{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T07:47:50Z","timestamp":1745394470992},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"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":[[2020,6]]},"DOI":"10.1109\/cvpr42600.2020.00860","type":"proceedings-article","created":{"date-parts":[[2020,8,5]],"date-time":"2020-08-05T21:20:05Z","timestamp":1596662405000},"source":"Crossref","is-referenced-by-count":452,"title":["BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation"],"prefix":"10.1109","author":[{"given":"Hao","family":"Chen","sequence":"first","affiliation":[]},{"given":"Kunyang","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Zhi","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Chunhua","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Yongming","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Youliang","family":"Yan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Berg. IMP: instance mask projection for high accuracy semantic segmentation of things","author":"fu","year":"2019","journal-title":"arXiv Comput Res Repository abs\/1906 06597"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"0","journal-title":"Proc Eur Conf Comp Vis"},{"key":"ref15","first-page":"6399","article-title":"Panoptic feature pyramid networks","author":"alexander","year":"0","journal-title":"Proc IEEE Conf Comp Vis Patt Recogn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.472"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref18","first-page":"740","article-title":"Microsoft COCO: common objects in context","author":"lin","year":"0","journal-title":"Proc Eur Conf Comp Vis"},{"key":"ref19","first-page":"708","article-title":"Affinity derivation and graph merge for instance segmentation","author":"liu","year":"0","journal-title":"Proc Eur Conf Comp Vis"},{"key":"ref4","article-title":"Semantic instance segmentation with a discriminative loss function","author":"de brabandere","year":"2017","journal-title":"arXiv Comput Res Repository abs\/1708 02551"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00925"},{"key":"ref6","first-page":"833","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"0","journal-title":"Proc Eur Conf Comp Vis"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00422"},{"key":"ref8","first-page":"534","article-title":"Instance-sensitive fully convolutional networks","author":"dai","year":"0","journal-title":"Proc Eur Conf Comp Vis"},{"key":"ref7","article-title":"Tensormask: A foundation for dense object segmentation","author":"xinlei","year":"0","journal-title":"Proc Int Conf Comp Vis abs\/1903 12174"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00925"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.19"},{"key":"ref9","first-page":"379","article-title":"R-FCN: object detection via region-based fully convolutional networks","author":"dai","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00904"},{"key":"ref22","first-page":"91","article-title":"Faster R-CNN: towards real-time object detection with region proposal networks","author":"shaoqing","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","first-page":"1990","article-title":"Learning to segment object candidates","author":"pinheiro","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","article-title":"Solo: Segmenting objects by locations","author":"wang","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"}],"event":{"name":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","location":"Seattle, WA, USA","start":{"date-parts":[[2020,6,13]]},"end":{"date-parts":[[2020,6,19]]}},"container-title":["2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9142308\/9156271\/09156939.pdf?arnumber=9156939","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:44:53Z","timestamp":1656344693000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9156939\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/cvpr42600.2020.00860","relation":{},"subject":[],"published":{"date-parts":[[2020,6]]}}}