Applying fully convolutional neural networks for corrosion semantic segmentation for steel bridges: The use of U-Net-Reference-Cited by-同舟云学术

Applying fully convolutional neural networks for corrosion semantic segmentation for steel bridges: The use of U-Net

Published:2021-04-19 Issue: Volume: Page:341-346
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Container-title:Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations
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Author:

Chen S.-K.,Huang I-F.,Chen P.-H.

Publisher

CRC Press

Reference1 articles.

1. Heng-Kuang Shen , “Automatic Color Image Recognition for Steel Bridge Rust Defects Assessment”, Department of Civil Engineering College of Engineering National Taiwan University Doctoral Dissertation, 2013.

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