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Corruption Robust Image Classification with a new Activation Function. Our proposed Activation Function is inspired by the Human Visual System and a classic signal processing fix for data corruption.

License: Creative Commons Zero v1.0 Universal

MATLAB 100.00%
cnn classification activation-functions relu-layer distorted-images image-corruption robust-learning data-augmentation

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low_pass_relu's Issues

Decision space Mapping

Prune all the layers up to the FC2 layer and directly mimic image features with (X, Y), which is 'a' in the Matlab code. Instead of using the classify function mentioned in the paper in Algorithm 1 #, I change to the forward function by adding the 1x1x2 input layer, and I got the predicted class and score. I little bit confusing the visualization progress, and please more introduction on this , that would be very helpful. cheers mate.

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