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Detection and Effectiveness of Improved Drainage Pipe Defects–Based Semantic Segmentation Labeling Methods

dc.contributor.authorWang, Junling
dc.contributor.authorWang, Chenchen
dc.contributor.authorLiu, Yanhong
dc.contributor.authorZhang, Xianguo
dc.contributor.authorHuang, Jinyu
dc.date.accessioned2026-08-20T12:05:33Z
dc.date.available2026-08-20T12:05:33Z
dc.date.copyright2025/07/02
dc.date.issued2025
dc.identifier.otherJPSEA2.PSENG-1898.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313086
dc.description.abstractAbstractThis study investigates how to optimize and improve defect sample labeling techniques using 15 different types of drainage pipe flaws. The link between the overall labeling approach and model performance is not fully taken into account by ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDetection and Effectiveness of Improved Drainage Pipe Defects–Based Semantic Segmentation Labeling Methods
dc.typeJournal Article
dc.journal.volume16
dc.journal.issue4
dc.journal.titleJournal of Pipeline Systems Engineering and Practice
dc.identifier.doi10.1061/JPSEA2.PSENG-1898
dc.journal.fristpage04025067-1
dc.journal.lastpage04025067-9
dc.page9
dc.treeJournal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004
dc.contenttypeFulltext


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