Definition
A technique that creates heat maps showing which regions of an image are important for classification.
Detailed Explanation
Gradient-weighted Class Activation Mapping uses the gradients of any target concept flowing into the final convolutional layer to produce a coarse localization map highlighting important regions in the image.
Use Cases
Medical diagnosis visualization, autonomous vehicle decision explanation, quality control inspection