Unverified50% confidenceFactExact time
Grad-CAM is a gradient-based visual explanation method: it takes the gradient of the target class score with respect to the last convolutional feature map, applies global average pooling to obtain per-channel weights, then computes a weighted sum of the feature maps and upsamples it to generate a heatmap of the same size as the input.
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10/30/2026
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