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    Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003:;page 04026020-1
    Author(s): Rostami, Ghodsiyeh; Chen, Po-Han; Hosseini, Mahdi S.
    Publisher: American Society of Civil Engineers
    Abstract: AbstractImage-based crack detection algorithms are increasingly in demand in infrastructure monitoring, as early detection of cracks is of paramount importance for timely maintenance planning. While deep learning has ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian