Multiscale Dynamic Attention and Transformer-Driven Interactive Multifeature Fusion Approach for Advanced Crack Detection and Segmentation

dc.contributor.author	Zaheer, Qasim
dc.contributor.author	Atta, Zunaira
dc.contributor.author	Ehsan, Haleema
dc.contributor.author	Malik, Momina
dc.contributor.author	Shah, Syed Rehan
dc.contributor.author	Long, Xu
dc.date.accessioned	2026-08-20T11:12:29Z
dc.date.available	2026-08-20T11:12:29Z
dc.date.copyright	2026/06/03
dc.date.issued	2026
dc.identifier.other	JITSE4.ISENG-2912.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4311845
dc.description.abstract	AbstractSalient Object Detection is a key preprocessing technique for identifying prominent regions in images, but its use in pavement surface crack detection is limited due to scale and feature differences. To address this, we introduce the multiscale ...
dc.publisher	American Society of Civil Engineers
dc.title	Multiscale Dynamic Attention and Transformer-Driven Interactive Multifeature Fusion Approach for Advanced Crack Detection and Segmentation
dc.type	Journal Article
dc.journal.volume	32
dc.journal.issue	3
dc.journal.title	Journal of Infrastructure Systems
dc.identifier.doi	10.1061/JITSE4.ISENG-2912
dc.journal.fristpage	04026012-1
dc.journal.lastpage	04026012-19
dc.page	19
dc.tree	Journal of Infrastructure Systems:;2026:;Volume ( 032 ):;issue: 003
dc.contenttype	Fulltext