{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T21:02:49Z","timestamp":1775077369191,"version":"3.50.1"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tmm.2021.3114541","type":"journal-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T19:58:08Z","timestamp":1632340688000},"page":"4183-4196","source":"Crossref","is-referenced-by-count":62,"title":["Bridging the Gap Between Semantic Segmentation and Instance Segmentation"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3238-960X","authenticated-orcid":false,"given":"Chengxiang","family":"Yin","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, U.S."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4418-0114","authenticated-orcid":false,"given":"Jian","family":"Tang","sequence":"additional","affiliation":[{"name":"Midea Group, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8224-9891","authenticated-orcid":false,"given":"Tongtong","family":"Yuan","sequence":"additional","affiliation":[{"name":"Beijing University of Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2879-3244","authenticated-orcid":false,"given":"Zhiyuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Midea Group, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3024-7990","authenticated-orcid":false,"given":"Yanzhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Engineering, Northeastern University, Boston, MA, United States"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref2","first-page":"2672","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"Comput. Sci."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref4","first-page":"562","article-title":"Deeply-supervised nets","volume-title":"Proc. Artif. Intell. Statist.","author":"Lee","year":"2015"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_25"},{"key":"ref7","first-page":"3354","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Geiger","year":"2012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref10","article-title":"Deep dual-resolution networks for real-time and accurate semantic segmentation of road scenes","author":"Hong","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500621"},{"key":"ref12","first-page":"8699","article-title":"Searching for efficient multi-scale architectures for dense image prediction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen","year":"2018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01188-y"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref15","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01515-2"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2798282"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2867720"},{"key":"ref20","article-title":"Convolutional CRFs for semantic segmentation","author":"Teichmann","year":"2018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451830"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2552401"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014814"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3132068"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00511"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00422"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.70"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.472"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.343"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_39"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00940"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_19"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00683"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref41","article-title":"YOLOv3: An incremental improvement","author":"Redmon","year":"2018"},{"key":"ref42","article-title":"ENet: A deep neural network architecture for real-time semantic segmentation","author":"Paszke","year":"2016"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_25"},{"issue":"7","key":"ref44","article-title":"Speeding up semantic segmentation for autonomous driving","volume-title":"Proc. MLITS, NIPS Workshop","volume":"2","author":"Treml","year":"2016"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00925"},{"key":"ref46","article-title":"Semantic instance segmentation with a discriminative loss function","volume-title":"Proc. Workshop Conf. Comput. Vis. Pattern Recognit.","author":"Brabandere","year":"2017"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00904"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_17"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01024"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01392"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00963"},{"key":"ref53","article-title":"Learning to fuse things and stuff","author":"Li","year":"2018"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00902"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00719"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00847"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.378"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.100"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.305"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.774"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54407-6_32"},{"key":"ref66","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.261"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref76","year":"2019","journal-title":"KITTIdataset"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.191"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9687854\/09546533.pdf?arnumber=9546533","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:19:19Z","timestamp":1705015159000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9546533\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":70,"URL":"https:\/\/doi.org\/10.1109\/tmm.2021.3114541","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}