{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T17:44:19Z","timestamp":1770745459790,"version":"3.49.0"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"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":["61972396"],"award-info":[{"award-number":["61972396"]}],"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":["61876182"],"award-info":[{"award-number":["61876182"]}],"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":["61906193"],"award-info":[{"award-number":["61906193"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019AAA0103402"],"award-info":[{"award-number":["2019AAA0103402"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Strategic Priority Research Program of Chinese Academy of Science","doi-asserted-by":"publisher","award":["XDB32050200"],"award-info":[{"award-number":["XDB32050200"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Advance Research Program","award":["31511130301"],"award-info":[{"award-number":["31511130301"]}]},{"name":"Jiangsu Frontier Technology Basic Research Project","award":["BK20192004"],"award-info":[{"award-number":["BK20192004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/tcsvt.2020.3020257","type":"journal-article","created":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T21:37:25Z","timestamp":1598909845000},"page":"2288-2300","source":"Crossref","is-referenced-by-count":23,"title":["SpatialFlow: Bridging All Tasks for Panoptic Segmentation"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4373-2589","authenticated-orcid":false,"given":"Qiang","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anda","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyu","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6384-0280","authenticated-orcid":false,"given":"Peisong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1289-2758","authenticated-orcid":false,"given":"Jian","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref72","article-title":"SOGNet: Scene overlap graph network for panoptic segmentation","author":"yang","year":"2019","journal-title":"arXiv 1911 07527"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00745"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00073"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref39","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention&#x2014;MICCAI"},{"key":"ref38","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-24261-3_7","article-title":"Deep metric learning using triplet network","volume":"9370","author":"hoffer","year":"2015","journal-title":"Similarity-Based Pattern Recognition"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2015.121"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2336697"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2932058"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.434"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2591583"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.119"},{"key":"ref62","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017","journal-title":"arXiv 1706 05587"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.127"},{"key":"ref67","article-title":"MMDetection: Open MMLab detection toolbox and benchmark","author":"chen","year":"2019","journal-title":"ArXiv 1906 07155"},{"key":"ref68","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019"},{"key":"ref69","article-title":"DeeperLab: Single-shot image parser","author":"yang","year":"2019","journal-title":"arXiv 1902 05093"},{"key":"ref2","first-page":"702","article-title":"Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation","author":"yao","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_31"},{"key":"ref20","article-title":"RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free","author":"fu","year":"2019","journal-title":"arXiv 1901 03353"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref21","article-title":"Microsoft COCO: Common objects in context","volume":"8693","author":"lin","year":"2014","journal-title":"Vision Computer"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref23","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2307862"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref51","article-title":"SSD: Single shot multibox detector","volume":"9905","author":"liu","year":"2016","journal-title":"Vision Computer"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref57","article-title":"Bridging category-level and instance-level semantic image segmentation","author":"wu","year":"2016","journal-title":"arXiv 1605 06885"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.79"},{"key":"ref55","article-title":"Objects as points","author":"zhou","year":"2019","journal-title":"arXiv 1904 07850"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_45"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00093"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00902"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00633"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00609"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00308"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00511"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00925"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00325"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref19","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":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref3","article-title":"Panoptic segmentation","author":"kirillov","year":"2018","journal-title":"arXiv 1801 00868"},{"key":"ref6","article-title":"Panoptic segmentation with a joint semantic and instance segmentation network","author":"de geus","year":"2018","journal-title":"arXiv 1809 02110"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00656"},{"key":"ref7","article-title":"Learning to fuse things and stuff","author":"li","year":"2018","journal-title":"arXiv 1812 01192"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00615"},{"key":"ref9","article-title":"Attention-guided unified network for panoptic segmentation","author":"li","year":"2018","journal-title":"arXiv 1812 03904"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref48","first-page":"9310","article-title":"Sniper: Efficient multi-scale training","author":"singh","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00377"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx105"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2487860"},{"key":"ref44","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/9446657\/09180262.pdf?arnumber=9180262","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:28Z","timestamp":1652194228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9180262\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":74,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2020.3020257","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}