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Relation-mining self-attention network for skeleton-based human action recognition

  • Published:2023-07 Issue: Volume:139 Page:109455
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Gedamu KumieORCID,Ji Yanli,Gao LingLing,Yang Yang,Shen Heng Tao

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

1. Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network;Si;Pattern Recognit.,2020

2. A large-scale RGB-D database for arbitrary-view human action recognition;Ji,2018

3. Enhanced skeleton visualization for view invariant human action recognition;Liu;Pattern Recognit.,2017

4. NTU RGB+ D 120: a large-scale benchmark for 3D human activity understanding;Liu;IEEE Trans. Pattern Anal. Mach. Intell.,2019

5. Spatial temporal graph convolutional networks for skeleton-based action recognition;Yan,2018

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