"Motion saliency based hierarchical attention network for action recogn" by Zihui Guo, Yonghong Hou et al.
Skeleton data is widely used in human action recognition for easy access, computational efficiency and environmental robustness. Recently, encoding skeleton sequences into color images becomes a popular preprocessing procedure to make use of the spatial modeling ability of convolutional neural network (CNN). Furthermore, inspired by relevant work in other fields, attention mechanism has been introduced to CNN based skeleton action recognition. In this paper, we propose a two-branch hierarchical attention model (HAN) for skeleton based action recognition. The proposed model consists of a base b...
Source: uow.edu.au