PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more - rwightman/timm
EfficientNet NoisyStudent (B0-B7, L2) - https:///abs/1911.04252 EfficientNet AdvProp (B0-B8) - https:///abs/1911.09665 EfficientNet (B0-B7) - https:///abs/1905.11946 EfficientNet-EdgeTPU (S, M, L) - https://ai./2019/08/efficientnet-edgetpu-creating.html FBNet-C - https:///abs/181...
EfficientNet NoisyStudent (B0-B7, L2) - https://arxiv.org/abs/1911.04252 EfficientNet AdvProp (B0-B8) - https://arxiv.org/abs/1911.09665 EfficientNet (B0-B7) - https://arxiv.org/abs/1905.11946 EfficientNet-EdgeTPU (S, M, L) - https://ai.googleblog.com/2019/08/efficientnet-edgetpu-...
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet,
'efficientnet_b2_pruned','efficientnet_b3','efficientnet_b3_pruned','efficientnet_b4','efficientnet_el','efficientnet_el_pruned','efficientnet_em','efficientnet_es','efficientnet_es_pruned','efficientnet_lite0','efficientnetv2_rw_m','efficientnetv2_rw_s','ens_adv_inception_resnet_v2','ese_...
安装库: pipinstalltimm 导入库: importtimm 加载预训练模型 net=timm.create_model('resnet50',pretrained=False,num_classes=10) 打印所有可用预训练模型的名字: print(timm.list_models(pretrained=True)) 'adv_inception_v3', 'bat_resnext26ts', 'beit_base_patch16_224', 'beit_base_patch16_224_in22...
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EfficientNet NoisyStudent (B0-B7, L2) - https:///abs/1911.04252 EfficientNet AdvProp (B0-B8) - https:///abs/1911.09665 EfficientNet (B0-B7) - https:///abs/1905.11946 EfficientNet-EdgeTPU (S, M, L) - https://ai./2019/08/efficientnet-edgetpu-creating.html ...
EfficientNet-EdgeTPU (S, M, L) - https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html FBNet-C - https://arxiv.org/abs/1812.03443 MixNet - https://arxiv.org/abs/1907.09595 MNASNet B1, A1 (Squeeze-Excite), and Small - https://arxiv.org/abs/1807.11626 ...
58 mobilenetv3_large_100_miil 77.916 5.48 0.0115 86 59 hardcorenas_c 77.054 5.52 0.0115 86 60 mobilenetv2_120d 77.284 5.83 0.0116 86 61 legacy_seresnext26_32x4d 77.104 16.79 0.0116 86 62 tf_efficientnet_b0_ns 78.658 5.29 0.0116 86 63 tf_mobilenetv3_large_100 75.518 5.48 0.0116 86 64 res...