Concrete bridge surface damage detection using a single‐stage detector-Reference-Cited by-同舟云学术

Concrete bridge surface damage detection using a single‐stage detector

Published:2019-10-03 Issue:4 Volume:35 Page:389-409
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Zhang Chaobo¹,Chang Chih‐chen¹,Jamshidi Maziar¹

Affiliation:

1. Department of Civil and Environmental EngineeringHong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12500

Reference80 articles.

1. Factors of Transferability for a Generic ConvNet Representation

2. Ba J. L. Kiros J. R. &Hinton G. E.(2016).Layer normalization. Retrieved fromhttps://arxiv.org/abs/1607.06450/

3. Pattern Recognition and Machine Learning

4. Brownlee J.(2017).What is the difference between test and validation datasets.Machine learning process. Retrieved fromhttps://machinelearningmastery.com/difference-test-validation-datasets/

5. Brownlee J.(2018).A gentle introduction to K‐fold cross‐validation.Statistical methods. Retrieved fromhttps://machinelearningmastery.com/k-fold-cross-validation/

Cited by 216 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visualization analysis of concrete crack detection in civil engineering infrastructure based on knowledge graph;Case Studies in Construction Materials;2024-12

2. Artificial intelligence in structural health management of existing bridges;Automation in Construction;2024-11

3. A novel MO-YOLOv4 for segmentation of multi-class bridge damages;Advanced Engineering Informatics;2024-10

4. Multidamage Identification in High-Resolution Concrete Bridge Component Imagery Based on Deep Learning;Journal of Performance of Constructed Facilities;2024-10

5. Deep learning for automated multiclass surface damage detection in bridge inspections;Automation in Construction;2024-10