Lightweight skeleton-based action recognition model based on global–local feature extraction and fusion

This publication has 35 references indexed in Scilit:

• Enhanced spatial–temporal dynamics in pose forecasting through multi-graph convolution networks
  International Journal of Machine Learning and Cybernetics, 2024
• Multiple Input Branches Shift Graph Convolutional Network with DropEdge for Skeleton-Based Action Recognition
  2022
• Skeleton-Based ST-GCN for Human Action Recognition With Extended Skeleton Graph and Partitioning Strategy
  IEEE Access, 2022
• SparseShift-GCN: High precision skeleton-based action recognition
  Pattern Recognition Letters, 2022
• Lightweight Long and Short-Range Spatial-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
  IEEE Access, 2021
• Human action recognition using short-time motion energy template images and PCANet features
  Neural Computing and Applications, 2020
• An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
  2019
• Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
  2019
• Action recognition with motion map 3D network
  Neurocomputing, 2018
• NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
  2016