{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:52:18Z","timestamp":1773931938537,"version":"3.50.1"},"reference-count":49,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"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":[[2020,3]]},"DOI":"10.1109\/wacv45572.2020.9093563","type":"proceedings-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T03:41:09Z","timestamp":1589514069000},"page":"932-941","source":"Crossref","is-referenced-by-count":26,"title":["Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning"],"prefix":"10.1109","author":[{"given":"Tobias","family":"Scheck","sequence":"first","affiliation":[]},{"given":"Roman","family":"Seidel","sequence":"additional","affiliation":[]},{"given":"Gangolf","family":"Hirtz","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"ref38","article-title":"Minos: Multimodal indoor simulator for navigation in complex environments","author":"savva","year":"2017","journal-title":"arXiv 1712 03931"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00886"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1504\/IJMISSP.2014.066428"},{"key":"ref31","article-title":"Sgdr: Stochastic gradient descent with warm restarts","author":"loshchilov","year":"2016","journal-title":"arXiv preprint arXiv 1608 03983"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.52"},{"key":"ref36","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref35","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv preprint arXiv 1804 02767"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00116-6"},{"key":"ref28","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":"Computer Vision - ECCV 2014"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Computer Vision - ECCV 2016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref1","year":"0","journal-title":"Unity-technologies Image synthesis for machine learning - bitbucket"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.351"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.248"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126500"},{"key":"ref24","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref23","article-title":"Ai2-thor: An interactive 3d environment for visual ai","author":"kolve","year":"2017","journal-title":"ArXiv"},{"key":"ref26","first-page":"1","author":"liciotti","year":"2017","journal-title":"Person Re-identification Dataset with RGB-D Camera in a Top-View Configuration"},{"key":"ref25","article-title":"Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset","author":"li","year":"2018","journal-title":"British Machine Vision Conference (BMVC)"},{"key":"ref10","first-page":"379","article-title":"R-fcn: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref11","author":"del blanco","year":"2016","journal-title":"People in indoor rooms with perspective and omnidirectional cameras (PIROPO) database"},{"key":"ref40","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISCCSP.2012.6217867"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471935"},{"key":"ref14","author":"everingham","year":"0","journal-title":"The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results"},{"key":"ref15","first-page":"241","article-title":"The hda+ data set for research on fully automated re-identification systems","author":"figueira","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref16","first-page":"4340","article-title":"Virtual worlds as proxy for multi-object tracking analysis","author":"gaidon","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref17","article-title":"Learning where to look: Data-driven viewpoint set selection for 3d scenes","author":"genova","year":"2017","journal-title":"arXiv preprint arXiv 1704 02393"},{"key":"ref18","first-page":"4077","article-title":"Understanding real world indoor scenes with synthetic data","author":"handa","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","first-page":"280","volume":"10","author":"bourke","year":"2010","journal-title":"Blender and immersive gaming in a hemispherical dome"},{"key":"ref3","first-page":"265","volume":"9","author":"bourke","year":"2009","journal-title":"idome Immersive gaming with the unity3d game engine"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00081"},{"key":"ref5","article-title":"Home: A household multimodal environment","author":"brodeur","year":"2017","journal-title":"arXiv preprint arXiv 1711 11585"},{"key":"ref8","article-title":"Spherical cnns","author":"cohen","year":"2018","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2014.6830719"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_32"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00143"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202133"},{"key":"ref48","article-title":"Building general- izable agents with a realistic and rich 3d environment","author":"wu","year":"2018","journal-title":"arXiv preprint arXiv 1801 01000"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.492"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00405"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.28"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383518"},{"key":"ref43","first-page":"786","article-title":"Ricap: Random image cropping and patching data augmentation for deep cnns","author":"takahashi","year":"2018","journal-title":"Proceedings of The 10th Asian Conference on Machine Learning volume 95 of Proceedings of Machine Learning Research"}],"event":{"name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","location":"Snowmass Village, CO, USA","start":{"date-parts":[[2020,3,1]]},"end":{"date-parts":[[2020,3,5]]}},"container-title":["2020 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9087828\/9093261\/09093563.pdf?arnumber=9093563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:06:34Z","timestamp":1656601594000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093563\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093563","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}