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Multi-task crack foundation model for engineering-reliable crack representation and topology preservation in civil infrastructure
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DOI：10.1016/j.autcon.2026.107190.png)
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Abstract
En 中文
• A multi-task foundation model improves crack segmentation across 20 datasets. • Joint mask, skeleton, and uncertainty maps support reliable crack assessment. • Mask-derived skeleton targets preserve crack topology without extra labeling. • High-frequency cues and adapted features improve cross-domain transfer. • Five labeled images enable effective adaptation to new crack inspection domains.
Keywords:
Crack segmentation
Foundation model
Multi-task learning
Topology preservation
Uncertainty estimation
Cross-domain transfer
Infrastructure inspection
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