Mar 4, 2020 · The proposed method uses the classical segmentation network U-net as the backbone network and embeds a lightweight global context block in the U ...
We describe an approach to image segmentation based on a two-layer module that is executed until a good segmentation is achieved, providing an evolution of ...
A novel road crack image segmentation approach based on U-net and global context block that can effectively model global context information to process the ...
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In this paper, we present a novel road crack image segmentation approach based on U-net and global context block. The proposed method uses the classical ...
May 6, 2023 · [6] proposed a crack detection method in which the discriminative features are learned directly from raw image patches using the ConvNets. Allen ...
May 31, 2024 · The traditional road crack identification uses three steps of image denoising, image enhancement and image segmentation to extract pavement ...
Mar 2, 2023 · To address this draw- back, we present a few-shot learning paradigm for the auto- mated segmentation of road cracks, which is based on a U-. Net ...
Apr 16, 2024 · Global contextual information and local information are crucial for the segmentation of coal rock fractures. For global information, most ...
The successful application of U-Net in biomedical image segmentation has demonstrated its ability to achieve more accurate results with fewer training images ...
Digital image processing techniques have been successfully applied to detect distress in transportation infrastructures [7]. This methodology involves two key ...