{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T18:06:57Z","timestamp":1770919617834,"version":"3.50.1"},"reference-count":84,"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":"Singapore Ministry of Education Academic Research Fund (AcRF) Tier 3","award":["MOE2017-T3-1-001"],"award-info":[{"award-number":["MOE2017-T3-1-001"]}]},{"name":"Zhejiang Leading Innovation Research Program","award":["2018R01017"],"award-info":[{"award-number":["2018R01017"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tip.2019.2962685","type":"journal-article","created":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T21:14:46Z","timestamp":1578604486000},"page":"3520-3533","source":"Crossref","is-referenced-by-count":137,"title":["Semantic Segmentation With Context Encoding and Multi-Path Decoding"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4868-6526","authenticated-orcid":false,"given":"Henghui","family":"Ding","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9104-2315","authenticated-orcid":false,"given":"Xudong","family":"Jiang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5811-9950","authenticated-orcid":false,"given":"Bing","family":"Shuai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0126-5778","authenticated-orcid":false,"given":"Ai Qun","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1816-1457","authenticated-orcid":false,"given":"Gang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","article-title":"Bridging category-level and instance-level semantic image segmentation","author":"wu","year":"2016","journal-title":"arXiv 1605 06885"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8802999"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00163"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.60"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.415"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.458"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00085"},{"key":"ref75","article-title":"Top-down learning for structured labeling with convolutional pseudoprior","author":"xie","year":"2015","journal-title":"arXiv 1511 07409"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.75"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00199"},{"key":"ref79","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.482"},{"key":"ref32","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc ICML"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.287"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45886-1_6"},{"key":"ref36","first-page":"109","article-title":"Efficient inference in fully connected CRFs with Gaussian edge potentials","author":"kr\u00e4henb\u00fchl","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","article-title":"Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding","author":"kendall","year":"2015","journal-title":"arXiv 1511 02680"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4640-7_8"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref61","first-page":"2447","article-title":"Recursive context propagation network for semantic scene labeling","author":"sharma","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878975"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2712691"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298642"},{"key":"ref65","first-page":"746","article-title":"Indoor segmentation and support inference from RGBD images","author":"silberman","year":"2012","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref66","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref29","article-title":"Labelbank: Revisiting global perspectives for semantic segmentation","author":"hu","year":"2017","journal-title":"arXiv 1703 09891"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.386"},{"key":"ref2","article-title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","author":"badrinarayanan","year":"2015","journal-title":"arXiv 1511 00561"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_33"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_32"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4072-6_12"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2888701"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7251-y"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298959"},{"key":"ref59","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref58","first-page":"2759","article-title":"RGB-(D) scene labeling: Features and algorithms","author":"ren","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref57","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":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref55","first-page":"82","article-title":"Recurrent convolutional neural networks for scene labeling","author":"pinheiro","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.189"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.119"},{"key":"ref10","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"chen","year":"2015","journal-title":"Proc ICLR"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.396"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_45"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299025"},{"key":"ref15","first-page":"6819","article-title":"Boundary-aware feature propagation for scene segmentation","author":"ding","year":"2019","journal-title":"Proc IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00254"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00747"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00909"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195326796.001.0001","author":"garland-thomson","year":"2009","journal-title":"Staring How we look"},{"key":"ref80","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_38"},{"key":"ref3","article-title":"Pixelnet: Towards a general pixel-level architecture","author":"bansal","year":"2016","journal-title":"arXiv 1609 06694"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298977"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00690"},{"key":"ref8","first-page":"430","article-title":"Semantic segmentation with second-order pooling","author":"carreira","year":"2012","journal-title":"Proc Comput Vis -ECCV"},{"key":"ref7","article-title":"Coco-stuff: Thing and stuff classes in context","author":"caesar","year":"2016","journal-title":"arXiv 1612 03716"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.162"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref46","article-title":"Feature boosting network for 3D pose estimation","author":"liu","year":"2019","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.147"},{"key":"ref48","article-title":"Parsenet: Looking wider to see better","author":"liu","year":"2015","journal-title":"arXiv 1506 04579"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.342"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.348"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206536"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Comput Vis &#x2013;ECCV"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8835130\/08954873.pdf?arnumber=8954873","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T22:57:51Z","timestamp":1722293871000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8954873\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":84,"URL":"https:\/\/doi.org\/10.1109\/tip.2019.2962685","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}