See the Change, Keep the Flow: Unsupervised Action Segmentation via Spectral-Temporal Representation Learning
Unsupervised action segmentation aims to discover latent action categories and their temporal organization without action annotations. Optimal transport-based methods provide structured frame-to-action assignments, however, their pseudo-label quality is fundamentally conditioned on the representation space used to cons...