AI RESEARCH
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
arXiv CS.CV
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ArXi:2506.23104v2 Announce Type: replace Interactive segmentation (IS) allows users to iteratively refine object boundaries with minimal cues, such as positive and negative clicks. While the Segment Anything Model (SAM) has garnered attention in the IS community for its promptable segmentation capabilities, it often struggles in specialized domains or when handling complex scenarios (e.g., camouflaged or multi-part objects