Segmentation of Semisupervised Bridge and Road Defects Based on Joint Consistency Regularization in Spatial and Frequency Domains

dc.contributor.author	Li, Shanwei
dc.contributor.author	Zhao, Yan
dc.contributor.author	Ma, Jiaqian
dc.contributor.author	Chen, Mo
dc.contributor.author	Wang, Shigang
dc.contributor.author	Wei, Jian
dc.date.accessioned	2026-08-20T21:25:05Z
dc.date.available	2026-08-20T21:25:05Z
dc.date.copyright	2026/01/22
dc.date.issued	2026
dc.identifier.other	JCCEE5.CPENG-6711.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314419
dc.description.abstract	AbstractThe defects of the bridge and road are the main factors that affect their use and safety. However, given the scarcity of extensive labeled datasets in this field, semisupervised approaches, which require less dependence on annotated data, have ...
dc.publisher	American Society of Civil Engineers
dc.title	Segmentation of Semisupervised Bridge and Road Defects Based on Joint Consistency Regularization in Spatial and Frequency Domains
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	3
dc.journal.title	Journal of Computing in Civil Engineering
dc.identifier.doi	10.1061/JCCEE5.CPENG-6711
dc.journal.fristpage	04026005-1
dc.journal.lastpage	04026005-17
dc.page	17
dc.tree	Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
dc.contenttype	Fulltext