Cross-Scenario Unknown-Aware Face Anti-Spoofing With Evidential Semantic Consistency Learning-Reference-Cited by-同舟云学术

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Cross-Scenario Unknown-Aware Face Anti-Spoofing With Evidential Semantic Consistency Learning

Published:2024 Issue: Volume:19 Page:3093-3108
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Jiang Fangling¹^ORCID,Liu Yunfan²^ORCID,Si Haolin³,Meng Jingjing³,Li Qi⁴^ORCID

Affiliation:

1. School of Computer Science, University of South China, Hengyang, China

2. School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

3. Huawei Technologies Company Ltd., Guangdong, China

4. State Key Laboratory of Multimodal Artificial Intelligence Systems, Center for Research on Intelligent Perception and Computing, CASIA, Beijing, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

Scientific Research Foundation of the Department of Education of Hunan Province

Hengyang Science and Technology Plan Project

Beijing Municipal Natural Science Foundation

Youth Innovation Promotion Association Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10409236.pdf?arnumber=10409236

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. Efficient face anti-spoofing via head-aware transformer based knowledge distillation with 5 MB model parameters;Applied Soft Computing;2024-11

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