BPA-STGCN: Body-Part-Aware Spatio-Temporal Graph Convolutional Network for Stable Skeleton-Based Action Recognition
Skeleton-based action recognition via graph convolutional networks (GCNs) has achieved remarkable progress, yet two persistent bottlenecks limit practical deployment: (1) systematic confusion among fine-grained actions that differ primarily in hand or finger movements, which the standard 25-joint skeleton cannot disamb...