Shuffled Patch-Wise Supervision for Presentation Attack Detection

Face anti-spoofing is essential to prevent false facial verification by using a photo, video, mask, or a different substitute for an authorized person’s face. Most of the state-of-the-art presenta- tion attack detection (PAD) systems suffer from overfitting, where they achieve near-perfect scores on a single dataset but fail on a different dataset with more realistic data.

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