{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T02:22:49Z","timestamp":1730254969990,"version":"3.28.0"},"reference-count":54,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956292","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T14:34:13Z","timestamp":1669732453000},"page":"2914-2920","source":"Crossref","is-referenced-by-count":0,"title":["Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks"],"prefix":"10.1109","author":[{"given":"Suman","family":"Sapkota","sequence":"first","affiliation":[{"name":"NAAMII,Nepal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bidur","family":"Khanal","sequence":"additional","affiliation":[{"name":"NAAMII,Nepal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binod","family":"Bhattarai","sequence":"additional","affiliation":[{"name":"Imperial College,London,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bishesh","family":"Khanal","sequence":"additional","affiliation":[{"name":"NAAMII,Nepal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tae-Kyun","family":"Kim","sequence":"additional","affiliation":[{"name":"Imperial College,London,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"cgans with projection discriminator","author":"miyato","year":"2018","journal-title":"ICLRE"},{"key":"ref38","article-title":"Don’t let your discriminator be fooled","author":"zhou","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref33","article-title":"Wasserstein gan","author":"arjovsky","year":"2017","journal-title":"arXiv preprint arXiv 1701 07875"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00955"},{"key":"ref31","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"2017","journal-title":"NeurIPS"},{"key":"ref30","article-title":"Multimodal unsupervised image-to-image translation","author":"huang","year":"2018","journal-title":"ECCV"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00823"},{"key":"ref36","article-title":"Consistency regularization for generative adversarial networks","author":"zhang","year":"2020","journal-title":"ICLRE"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01243"},{"key":"ref34","article-title":"Which training methods for gans do actually converge?","author":"mescheder","year":"2018","journal-title":"ICML"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00833"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.629"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00878"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref20","article-title":"Spectral normalization for generative adversarial networks","author":"miyato","year":"2018","journal-title":"ICLRE"},{"key":"ref22","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv preprint arXiv 1411 1784"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00442"},{"key":"ref24","article-title":"Infogan: Interpretable representation learning by information maximizing generative adversarial nets","author":"chen","year":"2016","journal-title":"NIPS"},{"key":"ref23","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NeurIPS"},{"article-title":"Generative adversarial text to image synthesis","year":"2016","author":"reed","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.463"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00507"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_50"},{"key":"ref54","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"ECCV"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00818"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_14"},{"key":"ref11","article-title":"Seeing is not necessarily believing: Limitations of biggans for data augmentation","author":"ravuri","year":"2019","journal-title":"ICLRW"},{"key":"ref40","article-title":"Twin auxilary classifiers gan","author":"gong","year":"2019","journal-title":"NeurIPS"},{"key":"ref12","article-title":"How good is my gan?","author":"shmelkov","year":"2018","journal-title":"ECCV"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054677"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00379"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_5"},{"key":"ref16","first-page":"5265","article-title":"Cosface: Large margin cosine loss for deep face recognition","author":"wang","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00427"},{"key":"ref19","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"NeurIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref3","article-title":"Conditional image synthesis with auxiliary classifier gans","author":"odena","year":"2017","journal-title":"ICML"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916751"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101816"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00869"},{"key":"ref49","article-title":"Pixelcnn++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications","author":"salimans","year":"2017","journal-title":"ICLRE"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.241"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1080\/02699930903485076"},{"key":"ref45","article-title":"Contragan: Contrastive learning for conditional image generation","volume":"33","author":"kang","year":"2020","journal-title":"NeurIPS"},{"key":"ref48","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2016","journal-title":"ICLRE"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref47"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"ref41","article-title":"Unbiased auxiliary classifier gans with mine","author":"han","year":"2020","journal-title":"cvprw"},{"key":"ref44","article-title":"Teaching a gan what not to learn","volume":"33","author":"asokan","year":"2020","journal-title":"NeurIPS"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.244"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2022,8,21]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956292.pdf?arnumber=9956292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T14:41:54Z","timestamp":1672065714000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956292\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956292","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}