Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
1, Topology of graph can be learned adaptively; (different samples and different layers have different topology)
2, Second-order information, ie, the lengths and directions of bones, are used for human action recognition;
3, Two stream network to model both the first-order and second-order information;
Adaptive graph convolutional layer
Adjacent matrix is divided into three parts: .
is normal adjacent matrix;
can be optimized by BP algorithm;
is calculated by estimating vertex similarity (as the figure shows below)
means matrix product,
means matrix addition.