An original face anti-spoofing approach using partial convolutional neural network-Reference-Cited by-同舟云学术

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

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)
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Author:

Li Lei,Feng Xiaoyi,Boulkenafet Zinelabidine,Xia Zhaoqiang,Li Mingming,Hadid Abdenour

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7799452/7820922/07821013.pdf?arnumber=7821013

Cited by 119 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. Benchmarking Joint Face Spoofing and Forgery Detection With Visual and Physiological Cues;IEEE Transactions on Dependable and Secure Computing;2024-09

2. CA-MoEiT: Generalizable Face Anti-spoofing via Dual Cross-Attention and Semi-fixed Mixture-of-Expert;International Journal of Computer Vision;2024-06-15

3. Lightweight 3D-StudentNet for defending against face replay attacks;Signal, Image and Video Processing;2024-06-13

4. CSDG-FAS: Closed-Space Domain Generalization for Face Anti-spoofing;International Journal of Computer Vision;2024-05-28

5. Hybrid Deep Neural Network for Face Liveness Detection in Real-Time Video;2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST);2024-05-15

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