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    Synthetic-to-Real Domain Adaptation with Virtual Laser Scanning and Self-Training–Based Category-Aware Cuboid Mixing for Semantic Segmentation of Bridge Point Clouds

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002::page 04025148-1
    Author:
    Yang, Xiaofei
    ,
    Fu, Yuguang
    ,
    Kim, Jinwoo
    DOI: 10.1061/JCCEE5.CPENG-6828
    Publisher: American Society of Civil Engineers
    Abstract: AbstractA scarcity of real-world point clouds poses a considerable challenge in training a bridge semantic segmentation model. Although virtual point cloud synthetization offers a promising alternative, the persistent domain gap between synthetic and real-...
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      Synthetic-to-Real Domain Adaptation with Virtual Laser Scanning and Self-Training–Based Category-Aware Cuboid Mixing for Semantic Segmentation of Bridge Point Clouds

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314441
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    contributor authorYang, Xiaofei
    contributor authorFu, Yuguang
    contributor authorKim, Jinwoo
    date accessioned2026-08-20T21:25:55Z
    date available2026-08-20T21:25:55Z
    date copyright2025/11/24
    date issued2026
    identifier otherJCCEE5.CPENG-6828.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314441
    description abstractAbstractA scarcity of real-world point clouds poses a considerable challenge in training a bridge semantic segmentation model. Although virtual point cloud synthetization offers a promising alternative, the persistent domain gap between synthetic and real-...
    publisherAmerican Society of Civil Engineers
    titleSynthetic-to-Real Domain Adaptation with Virtual Laser Scanning and Self-Training–Based Category-Aware Cuboid Mixing for Semantic Segmentation of Bridge Point Clouds
    typeJournal Article
    journal volume40
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6828
    journal fristpage04025148-1
    journal lastpage04025148-17
    page17
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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