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Hi.
I wanted to reproduce the results of your Paper with EigenCam (Appendix C.3. Eigen-CAM Analysis) using pytorch-grad-cam lib.
However i had a problem in using the code you provided in src/comm…
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I am new on this code, My question is that if i want to get the grad on the CNN layer by using register_backward_hook function. Should I remove the code "with torch.no_grad():" when training this mode…
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Can I use this package with RGBD images? My custom model is a two stream network taking RGB image in one stream and depth image in the other. How can I specify input_tensor in such a case? Kindly ad…
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suppose my input is five-dimensional data which includes time dimension（N,C,T,H,W）. What do you call the CAM module？Or could open source the code about CAM you have adjusted, thanks a lot.
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Hi, I think your research is interesting and grateful for providing the code.
I am grateful to the authors of the paper.
I saw the following visualization results in the paper.
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Us…
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grayscale_cam = cam(input_tensor=input_tensor, targets=targets)
File "/home/melkor/projects/pytorch-grad-cam/pytorch_grad_cam/base_cam.py", line 188, in __call__
return self.forward(input_…
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Currently, encoder-decoder models lack support for Grad-CAM (Gradient-weighted Class Activation Mapping) visualization with cross-attention mechanisms. Grad-CAM is a valuable tool for interpreting mo…
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Hi
can you please release or point me out to your code for recreating the visualizations for table 2 and table 9? Are you utilizing the OT matrix to highlight which parts of an image is being look…
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您好，可以向您请教一下有关网络的Grad-cam可视化的问题吗，文章中是如何实现可视化的吗，我找了您发的相关代码，好像里面没有涉及到该内容。