AutoCrack: Deep Transformer With Pyramid Pooling for Autonomous Pavement Crack Identification
A frequent problem with engineering constructions such as roads and buildings is surface cracks. The development of deep learning algorithms has significantly enhanced the ability to automatically detect surface cracks. Although recently developed transformer topologies may offer advantages, convolu...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Wiley
2026-01-01
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| Seria: | Applied Computational Intelligence and Soft Computing |
| Dostęp online: | http://dx.doi.org/10.1155/acis/1694742 |
| Etykiety: |
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