Dual Spoof Disentanglement Generation for Face Anti-Spoofing With Depth Uncertainty Learning

Face anti-spoofing (FAS) plays a vital role in preventing face recognition systems from presentation attacks. Existing face anti-spoofing datasets lack diversity due to the insufficient identity and insignificant variance, which limits the generalization ability of FAS model. In this paper, we propo...

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