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Cited by 384Human Pose and Action RecognitionHand Gesture Recognition SystemsHuman Motion and Animation

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Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition

Cheng, Ke, Zhang, Yifan, Cao, Congqi, Shi, Lei, Cheng, Jian, Lu, Hanqing·2020·Lecture Notes in Computer Science
DOI 10.1007/978-3-030-58586-0_32
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Metadata

Authors
Cheng, K., Zhang, Y., Cao, C., Shi, L., Cheng, J., & Lu, H.
Affiliations
  • Chinese Academy of Sciences (CN)
  • Northwestern Polytechnical University (CN)
Corresponding author
Zhang, Yifan
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2020
Pages
536-553
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-030-58586-0_32
OpenAlex
W3108496296
Cited by
384
References
3
Citations by year
2026: 26 · 2025: 71 · 2024: 100 · 2023: 101 · 2022: 59 · 2021: 26 · 2020: 1
FWCI
14.22
Type
conference paper
Language
en
Open access
closed
Licence
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
  • Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Human Motion and Animation
Keywords
skeleton-based action recognition, graph convolutional networks, overfitting

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