"A Central Difference Graph Convolutional Operator for Skeleton-Based A" by Shuangyan Miao, Yonghong Hou et al.
This paper proposes a new graph convolutional operator called central difference graph convolution (CDGC) for skeleton based action recognition. It is not only able to aggregate node information like a vanilla graph convolutional operation but also gradient information. Without introducing any additional parameters, CDGC can replace vanilla graph convolution in any existing Graph Convolutional Networks (GCNs). In addition, an accelerated version of the CDGC is developed which greatly improves th...
Graph Convolutional Networks Gcns Graph Convolutional Networks Action Recognition Onvolutional Codes Graph Convolutional Network
Source: uow.edu.au