Image classifier explains features used and how to modify them to change output
Image classifier explains features used and how to modify them to change output
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
arXiv paper abstract https://arxiv.org/abs/2104.13369
arXiv PDF paper https://arxiv.org/pdf/2104.13369.pdf
Project page https://explaining-in-style.github.io
Image classification models can depend on multiple ... attributes ... An explanation of the decision of the classifier needs to both discover and visualize these properties.
... present StylEx ... a generative model to specifically explain multiple attributes that underlie classifier decisions.
A natural source for such attributes is the StyleSpace of StyleGAN, which is known to generate semantically meaningful dimensions in the image.
... We apply StylEx to multiple domains, including animals, leaves, faces and retinal images.
... show how an image can be modified in different ways to change its classifier output.
... method finds attributes that align well with semantic ones, generate meaningful image-specific explanations, and are human-interpretable as measured in user-studies.
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