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Cartoon Explanations of Image Classifiers. (arXiv:2110.03485v4 [cs.AI] UPDATED)
March 11, 2022, 2:10 a.m. | Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok
cs.CV updates on arXiv.org arxiv.org
We present {CartoonX} (Cartoon Explanation), a novel model-agnostic
explanation method tailored towards image classifiers and based on the
rate-distortion explanation (RDE) framework. Natural images are roughly
piece-wise smooth signals -- also called cartoon-like images -- and tend to be
sparse in the wavelet domain. CartoonX is the first explanation method to
exploit this by requiring its explanations to be sparse in the wavelet domain,
thus extracting the {relevant piece-wise smooth} part of an image instead of
relevant pixel-sparse regions. We …
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