Related Issues (14)
- Only test part , and no trainval datasets inside ? HOT 1
- Understand AUPR95 in our paper HOT 4
- I just get the acc of 0.9% in your dataset when I use PVT. It's too lower that I can't believe, HOT 1
- Mismatch between the ImageNet-A classes reported in the paper and in the download? HOT 1
- Used model
- How to interpret file names?
- Naming convention of the jpg files HOT 1
- Another file name convention question HOT 3
- Download o fhttps://github.com/pytorch/vision/archive/master.zip
- `stable_cumsum` needs to be imported HOT 2
- Is fine-tuning needed when evaluating on ImageNet-O? HOT 1
- What structure in the file PATH_TO_IMAGENET_VAL = "./imagenet1k/val/"? HOT 1
- ResNet50 get 0% (not ~2% as reported in the paper) HOT 7
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