Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing-Reference-Cited by-同舟云学术

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Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Stehouwer Joel,Jourabloo Amin,Liu Yaojie,Liu Xiaoming

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142308/9156271/09157534.pdf?arnumber=9157534

Cited by 22 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. CA-MoEiT: Generalizable Face Anti-spoofing via Dual Cross-Attention and Semi-fixed Mixture-of-Expert;International Journal of Computer Vision;2024-06-15

2. Quality-Invariant Domain Generalization for Face Anti-Spoofing;International Journal of Computer Vision;2024-06-06

3. Surveillance Face Anti-Spoofing;IEEE Transactions on Information Forensics and Security;2024

4. Multi-domain mixup for scenario-universal face anti-spoofing;Computers & Graphics;2023-11

5. Texture, Quality, and Motion-Based Analysis for Face Spoofing Detection System: A Review;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01

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