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CSADnet: Attention-Based Semantic Segmentation Method for Spraying Scene Images of Building Gables

dc.contributor.authorMa, Junyan
dc.contributor.authorZhao, Yunlong
dc.contributor.authorZheng, Duan
dc.contributor.authorLiao, Xiaoping
dc.contributor.authorLu, Juan
dc.date.accessioned2026-08-20T21:35:13Z
dc.date.available2026-08-20T21:35:13Z
dc.date.copyright2025/06/09
dc.date.issued2025
dc.identifier.otherJCEMD4.COENG-16421.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314693
dc.description.abstractAbstractAccurate and efficient detection of spray-painted regions and boundary delineations on building gables is crucial for promoting automated construction processes. External wall spraying robots rely on robust environmental perception. However, ...
dc.publisherAmerican Society of Civil Engineers
dc.titleCSADnet: Attention-Based Semantic Segmentation Method for Spraying Scene Images of Building Gables
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue8
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-16421
dc.journal.fristpage04025109-1
dc.journal.lastpage04025109-14
dc.page14
dc.treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008
dc.contenttypeFulltext


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