Article

Generalising Hybrid OUR-Net -U-Net for Accurate Identification and Multi-Domain Structural Crack Segmentation Using Refinement Techniques

2026-08-20

Abstract excerpt

<title>Abstract</title> <p>Structural crack detection is essential for civil infrastructure to be safe, long-lasting, and sustainable. Conventional manual inspection techniques are laborious, arbitrary, and prone to human errors, especially in the large-scale construction settings. Deep learning-based segmentation models have significantly improved the crack detection performance, but most methods rely on strongl...

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Literature Corpus work: 92f2e05f-24c2-5b77-a5c6-b659b048fde8
DOI: 10.21203/rs.3.rs-10494076/v1

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Generalising Hybrid OUR-Net -U-Net for Accurate Identification and Multi-Domain Structural Crack Segmentation Using Refinement TechniquesDOI 10.21203/rs.3.rs-10494076/v1Read

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