SOURCE-LINKED INTELLIGENCE
CoRe-SAM3: Conditional Semantic--Visual Reconciliation for SAM3 Crack Segmentation
Crack segmentation requires a model to recognize target semantics while accurately recovering thin, low-contrast, and topologically continuous local structures. Although SAM3 provides strong open-concept segmentation, its direct application to the crack domain still misses weak cracks, activates crack-like background regions, and produces local boundary errors. We first diagnose the functional differences between the internal prompt-conditioned semantic representation and native visual representation of SAM3 on five crack datasets. The results show that the semantic representation already carr
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-05T02:25:44.000Z
First collected: 2026-09-20T21:32:07.623Z. This is not the publication date.