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osmr_modelnames
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osmr_modelnames
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model top1 top5 params flops
ResNet-10 37.46 15.85 5,418,792 892.62M
ResNet-12 36.18 14.80 5,492,776 1,124.23M
ResNet-14 33.17 12.71 5,788,200 1,355.64M
ResNet-16 30.90 11.38 6,968,872 1,586.95M
ResNet-18 x0.25 49.50 24.83 831,096 136.64M
ResNet-18 x0.5 37.04 15.38 3,055,880 485.22M
ResNet-18 x0.75 33.61 12.85 6,675,352 1,045.75M
ResNet-18 29.52 10.21 11,689,512 1,818.21M
ResNet-34 25.66 8.18 21,797,672 3,669.16M
ResNet-50 23.79 7.05 25,557,032 3,868.96M
ResNet-50b 23.05 6.65 25,557,032 4,100.70M
ResNet-101 21.90 6.22 44,549,160 7,586.30M
ResNet-101b 21.45 5.81 44,549,160 7,818.04M
ResNet-152 21.26 5.82 60,192,808 11,304.85M
ResNet-152b 20.74 5.50 60,192,808 11,536.58M
PreResNet-18 29.09 10.18 11,687,848 1,818.41M
PreResNet-34 26.23 8.41 21,796,008 3,669.36M
PreResNet-50 23.70 6.85 25,549,480 3,869.16M
PreResNet-50b 23.33 6.87 25,549,480 4,100.90M
PreResNet-101 21.74 5.91 44,541,608 7,586.50M
PreResNet-101b 21.95 6.03 44,541,608 7,818.24M
PreResNet-152 20.94 5.55 60,185,256 11,305.05M
PreResNet-152b 21.34 5.91 60,185,256 11,536.78M
PreResNet-200b 21.33 5.88 64,666,280 15,040.27M
ResNeXt-101 (32x4d) 21.81 6.11 44,177,704 7,991.62M
ResNeXt-101 (64x4d) 21.04 5.75 83,455,272 15,491.88M
SE-ResNet-50 22.47 6.40 28,088,024 3,877.01M
SE-ResNet-101 21.88 5.89 49,326,872 7,600.01M
SE-ResNet-152 21.48 5.76 66,821,848 11,324.62M
SE-ResNeXt-50 (32x4d) 21.00 5.54 27,559,896 4,253.33M
SE-ResNeXt-101 (32x4d) 19.96 5.05 48,955,416 8,005.33M
SENet-154 18.62 4.61 115,088,984 20,742.40M
DenseNet-121 25.57 8.03 7,978,856 2,852.39M
DenseNet-161 22.86 6.44 28,681,000 7,761.25M
DenseNet-169 24.40 7.19 14,149,480 3,381.48M
DenseNet-201 23.10 6.63 20,013,928 4,318.75M
CondenseNet-74 (C=G=4) 26.25 8.28 4,773,944 533.64M
CondenseNet-74 (C=G=8) 28.93 10.06 2,935,416 278.55M
DPN-68 24.17 7.27 12,611,602 2,338.71M
DPN-98 20.81 5.53 61,570,728 11,702.80M
DPN-131 20.54 5.48 79,254,504 16,056.22M
DarkNet Tiny 43.65 19.80 1,042,104 496.34M
DarkNet Ref 38.58 17.18 7,319,416 365.55M
SqueezeNet v1.0 41.31 19.32 1,248,424 828.30M
SqueezeNet v1.1 41.82 19.38 1,235,496 354.88M
ShuffleNetV2 x0.5 41.48 19.02 1,366,792 42.34M
ShuffleNetV2 x1.0 34.39 13.78 2,278,604 147.92M
ShuffleNetV2 x1.5 32.82 12.69 4,406,098 318.61M
108-MENet-8x1 (g=3) 43.92 20.76 654,516 40.64M
128-MENet-8x1 (g=4) 43.95 20.62 750,796 43.58M
228-MENet-12x1 (g=3) 33.57 13.28 1,806,568 148.93M
256-MENet-12x1 (g=4) 33.41 13.26 1,888,240 146.11M
348-MENet-12x1 (g=3) 30.10 10.92 3,368,128 306.31M
352-MENet-12x1 (g=8) 33.31 13.08 2,272,872 151.03M
456-MENet-24x1 (g=3) 28.40 9.93 5,304,784 560.72M
MobileNet x0.25 46.26 22.49 470,072 42.30M
MobileNet x0.5 36.30 15.14 1,331,592 152.04M
MobileNet x0.75 33.54 12.85 2,585,560 329.22M
MobileNet x1.0 29.86 10.36 4,231,976 573.83M
FD-MobileNet x0.25 55.77 31.32 383,160 12.44M
FD-MobileNet x0.5 43.85 20.72 993,928 40.93M
FD-MobileNet x1.0 34.70 14.05 2,901,288 146.08M
MobileNetV2 x0.25 49.72 25.87 1,516,392 32.22M
MobileNetV2 x0.5 36.54 15.19 1,964,736 95.62M
MobileNetV2 x0.75 31.89 11.76 2,627,592 191.61M
MobileNetV2 x1.0 29.31 10.39 3,504,960 320.19M
SNet-A-Mobile 25.68 8.16 5,289,978 587.29M