An Efficient Training Approach for Very Large Scale Face Recognition-Reference-Cited by-同舟云学术

An Efficient Training Approach for Very Large Scale Face Recognition

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Wang Kai¹,Wang Shuo²,Zhang Panpan¹,Zhou Zhipeng²,Zhu Zheng³,Wang Xiaobo⁴,Peng Xiaojiang⁵,Sun Baigui²,Li Hao²,You Yang¹

Affiliation:

1. National University of Singapore

2. Alibaba Group

3. Tsinghua University

4. Institute of Automation, Chinese Academy of Sciences

5. Shenzhen Technology University

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878742.pdf?arnumber=9878742

Reference53 articles.

1. Mask Aware Network for Masked Face Recognition in the Wild

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4. Deeply learned face representations are sparse, selective, and robust

5. Improved deep metric learning with multi-class n-pair loss objective;sohn;Proceedings of the 30th Inter-national Conference on Neural Information Processing Systems,0

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