{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:51:35Z","timestamp":1761897095631,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572205","61802135","61876068","61701273"],"award-info":[{"award-number":["61572205","61802135","61876068","61701273"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2017J01113","2019J01081"],"award-info":[{"award-number":["2017J01113","2019J01081"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2930550","type":"journal-article","created":{"date-parts":[[2019,7,23]],"date-time":"2019-07-23T20:32:06Z","timestamp":1563913926000},"page":"99441-99450","source":"Crossref","is-referenced-by-count":11,"title":["Localization-Aware Meta Tracker Guided With Adversarial Features"],"prefix":"10.1109","volume":"7","author":[{"given":"Yiting","family":"Lin","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3423-1539","authenticated-orcid":false,"given":"Bineng","family":"Zhong","sequence":"additional","affiliation":[]},{"given":"Guorong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Sicheng","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Ziyi","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6694-7289","authenticated-orcid":false,"given":"Wentao","family":"Fan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.63"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.153"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.490"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.512"},{"key":"ref31","first-page":"1931","article-title":"Deep attentive tracking via reciprocative learning","author":"pu","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","first-page":"1849","article-title":"Deformable parts correlation filters for robust visual tracking","volume":"48","author":"danelljan","year":"2014","journal-title":"IEEE Trans Cybern"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-016-5106-5"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11766-017-3466-8"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-017-1764-5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-018-6442-4"},{"key":"ref10","first-page":"8990","article-title":"VITAL: VIsual tracking via adversarial learning","author":"song","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.279"},{"key":"ref11","article-title":"Adversarial feature sampling learning for efficient visual tracking","author":"yin","year":"2018","journal-title":"arXiv 1809 04741"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2609928"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00935"},{"key":"ref14","first-page":"4660","article-title":"ATOM: Accurate tracking by overlap maximization","author":"danelljan","year":"2019","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref15","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","first-page":"3981","article-title":"Learning to learn by gradient descent by gradient descent","author":"andrychowicz","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","first-page":"748","article-title":"Learning to learn without gradient descent by gradient descent","volume":"70","author":"chen","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref18","article-title":"Optimization as a model for few-shot learning","author":"ravi","year":"2017","journal-title":"Proc Int Conf Learn Represent (ICLR)ICLR"},{"key":"ref19","article-title":"Deep meta learning for real-time target-aware visual tracking","author":"choi","year":"2017","journal-title":"arXiv 1712 09153"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.159"},{"key":"ref4","first-page":"3","article-title":"The sixth visual object tracking VOT2018 challenge results","author":"kristan","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref27","first-page":"597","article-title":"Online tracking by learning discriminative saliency map with convolutional neural network","author":"hong","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2516982"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.156"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_35"},{"key":"ref8","article-title":"Handcrafted and deep trackers: A review of recent object tracking approaches","author":"fiaz","year":"2018","journal-title":"arXiv 1812 07368"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/TPAMI.2013.230","article-title":"Visual tracking: An experimental survey","volume":"36","author":"smeulders","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00511"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2875360"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2885238"},{"key":"ref22","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.10.002"},{"key":"ref21","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"arXiv 1412 6572"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2766093"},{"key":"ref24","article-title":"LaSOT: A high-quality benchmark for large-scale single object tracking","author":"fan","year":"2018","journal-title":"arXiv 1809 07845"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_6"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2406194"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_29"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2586194"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.733"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08769969.pdf?arnumber=8769969","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:40:08Z","timestamp":1628624408000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8769969\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2930550","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}