Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss-Reference-Cited by-同舟云学术

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Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss

Published:2023-01-05 Issue: Volume: Page:
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Container-title:2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)
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Author:

Chuang Chu-Chun¹,Wang Chien-Yi²,Lai Shang-Hong¹

Affiliation:

1. National Tsing Hua University,Taiwan

2. Microsoft AI R&D Center,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10042469/10042499/10042685.pdf?arnumber=10042685

Reference31 articles.

1. Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing

2. Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing

3. Conditional Expression Synthesis with Face Parsing Transformation

4. Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision

5. A face anti-spoofing database with diverse attacks;zhang;2012 5th IAPR International Conference on Biometrics (ICB),0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection;International Journal of Computer Vision;2024-06-25

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