{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:11:38Z","timestamp":1784203898473,"version":"3.55.0"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":["61772359"],"award-info":[{"award-number":["61772359"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572356"],"award-info":[{"award-number":["61572356"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872267"],"award-info":[{"award-number":["61872267"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61902277"],"award-info":[{"award-number":["61902277"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianjin New Generation Artificial Intelligence Major Program","award":["18ZXZNGX00150"],"award-info":[{"award-number":["18ZXZNGX00150"]}]},{"name":"Tianjin New Generation Artificial Intelligence Major Program","award":["19ZXZNGX00110"],"award-info":[{"award-number":["19ZXZNGX00110"]}]},{"name":"State Key Lab of CAD &amp; CG"},{"DOI":"10.13039\/501100004835","name":"Zhejiang University","doi-asserted-by":"publisher","award":["A2005"],"award-info":[{"award-number":["A2005"]}],"id":[{"id":"10.13039\/501100004835","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004835","name":"Zhejiang University","doi-asserted-by":"publisher","award":["A2012"],"award-info":[{"award-number":["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. Multimedia"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tmm.2020.3006371","type":"journal-article","created":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T20:13:34Z","timestamp":1593807214000},"page":"1962-1976","source":"Crossref","is-referenced-by-count":48,"title":["M-GCN: Multi-Branch Graph Convolution Network for 2D Image-based on 3D Model Retrieval"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0578-8138","authenticated-orcid":false,"given":"Wei-Zhi","family":"Nie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6080-8074","authenticated-orcid":false,"given":"Min-Jie","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5755-9145","authenticated-orcid":false,"given":"An-An","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5739-8126","authenticated-orcid":false,"given":"Zhendong","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4952-7666","authenticated-orcid":false,"given":"Jie","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Graph attention networks","author":"veli?kovi?","year":"0","journal-title":"Proc 6th Int Conf Learn Representations"},{"key":"ref38","article-title":"Feature extraction and image retrieval based on AlexNet","volume":"10033","author":"yuan","year":"0","journal-title":"Proc Eighth Int Conf Digit Image Process"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3341161.3342942"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2999520"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186116"},{"key":"ref30","article-title":"Relational inductive biases, deep learning, and graph networks","author":"battaglia","year":"2018"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.026"},{"key":"ref36","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240621"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"146:1","DOI":"10.1145\/3326362","article-title":"Dynamic graph CNN for learning on point clouds","volume":"38","author":"wang","year":"2019","journal-title":"ACM Trans Graph"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.11.008"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CW.2013.60"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1601764"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref2","first-page":"3946","article-title":"Quantized correlation hashing for fast cross-modal search","author":"wu","year":"0","journal-title":"Proc Int Conf Artif Intell"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2608906"},{"key":"ref20","first-page":"1","article-title":"Dynamic graph CNN for learning on point clouds","volume":"38","author":"wang","year":"2019","journal-title":"ACM Trans Graph"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2614132"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2859591"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00761"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00383"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.329"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.487"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2321764"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-007-0097-8"},{"key":"ref57","first-page":"1","article-title":"A large-scale shape benchmark for 3D object retrieval: Toyohashi shape benchmark","author":"tatsuma","year":"0","journal-title":"Proc Asia Pacific Signal Inform Process Assoc Annu Summit Conf"},{"key":"ref56","first-page":"119","article-title":"SHREC&#x2019;12 track: Generic 3D shape retrieval","volume":"6","author":"li","year":"0","journal-title":"Proc 3D Object Retrieval"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00035"},{"key":"ref54","first-page":"4278","article-title":"Inception-v4, Inception-ResNet and the impact of residual connections on learning","author":"szegedy","year":"0","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref53","first-page":"45","article-title":"SHREC&#x2019;18: RGB-D object-to-CAD retrieval","author":"pham","year":"0","journal-title":"Proc 11th Eurograph Workshop 3D Object Retrieval"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818071"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00269"},{"key":"ref11","first-page":"37","article-title":"SHREC&#x2019;18 track: 2D image-based 3D scene retrieval","author":"abdul-rashid","year":"0","journal-title":"Proc 11th Eurograph Workshop 3D Object Retrieval"},{"key":"ref12","article-title":"Extended 2D scene image-based 3D scene retrieval","author":"abdul-rashid","year":"2019","journal-title":"Eurographics Workshop on 3D Object Retrieval"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00038"},{"key":"ref14","first-page":"103","article-title":"Monocular image based 3D model retrieval","author":"li","year":"2019","journal-title":"3DOR Eurographics"},{"key":"ref15","first-page":"121","article-title":"SHREC14 track: Extended large scale sketch-based 3D shape retrieval","volume":"2014","author":"li","year":"0","journal-title":"Proc Eurograph Workshop on 3D Object Retrieval"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350999"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2873547"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2882155"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2766445"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2007.09.001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2868426"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti458"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2005.863875"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2007.898915"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2867742"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3344684"},{"key":"ref46","first-page":"39","article-title":"Large-scale 3D shape retrieval from ShapeNet Core55: SHREC&#x2019;17 track","author":"savva","year":"0","journal-title":"Proceedings of the ACM Workshop on 3D Object Retrieval"},{"key":"ref45","first-page":"1912","article-title":"3D ShapeNets: A deep representation for volumetric shapes","author":"wu","year":"0","journal-title":"Proc IEEE Conf Comput Vision Pattern Recognit"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2014.10.006"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2664503"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/SMI.2004.1314504"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8659.00669"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9296985\/09133153.pdf?arnumber=9133153","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:37Z","timestamp":1652194297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9133153\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/tmm.2020.3006371","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}