Multi-Granularity Anchor-Contrastive Representation Learning for Semi-Supervised Skeleton-Based Action Recognition
Author:
Affiliation:
1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
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/ielx7/34/10120646/09954217.pdf?arnumber=9954217
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