Interpretable Basis Decomposition for Visual Explanation

Explanations of the decisions made by a deep neural network are important for human end-users to be able to understand and diagnose the trustworthiness of the system. Current neural networks used for visual recognition are generally used as black boxes that do not provide any human interpretable justification for a prediction... (read more)

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METHOD TYPE
Interpretability
Image Models