{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T23:08:49Z","timestamp":1729638529826,"version":"3.28.0"},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T00:00:00Z","timestamp":1621382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T00:00:00Z","timestamp":1621382400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T00:00:00Z","timestamp":1621382400000},"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":[[2021,5,19]]},"DOI":"10.1109\/saci51354.2021.9465555","type":"proceedings-article","created":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T20:24:34Z","timestamp":1625084674000},"page":"000437-000442","source":"Crossref","is-referenced-by-count":1,"title":["Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning"],"prefix":"10.1109","author":[{"given":"Levente","family":"Kovacs","sequence":"first","affiliation":[]},{"given":"Gabor","family":"Kertesz","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.11.004"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s20092684"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2019.0409"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33212-8_18"},{"key":"ref37","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref35","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref34","first-page":"214","article-title":"Traffic sign detection with convolutional neural networks","author":"peng","year":"2016","journal-title":"International Conference on Cognitive Systems and Signal Processing"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref40","article-title":"An analysis of deep neural network models for practical applications","author":"canziani","year":"2016","journal-title":"arXiv preprint arXiv 1605 07678"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.232"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2011.6033395"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6706807"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-011-0391-3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2209421"},{"key":"ref16","first-page":"1440","article-title":"Fast r-cnn","author":"girshick","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref17","article-title":"Faster r-cnn: Towards realtime object detection with region proposal networks","author":"ren","year":"2015","journal-title":"arXiv preprint arXiv 1506 01070"},{"key":"ref18","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref19","first-page":"1476","article-title":"S4l: Self-supervised semi-supervised learning","author":"zhai","year":"2019","journal-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision"},{"key":"ref28","article-title":"Using selfsupervised learning can improve model robustness and uncertainty","author":"hendrycks","year":"2019","journal-title":"arXiv preprint arXiv 1906 10026"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaf2654"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00649"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/app11041467"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.02.016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_35"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-60243-6_10"},{"key":"ref8","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"lecun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6707049"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1561\/0600000079"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-7998-3479-3.ch001"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-24876-0"},{"key":"ref46","doi-asserted-by":"crossref","DOI":"10.12700\/APH.14.6.2017.6.8","article-title":"Configuring genetic algorithm to solve the inverse heat conduction problem","volume":"14","author":"sz\u00e9n\u00e1si","year":"2017","journal-title":"Acta Polytechnica Hungarica"},{"key":"ref45","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_40"},{"key":"ref48","doi-asserted-by":"crossref","DOI":"10.12700\/APH.17.3.2020.3.2","article-title":"Reducing the computational requirements in the mamdani-type fuzzy control","volume":"17","author":"dombi","year":"2020","journal-title":"Acta Polytechnica Hungarica"},{"key":"ref21","first-page":"3951","article-title":"Focalmix: Semisupervised learning for 3d medical image detection","author":"wang","year":"2020","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.12700\/APH.17.6.2020.6.5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891970"},{"key":"ref42","volume":"361","author":"chollet","year":"2018","journal-title":"Deep Learning with Python"},{"key":"ref23","article-title":"Pushing the limits of semi-supervised learning for automatic speech recognition","author":"zhang","year":"2020","journal-title":"arXiv preprint arXiv 2010 10504"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00975"},{"journal-title":"Learning OpenCV Computer Vision With the OpenCV Library","year":"2008","author":"bradski","key":"ref44"},{"key":"ref25","article-title":"A simple semi-supervised learning framework for object detection","author":"sohn","year":"2020","journal-title":"arXiv preprint arXiv 2005 06138"},{"key":"ref43","first-page":"265","article-title":"Tensorflow: A system for largescale machine learning","author":"abadi","year":"2016","journal-title":"12th fUSENIXg Symposium on Operating Systems Design and Implementation (fOSDIg 16)"}],"event":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","start":{"date-parts":[[2021,5,19]]},"location":"Timisoara, Romania","end":{"date-parts":[[2021,5,21]]}},"container-title":["2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9465482\/9465540\/09465555.pdf?arnumber=9465555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,5]],"date-time":"2023-11-05T13:45:15Z","timestamp":1699191915000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9465555\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,19]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/saci51354.2021.9465555","relation":{},"subject":[],"published":{"date-parts":[[2021,5,19]]}}}