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FIS-OT: Feature-Induced Optimal Transport for Unsupervised Action Segmentation
Unsupervised action segmentation is a challenging task. It involves finding action categories and boundaries in videos without labels. Existing Optimal Transport (OT) methods use global constraints. This causes them to overlook the use of local information. Furthermore, existing Optimal transport ar
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