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HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
[article]
2021
arXiv
pre-print
Previous methods for skeleton-based gesture recognition mostly arrange the skeleton sequence into a pseudo picture or spatial-temporal graph and apply deep Convolutional Neural Network (CNN) or Graph Convolutional Network (GCN) for feature extraction. Although achieving superior results, these methods have inherent limitations in dynamically capturing local features of interactive hand parts, and the computing efficiency still remains a serious issue. In this work, the self-attention mechanism
arXiv:2106.13391v1
fatcat:vahfrfkxyvgk3gizv53nvojokm