{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T04:31:08Z","timestamp":1746246668212},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"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":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412787","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"4634-4641","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing Deep Semantic Segmentation of RGB-D Data with Entangled Forests"],"prefix":"10.1109","author":[{"given":"Matteo","family":"Terreran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elia","family":"Bonetto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Ghidoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"journal-title":"Indoor Semantic Segmentation Using Depth Information","year":"2013","author":"couprie","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139875"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ECMR.2019.8870921"},{"key":"ref16","first-page":"345","article-title":"Learning rich features from rgb-d images for object detection and segmentation","author":"gupta","year":"0","journal-title":"European Conference on Computer Vision"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6056-8"},{"journal-title":"Squeezenet Alexnet-level accuracy with 50x fewer parameters and¡ 0 5 mb model size","year":"2016","author":"iandola","key":"ref18"},{"journal-title":"Mobilenets Efficient convolutional neural networks for mobile vision applications","year":"2017","author":"howard","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.04.005"},{"key":"ref6","first-page":"213","article-title":"Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture","author":"hazirbas","year":"0","journal-title":"Asian Conference on Computer Vision"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2015.2506118"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"ref1","article-title":"Indoor segmentation and support inference from rgbd images","author":"silberman","year":"0","journal-title":"ECCV"},{"key":"ref9","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.264"},{"journal-title":"The lottery ticket hypothesis Finding sparse trainable neural networks","year":"2018","author":"frankle","key":"ref21"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412787.pdf?arnumber=9412787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:40Z","timestamp":1652197240000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412787\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412787","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}