DCUFormer: Enhancing pavement crack segmentation in complex environments with dual-cross/upsampling attention

Shan, J., Huang, Y. orcid.org/0000-0002-1220-6896 and Jiang, W. (2025) DCUFormer: Enhancing pavement crack segmentation in complex environments with dual-cross/upsampling attention. Expert Systems with Applications, 264. 125891. ISSN 0957-4174

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Item Type: Article
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This is an author produced version of an article published in Expert Systems with Applications, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Pavement crack; Vision transformer; Semantic segmentation; Feature upsampling
Dates:
  • Published: 10 March 2025
  • Published (online): 23 November 2024
  • Accepted: 20 November 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Dec 2024 18:47
Last Modified: 20 Dec 2024 12:15
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.eswa.2024.125891
Open Archives Initiative ID (OAI ID):

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