De-biasing Skeleton-Based Action Recognition with Convex Hull Adaptive Shift
This work proposes a Convex Hull Adaptive Shift based normalization method to reduce Entity bias (CHASE), improving performance across a variety of skeleton-based action and interaction recognition tasks and demonstrates compatibility with various intra-skeleton modalities, highlighting its adaptability.
Meng-Yuan Liu, Yuhang Wen, Yi Zhang et al.
· International Journal of Com... · 0 citations