Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning
Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning
Face presentation attack detection (PAD) has been an urgent problem to be solved in the face recognition systems. Conventional approaches usually assume the testing and training are within the same domain; as a result, they may not generalize well into unseen scenarios because the representations learned for PAD may overfit …