Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?

Jianyang Xie, Yitian Zhao, Yanda Meng +3

Spatial-temporal graph convolutional networks (ST-GCNs) showcase impressive performance in skeleton-based human action recognition (HAR). However, despite the development of numero…