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Jul 24, 2023 · To detect pavement defects automatically and improve effects, a multiscale mobile attention-based network, which we termed MANet, is proposed to ...
Jul 24, 2023 · To detect pavement defects automatically and improve effects, a multi-scale mobile attention-based network, which we termed MANet, is proposed ...
Missing: Multiscale | Show results with:Multiscale
Jan 27, 2024 · To detect pavement defects automatically and improve effects, a multi-scale mobile attention-based network, which we termed MANet, is proposed ...
To detect pavement defects automatically and improve effects, a multiscale mobile attention-based network, which we termed MANet, is proposed to perform the ...
Jul 24, 2023 · To detect pavement defects automatically and improve effects, a multi-scale mobile attention- based network, which we termed MANet, is proposed ...
... network exhibits promising segmentation performance on pixelwise pavement defect detection and can meet pavement defect detection demands. The contributions ...
This study aims to achieve automatic detection and high-precision segmentation of pavement cracks, enabling the detection of complex cracks. This approach aims ...
Oct 15, 2023 · A multiscale fully convolutional network based on U-Net is proposed to detect cracks, called U-MDN. The network uses U-MDM as the core to ...
Jan 27, 2022 · [15] used a neural network to detect pavement cracks and applied a principal component analysis to classify the detected pavement cracks. The ...
This paper adopts and enhances DeepLabv3+, a popular deep learning framework for semantic image segmentation, for road pavement crack detection. We propose a ...