I'm building CNN network of Image to Image.

After training, I have some bad results in part of the Image.

I would like to find the neurons that most influenced those pixels and do retraining only for them.

I have seen some previous works about visualizing networks, like here:


But they are only finding activations maps or visualizing with softmax in the output layer.

How can I do that for Image to Image?


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