{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:02:35Z","timestamp":1778083355244,"version":"3.51.4"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"China National Key R&D Program","award":["2023YFE0202700"],"award-info":[{"award-number":["2023YFE0202700"]}]},{"name":"Key-Area Research and Development Program of Guangzhou City","award":["2023B01J0022"],"award-info":[{"award-number":["2023B01J0022"]}]},{"name":"Guangdong International Technology Cooperation Project","award":["2022A0505050009"],"award-info":[{"award-number":["2022A0505050009"]}]},{"name":"Guangdong Natural Science Funds for Distinguished Young Scholar","award":["2023B1515020097"],"award-info":[{"award-number":["2023B1515020097"]}]},{"name":"Singapore MOE Tier 1 Funds","award":["MSS23C002"],"award-info":[{"award-number":["MSS23C002"]}]},{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","award":["AISG3-GV-2023-011"],"award-info":[{"award-number":["AISG3-GV-2023-011"]}],"id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302170"],"award-info":[{"award-number":["62302170"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tmm.2024.3400695","type":"journal-article","created":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T17:33:13Z","timestamp":1715621593000},"page":"9866-9879","source":"Crossref","is-referenced-by-count":3,"title":["Delving Into Important Samples of Semi-Supervised Old Photo Restoration: A New Dataset and Method"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0665-1993","authenticated-orcid":false,"given":"Weiwei","family":"Cai","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7662-9831","authenticated-orcid":false,"given":"Huaidong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8006-3663","authenticated-orcid":false,"given":"Xuemiao","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0377-8646","authenticated-orcid":false,"given":"Chenshu","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Singapore Management University, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0738-9958","authenticated-orcid":false,"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Philosophy Department, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3802-4644","authenticated-orcid":false,"given":"Shengfeng","family":"He","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Singapore Management University, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00282"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475666"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3481544"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00177"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238360"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073274"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.906269"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587704"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3256372"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00158"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_28"},{"key":"ref14","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Sohn","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16852"},{"key":"ref16","first-page":"18408","article-title":"Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Zhang","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00421"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00297"},{"key":"ref19","article-title":"Consistency-based semi-supervised learning for object detection","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Jeong","year":"2019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01269"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2903628"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3199922"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3241539"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3256065"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00280"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00764"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2952690"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3062184"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00409"},{"key":"ref30","first-page":"2983","article-title":"Adversarial self-supervised contrastive learning","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Kim","year":"2020"},{"key":"ref31","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Khosla","year":"2020"},{"key":"ref32","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Caron","year":"2020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00084"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01041"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00206"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_30"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3194090"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/s22218580"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.02.033"},{"key":"ref40","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Tarvainen","year":"2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3209889"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00576"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_43"},{"key":"ref46","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Heusel","year":"2017"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10384483\/10530110.pdf?arnumber=10530110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T07:19:11Z","timestamp":1726730351000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10530110\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/tmm.2024.3400695","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}