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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CNN: Input Normalization for Time Series Data (Grad-CAM)

I trained a CNN model on univariate time series data. As I often read that it is advisable to normalize the data, e.g., using z-normalization, I started with training on z-normalized versions of 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 ...