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Class Activation Mapping (CAM)
Technique that generates discriminative localization maps for convolutional neural networks without supervision, using information from the final convolutional layer to spatially weight the importance of each input region for a given class.
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Excitation Backprop
Visualization method that propagates activations from the output layer to the input using a modified version of backpropagation, where weights are replaced by conditional probabilities to better capture excitation paths in the network.
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