{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:42:32Z","timestamp":1755801752139,"version":"3.44.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"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":[[2019,6]]},"DOI":"10.1109\/ivs.2019.8814090","type":"proceedings-article","created":{"date-parts":[[2019,8,29]],"date-time":"2019-08-29T21:11:26Z","timestamp":1567113086000},"page":"702-708","source":"Crossref","is-referenced-by-count":6,"title":["Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks"],"prefix":"10.1109","author":[{"given":"Dominic","family":"Spata","sequence":"first","affiliation":[{"name":"Institute for Neural Computation, Ruhr University of Bochum, Universitätsstraße 150, Bochum, 44801"}]},{"given":"Daniela","family":"Horn","sequence":"additional","affiliation":[{"name":"Institute for Neural Computation, Ruhr University of Bochum, Universitätsstraße 150, Bochum, 44801"}]},{"given":"Sebastian","family":"Houben","sequence":"additional","affiliation":[{"name":"Institute for Neural Computation, Ruhr University of Bochum, Universitätsstraße 150, Bochum, 44801"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/CVPR.2017.19"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/IJCNN.2011.6033589"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1016\/j.robot.2012.07.019"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/IJCNN.2013.6707049"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1007\/s11042-014-2293-7"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/TITS.2012.2209421"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1007\/978-3-642-21227-7_23"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1007\/s00138-011-0391-3"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.5194\/isprsannals-II-3-W3-13-2013"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1007\/978-3-319-02895-8_52"},{"key":"ref4","first-page":"2172","article-title":"Infogan: Interpretable representation learning by information maximizing generative adversarial nets","author":"chen","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"year":"2016","author":"shrivastava","journal-title":"Learning from simulated and unsupervised images through adversarial training","key":"ref27"},{"year":"2015","author":"radford","journal-title":"Unsupervised Representation learning with deep convolutional generative adversarial networks CoRR","key":"ref3"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/ICCV.2017.244"},{"year":"2016","author":"odena","journal-title":"Conditional image synthesis with auxiliary classifier gans","key":"ref5"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1007\/978-3-319-46475-6_43"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref2","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/CVPR.2017.632"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.neunet.2012.02.016"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/ICPR.2018.8545787"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","author":"cortes","year":"1995","journal-title":"Machine Learning"},{"year":"2016","author":"gross","journal-title":"Training and investigating residual nets","key":"ref24"},{"year":"2016","author":"ulyanov","journal-title":"Instance normalization The missing ingredient for fast stylization","key":"ref23"},{"year":"2014","author":"kingma","journal-title":"Adam A method for stochastic optimization","key":"ref26"},{"year":"2016","author":"mao","journal-title":"Multiclass generative adversarial networks with the 12 loss function","key":"ref25"}],"event":{"name":"2019 IEEE Intelligent Vehicles Symposium (IV)","start":{"date-parts":[[2019,6,9]]},"location":"Paris, France","end":{"date-parts":[[2019,6,12]]}},"container-title":["2019 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8792328\/8813768\/08814090.pdf?arnumber=8814090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T18:30:56Z","timestamp":1755714656000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8814090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ivs.2019.8814090","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}