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Update results csv files
1 parent b79dfd4 commit 07fb05c

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-1301
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results/results-imagenet-a-clean.csv

Lines changed: 49 additions & 18 deletions
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results/results-imagenet-a.csv

Lines changed: 327 additions & 296 deletions
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results/results-imagenet-r-clean.csv

Lines changed: 69 additions & 38 deletions
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results/results-imagenet-r.csv

Lines changed: 330 additions & 299 deletions
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results/results-imagenet-real.csv

Lines changed: 207 additions & 176 deletions
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results/results-imagenet.csv

Lines changed: 38 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -7,12 +7,15 @@ cait_m48_448,86.484,13.516,97.754,2.246,356.46,448,1.000,bicubic
77
tf_efficientnet_b6_ns,86.452,13.548,97.882,2.118,43.04,528,0.942,bicubic
88
swin_base_patch4_window12_384,86.432,13.568,98.058,1.942,87.90,384,1.000,bicubic
99
swin_large_patch4_window7_224,86.320,13.680,97.896,2.104,196.53,224,0.900,bicubic
10+
tf_efficientnetv2_l_in21ft1k,86.304,13.696,97.978,2.022,118.52,480,1.000,bicubic
1011
dm_nfnet_f6,86.296,13.704,97.744,2.256,438.36,576,0.956,bicubic
1112
tf_efficientnet_b5_ns,86.088,13.912,97.752,2.248,30.39,456,0.934,bicubic
1213
cait_m36_384,86.054,13.946,97.730,2.270,271.22,384,1.000,bicubic
1314
dm_nfnet_f5,85.714,14.286,97.442,2.558,377.21,544,0.954,bicubic
1415
dm_nfnet_f4,85.658,14.342,97.510,2.490,316.07,512,0.951,bicubic
16+
tf_efficientnetv2_m_in21ft1k,85.588,14.412,97.752,2.248,54.14,480,1.000,bicubic
1517
dm_nfnet_f3,85.560,14.440,97.406,2.594,254.92,416,0.940,bicubic
18+
tf_efficientnetv2_l,85.490,14.510,97.372,2.628,118.52,480,1.000,bicubic
1619
cait_s36_384,85.460,14.540,97.480,2.520,68.37,384,1.000,bicubic
1720
ig_resnext101_32x48d,85.428,14.572,97.572,2.428,828.41,224,0.875,bilinear
1821
vit_deit_base_distilled_patch16_384,85.422,14.578,97.332,2.668,87.63,384,1.000,bicubic
@@ -24,12 +27,14 @@ vit_large_patch16_384,85.158,14.842,97.356,2.644,304.72,384,1.000,bicubic
2427
tf_efficientnet_b7_ap,85.120,14.880,97.252,2.748,66.35,600,0.949,bicubic
2528
ig_resnext101_32x32d,85.094,14.906,97.438,2.562,468.53,224,0.875,bilinear
2629
cait_s24_384,85.046,14.954,97.346,2.654,47.06,384,1.000,bicubic
30+
tf_efficientnetv2_m,85.044,14.956,97.278,2.722,54.14,480,1.000,bicubic
2731
resnetrs420,85.008,14.992,97.124,2.876,191.89,416,1.000,bicubic
2832
dm_nfnet_f2,84.990,15.010,97.144,2.856,193.78,352,0.920,bicubic
2933
ecaresnet269d,84.976,15.024,97.226,2.774,102.09,352,1.000,bicubic
3034
vit_base_r50_s16_384,84.972,15.028,97.288,2.712,98.95,384,1.000,bicubic
3135
tf_efficientnet_b7,84.936,15.064,97.204,2.796,66.35,600,0.949,bicubic
3236
resnetv2_152x4_bitm,84.932,15.068,97.436,2.564,936.53,480,1.000,bilinear
37+
efficientnetv2_rw_m,84.808,15.192,97.148,2.852,53.24,416,1.000,bicubic
3338
tf_efficientnet_b6_ap,84.788,15.212,97.138,2.862,43.04,528,0.942,bicubic
3439
resnetrs350,84.720,15.280,96.988,3.012,163.96,384,1.000,bicubic
3540
dm_nfnet_f1,84.604,15.396,97.068,2.932,132.63,320,0.910,bicubic
@@ -38,6 +43,7 @@ resnetv2_152x2_bitm,84.440,15.560,97.446,2.554,236.34,480,1.000,bilinear
3843
resnetrs270,84.434,15.566,96.970,3.030,129.86,352,1.000,bicubic
3944
resnetv2_101x3_bitm,84.394,15.606,97.362,2.638,387.93,480,1.000,bilinear
4045
seresnet152d,84.362,15.638,97.040,2.960,66.84,320,1.000,bicubic
46+
tf_efficientnetv2_s_in21ft1k,84.302,15.698,97.252,2.748,21.46,384,1.000,bicubic
4147
swsl_resnext101_32x8d,84.284,15.716,97.176,2.824,88.79,224,0.875,bilinear
4248
vit_base_patch16_224_miil,84.268,15.732,96.802,3.198,86.54,224,0.875,bilinear
4349
tf_efficientnet_b5_ap,84.252,15.748,96.974,3.026,30.39,456,0.934,bicubic
@@ -50,13 +56,15 @@ cait_xs24_384,84.062,15.938,96.888,3.112,26.67,384,1.000,bicubic
5056
tf_efficientnet_b3_ns,84.048,15.952,96.910,3.090,12.23,300,0.904,bicubic
5157
eca_nfnet_l1,84.008,15.992,97.028,2.972,41.41,320,1.000,bicubic
5258
resnet200d,83.962,16.038,96.824,3.176,64.69,320,1.000,bicubic
59+
tf_efficientnetv2_s,83.894,16.106,96.698,3.302,21.46,384,1.000,bicubic
5360
resnest200e,83.832,16.168,96.894,3.106,70.20,320,0.909,bicubic
5461
tf_efficientnet_b5,83.812,16.188,96.748,3.252,30.39,456,0.934,bicubic
55-
efficientnet_v2s,83.808,16.192,96.724,3.276,23.94,384,1.000,bicubic
62+
efficientnetv2_rw_s,83.808,16.192,96.724,3.276,23.94,384,1.000,bicubic
5663
resnetv2_50x3_bitm,83.784,16.216,97.106,2.894,217.32,480,1.000,bilinear
5764
resnetrs152,83.712,16.288,96.614,3.386,86.62,320,1.000,bicubic
5865
regnety_160,83.686,16.314,96.776,3.224,83.59,288,1.000,bicubic
5966
resnet152d,83.680,16.320,96.738,3.262,60.21,320,1.000,bicubic
67+
twins_svt_large,83.678,16.322,96.594,3.406,99.27,224,0.900,bicubic
6068
cait_s24_224,83.452,16.548,96.564,3.436,46.92,224,1.000,bicubic
6169
efficientnet_b4,83.428,16.572,96.596,3.404,19.34,384,1.000,bicubic
6270
vit_deit_base_distilled_patch16_224,83.388,16.612,96.488,3.512,87.34,224,0.900,bicubic
@@ -65,6 +73,8 @@ dm_nfnet_f0,83.342,16.658,96.560,3.440,71.49,256,0.900,bicubic
6573
tf_efficientnet_b4_ap,83.248,16.752,96.392,3.608,19.34,380,0.922,bicubic
6674
swsl_resnext101_32x4d,83.230,16.770,96.760,3.240,44.18,224,0.875,bilinear
6775
swin_small_patch4_window7_224,83.212,16.788,96.322,3.678,49.61,224,0.900,bicubic
76+
twins_pcpvt_large,83.140,16.860,96.598,3.402,60.99,224,0.900,bicubic
77+
twins_svt_base,83.136,16.864,96.418,3.582,56.07,224,0.900,bicubic
6878
vit_deit_base_patch16_384,83.106,16.894,96.372,3.628,86.86,384,1.000,bicubic
6979
tresnet_m,83.080,16.920,96.118,3.882,31.39,224,0.875,bilinear
7080
vit_large_patch16_224,83.062,16.938,96.438,3.562,304.33,224,0.900,bicubic
@@ -75,46 +85,59 @@ resnest101e,82.890,17.110,96.320,3.680,48.28,256,0.875,bilinear
7585
pnasnet5large,82.782,17.218,96.040,3.960,86.06,331,0.911,bicubic
7686
nfnet_l0,82.760,17.240,96.498,3.502,35.07,288,1.000,bicubic
7787
regnety_032,82.724,17.276,96.424,3.576,19.44,288,1.000,bicubic
88+
twins_pcpvt_base,82.708,17.292,96.346,3.654,43.83,224,0.900,bicubic
7889
ig_resnext101_32x8d,82.688,17.312,96.636,3.364,88.79,224,0.875,bilinear
7990
nasnetalarge,82.620,17.380,96.046,3.954,88.75,331,0.911,bicubic
8091
eca_nfnet_l0,82.588,17.412,96.474,3.526,24.14,288,1.000,bicubic
92+
levit_384,82.586,17.414,96.016,3.984,39.13,224,0.900,bicubic
8193
pit_b_224,82.446,17.554,95.710,4.290,73.76,224,0.900,bicubic
8294
tf_efficientnet_b2_ns,82.380,17.620,96.248,3.752,9.11,260,0.890,bicubic
95+
resnet51q,82.360,17.640,96.180,3.820,35.70,288,1.000,bilinear
8396
ecaresnet50t,82.346,17.654,96.138,3.862,25.57,320,0.950,bicubic
97+
coat_lite_small,82.308,17.692,95.850,4.150,19.84,224,0.900,bicubic
98+
mixer_b16_224_miil,82.308,17.692,95.716,4.284,59.88,224,0.875,bilinear
99+
convit_base,82.290,17.710,95.938,4.062,86.54,224,0.875,bicubic
84100
resnetrs101,82.288,17.712,96.008,3.992,63.62,288,0.940,bicubic
85101
tresnet_l_448,82.268,17.732,95.976,4.024,55.99,448,0.875,bilinear
86102
efficientnet_b3,82.242,17.758,96.114,3.886,12.23,320,1.000,bicubic
87103
resnetv2_101x1_bitm,82.212,17.788,96.472,3.528,44.54,480,1.000,bilinear
88104
cait_xxs36_384,82.194,17.806,96.148,3.852,17.37,384,1.000,bicubic
89105
swsl_resnext50_32x4d,82.182,17.818,96.230,3.770,25.03,224,0.875,bilinear
90106
ecaresnet101d,82.172,17.828,96.046,3.954,44.57,224,0.875,bicubic
107+
visformer_small,82.106,17.894,95.872,4.128,40.22,224,0.900,bicubic
91108
tresnet_xl,82.054,17.946,95.936,4.064,78.44,224,0.875,bilinear
92109
vit_deit_base_patch16_224,81.998,18.002,95.734,4.266,86.57,224,0.900,bicubic
93110
pit_s_distilled_224,81.996,18.004,95.798,4.202,24.04,224,0.900,bicubic
111+
tf_efficientnetv2_b3,81.970,18.030,95.782,4.218,14.36,300,0.904,bicubic
94112
ssl_resnext101_32x16d,81.844,18.156,96.096,3.904,194.03,224,0.875,bilinear
95113
tf_efficientnet_b3_ap,81.822,18.178,95.624,4.376,12.23,300,0.904,bicubic
96114
vit_base_patch16_224,81.786,18.214,96.122,3.878,86.57,224,0.900,bicubic
97115
tresnet_m_448,81.714,18.286,95.572,4.428,31.39,448,0.875,bilinear
116+
twins_svt_small,81.682,18.318,95.670,4.330,24.06,224,0.900,bicubic
98117
vit_base_patch32_384,81.652,18.348,96.128,3.872,88.30,384,1.000,bicubic
99118
tf_efficientnet_b3,81.636,18.364,95.718,4.282,12.23,300,0.904,bicubic
100119
rexnet_200,81.632,18.368,95.668,4.332,16.37,224,0.875,bicubic
101120
ssl_resnext101_32x8d,81.616,18.384,96.038,3.962,88.79,224,0.875,bilinear
102121
tf_efficientnet_lite4,81.536,18.464,95.668,4.332,13.01,380,0.920,bilinear
103122
tnt_s_patch16_224,81.518,18.482,95.748,4.252,23.76,224,0.900,bicubic
123+
levit_256,81.510,18.490,95.490,4.510,18.89,224,0.900,bicubic
104124
vit_large_patch32_384,81.506,18.494,96.092,3.908,306.63,384,1.000,bicubic
105125
tresnet_l,81.490,18.510,95.624,4.376,55.99,224,0.875,bilinear
106126
wide_resnet50_2,81.456,18.544,95.532,4.468,68.88,224,0.875,bicubic
127+
convit_small,81.426,18.574,95.744,4.256,27.78,224,0.875,bicubic
107128
tf_efficientnet_b1_ns,81.388,18.612,95.738,4.262,7.79,240,0.882,bicubic
108129
swin_tiny_patch4_window7_224,81.378,18.622,95.540,4.460,28.29,224,0.900,bicubic
109130
gernet_l,81.354,18.646,95.536,4.464,31.08,256,0.875,bilinear
110131
efficientnet_el,81.316,18.684,95.526,4.474,10.59,300,0.904,bicubic
111132
legacy_senet154,81.310,18.690,95.496,4.504,115.09,224,0.875,bilinear
133+
coat_mini,81.268,18.732,95.392,4.608,10.34,224,0.900,bicubic
112134
seresnext50_32x4d,81.266,18.734,95.620,4.380,27.56,224,0.875,bicubic
113135
gluon_senet154,81.234,18.766,95.348,4.652,115.09,224,0.875,bicubic
114136
vit_deit_small_distilled_patch16_224,81.200,18.800,95.378,4.622,22.44,224,0.900,bicubic
115137
swsl_resnet50,81.166,18.834,95.972,4.028,25.56,224,0.875,bilinear
116138
resnest50d_4s2x40d,81.108,18.892,95.558,4.442,30.42,224,0.875,bicubic
117139
pit_s_224,81.094,18.906,95.332,4.668,23.46,224,0.900,bicubic
140+
twins_pcpvt_small,81.088,18.912,95.642,4.358,24.11,224,0.900,bicubic
118141
gluon_resnet152_v1s,81.016,18.984,95.412,4.588,60.32,224,0.875,bicubic
119142
resnest50d_1s4x24d,80.988,19.012,95.322,4.678,25.68,224,0.875,bicubic
120143
resnest50d,80.974,19.026,95.378,4.622,27.48,224,0.875,bilinear
@@ -148,7 +171,8 @@ seresnet50,80.274,19.726,95.070,4.930,28.09,224,0.875,bicubic
148171
tf_efficientnet_el,80.250,19.750,95.128,4.872,10.59,300,0.904,bicubic
149172
regnetx_320,80.246,19.754,95.026,4.974,107.81,224,0.875,bicubic
150173
legacy_seresnext101_32x4d,80.228,19.772,95.018,4.982,48.96,224,0.875,bilinear
151-
repvgg_b3g4,80.212,19.788,95.110,4.890,83.83,224,0.875,bilinear
174+
repvgg_b3g4,80.214,19.786,95.110,4.890,83.83,224,0.875,bilinear
175+
tf_efficientnetv2_b2,80.208,19.792,95.042,4.958,10.10,260,0.890,bicubic
152176
resnetv2_50x1_bitm,80.172,19.828,95.626,4.374,25.55,480,1.000,bilinear
153177
inception_v4,80.168,19.832,94.968,5.032,42.68,299,0.875,bicubic
154178
dpn107,80.156,19.844,94.910,5.090,86.92,224,0.875,bicubic
@@ -167,6 +191,7 @@ xception71,79.874,20.126,94.922,5.078,42.34,299,0.903,bicubic
167191
regnetx_160,79.856,20.144,94.830,5.170,54.28,224,0.875,bicubic
168192
vit_deit_small_patch16_224,79.856,20.144,95.052,4.948,22.05,224,0.900,bicubic
169193
ecaresnet26t,79.854,20.146,95.084,4.916,16.01,320,0.950,bicubic
194+
levit_192,79.842,20.158,94.786,5.214,10.95,224,0.900,bicubic
170195
dpn131,79.822,20.178,94.710,5.290,79.25,224,0.875,bicubic
171196
tf_efficientnet_lite3,79.820,20.180,94.914,5.086,8.20,300,0.904,bilinear
172197
resnext50_32x4d,79.768,20.232,94.598,5.402,25.03,224,0.875,bicubic
@@ -183,6 +208,7 @@ xception65,79.552,20.448,94.654,5.346,39.92,299,0.903,bicubic
183208
gluon_resnet101_v1c,79.534,20.466,94.578,5.422,44.57,224,0.875,bicubic
184209
rexnet_130,79.500,20.500,94.682,5.318,7.56,224,0.875,bicubic
185210
hrnet_w64,79.474,20.526,94.652,5.348,128.06,224,0.875,bilinear
211+
tf_efficientnetv2_b1,79.462,20.538,94.722,5.278,8.14,240,0.882,bicubic
186212
dla102x2,79.448,20.552,94.640,5.360,41.28,224,0.875,bilinear
187213
repvgg_b2g4,79.366,20.634,94.688,5.312,61.76,224,0.875,bilinear
188214
gluon_resnext50_32x4d,79.354,20.646,94.426,5.574,25.03,224,0.875,bicubic
@@ -217,22 +243,25 @@ gluon_inception_v3,78.806,21.194,94.370,5.630,23.83,299,0.875,bicubic
217243
efficientnet_b1,78.794,21.206,94.342,5.658,7.79,256,1.000,bicubic
218244
repvgg_b2,78.792,21.208,94.414,5.586,89.02,224,0.875,bilinear
219245
tf_mixnet_l,78.774,21.226,93.998,6.002,7.33,224,0.875,bicubic
220-
gluon_resnet50_v1s,78.712,21.288,94.238,5.762,25.68,224,0.875,bicubic
246+
gluon_resnet50_v1s,78.710,21.290,94.238,5.762,25.68,224,0.875,bicubic
221247
dla169,78.688,21.312,94.336,5.664,53.39,224,0.875,bilinear
222248
legacy_seresnet152,78.660,21.340,94.370,5.630,66.82,224,0.875,bilinear
223249
tf_efficientnet_b0_ns,78.658,21.342,94.376,5.624,5.29,224,0.875,bicubic
224250
res2net50_26w_6s,78.570,21.430,94.124,5.876,37.05,224,0.875,bilinear
225251
xception41,78.516,21.484,94.278,5.722,26.97,299,0.903,bicubic
226252
dla102x,78.510,21.490,94.228,5.772,26.31,224,0.875,bilinear
253+
levit_128,78.486,21.514,94.010,5.990,9.21,224,0.900,bicubic
227254
regnetx_040,78.482,21.518,94.244,5.756,22.12,224,0.875,bicubic
228255
resnest26d,78.478,21.522,94.298,5.702,17.07,224,0.875,bilinear
229256
dla60_res2net,78.464,21.536,94.206,5.794,20.85,224,0.875,bilinear
230257
hrnet_w32,78.450,21.550,94.186,5.814,41.23,224,0.875,bilinear
231258
dla60_res2next,78.440,21.560,94.152,5.848,17.03,224,0.875,bilinear
259+
coat_tiny,78.434,21.566,94.038,5.962,5.50,224,0.900,bicubic
232260
selecsls60b,78.412,21.588,94.174,5.826,32.77,224,0.875,bicubic
233261
cait_xxs24_224,78.386,21.614,94.310,5.690,11.96,224,1.000,bicubic
234262
legacy_seresnet101,78.382,21.618,94.264,5.736,49.33,224,0.875,bilinear
235263
repvgg_b1,78.366,21.634,94.098,5.902,57.42,224,0.875,bilinear
264+
tf_efficientnetv2_b0,78.356,21.644,94.024,5.976,7.14,224,0.875,bicubic
236265
tv_resnet152,78.312,21.688,94.038,5.962,60.19,224,0.875,bilinear
237266
dla60x,78.246,21.754,94.018,5.982,17.35,224,0.875,bilinear
238267
res2next50,78.246,21.754,93.892,6.108,24.67,224,0.875,bilinear
@@ -252,9 +281,9 @@ res2net50_26w_4s,77.964,22.036,93.854,6.146,25.70,224,0.875,bilinear
252281
mobilenetv3_large_100_miil,77.916,22.084,92.910,7.090,5.48,224,0.875,bilinear
253282
tf_efficientnet_cc_b0_8e,77.908,22.092,93.654,6.346,24.01,224,0.875,bicubic
254283
regnety_016,77.862,22.138,93.720,6.280,11.20,224,0.875,bicubic
255-
rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic
284+
tf_inception_v3,77.858,22.142,93.640,6.360,23.83,299,0.875,bicubic
256285
vit_small_patch16_224,77.858,22.142,93.416,6.584,48.75,224,0.900,bicubic
257-
tf_inception_v3,77.856,22.144,93.640,6.360,23.83,299,0.875,bicubic
286+
rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic
258287
hardcorenas_e,77.794,22.206,93.694,6.306,8.07,224,0.875,bilinear
259288
efficientnet_b0,77.698,22.302,93.532,6.468,5.29,224,0.875,bicubic
260289
legacy_seresnet50,77.630,22.370,93.748,6.252,28.09,224,0.875,bilinear
@@ -293,6 +322,7 @@ mixer_b16_224,76.602,23.398,92.228,7.772,59.88,224,0.875,bicubic
293322
tf_efficientnet_es,76.594,23.406,93.202,6.798,5.44,224,0.875,bicubic
294323
densenetblur121d,76.588,23.412,93.192,6.808,8.00,224,0.875,bicubic
295324
hardcorenas_b,76.538,23.462,92.754,7.246,5.18,224,0.875,bilinear
325+
levit_128s,76.530,23.470,92.866,7.134,7.78,224,0.900,bicubic
296326
mobilenetv2_140,76.516,23.484,92.996,7.004,6.11,224,0.875,bicubic
297327
repvgg_a2,76.460,23.540,93.004,6.996,28.21,224,0.875,bilinear
298328
dpn68,76.318,23.682,92.978,7.022,12.61,224,0.875,bicubic
@@ -335,13 +365,14 @@ tf_mobilenetv3_large_075,73.438,26.562,91.350,8.650,3.99,224,0.875,bilinear
335365
vgg16_bn,73.350,26.650,91.506,8.494,138.37,224,0.875,bilinear
336366
tv_resnet34,73.312,26.688,91.426,8.574,21.80,224,0.875,bilinear
337367
swsl_resnet18,73.276,26.724,91.734,8.266,11.69,224,0.875,bilinear
368+
convit_tiny,73.116,26.884,91.714,8.286,5.71,224,0.875,bicubic
338369
skresnet18,73.038,26.962,91.168,8.832,11.96,224,0.875,bicubic
339370
mobilenetv2_100,72.970,27.030,91.016,8.984,3.50,224,0.875,bicubic
340371
pit_ti_224,72.912,27.088,91.402,8.598,4.85,224,0.900,bicubic
341372
ssl_resnet18,72.610,27.390,91.416,8.584,11.69,224,0.875,bilinear
342373
regnetx_004,72.396,27.604,90.830,9.170,5.16,224,0.875,bicubic
343374
vgg19,72.368,27.632,90.872,9.128,143.67,224,0.875,bilinear
344-
hrnet_w18_small,72.342,27.658,90.678,9.322,13.19,224,0.875,bilinear
375+
hrnet_w18_small,72.344,27.656,90.678,9.322,13.19,224,0.875,bilinear
345376
resnet18d,72.260,27.740,90.696,9.304,11.71,224,0.875,bicubic
346377
tf_mobilenetv3_large_minimal_100,72.248,27.752,90.630,9.370,3.92,224,0.875,bilinear
347378
vit_deit_tiny_patch16_224,72.168,27.832,91.118,8.882,5.72,224,0.900,bicubic
@@ -360,5 +391,5 @@ tf_mobilenetv3_small_100,67.922,32.078,87.664,12.336,2.54,224,0.875,bilinear
360391
dla60x_c,67.892,32.108,88.426,11.574,1.32,224,0.875,bilinear
361392
dla46x_c,65.970,34.030,86.980,13.020,1.07,224,0.875,bilinear
362393
tf_mobilenetv3_small_075,65.716,34.284,86.130,13.870,2.04,224,0.875,bilinear
363-
dla46_c,64.866,35.134,86.292,13.708,1.30,224,0.875,bilinear
394+
dla46_c,64.864,35.136,86.292,13.708,1.30,224,0.875,bilinear
364395
tf_mobilenetv3_small_minimal_100,62.906,37.094,84.230,15.770,2.04,224,0.875,bilinear

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