0.7098 ResNet18 configs/ResNet/ResNet18.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ResNet18_pretrained.tar
0.7650 ResNet50 configs/ResNet/ResNet50.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar
0.7226 ResNet18_vd configs/ResNet/ResNet18_vd.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ResNet18_vd_pretrained.tar
0.7912 ResNet50_vd configs/ResNet/ResNet50_vd.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
0.7099 MobileNetV1 configs/MobileNetV1/MobileNetV1.yaml https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV1_pretrained.tar
0.7215 MobileNetV2 configs/MobileNetV2/MobileNetV2.yaml https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar
0.7532 MobileNetV3_large_x1_0 configs/MobileNetV3/MobileNetV3_large_x1_0.yaml https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV3_large_x1_0_pretrained.tar
0.6880 ShuffleNetV2 configs/ShuffleNet/ShuffleNetV2.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ShuffleNetV2_pretrained.tar
0.7933 Res2Net50_26w_4s configs/Res2Net/Res2Net50_26w_4s.yaml https://paddle-imagenet-models-name.bj.bcebos.com/Res2Net50_26w_4s_pretrained.tar
0.7775 ResNeXt50_32x4d configs/ResNeXt/ResNeXt50_32x4d.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt50_32x4d_pretrained.tar
0.7333 SE_ResNet18_vd configs/SENet/SE_ResNet18_vd.yaml https://paddle-imagenet-models-name.bj.bcebos.com/SE_ResNet18_vd_pretrained.tar
0.7952 SE_ResNet50_vd configs/SENet/SE_ResNet50_vd.yaml https://paddle-imagenet-models-name.bj.bcebos.com/SE_ResNet50_vd_pretrained.tar
0.8024 SE_ResNeXt50_vd_32x4d configs/SENet/SE_ResNeXt50_vd_32x4d.yaml https://paddle-imagenet-models-name.bj.bcebos.com/SE_ResNeXt50_vd_32x4d_pretrained.tar
0.7566 DenseNet121 configs/DenseNet/DenseNet121.yaml https://paddle-imagenet-models-name.bj.bcebos.com/DenseNet121_pretrained.tar
0.7678 DPN68 configs/DPN/DPN68.yaml https://paddle-imagenet-models-name.bj.bcebos.com/DPN68_pretrained.tar
0.7692 HRNet_W18_C configs/HRNet/HRNet_W18_C.yaml https://paddle-imagenet-models-name.bj.bcebos.com/HRNet_W18_C_pretrained.tar
0.7070 GoogLeNet configs/Inception/GoogLeNet.yaml https://paddle-imagenet-models-name.bj.bcebos.com/GoogLeNet_pretrained.tar
0.7930 Xception41 configs/Xception/Xception41.yaml https://paddle-imagenet-models-name.bj.bcebos.com/Xception41_pretrained.tar
0.7955 Xception41_deeplab configs/Xception/Xception41_deeplab.yaml https://paddle-imagenet-models-name.bj.bcebos.com/Xception41_deeplab_pretrained.tar
0.8077 InceptionV4 configs/Inception/InceptionV4.yaml https://paddle-imagenet-models-name.bj.bcebos.com/InceptionV4_pretrained.tar
0.8255 ResNeXt101_32x8d_wsl configs/ResNeXt101_wsl/ResNeXt101_32x8d_wsl.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_32x8d_wsl_pretrained.tar
0.8035 ResNeSt50_fast_1s1x64d configs/ResNeSt/ResNeSt50_fast_1s1x64d.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ResNeSt50_fast_1s1x64d_pretrained.pdparams
0.8083 ResNeSt50 configs/ResNeSt/ResNeSt50.yaml https://paddle-imagenet-models-name.bj.bcebos.com/ResNeSt50_pretrained.pdparams
0.785 RegNetX_4GF configs/RegNet/RegNetX_4GF.yaml https://paddle-imagenet-models-name.bj.bcebos.com/RegNetX_4GF_pretrained.pdparams
0.7402 GhostNet_x1_0 configs/GhostNet/GhostNet_x1_0.yaml https://paddle-imagenet-models-name.bj.bcebos.com/GhostNet_x1_0_pretrained.pdparams
0.567 AlexNet configs/AlexNet/AlexNet.yaml https://paddle-imagenet-models-name.bj.bcebos.com/AlexNet_pretrained.tar
0.596 SqueezeNet1_0 configs/SqueezeNet/SqueezeNet1_0.yaml https://paddle-imagenet-models-name.bj.bcebos.com/SqueezeNet1_0_pretrained.tar
0.693 VGG11 configs/VGG/VGG11.yaml https://paddle-imagenet-models-name.bj.bcebos.com/VGG11_pretrained.tar
0.780 DarkNet53 configs/DarkNet/DarkNet53.yaml https://paddle-imagenet-models-name.bj.bcebos.com/DarkNet53_ImageNet1k_pretrained.tar
