Two Stream Multi-Attention Graph Convolutional Network for Skeleton-Based Action Recognition

Huijian Zhou; Zhiqiang Tian; Shaoyi Du

doi:10.1007/978-981-99-9109-9_11

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Two Stream Multi-Attention Graph Convolutional Network for Skeleton-Based Action Recognition

Huijian Zhou Zhiqiang Tian Shaoyi Du

Year: 2024 Communications in computer and information science Pages: 112-120 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-9109-9_11

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Keywords:

Computer science Pooling Benchmark (surveying) Graph Convolutional neural network RGB color model Artificial intelligence FLOPS Action recognition Pattern recognition (psychology) Theoretical computer science Parallel computing

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Two Stream Multi-Attention Graph Convolutional Network for Skeleton-Based Action Recognition

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