CrackGeoFM is a multi-task framework that adapts a frozen visual foundation model with FCEM, CFAM, and SMTD modules for crack mask prediction, skeleton reconstruction, and uncertainty estimation, reporting SOTA results across 20 datasets including few-shot settings.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CAT framework reports 99.54% pixel-level AUROC on KolektorSDD2 with claimed superior generalization to three unseen defect datasets.
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Multi-Task Crack Foundation Model for Engineering-Reliable Crack Representation and Topology Preservation in Civil Infrastructure
CrackGeoFM is a multi-task framework that adapts a frozen visual foundation model with FCEM, CFAM, and SMTD modules for crack mask prediction, skeleton reconstruction, and uncertainty estimation, reporting SOTA results across 20 datasets including few-shot settings.
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Contrastive Augmented Transformer with Domain-specific Enhancement for Robust Multi-scenario Metal Surface Defect Detection
CAT framework reports 99.54% pixel-level AUROC on KolektorSDD2 with claimed superior generalization to three unseen defect datasets.