LARNeXt: End-to-End Lie Algebra Residual Network for Face Recognition-Reference-Cited by-同舟云学术

LARNeXt: End-to-End Lie Algebra Residual Network for Face Recognition

Published:2023-10 Issue:10 Volume:45 Page:11961-11976
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Yang Xiaolong¹^ORCID,Jia Xiaohong¹^ORCID,Gong Dihong²^ORCID,Yan Dong-Ming³^ORCID,Li Zhifeng²^ORCID,Liu Wei²^ORCID

Affiliation:

1. Academy of Mathematics and Systems Science of the Chinese Academy of Sciences, University of Chinese Academy of Sciences, Huairou, China

2. Tencent Data Platform, ShenZhen, China

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

Funder

National Key Research and Development Program of China

CAS Project for Young Scientists in Basic Research

National Natural Science Foundation of China

Tencent AI Lab Rhino-Bird Focused Research 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/ielx7/34/10241246/10143393.pdf?arnumber=10143393

Reference103 articles.

1. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

2. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis

3. Learning face representation from scratch;yi,2014

4. MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

5. Frontal to profile face verification in the wild

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