Distribution equalization learning mechanism for road crack detection
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DOI: 10.1016/j.neucom.2019.12.057
Abstract: Abstract Visual-based road crack detection becomes a hot research topic over the last decade because of its huge application demands. Road crack detection is actually a special form of salient object detection task, whose objects… read more here.
Keywords: detection; crack detection; distribution equalization; road crack ... See more keywords
Road Crack Detection Using Deep Neural Network Based on Attention Mechanism and Residual Structure
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DOI: 10.1109/access.2022.3233072
Abstract: Intelligent detection of road cracks is crucial for road maintenance and safety. because of the interference of illumination and totally different background factors, the road crack extraction results of existing deep learning ways square measure… read more here.
Keywords: road; network; road crack; detection ... See more keywords
Adaptive Canny and Semantic Segmentation Networks Based on Feature Fusion for Road Crack Detection
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DOI: 10.1109/access.2023.3279888
Abstract: Road cracks, which are a common hazard in pavements throughout the life cycle of a road, can degrade the performance of the road, shorten its service life, and endanger the safety of vehicles. Traditional vision… read more here.
Keywords: road; feature fusion; road crack; crack detection ... See more keywords
BARNet: Boundary Aware Refinement Network for Crack Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3069135
Abstract: Road crack is one of the prominent problems that can frequently occur in highways and main roads. The manual road crack evaluation is laborious, time-consuming, inaccurate, and it has several implementation issues. Conversely, the computer… read more here.
Keywords: crack; network; road crack; barnet boundary ... See more keywords