Boundary-Centric Active Learning for Temporal Action Segmentation
arXiv:2604.15173v1 Announce Type: new
Abstract: Temporal action segmentation (TAS) demands dense temporal supervision, yet most of the annotation cost in untrimmed videos is spent identifying and refining action transitions, where segmentation errors …