arXiv: cs.AI preprintsInternational6 November 2026
BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation
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arXiv:2603.10828v2 Announce Type: replace-cross Abstract: The Segment Anything Model (SAM) has revolutionized interactive segmentation through spatial prompting. While existing work primarily focuses on automating prompts in various settings, real-world annotation workflows involve iterative refinement where annotators observe model outputs and strategically place prompts to resolve ambiguities. Current pipelines typically rely on the annotator's visual assessment of the predicted mask quality. We postulate that a principled approach for automated interactive prompting is to use a model-derive
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