Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing-Reference-Cited by-同舟云学术

Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Multimedia
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Author:

Liu ShuBao¹,Zhang Ke-Yue²,Yao Taiping²,Bi Mingwei²,Ding Shouhong²,Li Jilin²,Huang Feiyue²,Ma Lizhuang¹

Affiliation:

1. East China Normal University, Shanghai, China

2. Tencent, Shanghai, China

Funder

Shanghai Municipal Science and Technology Major Project

National Key Research and Development Program of China

Zhejiang Lab

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474085.3475279

Reference49 articles.

1. Face anti-spoofing using patch and depth-based CNNs

2. Face anti-spoofing based on color texture analysis

3. Face Spoofing Detection Using Colour Texture Analysis

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

5. Zhihong Chen , Taiping Yao , Kekai Sheng , Shouhong Ding , Ying Tai , Jilin Li , Feiyue Huang , and Xinyu Jin . 2021 . Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing. In AAAI Conference on Artificial Intelligence (AAAI). Zhihong Chen, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Feiyue Huang, and Xinyu Jin. 2021. Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing. In AAAI Conference on Artificial Intelligence (AAAI).

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