A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects

Author:

Xue Yadong1,Li Yicheng1

Affiliation:

1. Department of Civil Engineering; Tongji University; Shanghai China

Funder

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Reference51 articles.

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3. Deep learning-based crack damage detection using convolutional neural network;Cha;Computer-Aided Civil and Infrastructure Engineering,2017a

4. Autonomous structural visual inspection using region-based deep learning for detecting multiple damage types;Cha;Computer-Aided Civil and Infrastructure Engineering,2017b

5. Automatic road defect detection by textural pattern recognition based on AdaBoost;Cord;Computer-Aided Civil and Infrastructure Engineering,2012

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