Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
Face anti-spoofing is crucial to prevent face recognition systems from a security breach. Previous deep learning approaches formulate face anti-spoofing as a binary classification problem. Many of them struggle to grasp adequate spoofing cues and generalize poorly. In this paper, we argue the importance of auxiliary supervision to guide the …