Consistency Regularization for Deep Face Anti-Spoofing-Reference-Cited by-同舟云学术

Consistency Regularization for Deep Face Anti-Spoofing

Published:2023 Issue: Volume:18 Page:1127-1140
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Wang Zezheng¹^ORCID,Yu Zitong²^ORCID,Wang Xun¹,Qin Yunxiao³^ORCID,Li Jiahong¹,Zhao Chenxu⁴,Liu Xin⁵^ORCID,Lei Zhen⁶^ORCID

Affiliation:

1. MMU, Kuaishou Technology, Beijing, China

2. Great Bay University, Guangzhou, China

3. State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China

4. SailYond Technology, Beijing, China

5. Computer Vision and Pattern Recognition Laboratory, Lappeenranta-Lahti University of Technology LUT, Lappeenranta, Finland

6. National Laboratory of Pattern Recognition (NLPR), Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China

Funder

National Natural Science Foundation of China

InnoHK Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/9970396/10012352.pdf?arnumber=10012352

Reference98 articles.

1. Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

2. Face anti-spoofing via disentangled representation learning;zhang;Proc ECCV,2020

3. Dual-Cross Central Difference Network for Face Anti-Spoofing

4. Revisiting Pixel-Wise Supervision for Face Anti-Spoofing

5. An original face anti-spoofing approach using partial convolutional neural network

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