{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T08:19:48Z","timestamp":1769674788304,"version":"3.49.0"},"reference-count":84,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62375211"],"award-info":[{"award-number":["62375211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tcsvt.2025.3600907","type":"journal-article","created":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T18:44:21Z","timestamp":1755715461000},"page":"1015-1028","source":"Crossref","is-referenced-by-count":2,"title":["HyperTrack: A Unified Network for Hyperspectral Video Object Tracking"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4554-7627","authenticated-orcid":false,"given":"Yuedong","family":"Tan","sequence":"first","affiliation":[{"name":"School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5929-8819","authenticated-orcid":false,"given":"Wenfang","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Aerospace Science and Technology, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1129-6378","authenticated-orcid":false,"given":"Jingyuan","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9249-6191","authenticated-orcid":false,"given":"Shuwei","family":"Hou","sequence":"additional","affiliation":[{"name":"China Academy of Space Technology, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2957-4962","authenticated-orcid":false,"given":"Xiaobo","family":"Li","sequence":"additional","affiliation":[{"name":"China Academy of Space Technology, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4482-2480","authenticated-orcid":false,"given":"Zhe","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7312-9788","authenticated-orcid":false,"given":"Beibei","family":"Song","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00935"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02008-8"},{"key":"ref4","article-title":"The 3rd anti-UAV workshop & challenge: Methods and results","volume-title":"arXiv:2305.07290","author":"Zhao"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25500"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.112718"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2023.3318601"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-01999-8"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2874312"},{"key":"ref11","article-title":"RGBD object tracking: An in-depth review","author":"Yang","year":"2022","journal-title":"arXiv:2203.14134"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2023.104605"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2965302"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3418337"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3366536"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102395"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/col.20020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00012"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547851"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00918"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19827-4_41"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2911100"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2185822"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2007.05.035"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2957464"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3207202"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00479"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00628"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00441"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00803"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01028"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3326695"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3275034"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00853"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00303"},{"key":"ref39","first-page":"16743","article-title":"SwinTrack: A simple and strong baseline for transformer tracking","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liting"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/127"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01324"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00855"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_20"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_22"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01400"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00928"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00879"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2856370"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3216995"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9191105"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746089"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3285802"},{"key":"ref54","article-title":"Ensemble learning","volume":"1857","author":"Dietterich","year":"2000","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3177215"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3263109"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/rs15041107"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3253173"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3385273"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/rs15071735"},{"key":"ref61","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS61460.2023.10431256"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00552"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_19"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.789"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03243-2_649-1"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3289716"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23989-7_6"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/36.803411"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3242239"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2951433"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3048138"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01750"},{"key":"ref76","first-page":"23716","article-title":"Flamingo: A visual language model for few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Alayrac"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.10.018"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01319"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS56178.2022.9955094"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS52202.2021.9484029"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS52202.2021.9484032"},{"key":"ref84","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/76\/11365019\/11131287.pdf?arnumber=11131287","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T21:01:36Z","timestamp":1769634096000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11131287\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":84,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2025.3600907","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}