深度学习中所有网络结构
网址：
https://github.com/osmr/imgclsmob/tree/master/pytorch
大网络：DLA-X-60
小网络：ProxylessNAS GPU batch_size 60 ，ProxylessNAS Mobile Mobile更占资源 batch_size 50
https://github.com/osmr/imgclsmob
| Model | Top1 | Top5 | Params | FLOPs/2 | Remarks |
|---|---|---|---|---|---|
| AlexNet | 43.48 | 20.93 | 61,100,840 | 714.83M | From dmlc/gluon-cv (log) |
| VGG-11 | 30.98 | 11.37 | 132,863,336 | 7,615.87M | From dmlc/gluon-cv (log) |
| VGG-13 | 30.07 | 10.75 | 133,047,848 | 11,317.65M | From dmlc/gluon-cv (log) |
| VGG-16 | 27.15 | 8.92 | 138,357,544 | 15,480.10M | From dmlc/gluon-cv (log) |
| VGG-19 | 26.19 | 8.39 | 143,667,240 | 19,642.55M | From dmlc/gluon-cv (log) |
| BN-VGG-11 | 29.01 | 9.61 | 132,866,088 | 7,630.21M | Converted from GL model (log) |
| BN-VGG-13 | 27.83 | 9.13 | 133,050,792 | 11,341.62M | Converted from GL model (log) |
| BN-VGG-16 | 25.72 | 7.79 | 138,361,768 | 15,506.38M | Converted from GL model (log) |
| BN-VGG-19 | 24.13 | 7.12 | 143,672,744 | 19,671.15M | Converted from GL model (log) |
| BN-VGG-11b | 29.63 | 10.19 | 132,868,840 | 7,630.72M | From dmlc/gluon-cv (log) |
| BN-VGG-13b | 28.41 | 9.63 | 133,053,736 | 11,342.14M | From dmlc/gluon-cv (log) |
| BN-VGG-16b | 27.19 | 8.74 | 138,365,992 | 15,507.20M | From dmlc/gluon-cv (log) |
| BN-VGG-19b | 26.06 | 8.40 | 143,678,248 | 19,672.26M | From dmlc/gluon-cv (log) |
| BN-Inception | 25.39 | 8.04 | 11,295,240 | 2,048.06M | From Cadene/pretrained...pytorch (log) |
| ResNet-10 | 34.69 | 14.36 | 5,418,792 | 894.04M | Converted from GL model (log) |
| ResNet-12 | 33.62 | 13.28 | 5,492,776 | 1,126.25M | Converted from GL model (log) |
| ResNet-14 | 32.45 | 12.46 | 5,788,200 | 1,357.94M | Converted from GL model (log) |
| ResNet-BC-14b | 30.66 | 11.51 | 10,064,936 | 1,479.12M | Converted from GL model (log) |
| ResNet-16 | 30.49 | 11.18 | 6,968,872 | 1,589.34M | Converted from GL model (log) |
| ResNet-18 x0.25 | 39.62 | 17.85 | 3,937,400 | 270.94M | Converted from GL model (log) |
| ResNet-18 x0.5 | 33.80 | 13.27 | 5,804,296 | 608.70M | Converted from GL model (log) |
| ResNet-18 x0.75 | 30.40 | 11.06 | 8,476,056 | 1,129.45M | Converted from GL model (log) |
| ResNet-18 | 28.53 | 9.82 | 11,689,512 | 1,820.41M | Converted from GL model (log) |
| ResNet-26 | 26.30 | 8.54 | 17,960,232 | 2,746.79M | Converted from GL model (log) |
| ResNet-BC-26b | 25.09 | 7.97 | 15,995,176 | 2,356.67M | Converted from GL model (log) |
| ResNet-34 | 24.84 | 7.80 | 21,797,672 | 3,672.68M | Converted from GL model (log) |
| ResNet-BC-38b | 23.69 | 7.00 | 21,925,416 | 3,234.21M | Converted from GL model (log) |
| ResNet-50 | 22.28 | 6.33 | 25,557,032 | 3,877.95M | Converted from GL model (log) |
| ResNet-50b | 22.39 | 6.38 | 25,557,032 | 4,110.48M | Converted from GL model (log) |
| ResNet-101 | 21.90 | 6.22 | 44,549,160 | 7,597.95M | From dmlc/gluon-cv (log) |
| ResNet-101b | 20.59 | 5.30 | 44,549,160 | 7,830.48M | Converted from GL model (log) |
| ResNet-152 | 21.01 | 5.50 | 60,192,808 | 11,321.85M | From dmlc/gluon-cv (log) |
| ResNet-152b | 20.56 | 5.34 | 60,192,808 | 11,554.38M | From dmlc/gluon-cv (log) |
| PreResNet-10 | 35.11 | 14.21 | 5,417,128 | 894.19M | Converted from GL model (log) |
| PreResNet-12 | 33.86 | 13.48 | 5,491,112 | 1,126.40M | Converted from GL model (log) |
| PreResNet-14 | 32.64 | 12.39 | 5,786,536 | 1,358.09M | Converted from GL model (log) |
| PreResNet-BC-14b | 31.29 | 11.81 | 10,057,384 | 1,476.62M | Converted from GL model (log) |
| PreResNet-16 | 30.53 | 11.08 | 6,967,208 | 1,589.49M | Converted from GL model (log) |
| PreResNet-18 x0.25 | 40.06 | 18.11 | 3,935,960 | 270.93M | Converted from GL model (log) |
| PreResNet-18 x0.5 | 34.00 | 13.40 | 5,802,440 | 608.73M | Converted from GL model (log) |
| PreResNet-18 x0.75 | 30.23 | 11.05 | 8,473,784 | 1,129.51M | Converted from GL model (log) |
| PreResNet-18 | 28.43 | 9.72 | 11,687,848 | 1,820.56M | Converted from GL model (log) |
| PreResNet-26 | 26.33 | 8.51 | 17,958,568 | 2,746.94M | Converted from GL model (log) |
| PreResNet-BC-26b | 25.48 | 8.03 | 15,987,624 | 2,354.16M | Converted from GL model (log) |
| PreResNet-34 | 24.89 | 7.74 | 21,796,008 | 3,672.83M | Converted from GL model (log) |
| PreResNet-BC-38b | 22.92 | 6.57 | 21,917,864 | 3,231.70M | Converted from GL model (log) |
| PreResNet-50 | 22.40 | 6.47 | 25,549,480 | 3,875.44M | Converted from GL model (log) |
| PreResNet-50b | 22.51 | 6.55 | 25,549,480 | 4,107.97M | Converted from GL model (log) |
| PreResNet-101 | 21.74 | 5.91 | 44,541,608 | 7,595.44M | From dmlc/gluon-cv (log) |
| PreResNet-101b | 21.04 | 5.56 | 44,541,608 | 7,827.97M | Converted from GL model (log) |
| PreResNet-152 | 20.94 | 5.55 | 60,185,256 | 11,319.34M | From dmlc/gluon-cv (log) |
| PreResNet-152b | 21.34 | 5.91 | 60,185,256 | 11,551.87M | From dmlc/gluon-cv (log) |
| PreResNet-200b | 21.33 | 5.88 | 64,666,280 | 15,068.63M | From tornadomeet/ResNet (log) |
| PreResNet-269b | 20.92 | 5.81 | 102,065,832 | 20,101.11M | From soeaver/mxnet-model (log) |
| ResNeXt-14 (32x4d) | 30.32 | 11.46 | 9,411,880 | 1,603.46M | Converted from GL model (log) |
| ResNeXt-26 (32x4d) | 24.14 | 7.46 | 15,389,480 | 2,488.07M | Converted from GL model (log) |
| ResNeXt-101 (32x4d) | 21.81 | 6.11 | 44,177,704 | 8,003.45M | From Cadene/pretrained...pytorch (log) |
| ResNeXt-101 (64x4d) | 21.04 | 5.75 | 83,455,272 | 15,500.27M | From Cadene/pretrained...pytorch (log) |
| SE-ResNet-10 | 33.89 | 13.66 | 5,463,332 | 894.27M | Converted from GL model (log) |
| SE-ResNet-18 | 28.18 | 9.61 | 11,778,592 | 1,820.88M | Converted from GL model (log) |
| SE-ResNet-50 | 22.47 | 6.40 | 28,088,024 | 3,880.49M | From Cadene/pretrained...pytorch (log) |
| SE-ResNet-101 | 21.88 | 5.89 | 49,326,872 | 7,602.76M | From Cadene/pretrained...pytorch (log) |
| SE-ResNet-152 | 21.48 | 5.76 | 66,821,848 | 11,328.52M | From Cadene/pretrained...pytorch (log) |
| SE-ResNeXt-50 (32x4d) | 21.00 | 5.54 | 27,559,896 | 4,258.40M | From Cadene/pretrained...pytorch (log) |
| SE-ResNeXt-101 (32x4d) | 19.96 | 5.05 | 48,955,416 | 8,008.26M | From Cadene/pretrained...pytorch (log) |
| SENet-16 | 25.65 | 8.20 | 31,366,168 | 5,081.30M | Converted from GL model (log) |
| SENet-28 | 21.94 | 5.98 | 36,453,768 | 5,732.71M | Converted from GL model (log) |
| SENet-154 | 18.62 | 4.61 | 115,088,984 | 20,745.78M | From Cadene/pretrained...pytorch (log) |
| IBN-ResNet-50 | 22.76 | 6.41 | 25,557,032 | 4,110.48M | From XingangPan/IBN-Net (log) |
| IBN-ResNet-101 | 21.29 | 5.61 | 44,549,160 | 7,830.48M | From XingangPan/IBN-Net (log) |
| IBN(b)-ResNet-50 | 23.64 | 6.86 | 25,558,568 | 4,112.89M | From XingangPan/IBN-Net (log) |
| IBN-ResNeXt-101 (32x4d) | 20.88 | 5.42 | 44,177,704 | 8,003.45M | From XingangPan/IBN-Net (log) |
| IBN-DenseNet-121 | 24.47 | 7.25 | 7,978,856 | 2,872.13M | From XingangPan/IBN-Net (log) |
| IBN-DenseNet-169 | 23.25 | 6.51 | 14,149,480 | 3,403.89M | From XingangPan/IBN-Net (log) |
| AirNet50-1x64d (r=2) | 21.84 | 5.90 | 27,425,864 | 4,772.11M | From soeaver/AirNet-PyTorch (log) |
| AirNet50-1x64d (r=16) | 22.11 | 6.19 | 25,714,952 | 4,399.97M | From soeaver/AirNet-PyTorch (log) |
| AirNeXt50-32x4d (r=2) | 20.87 | 5.51 | 27,604,296 | 5,339.58M | From soeaver/AirNet-PyTorch (log) |
| BAM-ResNet-50 | 23.14 | 6.58 | 25,915,099 | 4,196.09M | From Jongchan/attention-module (log) |
| CBAM-ResNet-50 | 22.38 | 6.05 | 28,089,624 | 4,116.97M | From Jongchan/attention-module (log) |
| PyramidNet-101 (a=360) | 21.98 | 6.20 | 42,455,070 | 8,743.54M | From dyhan0920/Pyramid...PyTorch (log) |
| DiracNetV2-18 | 31.47 | 11.70 | 11,511,784 | 1,796.62M | From szagoruyko/diracnets (log) |
| DiracNetV2-34 | 28.75 | 9.93 | 21,616,232 | 3,646.93M | From szagoruyko/diracnets (log) |
| DenseNet-121 | 23.48 | 7.04 | 7,978,856 | 2,872.13M | Converted from GL model (log) |
| DenseNet-161 | 22.86 | 6.44 | 28,681,000 | 7,793.16M | From dmlc/gluon-cv (log) |
| DenseNet-169 | 24.40 | 7.19 | 14,149,480 | 3,403.89M | From dmlc/gluon-cv (log) |
| DenseNet-201 | 23.10 | 6.63 | 20,013,928 | 4,347.15M | From dmlc/gluon-cv (log) |
| CondenseNet-74 (C=G=4) | 26.25 | 8.28 | 4,773,944 | 546.06M | From ShichenLiu/CondenseNet (log) |
| CondenseNet-74 (C=G=8) | 28.93 | 10.06 | 2,935,416 | 291.52M | From ShichenLiu/CondenseNet (log) |
| PeleeNet | 31.81 | 11.51 | 2,802,248 | 514.87M | Converted from GL model (log) |
| WRN-50-2 | 22.53 | 6.41 | 68,849,128 | 11,405.42M | From szagoruyko/functional-zoo (log) |
| DRN-C-26 | 24.86 | 7.55 | 21,126,584 | 16,993.90M | From fyu/drn (log) |
| DRN-C-42 | 22.94 | 6.57 | 31,234,744 | 25,093.75M | From fyu/drn (log) |
| DRN-C-58 | 21.73 | 6.01 | 40,542,008 | 32,489.94M | From fyu/drn (log) |
| DRN-D-22 | 25.80 | 8.23 | 16,393,752 | 13,051.33M | From fyu/drn (log) |
| DRN-D-38 | 23.79 | 6.95 | 26,501,912 | 21,151.19M | From fyu/drn (log) |
| DRN-D-54 | 21.22 | 5.86 | 35,809,176 | 28,547.38M | From fyu/drn (log) |
| DRN-D-105 | 20.62 | 5.48 | 54,801,304 | 43,442.43M | From fyu/drn (log) |
| DPN-68 | 23.24 | 6.79 | 12,611,602 | 2,351.84M | Converted from GL model (log) |
| DPN-98 | 20.81 | 5.53 | 61,570,728 | 11,716.51M | From Cadene/pretrained...pytorch (log) |
| DPN-131 | 20.54 | 5.48 | 79,254,504 | 16,076.15M | From Cadene/pretrained...pytorch (log) |
| DarkNet Tiny | 40.74 | 17.84 | 1,042,104 | 500.85M | Converted from GL model (log) |
| DarkNet Ref | 38.58 | 17.18 | 7,319,416 | 367.59M | Converted from GL model (log) |
| DarkNet-53 | 21.75 | 5.64 | 41,609,928 | 7,133.86M | From dmlc/gluon-cv (log) |
| i-RevNet-301 | 25.98 | 8.41 | 125,120,356 | 14,453.87M | From jhjacobsen/pytorch-i-revnet (log) |
| BagNet-9 | 53.61 | 29.61 | 15,688,744 | 16,049.19M | From wielandbrendel/bag...models (log) |
| BagNet-17 | 41.20 | 18.84 | 16,213,032 | 15,768.77M | From wielandbrendel/bag...models (log) |
| BagNet-33 | 33.34 | 13.01 | 18,310,184 | 16,371.52M | From wielandbrendel/bag...models (log) |
| DLA-34 | 25.36 | 7.94 | 15,742,104 | 3,071.37M | From ucbdrive/dla (log) |
| DLA-46-C | 34.28 | 13.23 | 1,301,400 | 585.45M | Converted from GL model (log) |
| DLA-X-46-C | 33.26 | 12.69 | 1,068,440 | 546.72M | Converted from GL model (log) |
| DLA-60 | 22.98 | 6.69 | 22,036,632 | 4,255.49M | From ucbdrive/dla (log) |
| DLA-X-60 | 21.76 | 5.98 | 17,352,344 | 3,543.68M | From ucbdrive/dla (log) |
| DLA-X-60-C | 30.98 | 10.91 | 1,319,832 | 596.06M | Converted from GL model (log) |
| DLA-102 | 21.97 | 6.05 | 33,268,888 | 7,190.95M | From ucbdrive/dla (log) |
| DLA-X-102 | 21.49 | 5.77 | 26,309,272 | 5,884.94M | From ucbdrive/dla (log) |
| DLA-X2-102 | 20.55 | 5.36 | 41,282,200 | 9,340.61M | From ucbdrive/dla (log) |
| DLA-169 | 21.29 | 5.66 | 53,389,720 | 11,593.20M | From ucbdrive/dla (log) |
| FishNet-150 | 21.97 | 6.04 | 24,959,400 | 6,435.05M | From kevin-ssy/FishNet (log) |
| ESPNetv2 x0.5 | 42.32 | 20.15 | 1,241,332 | 35.36M | From sacmehta/ESPNetv2 (log) |
| ESPNetv2 x1.0 | 33.92 | 13.45 | 1,670,072 | 98.09M | From sacmehta/ESPNetv2 (log) |
| ESPNetv2 x1.25 | 32.06 | 12.18 | 1,965,440 | 138.18M | From sacmehta/ESPNetv2 (log) |
| ESPNetv2 x1.5 | 30.83 | 11.29 | 2,314,856 | 185.77M | From sacmehta/ESPNetv2 (log) |
| ESPNetv2 x2.0 | 27.94 | 9.61 | 3,498,136 | 306.93M | From sacmehta/ESPNetv2 (log) |
| SqueezeNet v1.0 | 39.29 | 17.66 | 1,248,424 | 823.67M | Converted from GL model (log) |
| SqueezeNet v1.1 | 39.31 | 17.72 | 1,235,496 | 352.02M | Converted from GL model (log) |
| SqueezeResNet v1.0 | 39.77 | 18.09 | 1,248,424 | 823.67M | Converted from GL model (log) |
| SqueezeResNet v1.1 | 40.09 | 18.21 | 1,235,496 | 352.02M | Converted from GL model (log) |
| 1.0-SqNxt-23 | 42.51 | 19.06 | 724,056 | 287.28M | Converted from GL model (log) |
| 1.0-SqNxt-23v5 | 40.77 | 17.85 | 921,816 | 285.82M | Converted from GL model (log) |
| 1.5-SqNxt-23 | 34.89 | 13.50 | 1,511,824 | 552.39M | Converted from GL model (log) |
| 1.5-SqNxt-23v5 | 33.81 | 13.01 | 1,953,616 | 550.97M | Converted from GL model (log) |
| 2.0-SqNxt-23 | 30.62 | 11.00 | 2,583,752 | 898.48M | Converted from GL model (log) |
| 2.0-SqNxt-23v5 | 29.63 | 10.66 | 3,366,344 | 897.60M | Converted from GL model (log) |
| ShuffleNet x0.25 (g=1) | 62.44 | 37.29 | 209,746 | 12.35M | Converted from GL model (log) |
| ShuffleNet x0.25 (g=3) | 61.74 | 36.53 | 305,902 | 13.09M | Converted from GL model (log) |
| ShuffleNet x0.5 (g=1) | 46.59 | 22.61 | 534,484 | 41.16M | Converted from GL model (log) |
| ShuffleNet x0.5 (g=3) | 44.16 | 20.80 | 718,324 | 41.70M | Converted from GL model (log) |
| ShuffleNet x0.75 (g=1) | 39.58 | 17.11 | 975,214 | 86.42M | Converted from GL model (log) |
| ShuffleNet x0.75 (g=3) | 38.20 | 16.50 | 1,238,266 | 85.82M | Converted from GL model (log) |
| ShuffleNet x1.0 (g=1) | 34.93 | 13.89 | 1,531,936 | 148.13M | Converted from GL model (log) |
| ShuffleNet x1.0 (g=2) | 34.25 | 13.63 | 1,733,848 | 147.60M | Converted from GL model (log) |
| ShuffleNet x1.0 (g=3) | 34.39 | 13.48 | 1,865,728 | 145.46M | Converted from GL model (log) |
| ShuffleNet x1.0 (g=4) | 34.19 | 13.35 | 1,968,344 | 143.33M | Converted from GL model (log) |
| ShuffleNet x1.0 (g=8) | 34.06 | 13.42 | 2,434,768 | 150.76M | Converted from GL model (log) |
| ShuffleNetV2 x0.5 | 40.99 | 18.65 | 1,366,792 | 43.31M | Converted from GL model (log) |
| ShuffleNetV2 x1.0 | 31.44 | 11.63 | 2,278,604 | 149.72M | Converted from GL model (log) |
| ShuffleNetV2 x1.5 | 27.47 | 9.42 | 4,406,098 | 320.77M | Converted from GL model (log) |
| ShuffleNetV2 x2.0 | 25.94 | 8.45 | 7,601,686 | 595.84M | Converted from GL model (log) |
| ShuffleNetV2b x0.5 | 40.29 | 18.22 | 1,366,792 | 43.31M | Converted from GL model (log) |
| ShuffleNetV2b x1.0 | 30.62 | 11.25 | 2,279,760 | 150.62M | Converted from GL model (log) |
| ShuffleNetV2b x1.5 | 27.31 | 9.11 | 4,410,194 | 323.98M | Converted from GL model (log) |
| ShuffleNetV2b x2.0 | 25.58 | 8.34 | 7,611,290 | 603.37M | Converted from GL model (log) |
| 108-MENet-8x1 (g=3) | 43.94 | 20.76 | 654,516 | 42.68M | Converted from GL model (log) |
| 128-MENet-8x1 (g=4) | 42.43 | 19.59 | 750,796 | 45.98M | Converted from GL model (log) |
| 160-MENet-8x1 (g=8) | 43.84 | 20.84 | 850,120 | 45.63M | Converted from GL model (log) |
| 228-MENet-12x1 (g=3) | 34.11 | 13.16 | 1,806,568 | 152.93M | Converted from GL model (log) |
| 256-MENet-12x1 (g=4) | 32.65 | 12.52 | 1,888,240 | 150.65M | Converted from GL model (log) |
| 348-MENet-12x1 (g=3) | 28.24 | 9.58 | 3,368,128 | 312.00M | Converted from GL model (log) |
| 352-MENet-12x1 (g=8) | 31.56 | 12.00 | 2,272,872 | 157.35M | Converted from GL model (log) |
| 456-MENet-24x1 (g=3) | 25.32 | 7.99 | 5,304,784 | 567.90M | Converted from GL model (log) |
| MobileNet x0.25 | 46.26 | 22.49 | 470,072 | 44.09M | Converted from GL model (log) |
| MobileNet x0.5 | 34.15 | 13.55 | 1,331,592 | 155.42M | Converted from GL model (log) |
| MobileNet x0.75 | 30.14 | 10.76 | 2,585,560 | 333.99M | Converted from GL model (log) |
| MobileNet x1.0 | 26.61 | 8.95 | 4,231,976 | 579.80M | Converted from GL model (log) |
| FD-MobileNet x0.25 | 55.86 | 30.98 | 383,160 | 12.95M | Converted from GL model (log) |
| FD-MobileNet x0.5 | 43.13 | 20.15 | 993,928 | 41.84M | Converted from GL model (log) |
| FD-MobileNet x0.75 | 38.42 | 16.41 | 1,833,304 | 86.68M | Converted from GL model (log) |
| FD-MobileNet x1.0 | 34.23 | 13.38 | 2,901,288 | 147.46M | Converted from GL model (log) |
| MobileNetV2 x0.25 | 48.34 | 24.51 | 1,516,392 | 34.24M | Converted from GL model (log) |
| MobileNetV2 x0.5 | 35.98 | 14.93 | 1,964,736 | 100.13M | Converted from GL model (log) |
| MobileNetV2 x0.75 | 30.17 | 10.82 | 2,627,592 | 198.50M | Converted from GL model (log) |
| MobileNetV2 x1.0 | 26.97 | 8.87 | 3,504,960 | 329.36M | Converted from GL model (log) |
| IGCV3 x0.25 | 53.70 | 28.71 | 1,534,020 | 41.29M | Converted from GL model (log) |
| IGCV3 x0.5 | 39.75 | 17.32 | 1,985,528 | 111.12M | Converted from GL model (log) |
| IGCV3 x0.75 | 31.05 | 11.40 | 2,638,084 | 210.95M | Converted from GL model (log) |
| IGCV3 x1.0 | 27.91 | 9.20 | 3,491,688 | 340.79M | Converted from GL model (log) |
| MnasNet | 31.58 | 11.74 | 4,308,816 | 317.67M | From zeusees/Mnasnet...Model (log) |
| DARTS | 26.70 | 8.74 | 4,718,752 | 539.86M | From quark0/darts (log) |
| ProxylessNAS CPU | 24.71 | 7.61 | 4,361,648 | 459.96M | From MIT-HAN-LAB/ProxylessNAS (log) |
| ProxylessNAS GPU | 24.79 | 7.45 | 7,119,848 | 476.08M | Converted from GL model (log) |
| ProxylessNAS Mobile | 25.41 | 7.80 | 4,080,512 | 332.46M | From MIT-HAN-LAB/ProxylessNAS (log) |
| ProxylessNAS Mob-14 | 23.29 | 6.62 | 6,857,568 | 597.10M | Converted from GL model (log) |
| Xception | 20.97 | 5.49 | 22,855,952 | 8,403.63M | From Cadene/pretrained...pytorch (log) |
| InceptionV3 | 21.12 | 5.65 | 23,834,568 | 5,743.06M | From dmlc/gluon-cv (log) |
| InceptionV4 | 20.64 | 5.29 | 42,679,816 | 12,304.93M | From Cadene/pretrained...pytorch (log) |
| InceptionResNetV2 | 19.93 | 4.90 | 55,843,464 | 13,188.64M | From Cadene/pretrained...pytorch (log) |
| PolyNet | 19.10 | 4.52 | 95,366,600 | 34,821.34M | From Cadene/pretrained...pytorch (log) |
| NASNet-A 4@1056 | 25.68 | 8.16 | 5,289,978 | 584.90M | From Cadene/pretrained...pytorch (log) |
| NASNet-A 6@4032 | 18.14 | 4.21 | 88,753,150 | 23,976.44M | From Cadene/pretrained...pytorch (log) |
| PNASNet-5-Large | 17.88 | 4.28 | 86,057,668 | 25,140.77M | From Cadene/pretrained...pytorch (log) |
| EfficientNet-B0b | 24.12 | 7.24 | 5,288,548 | 414.31M | From rwightman/pyt...models (log) |
| EfficientNet-B1b | 22.07 | 6.14 | 7,794,184 | 608.59M | From rwightman/pyt...models (log) |
| EfficientNet-B2b | 21.06 | 5.52 | 9,109,994 | 699.46M | From rwightman/pyt...models (log) |
| EfficientNet-B3b | 19.63 | 4.89 | 12,233,232 | 1,016.10M | From rwightman/pyt...models (log) |
| ResNet(D)-50b | 21.04 | 5.65 | 25,680,808 | 20,497.60M | From dmlc/gluon-cv (log) |
| ResNet(D)-101b | 19.59 | 4.73 | 44,672,936 | 35,392.65M | From dmlc/gluon-cv (log) |
| ResNet(D)-152b | 19.42 | 4.82 | 60,316,584 | 47,662.18M | From dmlc/gluon-cv (log) |
CIFAR-10
| Model | Error, % | Params | FLOPs/2 | Remarks |
|---|---|---|---|---|
| NIN | 7.43 | 966,986 | 222.97M | Converted from GL model (log) |
| ResNet-20 | 5.97 | 272,474 | 41.29M | Converted from GL model (log) |
| ResNet-56 | 4.52 | 855,770 | 127.06M | Converted from GL model (log) |
| ResNet-110 | 3.69 | 1,730,714 | 255.70M | Converted from GL model (log) |
| ResNet-164(BN) | 3.68 | 1,704,154 | 255.31M | Converted from GL model (log) |
| ResNet-1001 | 3.28 | 10,328,602 | 1,536.40M | Converted from GL model (log) |
| ResNet-1202 | 3.53 | 19,424,026 | 2,857.17M | Converted from GL model (log) |
| PreResNet-20 | 6.51 | 272,282 | 41.27M | Converted from GL model (log) |
| PreResNet-56 | 4.49 | 855,578 | 127.03M | Converted from GL model (log) |
| PreResNet-110 | 3.86 | 1,730,522 | 255.68M | Converted from GL model (log) |
| PreResNet-164(BN) | 3.64 | 1,703,258 | 255.08M | Converted from GL model (log) |
| PreResNet-1001 | 2.65 | 10,327,706 | 1,536.18M | Converted from GL model (log) |
| PreResNet-1202 | 3.39 | 19,423,834 | 2,857.14M | Converted from GL model (log) |
| ResNeXt-29 (32x4d) | 3.15 | 4,775,754 | 780.55M | Converted from GL model (log) |
| ResNeXt-29 (16x64d) | 2.41 | 68,155,210 | 10,709.34M | Converted from GL model (log) |
| SE-ResNet-20 | 6.01 | 274,847 | 41.34M | Converted from GL model (log) |
| SE-ResNet-56 | 4.13 | 862,889 | 127.19M | Converted from GL model (log) |
| SE-ResNet-110 | 3.63 | 1,744,952 | 255.98M | Converted from GL model (log) |
| SE-ResNet-164(BN) | 3.39 | 1,906,258 | 256.55M | Converted from GL model (log) |
| PyramidNet-110 (a=48) | 3.72 | 1,772,706 | 408.37M | Converted from GL model (log) |
| PyramidNet-110 (a=84) | 2.98 | 3,904,446 | 778.15M | Converted from GL model (log) |
| PyramidNet-110 (a=270) | 2.51 | 28,485,477 | 4,730.60M | Converted from GL model (log) |
| PyramidNet-164 (a=270, BN) | 2.42 | 27,216,021 | 4,608.81M | Converted from GL model (log) |
| PyramidNet-200 (a=240, BN) | 2.44 | 26,752,702 | 4,563.40M | Converted from GL model (log) |
| PyramidNet-236 (a=220, BN) | 2.47 | 26,969,046 | 4,631.32M | Converted from GL model (log) |
| PyramidNet-272 (a=200, BN) | 2.39 | 26,210,842 | 4,541.36M | Converted from GL model (log) |
| DenseNet-40 (k=12) | 5.61 | 599,050 | 210.80M | Converted from GL model (log) |
| DenseNet-BC-40 (k=12) | 6.43 | 176,122 | 74.89M | Converted from GL model (log) |
| DenseNet-BC-40 (k=24) | 4.52 | 690,346 | 293.09M | Converted from GL model (log) |
| DenseNet-BC-40 (k=36) | 4.04 | 1,542,682 | 654.60M | Converted from GL model (log) |
| DenseNet-100 (k=12) | 3.66 | 4,068,490 | 1,353.55M | Converted from GL model (log) |
| DenseNet-100 (k=24) | 3.13 | 16,114,138 | 5,354.19M | Converted from GL model (log) |
| DenseNet-BC-100 (k=12) | 4.16 | 769,162 | 298.45M | Converted from GL model (log) |
| DenseNet-BC-190 (k=40) | 2.52 | 25,624,430 | 9,400.45M | Converted from GL model (log) |
| DenseNet-BC-250 (k=24) | 2.67 | 15,324,406 | 5,519.54M | Converted from GL model (log) |
| X-DenseNet-BC-40-2 (k=24) | 5.31 | 690,346 | 293.09M | Converted from GL model (log) |
| X-DenseNet-BC-40-2 (k=36) | 4.37 | 1,542,682 | 654.60M | Converted from GL model (log) |
| WRN-16-10 | 2.93 | 17,116,634 | 2,414.04M | Converted from GL model (log) |
| WRN-28-10 | 2.39 | 36,479,194 | 5,246.98M | Converted from GL model (log) |
| WRN-40-8 | 2.37 | 35,748,314 | 5,176.90M | Converted from GL model (log) |
| WRN-20-10-1bit | 3.26 | 26,737,140 | 4,019.14M | Converted from GL model (log) |
| WRN-20-10-32bit | 3.14 | 26,737,140 | 4,019.14M | Converted from GL model (log) |
| RoR-3-56 | 5.43 | 762,746 | 113.43M | Converted from GL model (log) |
| RoR-3-110 | 4.35 | 1,637,690 | 242.07M | Converted from GL model (log) |
| RoR-3-164 | 3.93 | 2,512,634 | 370.72M | Converted from GL model (log) |
| RiR | 3.28 | 9,492,980 | 1,281.08M | Converted from GL model (log) |
| Shake-Shake-ResNet-20-2x16d | 5.15 | 541,082 | 81.78M | Converted from GL model (log) |
| Shake-Shake-ResNet-26-2x32d | 3.17 | 2,923,162 | 428.89M | Converted from GL model (log) |
| DIA-ResNet-20 | 6.22 | 286,866 | 41.54M | Converted from GL model (log) |
| DIA-ResNet-56 | 5.05 | 870,162 | 129.31M | Converted from GL model (log) |
| DIA-ResNet-110 | 4.10 | 1,745,106 | 264.71M | Converted from GL model (log) |
| DIA-ResNet-164(BN) | 3.50 | 1,923,002 | 343.60M | Converted from GL model (log) |
| DIA-PreResNet-20 | 6.42 | 286,674 | 41.52M | Converted from GL model (log) |
| DIA-PreResNet-56 | 4.83 | 869,970 | 129.28M | Converted from GL model (log) |
| DIA-PreResNet-110 | 4.25 | 1,744,914 | 264.69M | Converted from GL model (log) |
| DIA-PreResNet-164(BN) | 3.56 | 1,922,106 | 343.37M | Converted from GL model (log) |