{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T09:07:00Z","timestamp":1751620020297,"version":"3.37.3"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004489","name":"MITACS","doi-asserted-by":"publisher","award":["IT27239"],"award-info":[{"award-number":["IT27239"]}],"id":[{"id":"10.13039\/501100004489","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3436681","type":"journal-article","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T18:19:51Z","timestamp":1722536391000},"page":"108303-108312","source":"Crossref","is-referenced-by-count":1,"title":["Comparative Evaluation of Deep Neural Network Performance for Point Cloud-Based IFC Object Classification"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0394-5259","authenticated-orcid":false,"given":"Majid","family":"Seydgar","sequence":"first","affiliation":[{"name":"Department of Construction Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Universit&#x00E9; du Qu&#x00E9;bec, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c9rik A.","family":"Poirier","sequence":"additional","affiliation":[{"name":"Department of Construction Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Universit&#x00E9; du Qu&#x00E9;bec, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7012-440X","authenticated-orcid":false,"given":"Ali","family":"Motamedi","sequence":"additional","affiliation":[{"name":"Department of Construction Engineering, &#x00C9;cole de Technologie Sup&#x00E9;rieure, Universit&#x00E9; du Qu&#x00E9;bec, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.autcon.2020.103179"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.aei.2021.101474"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.jobe.2022.104352"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1016\/j.autcon.2022.104524"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.autcon.2020.103188"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.3390\/app10134437"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1061\/(ASCE)0887-3801(2010)24:1(25)"},{"volume-title":"Industry Foundation Classes 4.3.2.0","year":"2024","key":"ref8"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1111\/mice.12128"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1680\/jsmic.21.00032"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1016\/j.autcon.2018.11.015"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1016\/j.autcon.2018.03.018"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1016\/j.dibe.2020.100011"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1016\/j.aei.2022.101641"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.24928\/JC3-2017\/0044"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1007\/978-3-031-25082-8_23"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1016\/j.aei.2020.101200"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1016\/j.autcon.2022.104300"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1016\/j.autcon.2023.104757"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1016\/j.autcon.2024.105473"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ICCV.2015.114"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1093\/jcde\/qwaa075"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1016\/j.autcon.2020.103131"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1061\/9780784482421.058"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1061\/(ASCE)CP.1943-5487.0000842"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1007\/s12205-023-2331-y"},{"key":"ref27","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Qi"},{"key":"ref28","article-title":"PointNet+: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Qi"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1609\/aaai.v33i01.33018279"},{"key":"ref30","first-page":"166","article-title":"IFCNet: A benchmark dataset for IFC entity classification","volume-title":"Proc. EG-ICE Workshop Intell. Comput. Eng.","author":"Emunds"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.35490\/EC3.2021.168"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1007\/978-981-13-8410-3_4"},{"key":"ref33","first-page":"1","article-title":"Shape classification of building information models using neural networks","volume-title":"Proc. 3DOR","author":"Evangelou"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/CVPR.2018.00035"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/CVPR.2018.00027"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1109\/IROS.2015.7353481"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1109\/CVPR.2018.00472"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/CVPR.2017.701"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1109\/CVPR.2018.00961"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1109\/CVPR.2019.00319"},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1109\/ICCV.2019.00859"},{"key":"ref42","article-title":"Rethinking network design and local geometry in point cloud: A simple residual MLP framework","author":"Ma","year":"2022","journal-title":"arXiv:2202.07123"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1109\/CVPR.2019.00985"},{"key":"ref44","first-page":"23192","article-title":"PointNeXt: Revisiting PointNet++ with improved training and scaling strategies","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Qian"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.1007\/s41095-021-0229-5"},{"doi-asserted-by":"publisher","key":"ref46","DOI":"10.48550\/ARXIV.1706.03762"},{"doi-asserted-by":"publisher","key":"ref47","DOI":"10.1109\/TPAMI.2022.3164083"},{"key":"ref48","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"doi-asserted-by":"publisher","key":"ref49","DOI":"10.1109\/CVPR.2019.00910"},{"doi-asserted-by":"publisher","key":"ref50","DOI":"10.1145\/3326362"},{"doi-asserted-by":"publisher","key":"ref51","DOI":"10.1007\/978-3-030-58592-1_20"},{"doi-asserted-by":"publisher","key":"ref52","DOI":"10.1109\/CVPR42600.2020.00563"},{"doi-asserted-by":"publisher","key":"ref53","DOI":"10.1109\/ICCV48922.2021.00095"},{"doi-asserted-by":"publisher","key":"ref54","DOI":"10.1109\/CVPR52688.2022.01837"},{"doi-asserted-by":"publisher","key":"ref55","DOI":"10.1109\/CVPR52729.2023.02092"},{"doi-asserted-by":"publisher","key":"ref56","DOI":"10.1016\/j.autcon.2019.103058"},{"doi-asserted-by":"publisher","key":"ref57","DOI":"10.1061\/(ASCE)CP.1943-5487.0000972"},{"doi-asserted-by":"publisher","key":"ref58","DOI":"10.1016\/j.aei.2022.101803"},{"doi-asserted-by":"publisher","key":"ref59","DOI":"10.1016\/j.autcon.2021.103874"},{"doi-asserted-by":"publisher","key":"ref60","DOI":"10.1109\/ICCV.2019.00651"},{"doi-asserted-by":"publisher","key":"ref61","DOI":"10.1109\/CVPR.2015.7298801"},{"doi-asserted-by":"publisher","key":"ref62","DOI":"10.1109\/CVPR42600.2020.00643"},{"key":"ref63","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"McInnes","year":"2018","journal-title":"arXiv:1802.03426"},{"key":"ref64","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"Loshchilov","year":"2016","journal-title":"arXiv:1608.03983"},{"key":"ref65","first-page":"6389","article-title":"Visualizing the loss landscape of neural nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Li"},{"key":"ref66","first-page":"1","article-title":"Performance assessment of deep neural networks for classification of IFC objects from point cloud with limited labeled data","volume-title":"Proc. Transforming Construct. Reality Capture Technol.","author":"Seydgar"},{"doi-asserted-by":"publisher","key":"ref67","DOI":"10.1109\/ICCV.2019.00167"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10620205.pdf?arnumber=10620205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T05:15:33Z","timestamp":1723526133000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10620205\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3436681","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}