{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:38:45Z","timestamp":1761061125661,"version":"3.37.3"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Major Project for New Generation of AI","award":["2018AAA0100400"],"award-info":[{"award-number":["2018AAA0100400"]}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61703171"],"award-info":[{"award-number":["61703171"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"NSF of Hubei Province of China","doi-asserted-by":"publisher","award":["2018CFB199"],"award-info":[{"award-number":["2018CFB199"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Elite Scientists Sponsorship Program by CAST"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2020.3018221","type":"journal-article","created":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T20:43:40Z","timestamp":1598993020000},"page":"2549-2561","source":"Crossref","is-referenced-by-count":56,"title":["Affinity Space Adaptation for Semantic Segmentation Across Domains"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9384-8710","authenticated-orcid":false,"given":"Wei","family":"Zhou","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0173-6880","authenticated-orcid":false,"given":"Yukang","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2495-4936","authenticated-orcid":false,"given":"Jiajia","family":"Chu","sequence":"additional","affiliation":[]},{"given":"Jiehua","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3449-5940","authenticated-orcid":false,"given":"Xiang","family":"Bai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7253-3151","authenticated-orcid":false,"given":"Yongchao","family":"Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00145"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2924174"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00400"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_42"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839528"},{"key":"ref36","first-page":"1","article-title":"Adversarial dropout regularization","author":"saito","year":"2017","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref35","first-page":"136","article-title":"Unsupervised domain adaptation with residual transfer networks","author":"long","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","first-page":"5419","article-title":"Learning semantic representations for unsupervised domain adaptation","author":"xie","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.220"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101570"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2011.5999143"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-597345-8.50011-X"},{"key":"ref65","first-page":"1","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc NIPS Workshop"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2397313"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2930874"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00733"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.181"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.352"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00710"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref58","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00693"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015581"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1072-8"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_42"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_35"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_6"},{"key":"ref10","first-page":"1994","article-title":"Cycada: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref11","article-title":"FCNs in the wild: Pixel-level adversarial and constraint-based adaptation","author":"hoffman","year":"2016","journal-title":"arXiv 1612 02649"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910667"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00395"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00712"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref15","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Proc 18th Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref16","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref17","first-page":"1520","article-title":"Learning affinity via spatial propagation networks","author":"liu","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref19","article-title":"OCNet: Object context network for scene parsing","author":"yuan","year":"2018","journal-title":"arXiv 1809 00916"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_17"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00747"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019283"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_36"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00200"},{"key":"ref9","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00107"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00261"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_32"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00688"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00154"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00218"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09184275.pdf?arnumber=9184275","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:59Z","timestamp":1652194259000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9184275\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3018221","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2021]]}}}