{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T13:55:29Z","timestamp":1784555729654,"version":"3.55.0"},"reference-count":162,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2019YFB2101904"],"award-info":[{"award-number":["2019YFB2101904"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61732011"],"award-info":[{"award-number":["61732011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876127"],"award-info":[{"award-number":["61876127"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61925602"],"award-info":[{"award-number":["61925602"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Applied Basic Research Program of Qinghai","award":["2019-ZJ-7017"],"award-info":[{"award-number":["2019-ZJ-7017"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,11,1]]},"DOI":"10.1109\/tpami.2021.3119563","type":"journal-article","created":{"date-parts":[[2021,10,15]],"date-time":"2021-10-15T16:47:15Z","timestamp":1634316435000},"page":"7380-7399","source":"Crossref","is-referenced-by-count":1092,"title":["Detection and Tracking Meet Drones Challenge"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4310-9140","authenticated-orcid":false,"given":"Pengfei","family":"Zhu","sequence":"first","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5525-492X","authenticated-orcid":false,"given":"Longyin","family":"Wen","sequence":"additional","affiliation":[{"name":"JD Finance America Corporation, Mountain View, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9404-524X","authenticated-orcid":false,"given":"Dawei","family":"Du","sequence":"additional","affiliation":[{"name":"Computer Science Department, University at Albany, State University of New York, Albany, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Bian","sequence":"additional","affiliation":[{"name":"GE Global Research, Niskayuna, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3308-7873","authenticated-orcid":false,"given":"Heng","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7765-8095","authenticated-orcid":false,"given":"Qinghua","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4094-8413","authenticated-orcid":false,"given":"Haibin","family":"Ling","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Stony Brook University, Stony Brook, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.023"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3046478"},{"key":"ref33","article-title":"Anti-UAV: A large multi-modal benchmark for UAV tracking","author":"jiang","year":"2021"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00552"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3045747"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_19"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01247-4"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_26"},{"key":"ref35","first-page":"17","article-title":"Performance measures and a data set for multi-target, multi-camera tracking","author":"ristani","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11205"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_54"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2957464"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_48"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413934"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01393-0"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2020.102907"},{"key":"ref101","first-page":"9217","article-title":"Sequence level semantics aggregation for video object detection","author":"haiping","year":"2019","journal-title":"Proc IEEE\/CVF Int Conf Comput Vis"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2736553"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.267"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461037"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.230"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.4"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88688-4_58"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00813"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018981"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2300479"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587597"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00931"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11194"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.41"},{"key":"ref59","article-title":"YOLOV3: An incremental improvement","author":"redmon","year":"2018"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.05.009"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01266-1"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2570556"},{"key":"ref52","first-page":"3","article-title":"The sixth visual object tracking VOT2018 challenge results","author":"kristan","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshops"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2932429"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.450"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247870"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01489"},{"key":"ref4","first-page":"375","article-title":"The unmanned aerial vehicle benchmark: Object detection and tracking","author":"du","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2019.8756593"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_33"},{"key":"ref5","first-page":"4165","article-title":"Drone-based object counting by spatially regularized regional proposal network","author":"hsieh","year":"2017","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref159","article-title":"Blockwisely supervised neural architecture search with knowledge distillation","author":"li","year":"2019","journal-title":"CoRR"},{"key":"ref8","first-page":"469","article-title":"VisDrone-SOT2018: The vision meets drone single-object tracking challenge results","author":"wen","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshops"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.128"},{"key":"ref7","first-page":"437","article-title":"VisDrone-DET2018: The vision meets drone object detection in image challenge results","author":"zhu","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshops"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01468"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00634"},{"key":"ref9","first-page":"496","article-title":"VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results","author":"zhu","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshops"},{"key":"ref46","article-title":"MOT20: A benchmark for multi object tracking in crowded scenes","author":"dendorfer","year":"2020"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2018.8639089"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2482905"},{"key":"ref47","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":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.155"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078560"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248065"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_30"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.356"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.789"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00628"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00975"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296962"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00093"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_7"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00667"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00091"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.239"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00584"},{"key":"ref74","article-title":"Reppoints v2: Verification meets regression for object detection","author":"chen","year":"2020","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6834"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995604"},{"key":"ref131","article-title":"Large scale visual recognition challenge 2017","author":"park","year":"2017"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_21"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01008"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486597"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078516"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00103"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350853"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_28"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01513-4"},{"key":"ref62","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00442"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_28"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref141","first-page":"104","article-title":"Deep affinity network for multiple object tracking","volume":"43","author":"sun","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref66","article-title":"Light-head R-CNN: In defense of two-stage object detector","author":"li","year":"2017"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00380"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00190"},{"key":"ref68","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"ref2","first-page":"445","article-title":"A benchmark and simulator for UAV tracking","author":"mueller","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01283"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.675"},{"key":"ref1","article-title":"Commercial drone market size, share & trends analysis report by product (fixed-wing, rotary blade, hybrid), by application, by end-use, by region, and segment forecasts, 2021&#x2013;2028","author":"research","year":"2021"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00678"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00179"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_30"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.257"},{"key":"ref93","first-page":"765","article-title":"CornerNet: Detecting objects as paired keypoints","author":"law","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01035"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00984"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_33"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00840"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.441"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00609"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.52"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.330"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.152"},{"key":"ref112","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"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.156"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.733"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00441"},{"key":"ref96","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16178"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00030"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00029"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00031"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00028"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66823-5_42"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66823-5_43"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00661"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66823-5_44"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00142"},{"key":"ref17","article-title":"The PASCAL visual object classes challenge 2012 (VOC2012) results","author":"everingham","year":"2012"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00310"},{"key":"ref119","first-page":"4293","article-title":"Learning multi-domain convolutional neural networks for visual tracking","author":"nam","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref19","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.129"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.233"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.196"},{"key":"ref80","article-title":"Spatial group-wise enhance: Improving semantic feature learning in convolutional networks","author":"li","year":"2019"},{"key":"ref115","first-page":"850","article-title":"Fully-convolutional siamese networks for object tracking","author":"bertinetto","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00937"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00199"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.531"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00057"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00479"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00308"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00978"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_22"},{"key":"ref88","first-page":"9333","article-title":"SNIPER: Efficient multi-scale training","author":"singh","year":"2018","journal-title":"Proc 32nd Int Conf Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9910240\/09573394.pdf?arnumber=9573394","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T21:48:56Z","timestamp":1668462536000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9573394\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,1]]},"references-count":162,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3119563","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,1]]}}}