{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T04:54:59Z","timestamp":1725684899501},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"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":[[2021,6,14]]},"DOI":"10.1109\/wf-iot51360.2021.9594927","type":"proceedings-article","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T15:44:20Z","timestamp":1636472660000},"page":"807-811","source":"Crossref","is-referenced-by-count":1,"title":["DETECTren: Vehicle Object Detection Using Self-Supervised Learning based on Light-Weight Network for Low-Power Devices"],"prefix":"10.1109","author":[{"given":"Hans","family":"Fuhrmann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anthony","family":"Boyko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed H.","family":"Abdelpakey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed S.","family":"Shehata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref38","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics JMLR Workshop and Conference Proceedings"},{"key":"ref33","first-page":"658","article-title":"Generalized intersection over union","author":"rezatofighi","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6999"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00300"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.07.018"},{"key":"ref37","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00674"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.76"},{"key":"ref40","first-page":"192","author":"zhang","year":"2009","journal-title":"Average Precision"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref12","article-title":"A simple frame-work for contrastive learning of visual representations","author":"chen","year":"2020","journal-title":"arXiv preprint arXiv 2002 05155"},{"key":"ref13","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"grill","year":"2020","journal-title":"arXiv preprint arXiv 2006 04989"},{"key":"ref14","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","author":"caron","year":"2020","journal-title":"arXiv preprint arXiv 2006 04989"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.062"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460564"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00256"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.70"},{"key":"ref19","first-page":"6391","article-title":"Scaling and bench-marking self-supervised visual representation learning","author":"goyal","year":"2019","journal-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00304"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_35"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1109\/CVPR.2016.91","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2016","journal-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00289"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_32"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00682"},{"key":"ref5","first-page":"99","article-title":"Cross pixel optical-flow similarity for self-supervised learning","author":"mahendran","year":"2018","journal-title":"Asian Conference on Computer Vision"},{"key":"ref8","first-page":"2536","article-title":"Context encoders: Feature learning by inpainting","author":"pathak","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.638"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.149"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.13"},{"key":"ref20","first-page":"224","article-title":"Superpoint: Self-supervised interest point detection and description","author":"detone","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2932874"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_2"},{"key":"ref24","article-title":"Sim2real for self-supervised monocular depth and segmentation","author":"raghavan","year":"2020","journal-title":"2012 arXiv preprint arXiv"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00715"},{"key":"ref26","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv preprint arXiv 1804 02767"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01229"}],"event":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","start":{"date-parts":[[2021,6,14]]},"location":"New Orleans, LA, USA","end":{"date-parts":[[2021,7,31]]}},"container-title":["2021 IEEE 7th World Forum on Internet of Things (WF-IoT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9594899\/9594917\/09594927.pdf?arnumber=9594927","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:50:43Z","timestamp":1652187043000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9594927\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,14]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/wf-iot51360.2021.9594927","relation":{},"subject":[],"published":{"date-parts":[[2021,6,14]]}}}