A flow-augmented teacher transfers motion-aware knowledge via logit distillation to an RGB-only student model, enabling real-time face presentation attack detection with near-zero error rates on standard benchmarks.
Face anti-spoofing using patch and depth-based cnns,
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Flow Augmentation and Knowledge Distillation for Lightweight Face Presentation Attack Detection
A flow-augmented teacher transfers motion-aware knowledge via logit distillation to an RGB-only student model, enabling real-time face presentation attack detection with near-zero error rates on standard benchmarks.