{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T06:51:45Z","timestamp":1725605505507},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/iisa56318.2022.9904394","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:57:11Z","timestamp":1664567831000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Real-time synthetic-to-real human detection for robotics applications"],"prefix":"10.1109","author":[{"given":"Maria","family":"Tzelepi","sequence":"first","affiliation":[{"name":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charalampos","family":"Symeonidis","sequence":"additional","affiliation":[{"name":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikos","family":"Nikolaidis","sequence":"additional","affiliation":[{"name":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anastasios","family":"Tefas","sequence":"additional","affiliation":[{"name":"Aristotle University of Thessaloniki,Department of Informatics,Thessaloniki,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Synthetic data for deep learning","author":"nikolenko","year":"2019","journal-title":"arXiv preprint arXiv 1909 11324"},{"key":"ref11","article-title":"Deep leaf segmentation using synthetic data","author":"ward","year":"2018","journal-title":"arXiv preprint arXiv 1807 10931"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00030"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197256"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI47803.2020.9308468"},{"key":"ref15","article-title":"How to close simreal gap? transfer with segmentation!","author":"yan","year":"2020","journal-title":"arXiv preprint arXiv 2005 06138"},{"key":"ref16","first-page":"1746","article-title":"Automated synthetic-to-real generalization","author":"chen","year":"2020","journal-title":"International Conference on Machine Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRAE50850.2020.9310796"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107407"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00239"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP49062.2020.9231566"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3411408.3411409"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3018325"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2017.1365009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IISA52424.2021.9555526"},{"key":"ref7","article-title":"Opendr: An open toolkit for enabling high performance, low footprint deep learning for robotics","author":"passalis","year":"2022","journal-title":"arXiv preprint arXiv 2203 00403"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.11.022"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7068349"},{"key":"ref9","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proceedings of the Advances in Neural Information Processing Systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.407"},{"key":"ref22","article-title":"Human reidentification with transferred metric learning","author":"li","year":"2012","journal-title":"ACCV"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.461"}],"event":{"name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","start":{"date-parts":[[2022,7,18]]},"location":"Corfu, Greece","end":{"date-parts":[[2022,7,20]]}},"container-title":["2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9903994\/9904331\/09904394.pdf?arnumber=9904394","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T20:55:09Z","timestamp":1665780909000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9904394\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/iisa56318.2022.9904394","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}