{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T02:34:21Z","timestamp":1775615661095,"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\/wacv45572.2020.9093579","type":"proceedings-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T03:41:09Z","timestamp":1589514069000},"page":"3119-3128","source":"Crossref","is-referenced-by-count":40,"title":["Generative Pseudo-label Refinement for Unsupervised Domain Adaptation"],"prefix":"10.1109","author":[{"given":"Pietro","family":"Morerio","sequence":"first","affiliation":[]},{"given":"Riccardo","family":"Volpi","sequence":"additional","affiliation":[]},{"given":"Ruggero","family":"Ragonesi","sequence":"additional","affiliation":[]},{"given":"Vittorio","family":"Murino","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"2110","article-title":"Learning transferrable representations for unsupervised domain adaptation","author":"sener","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00887"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00845"},{"key":"ref32","article-title":"Deep learning is robust to massive label noise","author":"rolnick","year":"2017","journal-title":"CoRR"},{"key":"ref31","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2016","journal-title":"Proceedings of the International Conference on Learning Representations (ICLR)"},{"key":"ref30","article-title":"Visda: The visual domain adaptation challenge","author":"peng","year":"2017","journal-title":"CoRR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref36","article-title":"Adversarial dropout regularization","author":"saito","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref35","first-page":"2988","article-title":"Asymmetric tri-training for unsupervised domain adaptation","author":"saito","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning ICML 2017"},{"key":"ref34","first-page":"213","article-title":"Adapting visual category models to new domains","author":"saenko","year":"2010","journal-title":"Proceedings of the 11th European Conference on Computer Vision Part IV ECCV’10"},{"key":"ref28","article-title":"Reading digits in natural images with unsupervised feature learning","author":"netzer","year":"2011","journal-title":"Proc Deep Learning and Unsupervised Feature Learning Workshop NIPS 2011"},{"key":"ref27","article-title":"Minimal-entropy correlation alignment for unsupervised deep domain adaptation","author":"morerio","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref29","first-page":"11","author":"pearson","year":"1992","journal-title":"On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to Have Arisen from Random Sampling"},{"key":"ref2","article-title":"BEGAN: boundary equilibrium generative adversarial networks","author":"berthelot","year":"2017","journal-title":"CoRR"},{"key":"ref1","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning volume 70 of Proceedings of Machine Learning Research"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref22","first-page":"469","article-title":"Coupled generative adversarial networks","author":"liu","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref21","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"2017","journal-title":"CoRR"},{"key":"ref24","article-title":"Multi-class generative adversarial networks with the L2 loss function","author":"mao","year":"2016","journal-title":"CoRR"},{"key":"ref23","article-title":"Are gans created equal? A large-scale study","author":"lucic","year":"2017","journal-title":"CoRR"},{"key":"ref26","article-title":"Spectral normalization for generative adversarial networks","author":"miyato","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref25","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"CoRR"},{"key":"ref10","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27"},{"key":"ref11","article-title":"NIPS 2016 tutorial: Generative adversarial networks","author":"goodfellow","year":"2017","journal-title":"CoRR"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_14"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.301"},{"key":"ref13","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"CoRR"},{"key":"ref14","first-page":"6626","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref15","first-page":"1989","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation. In J. Dy and A. Krause, editors","author":"hoffman","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning Volume 80 of Proceedings of Machine Learning Research"},{"key":"ref16","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","author":"lee","year":"2013","journal-title":"Proceedings of ICML 2013 Workshop on Challenges in Representation Learning"},{"key":"ref17","article-title":"Progressive growing of GANs for improved quality, stability, and variation","author":"karras","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref18","article-title":"How to train your DRAGAN","author":"kodali","year":"2017","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref4","first-page":"343","article-title":"Domain separation networks","author":"bousmalis","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.18"},{"key":"ref6","first-page":"323","article-title":"Advances in neural information processing systems 1","author":"denker","year":"1989","journal-title":"chapter Neural Network Recognizer for Handwritten Zip Code Digits"},{"key":"ref5","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"brock","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref8","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref7","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"2015","journal-title":"Proceedings of the 32nd International Conference on Machine Learning ICML 2015"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref9","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995347"},{"key":"ref45","first-page":"10271","article-title":"Robustness of conditional gans to noisy labels","author":"thekumparampil","year":"2018","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00576"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10463-011-0343-8"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5626\/JCSE.2013.7.2.99"},{"key":"ref44","article-title":"Unsupervised cross-domain image generation","author":"taigman","year":"2017","journal-title":"Proceedings of the International Conference on Learning Representations (ICLR)"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/978-3-319-49409-8_35","article-title":"Deep CORAL: correlation alignment for deep domain adaptation","author":"sun","year":"2016","journal-title":"Computer Vision - ECCV 2016 Workshops"}],"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\/09093579.pdf?arnumber=9093579","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:17:57Z","timestamp":1656602277000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093579\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093579","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}