Comments (2)
Hi, you are right. For alexnet, z is diretly used to guide muting. For resnet, downsampled middle layer spatial gradients are used to guide muting for z. Now I have seperated the code for alexnet and resnet respectively. Hope it helps.
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Hi, you are right. For alexnet, z is diretly used to guide muting. For resnet, downsampled middle layer spatial gradients are used to guide muting for z. Now I have seperated the code for alexnet and resnet respectively. Hope it helps.
Got it. Thank you.
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Related Issues (20)
- Reasoning & Effects for batch part in the forward pass of resnet.py
- cannot reproduce results on PACS HOT 2
- JigsawNewDataset Class error HOT 3
- Why not choose the grad of x_new_4 directly for spatial _mean? HOT 2
- Alexnet issue HOT 2
- Confusing naming conventions HOT 1
- Question about the batch part HOT 1
- Why not use cross entropy for determining which features to mask? HOT 1
- Non-Reproducible Results HOT 2
- Random seeds value HOT 5
- Experimental results in paper HOT 4
- Questions about the implementation. HOT 3
- Performance without pre-processing transforms.ColorJitter HOT 1
- Where is the caffenet.py file? HOT 1
- Choice of datapoints to which RSC is applied HOT 2
- Question about the spatial-wise RSC implementation HOT 1
- Alexnet not available HOT 1
- Code breaks at epoch 40 HOT 2
- Application of the method on regression problems HOT 6
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