Road crack segmentation using an attention residual U-Net with generative adversarial

Road crack segmentation using an attention residual U-Net with generative adversarial

This paper proposed an end-to-end road crack segmentation model based on attention mechanism and deep FCN with generative adversarial learning. We create a segmentation network by introducing a visual attention mechanism and residual module to a fully convolutional network(FCN) to capture richer loc...

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Bibliographic Details
Main Authors: Xing Hu, Minghui Yao, Dawei Zhang
Format: Article
Language:English
Published: AIMS Press 2021-11-01
Series:Mathematical Biosciences and Engineering
Subjects:
road crack segmentation
attention residual u-net
adversarial learning
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2021473?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/mbe.2021473?viewType=HTML

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