Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition

Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition

Graph convolutional networks are widely used in skeleton-based action recognition because of their good fitting ability to non-Euclidean data. While conventional multi-scale temporal convolution uses several fixed-size convolution kernels or dilation rates at each layer of the network, we argue that...

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Bibliographic Details
Main Authors: Haiping Zhang, Xinhao Zhang, Dongjin Yu, Liming Guan, Dongjing Wang, Fuxing Zhou, Wanjun Zhang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
action recognition
graph convolutional networks
feature fusion
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/23/12/5414

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https://www.mdpi.com/1424-8220/23/12/5414

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