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The link for downloading data in Chapter06/Class_activation_maps.ipynb doesn't work
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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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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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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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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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As clip_selection.py shown, we need to use target class label to help us select the most suitable text prompt for images. So how can we get the class label at first when infer test-set? Did it show an…
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Our paper "LayerCAM: Exploring Hierarchical Class Activation Maps for Localization" is accepted by TIP recently, which can visualize the class activation maps from any cnn layer of an off-the-shelf ne…
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Are attention maps the same as class activation maps in CNNs? I'm having a little trouble trying to understand how the attention weights are used to represent the maps. Could someone send some links t…
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1.How to determine the boundary area of the object of interest?
2.The paper mentions: the class-agnostic activation maps can be used to extract class-agnostic object bounding boxes for localization. …
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Want to know about base_cam.py , is this implementation of the earlier version of grad_CAM , I mean the normal Class Activation Maps based on paper "Learning Deep Features for Discriminative Localizat…