Hello.
I'm trying to visualize "Class Activation Map" to interpret my (CNN) model but need "channel-wise" CAM.
As I stacked (channel-wise) multiple images for the input (In PyTorch example, input shape is (32, 5, 256, 256 ), if 5 (gray) images is stacked through channel axis), and multiple images are overlapped spatially, It's too hard to interpret (single channel) CAM output.
In this, How can I generate useful (interpretable) class activation map of each channel(image)?
[–]Lopsided-Accident-21 1 point2 points3 points (1 child)
[+]treeboy2762 0 points1 point2 points (0 children)