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    Unsupervised Domain Adaptation Approach for Vision-Based Semantic Understanding of Bridge Inspection Scenes without Manual Annotations 

    Source: Journal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 002:;page 04023118-1
    Author(s): Yasutaka Narazaki; Wendong Pang; Gaoang Wang; Wenhao Chai
    Publisher: ASCE
    Abstract: Deep learning-based (DL) visual recognition algorithms are widely investigated to enhance the accuracy, efficiency, and objectivity of the bridge inspection process, which is largely manual today. These algorithms typically ...
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