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Ying Bian

2 accepted papers

2022

Learning Multiple Explainable and Generalizable Cues for Face Anti-Spoofing

ICASSP 2022accepted

Although previous CNN based face anti-spoofing methods have achieved promising performance under intra-dataset testing, they suffer from poor generalization under cross-dataset testing. The main reason is that they learn the network with only binary supervision, which may learn arbitrary cues overfi…

Cited by 0SourceScholar
2021

Self-Domain Adaptation for Face Anti-Spoofing

AAAI 2021technical

Although current face anti-spoofing methods achieve promising results under intra-dataset testing, they suffer from poor generalization to unseen attacks. Most existing works adopt domain adaptation (DA) or domain generalization (DG) techniques to address this problem. However, the target domain is…

Cited by 117SourcePDFScholar