Learning Meta Pattern for Face Anti-Spoofing

@article{Cai2021LearningMP,
  title={Learning Meta Pattern for Face Anti-Spoofing},
  author={Rizhao Cai and Zhi Li and Renjie Wan and Haoliang Li and Yongjian Hu and Alex Chichung Kot},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2021},
  volume={17},
  pages={1201-1213}
}
  • Rizhao CaiZhi Li A. Kot
  • Published 13 October 2021
  • Computer Science
  • IEEE Transactions on Information Forensics and Security
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task have achieved promising results in intra-dataset experiments with similar distributions of training and testing data, the DNNs’ generalization ability is limited under the cross-domain scenarios with different distributions of training and testing data. To improve the generalization ability, recent hybrid methods have… 

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