AI RESEARCH

Live Interactive Training for Video Segmentation

arXiv CS.CV

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