Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors
arXiv:2604.17914v1 Announce Type: new
Abstract: Self-supervised contrastive learning has emerged as a powerful paradigm for skeleton-based action recognition by enforcing consistency in the embedding space. However, existing methods rely on binary con…