{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:20:55Z","timestamp":1730229655405,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/icar46387.2019.8981549","type":"proceedings-article","created":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T06:24:08Z","timestamp":1581056648000},"page":"147-154","source":"Crossref","is-referenced-by-count":5,"title":["Real-time RGB-D semantic keyframe SLAM based on image segmentation learning from industrial CAD models"],"prefix":"10.1109","author":[{"given":"Howard","family":"Mahe","sequence":"first","affiliation":[]},{"given":"Denis","family":"Marraud","sequence":"additional","affiliation":[]},{"given":"Andrew I.","family":"Comport","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2011.6092378"},{"journal-title":"Probabilistic Robotics Ser Intelligent Robotics and Autonomous Agents","year":"2005","author":"thrun","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202213"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.757"},{"key":"ref37","first-page":"3e","article-title":"Deconvolution and checkerboard artifacts","volume":"1","author":"odena","year":"2016","journal-title":"Distillation"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6696881"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2015.XI.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00941"},{"journal-title":"On Automatic Differentiation","year":"2017","author":"paszke","key":"ref40"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2750080"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545263"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.105"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_18"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460815"},{"journal-title":"Regnet Learning the optimization of direct image-to-image pose registration","year":"2018","author":"han","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00471"},{"key":"ref19","article-title":"Ba-net: Dense bundle adjustment network","author":"tang","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989538"},{"key":"ref4","first-page":"405","article-title":"Icnet for real-time semantic segmentation on high-resolution images","author":"zhao","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354011"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"journal-title":"Rethinking atrous convolution for semantic image segmentation","year":"2017","author":"chen","key":"ref6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907236"},{"key":"ref5","first-page":"125","article-title":"Light-weight refinenet for realtime semantic segmentation","author":"nekrasov","year":"2018","journal-title":"Proceedings of the British Machine Vision Conference (BMVC)"},{"journal-title":"ENet A deep neural network architecture for real-time semantic segmentation","year":"2016","author":"paszke","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_34"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"ref22","first-page":"4","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","volume":"1","author":"qi","year":"2017","journal-title":"Proc Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.701"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01188-y"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6630632"},{"journal-title":"Adam A method for stochastic optimization","year":"2015","author":"kingma","key":"ref41"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.269"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-013-0379-5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR.2017.8023499"}],"event":{"name":"2019 19th International Conference on Advanced Robotics (ICAR)","start":{"date-parts":[[2019,12,2]]},"location":"Belo Horizonte, Brazil","end":{"date-parts":[[2019,12,6]]}},"container-title":["2019 19th International Conference on Advanced Robotics (ICAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8962289\/8981543\/08981549.pdf?arnumber=8981549","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T20:26:30Z","timestamp":1658262390000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8981549\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/icar46387.2019.8981549","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}