{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T03:36:18Z","timestamp":1769916978945,"version":"3.49.0"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61632019"],"award-info":[{"award-number":["61632019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61822208"],"award-info":[{"award-number":["61822208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Youth Innovation Promotion Association CAS","doi-asserted-by":"publisher","award":["2018497"],"award-info":[{"award-number":["2018497"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61836011"],"award-info":[{"award-number":["61836011"]}],"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":[[2021,4]]},"DOI":"10.1109\/tcsvt.2020.3006110","type":"journal-article","created":{"date-parts":[[2020,6,30]],"date-time":"2020-06-30T21:07:18Z","timestamp":1593551238000},"page":"1580-1592","source":"Crossref","is-referenced-by-count":9,"title":["Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination"],"prefix":"10.1109","volume":"31","author":[{"given":"Ning","family":"Wang","sequence":"first","affiliation":[]},{"given":"Wengang","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Houqiang","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00247"},{"key":"ref71","article-title":"Learning regression and verification networks for long-term visual tracking","author":"zhang","year":"2018","journal-title":"arXiv 1809 04320"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.239"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.468"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_25"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00376"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00814"},{"key":"ref31","first-page":"152","article-title":"Learning dynamic memory networks for object tracking","author":"yang","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.196"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.515"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.352"},{"key":"ref35","article-title":"Accurate scale estimation for robust visual tracking","author":"danelljan","year":"2014","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref60","article-title":"GOT-10k: A large high-diversity benchmark for generic object tracking in the wild","author":"huang","year":"2018","journal-title":"arXiv 1810 11981"},{"key":"ref62","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref61","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00472"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6899"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00142"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00140"},{"key":"ref65","first-page":"1","article-title":"Fast visual object tracking with rotated bounding boxes","author":"chen","year":"2019","journal-title":"Proc IEEE Int Conf Comput Vis Workshops (ICCV Workshop)"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.156"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00478"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.531"},{"key":"ref68","first-page":"483","article-title":"Unveiling the power of deep tracking","author":"bhat","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299177"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00479"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00441"},{"key":"ref20","first-page":"749","article-title":"Learning to track at 100 FPS with deep regression networks","author":"held","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00508"},{"key":"ref21","first-page":"101","article-title":"Distractor-aware siamese networks for visual object tracking","author":"zhu","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00146"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00510"},{"key":"ref26","article-title":"Online adaptation of convolutional neural networks for video object segmentation","author":"voigtlaender","year":"2017","journal-title":"arXiv 1706 09364"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.565"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.279"},{"key":"ref51","first-page":"353","article-title":"Deep regression tracking with shrinkage loss","author":"lu","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref59","first-page":"784","article-title":"Acquisition of localization confidence for accurate object detection","author":"jiang","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"ref56","first-page":"131","article-title":"Regularized least-squares classification","volume":"190","author":"rifkin","year":"2003","journal-title":"Nato Sci Ser Sub Ser III Comp Syst Sci"},{"key":"ref55","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00937"},{"key":"ref53","first-page":"83","article-title":"Real-time mdnet","author":"jung","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00935"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.513"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2482905"},{"key":"ref14","first-page":"445","article-title":"A benchmark and simulator for UAV tracking","author":"mueller","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00276"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.128"},{"key":"ref17","first-page":"300","article-title":"TrackingNet: A large-scale dataset and benchmark for object tracking in the wild","author":"m\u00fcller","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00552"},{"key":"ref19","first-page":"670","article-title":"Long-term tracking in the wild: A benchmark","author":"valmadre","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.158"},{"key":"ref3","first-page":"850","article-title":"Fully-convolutional siamese networks for object tracking","author":"bertinetto","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00628"},{"key":"ref5","first-page":"1","article-title":"The sixth visual object tracking vot2018 challenge results","author":"kristan","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshops (ECCV Workshop)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/34.655648"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00411"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2989544"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00515"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.490"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.733"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.129"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00509"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.152"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00480"},{"key":"ref43","first-page":"472","article-title":"Beyond correlation filters: Learning continuous convolution operators for visual tracking","author":"danelljan","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/9394821\/09130147.pdf?arnumber=9130147","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:21Z","timestamp":1652194221000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9130147\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":72,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2020.3006110","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}