{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T19:58:13Z","timestamp":1766087893098,"version":"3.37.3"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"State Scholarship","award":["202106840002"],"award-info":[{"award-number":["202106840002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102182","61976116","61905114"],"award-info":[{"award-number":["62102182","61976116","61905114"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20210327"],"award-info":[{"award-number":["BK20210327"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["30920021135"],"award-info":[{"award-number":["30920021135"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["2021YFF0602101"],"award-info":[{"award-number":["2021YFF0602101"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tmm.2022.3181439","type":"journal-article","created":{"date-parts":[[2022,6,9]],"date-time":"2022-06-09T20:27:23Z","timestamp":1654806443000},"page":"4691-4703","source":"Crossref","is-referenced-by-count":15,"title":["Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8724-5796","authenticated-orcid":false,"given":"Chuanyi","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0329-7458","authenticated-orcid":false,"given":"Guosheng","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4193-0960","authenticated-orcid":false,"given":"Qiong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7303-3231","authenticated-orcid":false,"given":"Fumin","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0337-9410","authenticated-orcid":false,"given":"Yazhou","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenmin","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2330813"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.128"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00265"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33676-9_5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00749"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2774041"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.290"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.775"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00315"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00436"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2399298"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00530"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2393363"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00515"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.130"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2684626"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967213"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903036"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.557"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.002"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.688"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298880"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_54"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3089942"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3414044"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2599102"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.132"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.476"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2705122"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00524"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2942030"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00976"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00961"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413851"},{"key":"ref5","first-page":"562","article-title":"Region graph embedding network for zero-shot learning","author":"xie","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref40","first-page":"1917","article-title":"Meta-weight-net: Learning an explicit mapping for sample weighting","author":"shu","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01331-0"},{"key":"ref34","first-page":"5907","article-title":"SELFIE: Refurbishing unclean samples for robust deep learning","author":"song","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref78","first-page":"1","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"loshchilov","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref37","first-page":"10456","article-title":"Using trusted data to train deep networks on labels corrupted by severe noise","author":"hendrycks","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2852750"},{"key":"ref31","first-page":"7164","article-title":"How does disagreement help generalization against label corruption?","author":"yu","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"article-title":"Fine-grained visual classification of aircraft","year":"2013","author":"maji","key":"ref75"},{"key":"ref30","first-page":"960","article-title":"Decoupling “when to update” from “how to update","author":"malach","year":"0","journal-title":"Proc Conf Workshop Neural Inf Process Syst"},{"article-title":"The caltech-UCSD birds-200-2011 dataset","year":"2011","author":"wah","key":"ref74"},{"key":"ref33","first-page":"1","article-title":"Training deep neural-networks using a noise adaptation layer","author":"goldberger","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01374"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2847248"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2869721"},{"key":"ref39","first-page":"4334","article-title":"Learning to reweight examples for robust deep learning","author":"ren","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.211"},{"article-title":"Training deep neural networks on noisy labels with bootstrapping","year":"2014","author":"reed","key":"ref71"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475536"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10894"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00515"},{"key":"ref23","first-page":"233","article-title":"A closer look at memorization in deep networks","author":"arpit","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2966644"},{"key":"ref26","first-page":"24392","article-title":"Understanding and improving early stopping for learning with noisy labels","volume":"34","author":"bai","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00041"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3055024"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6973"},{"key":"ref64","first-page":"2691","article-title":"Learning from massive noisy labeled data for image classification","author":"xiao","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298894"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01043"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298658"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413978"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2456899"},{"key":"ref27","first-page":"1","article-title":"Robust early-learning: Hindering the memorization of noisy labels","author":"xia","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref29","first-page":"8527","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","author":"han","year":"0","journal-title":"Proc Conf Workshop Neural Inf Process Syst"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2531289"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2637331"},{"key":"ref61","first-page":"1","article-title":"Bird species categorization using pose normalized deep convolutional nets","author":"branson","year":"0","journal-title":"Proc Brit Mach Vis Conf"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10016790\/09793364.pdf?arnumber=9793364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T20:03:44Z","timestamp":1701115424000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9793364\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":78,"URL":"https:\/\/doi.org\/10.1109\/tmm.2022.3181439","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"type":"print","value":"1520-9210"},{"type":"electronic","value":"1941-0077"}],"subject":[],"published":{"date-parts":[[2023]]}}}