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CogCNN

Official implementation of the paper CogCNN: Mimicking Human Cognition to Resolve Shape Texture Bias presented at the BAICS workshop at ICLR 2020.

Instructions to run-

  • Have the following directory structure for data - multitask/ |->amazon_silhouette |->(Folders corresponding to labels) |->amazon_texture |->images |->(Folders corresponding to labels) |->greyscale |->(Folders corresponding to labels) |->edges |->(Folders corresponding to labels) |->data |->label |->labels |->images |->Reconstructed_Results
  • Run generate_dataset.py if the data and label dir do not contain .npy files
  • Run train.py, the reconstructed images will be in Reconstructed_Results dir

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Code release for the paper Cognitive CNN: Mimicking Human Cognition to resolve shape texture bias from ICLRW-2020

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