{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T14:10:25Z","timestamp":1783865425299,"version":"3.55.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Young Program of National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62002115"],"award-info":[{"award-number":["62002115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Plan of Hunan Province","award":["2021NK2020"],"award-info":[{"award-number":["2021NK2020"]}]},{"DOI":"10.13039\/501100018579","name":"Training Program for Excellent Young Innovators of Changsha","doi-asserted-by":"publisher","award":["kq2107020"],"award-info":[{"award-number":["kq2107020"]}],"id":[{"id":"10.13039\/501100018579","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009377","name":"Scientific Research Fund of Hunan Provincial Education Department","doi-asserted-by":"publisher","award":["21A0372"],"award-info":[{"award-number":["21A0372"]}],"id":[{"id":"10.13039\/100009377","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Basic Research of Shenzhen Science and Technology Plan","award":["JCYJ20210324123802006"],"award-info":[{"award-number":["JCYJ20210324123802006"]}]},{"name":"Changsha Municipal Natural Science Foundation","award":["kq2208290"],"award-info":[{"award-number":["kq2208290"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["x2wjD2230230"],"award-info":[{"award-number":["x2wjD2230230"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2022JJ40128"],"award-info":[{"award-number":["2022JJ40128"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tce.2023.3323373","type":"journal-article","created":{"date-parts":[[2023,10,13]],"date-time":"2023-10-13T17:57:08Z","timestamp":1697219828000},"page":"1029-1039","source":"Crossref","is-referenced-by-count":17,"title":["Efficient Vision Transformer for Human-Centric AIoT Applications Through Token Tracking Assignment"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3139-2583","authenticated-orcid":false,"given":"Chuang","family":"Li","sequence":"first","affiliation":[{"name":"College of Computer Science, Hunan University of Technology and Business, Changsha, Hunan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5549-4309","authenticated-orcid":false,"given":"Yujie","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Computer Science, Hunan University of Technology and Business, Changsha, Hunan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1330-0945","authenticated-orcid":false,"given":"Gang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangfan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7002-4564","authenticated-orcid":false,"given":"Xulei","family":"Yang","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology and Research, Traverse, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1389-0148","authenticated-orcid":false,"given":"Cen","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2837161"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3277856"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2022.3232478"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2017.015014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3385414"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2690902"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2993411"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-021-01110-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1021\/acsnano.1c07579"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2011.6069711"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2016.10.006"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2015.2417684"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.02.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.nanoen.2020.105414"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3079574"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2023.3310089"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ETFA.2018.8502468"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.566"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00039"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3024891"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04311-9"},{"key":"ref22","first-page":"10347","article-title":"Training data-efficient image transformers & distillation through attention","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Touvron"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3222765"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3093337.3037698"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.226"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2020.3006507"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3007456"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2944371"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3017079"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3264039"},{"key":"ref32","article-title":"Vision transformer pruning","author":"Zhu","year":"2021","journal-title":"arXiv:2104.08500"},{"key":"ref33","first-page":"13937","article-title":"DynamicViT: Efficient vision transformers with dynamic token sparsification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Rao"},{"key":"ref34","first-page":"1","article-title":"Not all patches are what you need: Expediting vision transformers via token reorganizations","volume-title":"Proc. ICIR","author":"Liang"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01054"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01082"},{"key":"ref37","first-page":"1","article-title":"Token merging: Your ViT but faster","volume-title":"Proc. ICLR","author":"Bolya"},{"key":"ref38","first-page":"1","article-title":"How to train your ViT? Data, augmentation, and regularization in vision transformers","volume-title":"Proc. TMLR","author":"Steine"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.97"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid49817.2020.00-93"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00088"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01185"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00044"},{"key":"ref46","first-page":"15908","article-title":"Transformer in transformer","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Han"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3058098"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20202"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3114420"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3208097"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3076119"},{"key":"ref54","first-page":"1","article-title":"SPViT: Enabling faster vision transformers via soft token pruning","volume-title":"Proc. ECCV","author":"Kong"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01170"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01181"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00476"},{"key":"ref59","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn. (PMLR)","author":"Tan"},{"key":"ref60","first-page":"1","article-title":"Fixing the train-test resolution discrepancy","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Touvron"},{"key":"ref61","first-page":"27319","article-title":"Dynamic resolution network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Zhu"},{"key":"ref62","first-page":"18590","article-title":"All tokens matter: Token labeling for training better vision transformers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Jiang"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/30\/10510045\/10285422.pdf?arnumber=10285422","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:52:12Z","timestamp":1714762332000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10285422\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":62,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tce.2023.3323373","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}