HQ2CL: A High-Quality Class Center Learning System for Deep Face Recognition-Reference-Cited by-同舟云学术

HQ2CL: A High-Quality Class Center Learning System for Deep Face Recognition

Published:2022 Issue: Volume:31 Page:5359-5370
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Lv Xianwei¹^ORCID,Yu Chen¹^ORCID,Jin Hai¹^ORCID,Liu Kai²

Affiliation:

1. Services Computing Technology and System Laboratory, the Big Data Technology and System Laboratory, and the Cluster and Grid Computing Laboratory, National Engineering Research Center for Big Data Technology and System, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China

2. Farsee2 Technology Company Ltd., Wuhan, Hubei, China

Funder

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09852153.pdf?arnumber=9852153

Reference48 articles.

1. Orthogonality Loss: Learning Discriminative Representations for Face Recognition

2. RegularFace: Deep Face Recognition via Exclusive Regularization

3. A discriminative feature learning approach for deep face recognition;wen;Proc Eur Conf Comput Vis,2016

4. FaceNet: A unified embedding for face recognition and clustering

5. NormFace

Cited by 2 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. Improving the transferability of adversarial attacks via self-ensemble;Applied Intelligence;2024-08-22

2. Face Recognition for Automatic Border Control: A Systematic Literature Review;IEEE Access;2024