AI RESEARCH
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes
arXiv CS.CV
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ArXi:2603.03577v2 Announce Type: replace Detecting and segmenting novel object instances in open-world environments is a fundamental problem in robotic perception. Given only a small set of template images, a robot must locate and segment a specific object instance in a cluttered, previously unseen scene. Existing proposal-based approaches are highly sensitive to proposal quality and often fail under occlusion and background clutter.