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Frequency-Aware Model Parameter Explorer: A new attribution method for improving explainability

Yavari, Ali et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
State-of-the-art attribution methods such as AttEXplore rely on adversarial sample generation that applies an all-pass filter across the frequency spectrum: they perturb all frequencies of the input image alike, from the low frequencies that carry coarse shape to the high frequencies that carry edge
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