AI RESEARCH
IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning
arXiv CS.CV
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ArXi:2605.01668v1 Announce Type: new Dense temporal annotation of procedural activity videos is vital for action understanding and embodied intelligence but remains labor-intensive due to reactive tools. Each correction is treated as an isolated edit, limiting reuse of information on annotator uncertainty and model reliability. We