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Update ResNet-50 accuracy with Repeated Augmentation (#5201)
* Update ResNet-50 accuracy with Repeated Augmentations * Update the ResNet50 weights URL. Co-authored-by: Vasilis Vryniotis <[email protected]>
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torchvision/prototype/models/resnet.py

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@@ -108,16 +108,16 @@ class ResNet50_Weights(WeightsEnum):
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},
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)
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ImageNet1K_V2 = Weights(
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url="https://download.pytorch.org/models/resnet50-f46c3f97.pth",
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url="https://download.pytorch.org/models/resnet50-11ad3fa6.pth",
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transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
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meta={
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**_COMMON_META,
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"architecture": "ResNet",
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"publication_year": 2015,
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"num_params": 25557032,
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"recipe": "https://github.com/pytorch/vision/issues/3995#new-recipe-with-fixres",
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"acc@1": 80.674,
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"acc@5": 95.166,
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"recipe": "https://github.com/pytorch/vision/issues/3995#issuecomment-1013906621",
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"acc@1": 80.858,
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"acc@5": 95.434,
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},
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)
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default = ImageNet1K_V2

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