Deep Learning for Face Anti-Spoofing: A Survey-Reference-Cited by-同舟云学术

Deep Learning for Face Anti-Spoofing: A Survey

Published:2022 Issue: Volume: Page:1-22
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Yu Zitong¹^ORCID,Qin Yunxiao²^ORCID,Li Xiaobai¹^ORCID,Zhao Chenxu³,Lei Zhen⁴^ORCID,Zhao Guoying¹^ORCID

Affiliation:

1. Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland

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

3. SailYond Technology, Beijing, China

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09925105.pdf?arnumber=9925105

Reference202 articles.

1. A survey on 3D mask presentation attack detection and countermeasures

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4. Deep convolutional neural networks for face and iris presentation attack detection: survey and case study

5. Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing

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