How To Visualize Image Classification (ResnetV2)

I am using the modelzoo resnetv2 model for training a classification problem. There are some misclassified cases and I would like to see what areas of the image are most strongly related to the misclassification.

Does anything exist within Mxnet or Gluon for determining this? I’ve found some github examples in other frames, such as: https://github.com/metalbubble/CAM.

There is an mxnet implement for gradcam available here

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