Towards Interpretable Face Recognition

International Conference on Computer Vision, Volume abs/1805.00611, 2018, Pages 9348-9357.

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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Deep CNNs have been pushing the frontier of visual recognition over past years. Besides recognition accuracy, strong demands in understanding deep CNNs in the research community motivate developments of tools to dissect pre-trained models to visualize how they make predictions. Recent works further push the interpretability in the network...More

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