乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T17:47:15Z","timestamp":1725299235436},"reference-count":52,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/cvpr42600.2020.01124","type":"proceedings-article","created":{"date-parts":[[2020,8,5]],"date-time":"2020-08-05T21:20:05Z","timestamp":1596662405000},"source":"Crossref","is-referenced-by-count":21,"title":["High-Dimensional Convolutional Networks for Geometric Pattern Recognition"],"prefix":"10.1109","author":[{"given":"Christopher","family":"Choy","sequence":"first","affiliation":[]},{"given":"Junha","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Rene","family":"Ranftl","sequence":"additional","affiliation":[]},{"given":"Jaesik","family":"Park","sequence":"additional","affiliation":[]},{"given":"Vladlen","family":"Koltun","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2448103"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref33","article-title":"Deep fundamental matrix estimation","author":"ranftl","year":"2018","journal-title":"ECCV"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.257"},{"key":"ref31","article-title":"Pointnet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"2017","journal-title":"CVPR"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00102"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.2307\/2288718"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918784361"},{"key":"ref34","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref28","author":"pais","year":"2019","journal-title":"3dregnet A deep neural network for 3d point registration"},{"key":"ref27","article-title":"OpenMP Architecture Review Board","year":"2008","journal-title":"OpenMP application program interface Version 3 0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.25"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00733"},{"key":"ref1","author":"ankerl","year":"2019","journal-title":"Robin Hood Hashing"},{"key":"ref20","author":"huber","year":"2011","journal-title":"Robust Statistics"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28619-4_49"},{"key":"ref21","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"ICML"},{"key":"ref24","article-title":"Consensus set maximization with guaranteed global optimality for robust geometry estimation","author":"li","year":"2009","journal-title":"ICCV"},{"key":"ref23","article-title":"Fixing the locally optimized RANSAC-full experimental evaluation","author":"lebeda","year":"0","journal-title":"British Machine Vision Conference"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1145\/2897824.2925913","article-title":"Point registration via efficient convex relaxation","author":"maron","year":"2016","journal-title":"ACM Transactions on Graphics"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007941100561"},{"key":"ref51","article-title":"Fast global registration","author":"zhou","year":"2016","journal-title":"ECCV"},{"key":"ref52","author":"zhou","year":"2018","journal-title":"Open3D A modern library for 3D data processing"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1145\/3054739","article-title":"BundleFusion: Real-time globally consistent 3d reconstruction using on-the-fiy surface re-integration","author":"dai","year":"2017","journal-title":"ACM Transactions on Graphics"},{"key":"ref11","article-title":"Eigendecomposition-free training of deep networks with zero eigenvalue-based losses","author":"dang","year":"2018","journal-title":"ECCV"},{"key":"ref40","article-title":"YFCC100M: The new data in multimedia research","author":"bart","year":"2016","journal-title":"Communications of the ACM"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967693"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2003.09.004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2013.6671777"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","article-title":"Reconstructing the world in six days","author":"jared","year":"2015","journal-title":"CVPR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6906998"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2011.03.007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00442"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.267"},{"key":"ref6","article-title":"Robust reconstruction of indoor scenes","author":"choi","year":"2015","journal-title":"CVPR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2631531"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00905"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00594"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.221"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00282"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_8"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.29"},{"key":"ref47","article-title":"Deep sets","author":"zaheer","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1023\/A:1020224303087"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.1999.0832"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.184"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.458"}],"event":{"name":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","location":"Seattle, WA, USA","start":{"date-parts":[[2020,6,13]]},"end":{"date-parts":[[2020,6,19]]}},"container-title":["2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9142308\/9156271\/09157404.pdf?arnumber=9157404","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:55:10Z","timestamp":1656345310000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9157404\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/cvpr42600.2020.01124","relation":{},"subject":[],"published":{"date-parts":[[2020,6]]}}}