{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T01:43:11Z","timestamp":1778204591030,"version":"3.51.4"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2017YFA0700800"],"award-info":[{"award-number":["2017YFA0700800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772332"],"award-info":[{"award-number":["61772332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Qi Zhi Institute"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tip.2020.2975711","type":"journal-article","created":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T22:24:03Z","timestamp":1582842243000},"page":"5301-5309","source":"Crossref","is-referenced-by-count":16,"title":["Outdoor RGBD Instance Segmentation With Residual Regretting Learning"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5320-2157","authenticated-orcid":false,"given":"Zhengtian","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2903-9270","authenticated-orcid":false,"given":"Shu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3257-8272","authenticated-orcid":false,"given":"Jianping","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4023-9257","authenticated-orcid":false,"given":"Cewu","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","article-title":"Recurrent neural networks for semantic instance segmentation","author":"salvador","year":"2017","journal-title":"arXiv 1712 00617"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.409"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.79"},{"key":"ref31","article-title":"End-to-end instance segmentation with recurrent attention","author":"ren","year":"2016","journal-title":"arXiv 1605 09410"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.01.024"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.100"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.108"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref11","first-page":"345","article-title":"Learning rich features from RGB-D images for object detection and segmentation","author":"gupta","year":"2014","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.309"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45886-1_2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.305"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.305"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.774"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00904"},{"key":"ref19","article-title":"Bridging category-level and instance-level semantic image segmentation","author":"wu","year":"2016","journal-title":"arXiv 1605 06885"},{"key":"ref28","first-page":"297","article-title":"Simultaneous detection and segmentation","author":"hariharan","year":"2014","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.378"},{"key":"ref6","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.472"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.343"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2775623"},{"key":"ref22","first-page":"244","article-title":"Semantic labeling of 3d point clouds for indoor scenes","author":"koppula","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.202"},{"key":"ref24","article-title":"Indoor semantic segmentation using depth information","author":"couprie","year":"2013","journal-title":"arXiv 1301 3572"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.556"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_40"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8835130\/09016374.pdf?arnumber=9016374","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:39:09Z","timestamp":1651070349000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9016374\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.2975711","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}