Self-Attention and MLP Auxiliary Convolution for Face Anti-Spoofing
Author:
Affiliation:
1. School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China
2. School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, China
Funder
National Key Research and Development Program of China
Science Foundation of Zhejiang Sci-Tech University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10323455.pdf?arnumber=10323455
Reference66 articles.
1. Self-Attention Generative Distribution Adversarial Network for Few- and Zero-Shot Face Anti-Spoofing
2. Multi-feature fusing local directional ternary pattern for facial expressions signal recognition based on video communication system
3. Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection
4. APMSA: Adversarial Perturbation Against Model Stealing Attacks
5. Consistency Regularization for Deep Face Anti-Spoofing
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