Learning Facial Liveness Representation for Domain Generalized Face Anti-Spoofing
Learning Facial Liveness Representation for Domain Generalized Face Anti-Spoofing
Face anti-spoofing (FAS) aims at distinguishing face spoof attacks from the authentic ones, which is typically approached by learning proper models for performing the associated classification task. In practice, one would expect such models to be generalized to FAS in different image domains. Moreover, it is not practical to assume …