Self-Attention Generative Distribution Adversarial Network for Few- and Zero-Shot Face Anti-Spoofing-Reference-Cited by-同舟云学术

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Self-Attention Generative Distribution Adversarial Network for Few- and Zero-Shot Face Anti-Spoofing

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Joint Conference on Biometrics (IJCB)
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Author:

Nguyen Son Minh¹,Tran Linh Duy²,Le Duc Viet¹,Masayuki Arai²

Affiliation:

1. Teikyo University

2. University of Twente

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10007927/10007928/10007986.pdf?arnumber=10007986

Reference29 articles.

1. Deep Tree Learning for Zero-Shot Face Anti-Spoofing

2. Unknown Presentation Attack Detection with Face RGB Images

3. Searching Central Difference Convolutional Networks for Face Anti-Spoofing

4. Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing

5. Deep anomaly detection for general-ized face anti-spoofing;pérez-cabo;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops,0

Cited by 3 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. Open-Set Single-Domain Generalization for Robust Face Anti-Spoofing;International Journal of Computer Vision;2024-06-03

2. Dynamic Residual Distillation Network for Face Anti-Spoofing With Feature Attention Learning;IEEE Transactions on Biometrics, Behavior, and Identity Science;2023-10

3. Self-Attention and MLP Auxiliary Convolution for Face Anti-Spoofing;IEEE Access;2023

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