Multi-Scale Spatial Temporal Graph Neural Network for Skeleton-Based Action Recognition

Multi-Scale Spatial Temporal Graph Neural Network for Skeleton-Based Action Recognition

Graph convolutional networks (GCNs) have achieved remarkable performance on skeleton-based action recognition. Existing GCN-based methods usually apply the fixed graph topology and one fixed temporal convolution kernel to extract the spatial features of joints and temporal features, which is from a...

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Bibliographic Details
Main Authors: Dong Feng, Zhongcheng Wu, Jun Zhang, Tingting Ren
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Skeleton-based action recognition
multi-scale
spatial-temporal network
graph convolutional network
adaptive fusion
Online Access:https://ieeexplore.ieee.org/document/9404175/

Internet

https://ieeexplore.ieee.org/document/9404175/

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