{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T04:26:31Z","timestamp":1767155191258,"version":"3.37.3"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872267","61702471","61772359"],"award-info":[{"award-number":["61872267","61702471","61772359"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Grant of 2019 Tianjin New Generation Artificial Intelligence Major Program","award":["18ZXZNGX00150","19ZXZNGX00110"],"award-info":[{"award-number":["18ZXZNGX00150","19ZXZNGX00110"]}]},{"DOI":"10.13039\/501100004835","name":"Open Project Program of the State Key Laboratory of CAD & CG, Zhejiang University","doi-asserted-by":"publisher","award":["A2005","A2012"],"award-info":[{"award-number":["A2005","A2012"]}],"id":[{"id":"10.13039\/501100004835","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianjin Science Foundation for Young Scientists of China","award":["19JCQNJC00500"],"award-info":[{"award-number":["19JCQNJC00500"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tcsvt.2021.3070969","type":"journal-article","created":{"date-parts":[[2021,4,5]],"date-time":"2021-04-05T21:19:02Z","timestamp":1617657542000},"page":"992-1005","source":"Crossref","is-referenced-by-count":21,"title":["CLN: Cross-Domain Learning Network for 2D Image-Based 3D Shape Retrieval"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0578-8138","authenticated-orcid":false,"given":"Weizhi","family":"Nie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8390-2410","authenticated-orcid":false,"given":"Yue","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4952-7666","authenticated-orcid":false,"given":"Jie","family":"Nie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5755-9145","authenticated-orcid":false,"given":"An-An","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5843-6411","authenticated-orcid":false,"given":"Sicheng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00038"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2817042"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-020-01935-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0152-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2336697"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2932058"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2284755"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2311377"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2908982"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.075"},{"key":"ref11","first-page":"965","article-title":"Point-voxel CNN for efficient 3D deep learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.99"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00029"},{"key":"ref14","first-page":"3189","article-title":"Learning shape correspondence with anisotropic convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Boscaini"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2984241"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00979"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018279"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00027"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.269"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018513"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2904460"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00192"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2868426"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1601764"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2017.07.013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477652"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.09.041"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351011"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2884211"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2487860"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2378735"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2929600"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2628207"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.413"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2862625"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00035"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2664503"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00669"},{"key":"ref40","article-title":"SHREC16 track: Largescale 3D shape retrieval from shapenet core55","volume-title":"Proc. Eurographics Workshop 3D Object Retr.","volume":"10","author":"Savva"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-89639-5_37"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref43","first-page":"1","article-title":"SHREC 2019-monocular image based 3D model retrieval","volume-title":"Proc. 12th Eurographics Workshop 3D Object Retr., 40th Annu. Conf. Eur. Assoc. Comput. Graph.","author":"Li"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/SMI.2004.1314504"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185527"},{"key":"ref46","article-title":"SHREC\u201912 track: Generic 3D shape retrieval","volume-title":"Proc. 3DOR","volume":"6","author":"Li"},{"key":"ref47","first-page":"1","article-title":"A large-scale shape benchmark for 3D object retrieval: Toyohashi shape benchmark","volume-title":"Proc. Asia\u2013Pacific Signal Inf. Process. Assoc. Annu. Summit Conf.","author":"Tatsuma"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-038"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2943740"},{"key":"ref50","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Simonyan","key":"ref51"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CW.2013.60"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.11.008"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298797"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.385"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_37"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.106981"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2966882"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/9730812\/09395115.pdf?arnumber=9395115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:23:24Z","timestamp":1704846204000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9395115\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":58,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2021.3070969","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"type":"print","value":"1051-8215"},{"type":"electronic","value":"1558-2205"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}