Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing-Reference-Cited by-同舟云学术

Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Zhou Qianyu¹,Zhang Ke-Yue²,Yao Taiping²,Yi Ran¹,Ding Shouhong²,Ma Lizhuang¹

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Youtu Lab, Tencent, Shanghai, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547769

Reference72 articles.

1. Network of Experts for Large-Scale Image Categorization

2. Yousef Atoum , Yaojie Liu , Amin Jourabloo , and Xiaoming Liu . 2018 . Face Anti-Spoofing using Patch and Depth-based CNNs . In Proceedings of the IEEE International Joint Conference on Biometrics (IJCB). Yousef Atoum, Yaojie Liu, Amin Jourabloo, and Xiaoming Liu. 2018. Face Anti-Spoofing using Patch and Depth-based CNNs. In Proceedings of the IEEE International Joint Conference on Biometrics (IJCB).

3. Face anti-spoofing based on color texture analysis

4. Face Spoofing Detection Using Colour Texture Analysis

5. OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations

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