Real time image saliency for black box classifiers
In this work we develop a fast saliency detection method that can be applied to any differentiable image classifier. We train a masking model to manipulate the scores of the classifier by masking salient parts of the input image. Our model generalises well to unseen images and requires a single forw...
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Format: | Conference item |
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NIPS Foundation
2018
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