Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing
Face anti-spoofing is crucial to the security of face recognition systems. Most previous methods formulate face anti-spoofing as a supervised learning problem to detect various predefined presentation attacks, which need large scale training data to cover as many attacks as possible. However, the trained model is easy to overfit several …