Add EfficientNet pruned models to results files

pull/140/head
Ross Wightman 4 years ago
parent 375f3e5321
commit 31f4c126ec

@ -66,11 +66,13 @@ efficientnet_b2,6.0933,93.9067,21.9333,78.0667,9.11,260,0.875,bicubic
gluon_resnext101_32x4d,6.04,93.96,21.1333,78.8667,44.18,224,0.875,bicubic
gluon_resnet101_v1d,5.92,94.08,19.9467,80.0533,44.57,224,0.875,bicubic
gluon_seresnext50_32x4d,5.7867,94.2133,21.4267,78.5733,27.56,224,0.875,bicubic
efficientnet_b3_pruned,5.7333,94.2667,21.36,78.64,9.86,300,0.904,bicubic
gluon_inception_v3,5.5067,94.4933,19.9467,80.0533,23.83,299,0.875,bicubic
mixnet_xl,5.48,94.52,21.0933,78.9067,11.9,224,0.875,bicubic
tresnet_m,5.44,94.56,19.96,80.04,31.39,224,0.875,bilinear
gluon_resnet101_v1s,5.28,94.72,19.5467,80.4533,44.67,224,0.875,bicubic
hrnet_w64,5.1333,94.8667,19.4533,80.5467,128.06,224,0.875,bilinear
efficientnet_b2_pruned,4.9467,95.0533,19.3467,80.6533,8.31,260,0.89,bicubic
dpn107,4.88,95.12,17.6133,82.3867,86.92,224,0.875,bicubic
gluon_resnet152_v1c,4.8667,95.1333,17.7733,82.2267,60.21,224,0.875,bicubic
adv_inception_v3,4.7467,95.2533,17.5467,82.4533,23.83,299,0.875,bicubic
@ -116,6 +118,7 @@ seresnet101,3.2533,96.7467,15.4533,84.5467,49.33,224,0.875,bilinear
dla60_res2next,3.04,96.96,14.4533,85.5467,17.33,224,0.875,bilinear
gluon_resnet50_v1d,3.0133,96.9867,14.6267,85.3733,25.58,224,0.875,bicubic
wide_resnet101_2,2.96,97.04,13.9467,86.0533,126.89,224,0.875,bilinear
efficientnet_b1_pruned,2.9333,97.0667,14.4133,85.5867,6.33,240,0.882,bicubic
gluon_resnet50_v1s,2.92,97.08,13.12,86.88,25.68,224,0.875,bicubic
tf_efficientnet_b1,2.8667,97.1333,13.5067,86.4933,7.79,240,0.882,bicubic
res2net50_26w_6s,2.84,97.16,12.6,87.4,37.05,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
66 gluon_resnext101_32x4d 6.04 93.96 21.1333 78.8667 44.18 224 0.875 bicubic
67 gluon_resnet101_v1d 5.92 94.08 19.9467 80.0533 44.57 224 0.875 bicubic
68 gluon_seresnext50_32x4d 5.7867 94.2133 21.4267 78.5733 27.56 224 0.875 bicubic
69 efficientnet_b3_pruned 5.7333 94.2667 21.36 78.64 9.86 300 0.904 bicubic
70 gluon_inception_v3 5.5067 94.4933 19.9467 80.0533 23.83 299 0.875 bicubic
71 mixnet_xl 5.48 94.52 21.0933 78.9067 11.9 224 0.875 bicubic
72 tresnet_m 5.44 94.56 19.96 80.04 31.39 224 0.875 bilinear
73 gluon_resnet101_v1s 5.28 94.72 19.5467 80.4533 44.67 224 0.875 bicubic
74 hrnet_w64 5.1333 94.8667 19.4533 80.5467 128.06 224 0.875 bilinear
75 efficientnet_b2_pruned 4.9467 95.0533 19.3467 80.6533 8.31 260 0.89 bicubic
76 dpn107 4.88 95.12 17.6133 82.3867 86.92 224 0.875 bicubic
77 gluon_resnet152_v1c 4.8667 95.1333 17.7733 82.2267 60.21 224 0.875 bicubic
78 adv_inception_v3 4.7467 95.2533 17.5467 82.4533 23.83 299 0.875 bicubic
118 dla60_res2next 3.04 96.96 14.4533 85.5467 17.33 224 0.875 bilinear
119 gluon_resnet50_v1d 3.0133 96.9867 14.6267 85.3733 25.58 224 0.875 bicubic
120 wide_resnet101_2 2.96 97.04 13.9467 86.0533 126.89 224 0.875 bilinear
121 efficientnet_b1_pruned 2.9333 97.0667 14.4133 85.5867 6.33 240 0.882 bicubic
122 gluon_resnet50_v1s 2.92 97.08 13.12 86.88 25.68 224 0.875 bicubic
123 tf_efficientnet_b1 2.8667 97.1333 13.5067 86.4933 7.79 240 0.882 bicubic
124 res2net50_26w_6s 2.84 97.16 12.6 87.4 37.05 224 0.875 bilinear

@ -48,6 +48,7 @@ gluon_resnet152_v1s,81.012,18.988,95.416,4.584,60.32,224,0.875,bicubic
ssl_resnext101_32x4d,80.928,19.072,95.728,4.272,44.18,224,0.875,bilinear
gluon_seresnext101_32x4d,80.902,19.098,95.294,4.706,48.96,224,0.875,bicubic
gluon_seresnext101_64x4d,80.89,19.11,95.304,4.696,88.23,224,0.875,bicubic
efficientnet_b3_pruned,80.856,19.144,95.24,4.76,9.86,300,0.904,bicubic
ecaresnet101d_pruned,80.808,19.192,95.628,4.372,24.88,224,0.875,bicubic
tresnet_m,80.796,19.204,94.856,5.144,31.39,224,0.875,bilinear
efficientnet_b2a,80.608,19.392,95.31,4.69,9.11,288,1,bicubic
@ -71,6 +72,7 @@ skresnext50_32x4d,80.15,19.85,94.644,5.356,27.48,224,0.875,bicubic
tf_efficientnet_b2,80.09,19.91,94.906,5.094,9.11,260,0.89,bicubic
dpn92,80.016,19.984,94.838,5.162,37.67,224,0.875,bicubic
ens_adv_inception_resnet_v2,79.976,20.024,94.946,5.054,55.84,299,0.8975,bicubic
efficientnet_b2_pruned,79.918,20.082,94.848,5.152,8.31,260,0.89,bicubic
gluon_resnet152_v1c,79.916,20.084,94.842,5.158,60.21,224,0.875,bicubic
gluon_seresnext50_32x4d,79.912,20.088,94.818,5.182,27.56,224,0.875,bicubic
dpn131,79.828,20.172,94.704,5.296,79.25,224,0.875,bicubic
@ -120,6 +122,7 @@ hrnet_w32,78.448,21.552,94.188,5.812,41.23,224,0.875,bilinear
selecsls60b,78.418,21.582,94.166,5.834,32.77,224,0.875,bicubic
seresnet101,78.396,21.604,94.258,5.742,49.33,224,0.875,bilinear
resnet152,78.312,21.688,94.046,5.954,60.19,224,0.875,bilinear
efficientnet_b1_pruned,78.242,21.758,93.832,6.168,6.33,240,0.882,bicubic
dla60x,78.242,21.758,94.022,5.978,17.65,224,0.875,bilinear
res2next50,78.242,21.758,93.892,6.108,24.67,224,0.875,bilinear
hrnet_w30,78.196,21.804,94.218,5.782,37.71,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
48 ssl_resnext101_32x4d 80.928 19.072 95.728 4.272 44.18 224 0.875 bilinear
49 gluon_seresnext101_32x4d 80.902 19.098 95.294 4.706 48.96 224 0.875 bicubic
50 gluon_seresnext101_64x4d 80.89 19.11 95.304 4.696 88.23 224 0.875 bicubic
51 efficientnet_b3_pruned 80.856 19.144 95.24 4.76 9.86 300 0.904 bicubic
52 ecaresnet101d_pruned 80.808 19.192 95.628 4.372 24.88 224 0.875 bicubic
53 tresnet_m 80.796 19.204 94.856 5.144 31.39 224 0.875 bilinear
54 efficientnet_b2a 80.608 19.392 95.31 4.69 9.11 288 1 bicubic
72 tf_efficientnet_b2 80.09 19.91 94.906 5.094 9.11 260 0.89 bicubic
73 dpn92 80.016 19.984 94.838 5.162 37.67 224 0.875 bicubic
74 ens_adv_inception_resnet_v2 79.976 20.024 94.946 5.054 55.84 299 0.8975 bicubic
75 efficientnet_b2_pruned 79.918 20.082 94.848 5.152 8.31 260 0.89 bicubic
76 gluon_resnet152_v1c 79.916 20.084 94.842 5.158 60.21 224 0.875 bicubic
77 gluon_seresnext50_32x4d 79.912 20.088 94.818 5.182 27.56 224 0.875 bicubic
78 dpn131 79.828 20.172 94.704 5.296 79.25 224 0.875 bicubic
122 selecsls60b 78.418 21.582 94.166 5.834 32.77 224 0.875 bicubic
123 seresnet101 78.396 21.604 94.258 5.742 49.33 224 0.875 bilinear
124 resnet152 78.312 21.688 94.046 5.954 60.19 224 0.875 bilinear
125 efficientnet_b1_pruned 78.242 21.758 93.832 6.168 6.33 240 0.882 bicubic
126 dla60x 78.242 21.758 94.022 5.978 17.65 224 0.875 bilinear
127 res2next50 78.242 21.758 93.892 6.108 24.67 224 0.875 bilinear
128 hrnet_w30 78.196 21.804 94.218 5.782 37.71 224 0.875 bilinear

@ -55,6 +55,7 @@ ecaresnet50d,69.83,30.17,89.37,10.63,25.58,224,0.875,bicubic
gluon_resnext101_64x4d,69.69,30.31,88.26,11.74,83.46,224,0.875,bicubic
ssl_resnext50_32x4d,69.69,30.31,89.42,10.58,25.03,224,0.875,bilinear
tresnet_m,69.65,30.35,88,12,31.39,224,0.875,bilinear
efficientnet_b3_pruned,69.58,30.42,88.97,11.03,9.86,300,0.904,bicubic
ens_adv_inception_resnet_v2,69.52,30.48,88.5,11.5,55.84,299,0.8975,bicubic
efficientnet_b2a,69.49,30.51,88.68,11.32,9.11,288,1,bicubic
inception_v4,69.35,30.65,88.78,11.22,42.68,299,0.875,bicubic
@ -81,6 +82,7 @@ ssl_resnet50,68.42,31.58,88.58,11.42,25.56,224,0.875,bilinear
ecaresnet50d_pruned,68.39,31.61,88.37,11.63,19.94,224,0.875,bicubic
skresnext50_32x4d,68.39,31.61,87.59,12.41,27.48,224,0.875,bicubic
dla102x2,68.34,31.66,87.87,12.13,41.75,224,0.875,bilinear
efficientnet_b2_pruned,68.3,31.7,88.1,11.9,8.31,260,0.89,bicubic
gluon_resnext50_32x4d,68.28,31.72,87.32,12.68,25.03,224,0.875,bicubic
tf_efficientnet_lite3,68.23,31.77,87.72,12.28,8.2,300,0.904,bilinear
tf_efficientnet_el,68.18,31.82,88.35,11.65,10.59,300,0.904,bicubic
@ -134,6 +136,7 @@ tf_efficientnet_cc_b0_8e,66.21,33.79,86.22,13.78,24.01,224,0.875,bicubic
tv_resnext50_32x4d,66.18,33.82,86.04,13.96,25.03,224,0.875,bilinear
res2net50_26w_4s,66.17,33.83,86.6,13.4,25.7,224,0.875,bilinear
inception_v3,66.12,33.88,86.34,13.66,27.16,299,0.875,bicubic
efficientnet_b1_pruned,66.08,33.92,86.58,13.42,6.33,240,0.882,bicubic
gluon_resnet50_v1b,66.04,33.96,86.27,13.73,25.56,224,0.875,bicubic
res2net50_14w_8s,66.02,33.98,86.24,13.76,25.06,224,0.875,bilinear
densenet161,65.85,34.15,86.46,13.54,28.68,224,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
55 gluon_resnext101_64x4d 69.69 30.31 88.26 11.74 83.46 224 0.875 bicubic
56 ssl_resnext50_32x4d 69.69 30.31 89.42 10.58 25.03 224 0.875 bilinear
57 tresnet_m 69.65 30.35 88 12 31.39 224 0.875 bilinear
58 efficientnet_b3_pruned 69.58 30.42 88.97 11.03 9.86 300 0.904 bicubic
59 ens_adv_inception_resnet_v2 69.52 30.48 88.5 11.5 55.84 299 0.8975 bicubic
60 efficientnet_b2a 69.49 30.51 88.68 11.32 9.11 288 1 bicubic
61 inception_v4 69.35 30.65 88.78 11.22 42.68 299 0.875 bicubic
82 ecaresnet50d_pruned 68.39 31.61 88.37 11.63 19.94 224 0.875 bicubic
83 skresnext50_32x4d 68.39 31.61 87.59 12.41 27.48 224 0.875 bicubic
84 dla102x2 68.34 31.66 87.87 12.13 41.75 224 0.875 bilinear
85 efficientnet_b2_pruned 68.3 31.7 88.1 11.9 8.31 260 0.89 bicubic
86 gluon_resnext50_32x4d 68.28 31.72 87.32 12.68 25.03 224 0.875 bicubic
87 tf_efficientnet_lite3 68.23 31.77 87.72 12.28 8.2 300 0.904 bilinear
88 tf_efficientnet_el 68.18 31.82 88.35 11.65 10.59 300 0.904 bicubic
136 tv_resnext50_32x4d 66.18 33.82 86.04 13.96 25.03 224 0.875 bilinear
137 res2net50_26w_4s 66.17 33.83 86.6 13.4 25.7 224 0.875 bilinear
138 inception_v3 66.12 33.88 86.34 13.66 27.16 299 0.875 bicubic
139 efficientnet_b1_pruned 66.08 33.92 86.58 13.42 6.33 240 0.882 bicubic
140 gluon_resnet50_v1b 66.04 33.96 86.27 13.73 25.56 224 0.875 bicubic
141 res2net50_14w_8s 66.02 33.98 86.24 13.76 25.06 224 0.875 bilinear
142 densenet161 65.85 34.15 86.46 13.54 28.68 224 0.875 bicubic

@ -32,6 +32,7 @@ tf_efficientnet_b1_ns,34.1528,65.8472,55.4894,44.5106,7.79,240,0.882,bicubic
tf_efficientnet_b4,34.0624,65.9376,54.216,45.784,19.34,380,0.922,bicubic
ssl_resnext101_32x8d,34.0211,65.9789,55.5935,44.4065,88.79,224,0.875,bilinear
tf_efficientnet_b6,34.0054,65.9946,54.5403,45.4597,43.04,528,0.942,bicubic
efficientnet_b3_pruned,33.9956,66.0044,54.1099,45.8901,9.86,300,0.904,bicubic
tresnet_xl,33.2587,66.7413,52.2962,47.7038,78.44,224,0.875,bilinear
tf_efficientnet_b3,32.8637,67.1363,52.9623,47.0377,12.23,300,0.904,bicubic
inception_resnet_v2,32.736,67.264,50.6396,49.3604,55.84,299,0.8975,bicubic
@ -96,6 +97,7 @@ skresnet34,28.629,71.371,47.9573,52.0427,22.28,224,0.875,bicubic
resnet152,28.5347,71.4653,47.1143,52.8857,60.19,224,0.875,bilinear
hrnet_w48,28.4069,71.5931,47.5741,52.4259,77.47,224,0.875,bilinear
gluon_resnext50_32x4d,28.3833,71.6167,45.3261,54.6739,25.03,224,0.875,bicubic
efficientnet_b2_pruned,28.3657,71.6343,47.0593,52.9407,8.31,260,0.89,bicubic
tf_efficientnet_b0_ap,28.3499,71.6501,47.5309,52.4691,5.29,224,0.875,bicubic
dla102x2,28.3185,71.6815,46.7567,53.2433,41.75,224,0.875,bilinear
dla169,28.3106,71.6894,47.3992,52.6008,53.99,224,0.875,bilinear
@ -114,6 +116,7 @@ hrnet_w30,27.3851,72.6149,46.5425,53.4575,37.71,224,0.875,bilinear
hrnet_w32,27.3772,72.6228,45.9903,54.0097,41.23,224,0.875,bilinear
gluon_resnet50_v1s,27.3281,72.6719,45.2141,54.7859,25.68,224,0.875,bicubic
densenet201,27.2613,72.7387,46.2241,53.7759,20.01,224,0.875,bicubic
efficientnet_b1_pruned,27.1945,72.8055,45.8724,54.1276,6.33,240,0.882,bicubic
res2net50_26w_8s,27.0726,72.9274,44.432,55.568,48.4,224,0.875,bilinear
dla102x,27.0235,72.9765,45.4951,54.5049,26.77,224,0.875,bilinear
resnet101,26.9685,73.0315,45.2357,54.7643,44.55,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
32 tf_efficientnet_b4 34.0624 65.9376 54.216 45.784 19.34 380 0.922 bicubic
33 ssl_resnext101_32x8d 34.0211 65.9789 55.5935 44.4065 88.79 224 0.875 bilinear
34 tf_efficientnet_b6 34.0054 65.9946 54.5403 45.4597 43.04 528 0.942 bicubic
35 efficientnet_b3_pruned 33.9956 66.0044 54.1099 45.8901 9.86 300 0.904 bicubic
36 tresnet_xl 33.2587 66.7413 52.2962 47.7038 78.44 224 0.875 bilinear
37 tf_efficientnet_b3 32.8637 67.1363 52.9623 47.0377 12.23 300 0.904 bicubic
38 inception_resnet_v2 32.736 67.264 50.6396 49.3604 55.84 299 0.8975 bicubic
97 resnet152 28.5347 71.4653 47.1143 52.8857 60.19 224 0.875 bilinear
98 hrnet_w48 28.4069 71.5931 47.5741 52.4259 77.47 224 0.875 bilinear
99 gluon_resnext50_32x4d 28.3833 71.6167 45.3261 54.6739 25.03 224 0.875 bicubic
100 efficientnet_b2_pruned 28.3657 71.6343 47.0593 52.9407 8.31 260 0.89 bicubic
101 tf_efficientnet_b0_ap 28.3499 71.6501 47.5309 52.4691 5.29 224 0.875 bicubic
102 dla102x2 28.3185 71.6815 46.7567 53.2433 41.75 224 0.875 bilinear
103 dla169 28.3106 71.6894 47.3992 52.6008 53.99 224 0.875 bilinear
116 hrnet_w32 27.3772 72.6228 45.9903 54.0097 41.23 224 0.875 bilinear
117 gluon_resnet50_v1s 27.3281 72.6719 45.2141 54.7859 25.68 224 0.875 bicubic
118 densenet201 27.2613 72.7387 46.2241 53.7759 20.01 224 0.875 bicubic
119 efficientnet_b1_pruned 27.1945 72.8055 45.8724 54.1276 6.33 240 0.882 bicubic
120 res2net50_26w_8s 27.0726 72.9274 44.432 55.568 48.4 224 0.875 bilinear
121 dla102x 27.0235 72.9765 45.4951 54.5049 26.77 224 0.875 bilinear
122 resnet101 26.9685 73.0315 45.2357 54.7643 44.55 224 0.875 bilinear
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