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University of Technology Nuremberg Point Scribble Coarse
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SAM, designed for instance segmentation, can be surprisingly effective for semantic segmentation with weak supervision when adapted with techniques like skeleton-based prompting and iterative pseudo-label refinement.
Forget salient cues – now you can *steer* visual representations in ViTs with language, focusing on any object you want without hurting overall performance.
