{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:50:25Z","timestamp":1777657825529,"version":"3.51.4"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2018YFB1305200"],"award-info":[{"award-number":["2018YFB1305200"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171183"],"award-info":[{"award-number":["62171183"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2022JJ20017"],"award-info":[{"award-number":["2022JJ20017"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/taffc.2023.3285231","type":"journal-article","created":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T17:18:30Z","timestamp":1686676710000},"page":"593-605","source":"Crossref","is-referenced-by-count":31,"title":["Transformer-Augmented Network With Online Label Correction for Facial Expression Recognition"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0483-8866","authenticated-orcid":false,"given":"Fuyan","family":"Ma","sequence":"first","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7029-8784","authenticated-orcid":false,"given":"Bin","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0585-9848","authenticated-orcid":false,"given":"Shutao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/34.908962"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref3","first-page":"65","article-title":"Induced disgust, happiness and surprise: An addition to the MMI facial expression database","volume-title":"Proc. Int. Workshop Emotion: Corpora Res. Emotion Affect","author":"Valstar"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2011.07.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2005.1530069"},{"issue":"2","key":"ref6","article-title":"Facial expression recognition with local binary patterns and linear programming","volume":"15","author":"Feng","year":"2005","journal-title":"Pattern Recognit. Image Anal. C\/C Raspoznavaniye Obrazov I Analiz Izobrazhenii"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334109"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2346515"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2868382"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2993165"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2740923"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997639"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.2006.18.4.580"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545853"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247974"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2386334"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2956143"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref20","article-title":"Deep learning using linear support vector machines","author":"Tang","year":"2013"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2886767"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3093397"},{"key":"ref23","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_14"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00693"},{"key":"ref26","article-title":"MViT: Mask vision transformer for facial expression recognition in the wild","author":"Li","year":"2021"},{"key":"ref27","article-title":"Training deep neural networks on noisy labels with bootstrapping","author":"Reed","year":"2014"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3049955"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3072786"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3089942"},{"key":"ref31","first-page":"2304","article-title":"MentorNet: Learning data-driven curriculum for very deep neural networks on corrupted labels","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jiang"},{"key":"ref32","article-title":"Auxiliary image regularization for deep CNNs with noisy labels","author":"Azadi","year":"2015"},{"key":"ref33","article-title":"Attention is all you need","author":"Vaswani","year":"2017"},{"key":"ref34","article-title":"Toward transformer-based object detection","author":"Beal","year":"2020"},{"key":"ref35","article-title":"Trajformer: Trajectory prediction with local self-attentive contexts for autonomous driving","author":"Bhat","year":"2020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"ref37","article-title":"TransPose: Towards explainable human pose estimation by transformer","author":"Yang","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00863"},{"key":"ref39","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00358"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2021.3122146"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2022.3226473"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_6"},{"key":"ref47","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019"},{"key":"ref48","article-title":"Feature selection mechanism in CNNs for facial expression recognition","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Zhao"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2020.2988264"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2020.3031602"},{"key":"ref51","first-page":"17616","article-title":"Relative uncertainty learning for facial expression recognition","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/URTC.2017.8284175"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2921220"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190643"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IJCB48548.2020.9304923"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/tcds.2021.3100131"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_9"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00755"},{"issue":"11","key":"ref59","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/10542474\/10149390.pdf?arnumber=10149390","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T17:36:49Z","timestamp":1717177009000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10149390\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":61,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2023.3285231","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}