Multiscale Dynamic Graph Representation for Biometric Recognition With Occlusions-Reference-Cited by-同舟云学术

Multiscale Dynamic Graph Representation for Biometric Recognition With Occlusions

Published:2023-12 Issue:12 Volume:45 Page:15120-15136
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Ren Min¹^ORCID,Wang Yunlong²^ORCID,Zhu Yuhao³^ORCID,Zhang Kunbo²^ORCID,Sun Zhenan²^ORCID

Affiliation:

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

2. Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Postgraduate Department, China Academy of Railway Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shenzhen Technology Plan Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10193782.pdf?arnumber=10193782

Reference61 articles.

1. Face recognition under partial occlusion and noise

2. Learning Combinatorial Embedding Networks for Deep Graph Matching

3. ArcFace: Additive Angular Margin Loss for Deep Face Recognition

4. Deep Learning of Graph Matching

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

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