MA-UNet model for crack segmentation in concrete structures utilizing Mamba skip connections in multiple scenarios
Concrete structures are prone to cracking during service, which, if left undetected, can lead to severe structural failure. Current deep learning paradigms face significant limitations: Convolutional Neural Networks (CNNs) are constrained by local receptive fields, hindering the capture of global co...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Taylor & Francis Group
2026-04-01
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| Serier: | Journal of Asian Architecture and Building Engineering |
| Fag: | |
| Online adgang: | http://dx.doi.org/10.1080/13467581.2026.2651001 |
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