Understanding Deep Face Representation via Attribute Recovery-Reference-Cited by-同舟云学术

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Understanding Deep Face Representation via Attribute Recovery

Published:2024 Issue: Volume:19 Page:6949-6961
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Ren Min¹^ORCID,Zhu Yuhao²^ORCID,Wang Yunlong³^ORCID,Huang Yongzhen¹^ORCID,Sun Zhenan³^ORCID

Affiliation:

1. School of Artificial Intelligence, Beijing Normal University, Beijing, China

2. Institute of Computing Technologies, China Academy of Railway Sciences Corporation Ltd., Beijing, China

3. State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Shenzhen Technology Plan Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10587012.pdf?arnumber=10587012

Reference54 articles.

1. SphereFace: Deep Hypersphere Embedding for Face Recognition

2. CosFace: Large Margin Cosine Loss for Deep Face Recognition

3. ArcFace: Additive angular margin loss for deep face recognition;Deng;arXiv:1801.07698,2018

4. Towards Interpretable Face Recognition

5. Attacks meet interpretability: Attribute-steered detection of adversarial samples;Tao;arXiv:1810.11580,2018

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