{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:36:32Z","timestamp":1765233392552,"version":"3.37.3"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3206040","type":"journal-article","created":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T19:50:46Z","timestamp":1663012246000},"page":"97945-97953","source":"Crossref","is-referenced-by-count":4,"title":["Exploiting the Tail Data for Long-Tailed Face Recognition"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4505-4059","authenticated-orcid":false,"given":"Song","family":"Guo","sequence":"first","affiliation":[{"name":"Fujitsu Research and Development Center Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rujie","family":"Liu","sequence":"additional","affiliation":[{"name":"Fujitsu Research and Development Center Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengjiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Fujitsu Research and Development Center Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1465-9714","authenticated-orcid":false,"given":"Meng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Fujitsu Research and Development Center Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shijie","family":"Nie","sequence":"additional","affiliation":[{"name":"Fujitsu Research and Development Center Company Ltd., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Septiana","family":"Lina","sequence":"additional","affiliation":[{"name":"Fujitsu Laboratories Ltd., Kawasaki, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Narishige","family":"Abe","sequence":"additional","affiliation":[{"name":"Fujitsu Laboratories Ltd., Kawasaki, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01035"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00166"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451704"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.363"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.578"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00585"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01222"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00800"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01400"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00264"},{"key":"ref13","first-page":"1919","article-title":"Meta-Weight-Net: Learning an explicit mapping for sample weighting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Shu"},{"key":"ref14","first-page":"1","article-title":"Decoupling representation and classifier for long-tailed recognition","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kang"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00974"},{"key":"ref16","first-page":"19290","article-title":"Rethinking the value of labels for improving class-imbalanced learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Yang"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"volume-title":"The iNatrualist Competition Dataset","year":"2018","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16458"},{"key":"ref20","first-page":"1","article-title":"MixUp: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zhang"},{"key":"ref21","first-page":"1","article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","volume-title":"Proc. Workshop Faces \u2018Real-Life\u2019 Images, Detection, Alignment, Recognit.","author":"Huang"},{"key":"ref22","article-title":"Cross-Age LFW: A database for studying Cross-age face recognition in unconstrained environments","author":"Zheng","year":"2017","journal-title":"arXiv:1708.08197"},{"article-title":"Cross-Pose LFW: A database for studying cross-pose face recognition in unconstrained environments","year":"2018","author":"Zheng","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.250"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477558"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.527"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.87"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICB2018.2018.00033"},{"key":"ref29","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09887937.pdf?arnumber=9887937","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T20:36:46Z","timestamp":1705955806000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9887937\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3206040","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}