Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing-Reference-Cited by-同舟云学术

Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Wang Yu-Chun¹,Wang Chien-Yi²,Lai Shang-Hong¹

Affiliation:

1. National Tsing Hua University

2. Microsoft AI R&D Center,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9706406/9706408/09706972.pdf?arnumber=9706972

Reference35 articles.

1. Face Anti-Spoofing via Disentangled Representation Learning

2. Nasfas: Static-dynamic central difference network search for face anti-spoofing;yu,2020

3. Multi-Modal Face Anti-Spoofing Based on Central Difference Networks

4. Face Anti-Spoofing with Human Material Perception

5. Oulunpu: a mobile face presentation attack database with real-world variations;zinelabidine;Proc IEEE Int Conf on Identity Security and Behavior Analysis ISBA,2017

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