On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
Author:
Funder
Office of the Director
Intelligence Advanced Research Projects Activity
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9484326/9484328/09484333.pdf?arnumber=9484333
Cited by 62 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. Comprehensive comparison between vision transformers and convolutional neural networks for face recognition tasks;Scientific Reports;2024-09-13
2. Benchmarking Joint Face Spoofing and Forgery Detection With Visual and Physiological Cues;IEEE Transactions on Dependable and Secure Computing;2024-09
3. Spoofify: A Hybrid Anti-Spoofing Facial Recognition System;2024-06-24
4. Face antispoofing method based on single-modal and lightweight network;Journal of Electronic Imaging;2024-06-17
5. CA-MoEiT: Generalizable Face Anti-spoofing via Dual Cross-Attention and Semi-fixed Mixture-of-Expert;International Journal of Computer Vision;2024-06-15
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