{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T04:10:26Z","timestamp":1773202226032,"version":"3.50.1"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61825305"],"award-info":[{"award-number":["61825305"]}],"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":["62002379"],"award-info":[{"award-number":["62002379"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2018YFB1305105"],"award-info":[{"award-number":["2018YFB1305105"]}]},{"name":"National Key Research and Development Program of China","award":["2018AAA0102200"],"award-info":[{"award-number":["2018AAA0102200"]}]},{"name":"Zhejiang Lab's International Talent Fund for Young Professionals"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1109\/tpami.2022.3186876","type":"journal-article","created":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T20:08:08Z","timestamp":1656446888000},"page":"4882-4896","source":"Crossref","is-referenced-by-count":39,"title":["Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2069-417X","authenticated-orcid":false,"given":"Yifei","family":"Shi","sequence":"first","affiliation":[{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3238-745X","authenticated-orcid":false,"given":"Xin","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China"}]},{"given":"Junhua","family":"Xi","sequence":"additional","affiliation":[{"name":"College of Computer Science, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9938-622X","authenticated-orcid":false,"given":"Xiaochang","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7357-0053","authenticated-orcid":false,"given":"Dewen","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9054-0216","authenticated-orcid":false,"given":"Kai","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Computer Science, National University of Defense Technology, Changsha, Hunan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/science.177.4047.393"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_59"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00272"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1833349.1778841"},{"key":"ref5","article-title":"ShapeNet: An information-rich 3D model\n                        repository","author":"Chang","year":"2015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01199"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00609"},{"key":"ref8","article-title":"Fast and accurate deep network learning by\n                        exponential linear units (ELUs)","author":"Clevert","year":"2015"},{"key":"ref9","article-title":"Negative sampling in variational\n                        autoencoders","author":"Csisz\u00e1rik","year":"2019"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00884"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.693"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TDPVT.2002.1024098"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593822"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.264"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.92"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3003823"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1057432.1057461"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00030"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","article-title":"Deep anomaly detection with outlier\n                        exposure","author":"Hendrycks","year":"2018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00455"},{"key":"ref24","first-page":"5156","article-title":"Nikolaos pappas, and fran\u00e7ois fleuret.\n                        transformers are RNNs: Fast autoregressive transformers with linear\n                        attention","volume-title":"Proc. Int. Conf. Mach.\n                        Learn.","author":"Katharopoulos"},{"key":"ref25","first-page":"61","article-title":"Poisson surface\n                    reconstruction","volume-title":"Proc. 4th Eurogr. Symp.\n                        Geometry Process.","author":"Kazhdan"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.181"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2010.01778.x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(91)90039-O"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_34"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12573"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818071"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1833349.1778840"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19282-1_9"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6827"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990576"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1561\/9781601983657"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/11744047_39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460950"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/34.23119"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141924"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12010"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341765"},{"key":"ref44","first-page":"1","article-title":"Shape-primitive based object recognition and\n                        grasping","volume-title":"Proc. 7th German Conf.\n                        Robot.","author":"Nieuwenhuisen"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(91)90022-E"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1399504.1360642"},{"key":"ref48","first-page":"235","article-title":"Symmetry-enhanced remeshing of\n                        surfaces","volume-title":"Proc. 5th Eurogr. Symp.\n                        Geometry Process.","author":"Podolak"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/1179352.1141923"},{"key":"ref50","article-title":"PointNet: Deep hierarchical feature learning on point\n                        sets in a metric space","author":"Qi","year":"2017"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.10.014"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01497"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417775"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12481"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2967577"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1126-y"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1006\/rtim.1998.0135"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818094"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.221"},{"issue":"S1","key":"ref60","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1017\/S1431927618001058","article-title":"Deep convolutional neural networks for symmetry\n                        detection","volume":"24","author":"Rama","year":"2018","journal-title":"Microsc. Microanalysis"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1037\/a0029333"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00141"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00346"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00275"},{"key":"ref65","first-page":"4835","article-title":"Deep multimodal fusion by channel\n                        exchanging","volume-title":"Proc. Adv. Neural Inf.\n                        Process. Syst.","volume":"33","author":"Wang"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01111"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00033"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/1661412.1618484"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00029"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13560"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00088"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3061215"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778831"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00148"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01568"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx106"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10061515\/09808406.pdf?arnumber=9808406","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T19:06:49Z","timestamp":1725995209000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9808406\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":76,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3186876","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,1]]}}}