{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T06:21:07Z","timestamp":1774333267205,"version":"3.50.1"},"reference-count":75,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Postdoctoral Fellowship Program of CPSF","award":["GZC20240163"],"award-info":[{"award-number":["GZC20240163"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62403066"],"award-info":[{"award-number":["62403066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2024M750747"],"award-info":[{"award-number":["2024M750747"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Henan Provincial Science and Technology Research and Development Joint Foundation Project","award":["235200810066"],"award-info":[{"award-number":["235200810066"]}]},{"name":"Key Research and Development Project of Henan Province","award":["241111211800"],"award-info":[{"award-number":["241111211800"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tmm.2025.3543084","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T13:36:16Z","timestamp":1739799376000},"page":"5130-5143","source":"Crossref","is-referenced-by-count":7,"title":["Constructing Balanced Training Samples: A New Perspective on Long-Tailed Classification"],"prefix":"10.1109","volume":"27","author":[{"given":"Wenyi","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6601-9148","authenticated-orcid":false,"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Yuhan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3857-3982","authenticated-orcid":false,"given":"Lu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Zhenhao","family":"Liang","sequence":"additional","affiliation":[{"name":"Beijing Normal University, Beijing, China"}]},{"given":"Enwen","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2495-4469","authenticated-orcid":false,"given":"Weidong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6334-4044","authenticated-orcid":false,"given":"Huihua","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00678"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02208"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3106096"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3358080"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/taes.2024.3456748"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00497"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01182"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3306968"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02160"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","article-title":"Decoupling representation and classifier for long-tailed recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kang","year":"2020"},{"key":"ref12","article-title":"Exploring balanced feature spaces for representation learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kang","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01518"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00067"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00517"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_34"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3407679"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00677"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01517"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00444"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00075"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01845"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02312"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3267887"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3181789"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3179902"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681178"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110896"},{"key":"ref30","article-title":"Representation learning with contrastive predictive coding","author":"Oord","year":"2018"},{"key":"ref31","first-page":"1849","article-title":"Improved deep metric learning with multi-class n-pair loss objective","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sohn","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00141"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01912"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_37"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01082"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01766"},{"key":"ref37","article-title":"Improved baselines with momentum contrastive learning","author":"Chen","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00950"},{"key":"ref39","article-title":"RegionCL: Can simple region swapping contribute to contrastive learning?","author":"Xu","year":"2021"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3262608"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01136"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3221611"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01913"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3298937"},{"key":"ref46","article-title":"Mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang","year":"2018"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref48","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Khosla","year":"2020"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.10.058"},{"key":"ref50","article-title":"Long-tail learning via logit adjustment","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Menon","year":"2020"},{"key":"ref51","first-page":"92","article-title":"The cross-entropy method: A unified approach to combinatorial optimization, Monte-Carlo simulation, and machine learning","author":"Blossom","year":"2006"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00974"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19912"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00676"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00679"},{"key":"ref57","first-page":"2021","article-title":"Long-tailed recognition by routing diverse distribution-aware experts","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01643-3"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00680"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01519"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3303697"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3174892"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3314980"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3303697"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-01983-2"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00264"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00914"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref69","first-page":"1567","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Cao","year":"2019"},{"key":"ref70","first-page":"4175","article-title":"Balanced meta-softmax for long-tailed visual recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ren","year":"2020"},{"key":"ref71","first-page":"2022","article-title":"Delving into semantic scale imbalance","volume-title":"Proc. 11th Int. Conf. Learn. Representations","author":"Ma"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3278694"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3298433"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3200091"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3369102"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6046\/10844992\/10891441.pdf?arnumber=10891441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T18:10:24Z","timestamp":1756404624000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10891441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":75,"URL":"https:\/\/doi.org\/10.1109\/tmm.2025.3543084","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}