Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
Skeleton-based human action recognition has attracted much attention with the prevalence of accessible depth sensors. Recently, graph convolutional networks (GCNs) have been widely used for this task due to their powerful capability to model graph data. The topology of the adjacency graph is a key factor for modeling the correlations …