DeepConsensus: using the consensus of features from multiple layers to attain robust image classification

18 Nov 2018Yuchen LiSafwan HossainKiarash JamaliFrank Rudzicz

We consider a classifier whose test set is exposed to various perturbations that are not present in the training set. These test samples still contain enough features to map them to the same class as their unperturbed counterpart... (read more)

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