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