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Create class activation maps to explain the black-box nature of convolutional neural networks. Remember, that this is primarily aimed at customed trained models rather than pre-trained models so that …
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Hello, after reading through your dissertation, I saw the class activation map, but I do n’t know how to get it, can you share this visual code? Thank you very much
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I tried to use CAM to observe the feature map of Axial-Attention, but found that the network did not learn a good feature representation.
I use script from Bolei Zhou to generate CAM: https://githu…
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Is there a way to compute and visualize the class activation heatmaps on the query image (or the resultant reidentified image). Which can tell us at which parts of the image did the model focus more o…
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## Background
`backendtrain/ops/*Layer` has extra(auxiliary) tensors used for `backward()`.
For example,
https://github.com/Samsung/ONE/blob/60683ad7293d2a18a7939dc49bcea77d8e09b352/runtime/…
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Is there a way in R-keras to generate CAMs or Saliency Maps for one-dimensional input (e.g. a vector) as described for example for the "keras-vis" package for python?: https://github.com/raghakot/kera…
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**Describe the bug**
Activating a row scrolls the grid. So the current will be the last visible row. Unfortunatly this rows height contains the scrollbar too - so moving into/onto that row will alway…
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Hello, I am glad to see your open-source code. Your work inspires me a lot. I want to ask how the class activation diagram in the paper is drawn. Because I know that the class activation map function …
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Great work!
I think the current open source only offered the demos for Class Activation Maps. But in the paper, you also showed outstanding results of the FeatUp in tasks like semantic segmentation.…
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### Search before asking
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### Question
Hello! I'm currently bui…