Multi Scale Temporal Graph Networks For Skeleton-based Action Recognition

Understand

Graph convolutional networks (GCNs) can effectively capture the features of related nodes and improve the performance of the model.

• More attention is paid to employing GCN in Skeleton-Based action recognition.
• But existing methods based on GCNs have two problems.
• First, the consistency of temporal and spatial features is ignored for extracting features node by node and frame by frame.