Questions tagged [grad-cam]

For questions about the Gradient-weighted Class Activation Mapping (GradCAM) technique for explainable AI, which was proposed in the paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization" (2019) by Ramprasaath R. Selvaraju et al.

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How is the size of the class activation maps related to the size of the input images?

According to the images of the block diagram of class activation maps on the Internet, it seems that these images are a weighted sum of feature maps of the last convolutional layer as shown in the ...
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In GradCAM, why is activation strength considered an indicator of relevant regions?

In the GradCAM paper section 3 they implicitly propose that two things are needed to understand which areas of an input image contribute most to the output class (in a multi-label classification ...