Content-Based Image Retrieval for Construction Site Images: Leveraging Deep Learning–Based Object Detection-Reference-Cited by-同舟云学术

Content-Based Image Retrieval for Construction Site Images: Leveraging Deep Learning–Based Object Detection

Published:2023-11 Issue:6 Volume:37 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Wang Yiheng¹,Xiao Bo²^ORCID,Bouferguene Ahmed³,Al-Hussein Mohamed⁴^ORCID,Li Heng⁵

Affiliation:

1. Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3.

2. Assistant Professor, Dept. of Civil, Environmental, and Geospatial Engineering, Michigan Technological Univ., 1400 Townsend Dr., Houghton, MI 49931 (corresponding author). ORCID: .

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6C 4G9.

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3. ORCID: .

5. Chair Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-5473

Reference74 articles.

1. Content-Based Search Engines for construction image databases

2. Material-Based Construction Site Image Retrieval

3. Shape-Based Retrieval of Construction Site Photographs

4. Cakir F. K. He X. Xia B. Kulis and S. Sclaroff. 2019. “Deep metric learning to rank.” In Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition 1861–1870. New York: IEEE.

5. Automated excavators activity recognition and productivity analysis from construction site surveillance videos

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