{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T09:58:58Z","timestamp":1763978338679,"version":"3.41.2"},"reference-count":74,"publisher":"American Society of Civil Engineers (ASCE)","issue":"6","content-domain":{"domain":["ascelibrary.org"],"crossmark-restriction":true},"short-container-title":["J. Comput. Civ. Eng."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1061\/jccee5.cpeng-5473","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T15:15:36Z","timestamp":1694790936000},"update-policy":"https:\/\/doi.org\/10.1061\/do.news.20190416.0001","source":"Crossref","is-referenced-by-count":10,"title":["Content-Based Image Retrieval for Construction Site Images: Leveraging Deep Learning\u2013Based Object Detection"],"prefix":"10.1061","volume":"37","author":[{"given":"Yiheng","family":"Wang","sequence":"first","affiliation":[{"name":"Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0798-8018","authenticated-orcid":true,"given":"Bo","family":"Xiao","sequence":"additional","affiliation":[{"name":"Assistant Professor, Dept. of Civil, Environmental, and Geospatial Engineering, Michigan Technological Univ., 1400 Townsend Dr., Houghton, MI 49931 (corresponding author). ORCID: ."}]},{"given":"Ahmed","family":"Bouferguene","sequence":"additional","affiliation":[{"name":"Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6C 4G9."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1774-9718","authenticated-orcid":true,"given":"Mohamed","family":"Al-Hussein","sequence":"additional","affiliation":[{"name":"Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2R3. ORCID: ."}]},{"given":"Heng","family":"Li","sequence":"additional","affiliation":[{"name":"Chair Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong."}]}],"member":"30","reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2004.11.003"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0887-3801(2005)19:4(341)"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0887-3801(2008)22:1(14)"},{"key":"e_1_3_3_5_1","doi-asserted-by":"crossref","unstructured":"Cakir F. K. He X. Xia B. Kulis and S. Sclaroff. 2019. \u201cDeep metric learning to rank.\u201d In Proc. IEEE\/CVF Conf. on Computer Vision and Pattern Recognition 1861\u20131870. New York: IEEE.","DOI":"10.1109\/CVPR.2019.00196"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2019.103045"},{"key":"e_1_3_3_7_1","doi-asserted-by":"crossref","unstructured":"Dalal N. B. Triggs N. Dalal B. Triggs O. Gradients D. International S. Diego N. Dalal and B. Triggs. 2010. \u201cHistograms of oriented gradients for human detection to cite this version: HAL Id: Inria-00548512 histograms of oriented gradients for human detection.\u201d In Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition 886\u2013893. New York: IEEE.","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_3_3_8_1","doi-asserted-by":"crossref","unstructured":"Deng J. W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. \u201cImagenet: A large-scale hierarchical image database.\u201d In Proc. 2009 IEEE Conf. on Computer Vision and Pattern Recognition 248\u2013255. New York: IEEE.","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2017.11.002"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104169"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2018.01.001"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2019.103013"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dibe.2022.100085"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"e_1_3_3_15_1","doi-asserted-by":"crossref","unstructured":"Gil D. G. Lee and K. Jeon. 2018. \u201cClassification of images from construction sites using a deep-learning algorithm.\u201d In Proc. Int. Symp. on Automation and Robotics in Construction 1\u20136. Banff AB Canada: IAARC Publications.","DOI":"10.22260\/ISARC2018\/0024"},{"key":"e_1_3_3_16_1","doi-asserted-by":"crossref","unstructured":"Girshick R. J. Donahue T. Darrell and J. Malik. 2014. \u201cRich feature hierarchies for accurate object detection and semantic segmentation.\u201d In Proc. 2014 IEEE Conf. on Computer Vision and Pattern Recognition 580\u2013587. New York: IEEE.","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_3_17_1","volume-title":"Deep learning","author":"Goodfellow I.","year":"2016","unstructured":"Goodfellow, I., Y. Bengio, and A. Courville. 2016. Deep learning. Cambridge, MA: MIT Press."},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2018.05.026"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/23311916.2021.1927469"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2016.11.004"},{"key":"e_1_3_3_21_1","doi-asserted-by":"crossref","unstructured":"He K. G. Gkioxari P. Doll\u00e1r and R. Girshick. 2017. \u201cMask r-cnn.\u201d In Proc. IEEE Int. Conf. on Computer Vision 2961\u20132969. New York: IEEE.","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_3_22_1","doi-asserted-by":"crossref","unstructured":"He K. X. Zhang S. Ren and J. Sun. 2016. \u201cDeep residual learning for image recognition.\u201d In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 770\u2013778. New York: IEEE.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_3_23_1","unstructured":"Howard A. G. M. Zhu B. Chen D. Kalenichenko W. Wang T. Weyand M. Andreetto and H. Adam. 2017. \u201cMobileNets: Efficient convolutional neural networks for mobile vision applications.\u201d Preprint submitted April 17 2017. https:\/\/arxiv.org\/abs\/1704.04861."},{"key":"e_1_3_3_24_1","doi-asserted-by":"crossref","unstructured":"Hu B. R.-J. Song X.-S. Wei Y. Yao X.-S. Hua and Y. Liu. 2020. \u201cPyRetri: A PyTorch-based library for unsupervised image retrieval by deep convolutional neural networks.\u201d In Proc. 28th ACM Int. Conf. on Multimedia 4461\u20134464. New York: Association for Computing Machinery.","DOI":"10.1145\/3394171.3414537"},{"key":"e_1_3_3_25_1","unstructured":"Jun H. B. Ko Y. Kim I. Kim and J. Kim. 2020. \u201cCombination of multiple global descriptors for image retrieval.\u201d Preprint submitted March 26 2019. https:\/\/arxiv.org\/abs\/1903.10663."},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.12.014"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CP.1943-5487.0000731"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104443"},{"key":"e_1_3_3_29_1","unstructured":"Kingma D. P. and J. Ba. 2017. \u201cAdam: A method for stochastic optimization.\u201d Preprint submitted December 22 2014. https:\/\/arxiv.org\/abs\/1412.6980."},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0981-7"},{"key":"e_1_3_3_31_1","doi-asserted-by":"crossref","unstructured":"Kulchandani J. S. and K. J. Dangarwala. 2015. \u201cMoving object detection: Review of recent research trends.\u201d In Proc. 2015 Int. Conf. on Pervasive Computing (ICPC) 1\u20135. New York: IEEE.","DOI":"10.1109\/PERVASIVE.2015.7087138"},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/9658350"},{"key":"e_1_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2020.103186"},{"key":"e_1_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2021.103352"},{"key":"e_1_3_3_35_1","doi-asserted-by":"crossref","unstructured":"Lienhart R. and J. Maydt. 2002. \u201cAn extended set of Haar-like features for rapid object detection.\u201d In Proc. Int. Conf. on Image Processing 900\u2013903. New York: IEEE.","DOI":"10.1109\/ICIP.2002.1038171"},{"key":"e_1_3_3_36_1","first-page":"809","volume-title":"Semantic image retrieval and clustering for supporting domain-specific bridge component and defect classification","author":"Liu P. C.-Y.","year":"2020","unstructured":"Liu, P. C.-Y., and N. El-Gohary. 2020. Semantic image retrieval and clustering for supporting domain-specific bridge component and defect classification, 809\u2013818. Reston, VA: ASCE. https:\/\/doi.org\/10.1061\/9780784482858.087."},{"key":"e_1_3_3_37_1","first-page":"21","volume-title":"SSD: Single shot multibox detector","author":"Liu W.","year":"2016","unstructured":"Liu, W., D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Fu, and A. C. Berg. 2016a. SSD: Single shot multibox detector. 21\u201337. Berlin: Springer."},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103535"},{"key":"e_1_3_3_39_1","doi-asserted-by":"crossref","unstructured":"Liu Z. P. Luo S. Qiu X. Wang and X. Tang. 2016b. \u201cDeepFashion: Powering robust clothes recognition and retrieval with rich annotations.\u201d In Proc. IEEE Conf. on Computer Vision and Pattern Recognition 1096\u20131104. New York: IEEE.","DOI":"10.1109\/CVPR.2016.124"},{"key":"e_1_3_3_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101417"},{"key":"e_1_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.3390\/buildings12060809"},{"key":"e_1_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"e_1_3_3_43_1","doi-asserted-by":"publisher","DOI":"10.1061\/9780784482438.009"},{"key":"e_1_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.3389\/fbuil.2020.00097"},{"key":"e_1_3_3_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103940"},{"key":"e_1_3_3_46_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CP.1943-5487.0000740"},{"key":"e_1_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2846566"},{"key":"e_1_3_3_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65407-8_31"},{"key":"e_1_3_3_49_1","unstructured":"Ramzi E. N. Thome C. Rambour N. Audebert and X. Bitot. 2021. \u201cRobust and decomposable average precision for image retrieval.\u201d Preprint submitted October 1 2021. https:\/\/arxiv.org\/abs\/2110.01445."},{"key":"e_1_3_3_50_1","doi-asserted-by":"crossref","unstructured":"Redmon J. S. Divvala R. Girshick and A. Farhadi. 2016. \u201cYou only look once: Unified real-time object detection.\u201d In Proc. 2016 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 779\u2013788. New York: IEEE.","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_3_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"e_1_3_3_52_1","unstructured":"Simonyan K. and A. Zisserman. 2014. \u201cVery deep convolutional networks for large-scale image recognition.\u201d Preprint submitted September 4 2014. https:\/\/arxiv.org\/abs\/1409.1556."},{"key":"e_1_3_3_53_1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470432846"},{"key":"e_1_3_3_54_1","doi-asserted-by":"crossref","unstructured":"Song H. O. Y. Xiang S. Jegelka and S. Savarese. 2016. \u201cDeep metric learning via lifted structured feature embedding.\u201d In Proc. IEEE Conf. on Computer Vision and Pattern Recognition. New York: IEEE.","DOI":"10.1109\/CVPR.2016.434"},{"key":"e_1_3_3_55_1","doi-asserted-by":"crossref","unstructured":"Szegedy C. W. Liu Y. Jia P. Sermanet S. Reed D. Anguelov D. Erhan V. Vanhoucke and A. Rabinovich. 2015. \u201cGoing deeper with convolutions.\u201d In Proc. 2015 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 1\u20139. New York: IEEE.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_3_56_1","doi-asserted-by":"crossref","unstructured":"Teh E. W. T. DeVries and G. W. Taylor. 2020. \u201cProxyNCA++: Revisiting and revitalizing proxy neighborhood component analysis.\u201d In Proc. Computer Vision\u2013ECCV 2020: 16th European Conf. 448\u2013464. Berlin: Springer.","DOI":"10.1007\/978-3-030-58586-0_27"},{"key":"e_1_3_3_57_1","unstructured":"Tolias G. R. Sicre and H. J\u00e9gou. 2016. \u201cParticular object retrieval with integral max-pooling of CNN activations.\u201d Preprint submitted November 18 2015. https:\/\/arxiv.org\/abs\/1511.05879."},{"key":"e_1_3_3_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2948924"},{"key":"e_1_3_3_59_1","volume-title":"The caltech-ucsd birds-200-2011 dataset","author":"Wah C.","year":"2011","unstructured":"Wah, C., S. Branson, P. Welinder, P. Perona, and S. Belongie. 2011. The caltech-ucsd birds-200-2011 dataset. Pasadena, CA: California Institute of Technology."},{"key":"e_1_3_3_60_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-022-00983-x"},{"key":"e_1_3_3_61_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101699"},{"key":"e_1_3_3_62_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104356"},{"key":"e_1_3_3_63_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.104059"},{"key":"e_1_3_3_64_1","unstructured":"Wu Y. A. Kirillov F. Massa W.-Y. Lo and R. Girshick. 2019. \u201cDetectron2.\u201d GitHub. Accessed July 5 2023. https:\/\/github.com\/facebookresearch\/detectron2."},{"key":"e_1_3_3_65_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CP.1943-5487.0000945"},{"key":"e_1_3_3_66_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-020-09504-3"},{"key":"e_1_3_3_67_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103482"},{"key":"e_1_3_3_68_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.11.015"},{"key":"e_1_3_3_69_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2015.01.011"},{"key":"e_1_3_3_70_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CF.1943-5509.0001253"},{"key":"e_1_3_3_71_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104734"},{"key":"e_1_3_3_72_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.12.016"},{"key":"e_1_3_3_73_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104535"},{"key":"e_1_3_3_74_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41693-022-00077-0"},{"key":"e_1_3_3_75_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"}],"container-title":["Journal of Computing in Civil Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/ascelibrary.org\/doi\/pdf\/10.1061\/JCCEE5.CPENG-5473","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T05:05:09Z","timestamp":1730091909000},"score":1,"resource":{"primary":{"URL":"https:\/\/ascelibrary.org\/doi\/10.1061\/JCCEE5.CPENG-5473"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":74,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["10.1061\/JCCEE5.CPENG-5473"],"URL":"https:\/\/doi.org\/10.1061\/jccee5.cpeng-5473","relation":{},"ISSN":["0887-3801","1943-5487"],"issn-type":[{"type":"print","value":"0887-3801"},{"type":"electronic","value":"1943-5487"}],"subject":[],"published":{"date-parts":[[2023,11]]},"assertion":[{"value":"2023-04-24","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-07-23","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-09-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"04023035"}}