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Low-level Bias Discovery and Mitigation for Image Classification

International Conference on Signal Processing and Communications(2022)

Cited 1|Views10
Key words
low-level bias discovery,image classification,classifier,fundamental sanity check,trustworthy AI systems,auto-encoder architecture,deep neural network,input image,latent embeddings,higher dimensional feature maps,disentangled color,shape embeddings,color embeddings,color information,RGB image,low level bias,counterfactual images,ColorMNIST,BiasedShape dataset
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