AI RESEARCH
Live Interactive Training for Video Segmentation
arXiv CS.CV
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ArXi:2603.26929v1 Announce Type: new Interactive video segmentation often requires many user interventions for robust performance in challenging scenarios (e.g., occlusions, object separations, camouflage, etc.). Yet, even state-of-the-art models like SAM2 use corrections only for immediate fixes without learning from this feedback, leading to inefficient, repetitive user effort. To address this, we