180,98.560,1.440,16.81,224,0.875,bicubic
res2net50_48w_2s,92.790,7.210,98.470,1.530,25.29,224,0.875,bilinear
hrnet_w18,92.760,7.240,98.660,1.340,21.30,224,0.875,bilinear
densenet201,92.690,7.310,98.650,1.350,20.01,224,0.875,bicubic
repvgg_a2,92.680,7.320,98.520,1.480,28.21,224,0.875,bilinear
dla60,92.670,7.330,98.630,1.370,22.04,224,0.875,bilinear
legacy_seresnet50,92.670,7.330,98.650,1.350,28.09,224,0.875,bilinear
resnet34d,92.640,7.360,98.420,1.580,21.82,224,0.875,bicubic
mobilenetv2_120d,92.610,7.390,98.510,1.490,5.83,224,0.875,bicubic
tf_efficientnet_b0_ap,92.610,7.390,98.370,1.630,5.29,224,0.875,bicubic
vit_small_patch16_224,92.600,7.400,98.390,1.610,48.75,224,0.900,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
hardcorenas_d,92.600,7.400,98.430,1.570,7.50,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_efficientnet_lite2,92.590,7.410,98.550,1.450,6.09,260,0.890,bicubic
legacy_seresnext26_32x4d,92.570,7.430,98.420,1.580,16.79,224,0.875,bicubic
skresnet34,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic
gluon_resnet50_v1b,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic
regnetx_016,92.540,7.460,98.550,1.450,9.19,224,0.875,bicubic
efficientnet_b0,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
selecsls42b,92.480,7.520,98.440,1.560,32.46,224,0.875,bicubic
gernet_s,92.440,7.560,98.500,1.500,8.17,224,0.875,bilinear
seresnext26d_32x4d,92.440,7.560,98.540,1.460,16.81,224,0.875,bicubic
densenetblur121d,92.400,7.600,98.410,1.590,8.00,224,0.875,bicubic
tf_efficientnet_b0,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic
hardcorenas_c,92.330,7.670,98.340,1.660,5.52,224,0.875,bilinear
tf_efficientnet_lite1,92.310,7.690,98.490,1.510,5.42,240,0.882,bicubic
densenet169,92.300,7.700,98.590,1.410,14.15,224,0.875,bicubic
mixnet_m,92.270,7.730,98.350,1.650,5.01,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
mobilenetv3_large_100_miil,92.250,7.750,98.250,1.750,5.48,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
dpn68,92.240,7.760,98.610,1.390,12.61,224,0.875,bicubic
resnet26d,92.230,7.770,98.450,1.550,16.01,224,0.875,bicubic
tf_mixnet_m,92.200,7.800,98.420,1.580,5.01,224,0.875,bicubic
tv_resnet50,92.140,7.860,98.420,1.580,25.56,224,0.875,bilinear
tf_efficientnet_es,92.100,7.900,98.440,1.560,5.44,224,0.875,bicubic
mobilenetv2_140,92.030,7.970,98.250,1.750,6.11,224,0.875,bicubic
ese_vovnet19b_dw,92.010,7.990,98.510,1.490,6.54,224,0.875,bicubic
densenet121,91.940,8.060,98.280,1.720,7.98,224,0.875,bicubic
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
hardcorenas_b,91.940,8.060,98.400,1.600,5.18,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
regnety_008,91.900,8.100,98.420,1.580,6.26,224,0.875,bicubic
mixnet_s,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic
efficientnet_es_pruned,91.700,8.300,98.420,1.580,5.44,224,0.875,bicubic
repvgg_b0,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear
tf_mixnet_s,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic
semnasnet_100,91.660,8.340,98.270,1.730,3.89,224,0.875,bicubic
hardcorenas_a,91.620,8.380,98.170,1.830,5.26,224,0.875,bilinear
regnety_006,91.570,8.430,98.430,1.570,6.06,224,0.875,bicubic
mobilenetv3_rw,91.550,8.450,98.270,1.730,5.48,224,0.875,bicubic
mobilenetv3_large_100,91.480,8.520,98.320,1.680,5.48,224,0.875,bicubic
legacy_seresnet34,91.480,8.520,98.200,1.800,21.96,224,0.875,bilinear
resnet26,91.440,8.560,98.280,1.720,16.00,224,0.875,bicubic
tf_mobilenetv3_large_100,91.420,8.580,98.260,1.740,5.48,224,0.875,bilinear
tv_densenet121,91.400,8.600,98.250,1.750,7.98,224,0.875,bicubic
mobilenetv2_110d,91.350,8.650,98.190,1.810,4.52,224,0.875,bicubic
tf_efficientnet_lite0,91.300,8.700,98.090,1.910,4.65,224,0.875,bicubic
fbnetc_100,91.270,8.730,97.830,2.170,5.57,224,0.875,bilinear
efficientnet_lite0,91.260,8.740,98.250,1.750,4.65,224,0.875,bicubic
dla34,91.240,8.760,98.180,1.820,15.74,224,0.875,bilinear
resnet34,91.200,8.800,98.240,1.760,21.80,224,0.875,bilinear
mnasnet_100,91.200,8.800,98.050,1.950,4.38,224,0.875,bicubic
regnetx_008,91.180,8.820,98.380,1.620,7.26,224,0.875,bicubic
hrnet_w18_small_v2,91.170,8.830,98.340,1.660,15.60,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
mixer_b16_224,91.140,8.860,97.400,2.600,59.88,224,0.875,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
resnest14d,91.130,8.870,98.330,1.670,10.61,224,0.875,bilinear
gluon_resnet34_v1b,91.100,8.900,98.180,1.820,21.80,224,0.875,bicubic
vit_deit_tiny_distilled_patch16_224,91.100,8.900,98.270,1.730,5.91,224,0.900,bicubic
swsl_resnet18,91.090,8.910,98.210,1.790,11.69,224,0.875,bilinear
vgg19_bn,90.990,9.010,98.110,1.890,143.68,224,0.875,bilinear
pit_ti_distilled_224,90.900,9.100,98.220,1.780,5.10,224,0.900,bicubic
regnety_004,90.780,9.220,98.080,1.920,4.34,224,0.875,bicubic
regnetx_006,90.760,9.240,98.100,1.900,6.20,224,0.875,bicubic
ssl_resnet18,90.700,9.300,98.020,1.980,11.69,224,0.875,bilinear
spnasnet_100,90.610,9.390,97.950,2.050,4.42,224,0.875,bilinear
vgg16_bn,90.540,9.460,97.990,2.010,138.37,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
ghostnet_100,90.440,9.560,97.830,2.170,5.18,224,0.875,bilinear
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
pit_ti_224,90.420,9.580,98.010,1.990,4.85,224,0.900,bicubic
tf_mobilenetv3_large_075,90.320,9.680,97.870,2.130,3.99,224,0.875,bilinear
tv_resnet34,90.290,9.710,97.980,2.020,21.80,224,0.875,bilinear
skresnet18,90.160,9.840,97.780,2.220,11.96,224,0.875,bicubic
resnet18d,89.990,10.010,97.830,2.170,11.71,224,0.875,bicubic
hrnet_w18_small,89.880,10.120,97.900,2.100,13.19,224,0.875,bilinear
mobilenetv2_100,89.830,10.170,97.830,2.170,3.50,224,0.875,bicubic
vgg19,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear
vit_deit_tiny_patch16_224,89.620,10.380,97.960,2.040,5.72,224,0.900,bicubic
regnetx_004,89.460,10.540,97.770,2.230,5.16,224,0.875,bicubic
vgg16,89.360,10.640,97.520,2.480,138.36,224,0.875,bilinear
legacy_seresnet18,89.270,10.730,97.680,2.320,11.78,224,0.875,bicubic
vgg13_bn,89.200,10.800,97.530,2.470,133.05,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,89.180,10.820,97.320,2.680,3.92,224,0.875,bilinear
gluon_resnet18_v1b,88.660,11.340,97.100,2.900,11.69,224,0.875,bicubic
vgg11_bn,88.390,11.610,97.270,2.730,132.87,224,0.875,bilinear
regnety_002,88.200,11.800,97.430,2.570,3.16,224,0.875,bicubic
resnet18,88.150,11.850,97.120,2.880,11.69,224,0.875,bilinear
vgg13,87.570,12.430,97.120,2.880,133.05,224,0.875,bilinear
regnetx_002,87.380,12.620,96.990,3.010,2.68,224,0.875,bicubic
vgg11,87.340,12.660,97.110,2.890,132.86,224,0.875,bilinear
dla60x_c,87.110,12.890,97.140,2.860,1.32,224,0.875,bilinear
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
3 years ago
mixer_l16_224,86.970,13.030,94.060,5.940,208.20,224,0.875,bicubic
Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).
3 years ago
tf_mobilenetv3_small_100,85.960,14.040,96.400,3.600,2.54,224,0.875,bilinear
dla46x_c,85.480,14.520,96.440,3.560,1.07,224,0.875,bilinear
dla46_c,84.660,15.340,96.200,3.800,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,84.530,15.470,95.890,4.110,2.04,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,82.670,17.330,95.000,5.000,2.04,224,0.875,bilinear