Face Anti-Spoofing Via Disentangled Representation Learning

european conference on computer vision, pp. 641-657, 2020.

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Abstract:

Face anti-spoofing is crucial to security of face recognition systems. Previous approaches focus on developing discriminative models based on the features extracted from images, which may be still entangled between spoof patterns and real persons. In this paper, motivated by the disentangled representation learning, we propose a novel p...More

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