X-Invariant Contrastive Augmentation and Representation Learning for Semi-Supervised Skeleton-Based Action Recognition

Author:

Xu Binqian1,Shu Xiangbo1ORCID,Song Yan1ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference67 articles.

1. Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks;lee;Proc Int Council Machinery Lubrication Workshops,0

2. Semi-supervised learning by entropy minimization;grandvalet;Proc Int Conf Neural Inf Process Syst (NeurlPS),2005

3. 3D Human Action Representation Learning via Cross-View Consistency Pursuit

4. Contrastive self-supervised learning for skeleton action recognition;gao;Proc Neural Inf Process Syst Workshops (NeurlPS),2021

5. Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

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