{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:47:13Z","timestamp":1783439233989,"version":"3.54.6"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"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":[[2019,5]]},"DOI":"10.1109\/icra.2019.8793510","type":"proceedings-article","created":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T01:26:12Z","timestamp":1565659572000},"page":"7094-7100","source":"Crossref","is-referenced-by-count":61,"title":["Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs"],"prefix":"10.1109","author":[{"given":"Andres","family":"Milioto","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cyrill","family":"Stachniss","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Rethinking the Inception Architecture for Computer Vision","author":"szegedy","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref32","article-title":"Place categorization and semantic mapping on a mobile robot","volume":"abs 1507 2428","author":"s\u00fcnderhauf","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref30","article-title":"Rgb-d object detection and semantic segmentation for autonomous manipulation in clutter","author":"schwarz","year":"2017","journal-title":"Intl Journal of Robotics Research (IJRR)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref36","article-title":"Pyramid scene parsing network","volume":"abs 1612 1105","author":"zhao","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref35","article-title":"Icnet for real-time semantic segmentation on high-resolution images","volume":"abs 1704 8545","author":"zhao","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IConAC.2015.7313995"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139314"},{"key":"ref11","article-title":"Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour","author":"goyal","year":"2017","journal-title":"ArXiv"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","volume":"abs 1207 580","author":"hinton","year":"2012","journal-title":"ArXiv Preprint"},{"key":"ref14","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"abs 1502 3167","author":"ioffe","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ETFA.2015.7301583"},{"key":"ref17","article-title":"eTRIMS Image Database for interpreting images of man-made scenes","author":"kor?","year":"2009","journal-title":"Technical Report"},{"key":"ref18","first-page":"740","article-title":"Microsoft COCO: Common Objects in Context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comp Vis (ECCV)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref28","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"abs 1505 4597","author":"ronneberger","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2750080"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915596589"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917720510"},{"key":"ref29","article-title":"MobileNetV2: Inverted Residuals and Linear Bottlenecks","author":"sandler","year":"2018","journal-title":"ArXiv"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2011.6094665"},{"key":"ref8","article-title":"Training deep nets with sublinear memory cost","volume":"abs 1604 6174","author":"chen","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref7","article-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","volume":"abs 1606 915","author":"chen","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JURSE.2017.7924573"},{"key":"ref1","article-title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems","author":"abadi","year":"2016","journal-title":"ArXiv"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487720"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460962"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-2-W3-41-2017"},{"key":"ref24","article-title":"Automatic differentiation in pytorch","author":"paszke","year":"2017","journal-title":"NIPS-W"},{"key":"ref23","article-title":"Enet: Deep neural network architecture for real-time semantic segmentation","volume":"1606 2147","author":"paszke","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2018.8625036"},{"key":"ref25","first-page":"1","article-title":"Synthesized semantic views for mobile robot localization","author":"p\u00f6schmann","year":"2017","journal-title":"Eur Conf Mobile Robot (ECMR)"}],"event":{"name":"2019 International Conference on Robotics and Automation (ICRA)","location":"Montreal, QC, Canada","start":{"date-parts":[[2019,5,20]]},"end":{"date-parts":[[2019,5,24]]}},"container-title":["2019 International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8780387\/8793254\/08793510.pdf?arnumber=8793510","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:17:23Z","timestamp":1657855043000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8793510\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/icra.2019.8793510","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}