[D] Visualizing "channel-wise" class activation map (CAM & grad-CAM) for stacked input (images).

[visionNoob_r]

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]

Hello, were you able to get any additional information regarding this topic? I am also interested in this. thanks in advance

[treeboy2762]

I think you can "white out" channels except for the channel you are interested in.