Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning

Published:2018-03 Issue:2 Volume:32 Page:04017082
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Kim Hongjo¹,Kim Hyoungkwan²,Hong Yong Won³,Byun Hyeran⁴

Affiliation:

1. Ph.D. Candidate, School of Civil and Environmental Engineering, Yonsei Univ., 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.

2. Professor, School of Civil and Environmental Engineering, Yonsei Univ., 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea (corresponding author).

3. Ph.D. Student, Dept. of Computer Science, Yonsei Univ., 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.

4. Professor, Dept. of Computer Science, Yonsei Univ., 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000731

Reference82 articles.

1. Using digital photogrammetry for pipe-works progress tracking1This paper is one of a selection of papers in this Special Issue on Construction Engineering and Management.

2. The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components

3. Progressive 3D reconstruction of infrastructure with videogrammetry

4. Automated vision tracking of project related entities

5. Material-Based Construction Site Image Retrieval

Cited by 180 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. Predicting trucking accidents with truck drivers’ safety climate perception: An in-depth evaluation of the pretrain-then-finetune approach;Transportation Research Part F: Traffic Psychology and Behaviour;2024-10

2. Image generation of hazardous situations in construction sites using text-to-image generative model for training deep neural networks;Automation in Construction;2024-10

3. AIDCON: An Aerial Image Dataset and Benchmark for Construction Machinery;Remote Sensing;2024-09-05

4. Leveraging convolutional neural networks for efficient classification of heavy construction equipment;Asian Journal of Civil Engineering;2024-09-05

5. Challenges of Automating Interior Construction Progress Monitoring;Journal of Construction Engineering and Management;2024-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3