{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:21:44Z","timestamp":1740100904688,"version":"3.37.3"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62006253,61976250,U1811463"],"award-info":[{"award-number":["62006253,61976250,U1811463"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","award":["2020b1515020048"],"award-info":[{"award-number":["2020b1515020048"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/icme52920.2022.9859594","type":"proceedings-article","created":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T19:45:18Z","timestamp":1661543118000},"page":"01-06","source":"Crossref","is-referenced-by-count":4,"title":["Discovering Implicit Classes Achieves Open Set Domain Adaptation"],"prefix":"10.1109","author":[{"given":"Jingyu","family":"Zhuang","sequence":"first","affiliation":[{"name":"Sun Yat-sen University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziliang","family":"Chen","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengxu","family":"Wei","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanbin","family":"Li","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Lin","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Few-shot structured domain adap-tation for virtual-to-real scene parsing","author":"zhang","year":"2019","journal-title":"ICCV"},{"key":"ref11","article-title":"Domain adaptation for retinal vessel segmentation using asymmetrical maximum clas-sifier discrepancy","author":"zhuang","year":"2019","journal-title":"ACM Turing"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00304"},{"key":"ref13","first-page":"6468","article-title":"Progressive graph learning for open-set domain adaptation","author":"luo","year":"2020","journal-title":"ICML"},{"key":"ref14","article-title":"Learning to discover novel visual cate-gories via deep transfer clustering","author":"han","year":"2019","journal-title":"ICCV"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_28"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1_10"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCSW.2011.20"},{"key":"ref4","article-title":"Towards inheritable mod-els for open-set domain adaptation","author":"nath kundu","year":"2020","journal-title":"CVPR"},{"key":"ref3","first-page":"6028","article-title":"Do we really need to access the source data? source hypothesis transfer for unsupervised do-main adaptation","author":"liang","year":"2020","journal-title":"ICML"},{"key":"ref6","article-title":"A dirt-t approach to unsupervised do-main adaptation","author":"shu","year":"0","journal-title":"ArXiv Preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/352"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01463-x"},{"key":"ref7","article-title":"Automatically discovering and learning new visual categories with ranking statistics","author":"han","year":"2020","journal-title":"ICLRE"},{"key":"ref2","article-title":"Open set do-main adaptation by backpropagation","author":"saito","year":"2018","journal-title":"ECCV"},{"key":"ref1","first-page":"754","article-title":"Open set domain adaptation","author":"panareda busto","year":"2017","journal-title":"ICCV"},{"key":"ref9","article-title":"Blending-target domain adaptation by ad-versarial meta-adaptation networks","author":"chen","year":"2019","journal-title":"CVPR"}],"event":{"name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2022,7,18]]},"location":"Taipei, Taiwan","end":{"date-parts":[[2022,7,22]]}},"container-title":["2022 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9859562\/9858923\/09859594.pdf?arnumber=9859594","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T20:24:40Z","timestamp":1663619080000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9859594\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icme52920.2022.9859594","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}