{"id":"https://openalex.org/W4416749766","doi":"https://doi.org/10.1109/iros60139.2025.11247730","title":"Efficient and Accurate Low-Resolution Transformer Tracking","display_name":"Efficient and Accurate Low-Resolution Transformer Tracking","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416749766","doi":"https://doi.org/10.1109/iros60139.2025.11247730"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11247730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100630430","display_name":"Shaohua Dong","orcid":"https://orcid.org/0009-0008-2685-6217"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaohua Dong","raw_affiliation_strings":["University of North Texas,Dept. of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas,Dept. of Computer Science and Engineering","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073748933","display_name":"Yunhe Feng","orcid":"https://orcid.org/0000-0001-6577-227X"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunhe Feng","raw_affiliation_strings":["University of North Texas,Dept. of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas,Dept. of Computer Science and Engineering","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056361355","display_name":"James Liang","orcid":"https://orcid.org/0000-0002-6641-8077"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Liang","raw_affiliation_strings":["Rochester Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077035751","display_name":"Qing Yang","orcid":"https://orcid.org/0000-0002-7529-9065"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Yang","raw_affiliation_strings":["University of North Texas,Dept. of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas,Dept. of Computer Science and Engineering","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027105734","display_name":"Yuewei Lin","orcid":"https://orcid.org/0000-0002-1429-4543"},"institutions":[{"id":"https://openalex.org/I200870766","display_name":"Brookhaven National Laboratory","ror":"https://ror.org/02ex6cf31","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I200870766","https://openalex.org/I39565521","https://openalex.org/I4210142672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuewei Lin","raw_affiliation_strings":["Brookhaven National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brookhaven National Laboratory","institution_ids":["https://openalex.org/I200870766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047220188","display_name":"Heng Fan","orcid":"https://orcid.org/0000-0002-7033-3690"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Fan","raw_affiliation_strings":["University of North Texas,Dept. of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas,Dept. of Computer Science and Engineering","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32659025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20677","last_page":"20684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.1080000028014183,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.1080000028014183,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.049800001084804535,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.04019999876618385,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7384999990463257},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6322000026702881},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5788999795913696},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.5209000110626221},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4260999858379364}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7384999990463257},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6322000026702881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6050000190734863},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5788999795913696},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.5209000110626221},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4260999858379364},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3174999952316284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3070000112056732},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.267300009727478},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2669000029563904},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11247730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2518876086","https://openalex.org/W2794744029","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2952122856","https://openalex.org/W2963102887","https://openalex.org/W3090155371","https://openalex.org/W3127756064","https://openalex.org/W3167536469","https://openalex.org/W3173344965","https://openalex.org/W3212622989","https://openalex.org/W3214586131","https://openalex.org/W4281489207","https://openalex.org/W4285600988","https://openalex.org/W4312255167","https://openalex.org/W4312323989","https://openalex.org/W4312532041","https://openalex.org/W4312651496","https://openalex.org/W4312751983","https://openalex.org/W4312805142","https://openalex.org/W4312969002","https://openalex.org/W4319300771","https://openalex.org/W4320036892","https://openalex.org/W4386065544","https://openalex.org/W4386066081","https://openalex.org/W4386066394","https://openalex.org/W4386066459","https://openalex.org/W4390871892","https://openalex.org/W4390874039"],"related_works":[],"abstract_inverted_index":{"High-performance":[0],"Transformer":[1,41,74,88,157,211],"trackers":[2],"have":[3],"exhibited":[4],"excellent":[5],"results,":[6],"yet":[7,96],"they":[8],"often":[9],"bear":[10],"a":[11,17,36,81,86,186,226,236],"heavy":[12],"computational":[13],"load.":[14],"Observing":[15],"that":[16],"smaller":[18],"input":[19,38],"can":[20],"immediately":[21],"and":[22,105,125,198,217],"conveniently":[23],"reduce":[24],"computations":[25],"without":[26],"changing":[27],"the":[28,52,115,119,128,132,135,139,178,195,206],"model,":[29],"an":[30],"easy":[31],"solution":[32],"is":[33,223,253],"to":[34,51,64,69,122,167,205],"adopt":[35],"low-resolution":[37,73,120],"for":[39],"efficient":[40],"tracking.":[42,58],"Albeit":[43],"faster,":[44],"this":[45,60],"hurts":[46],"tracking":[47,75],"accuracy":[48,173],"much":[49],"due":[50],"information":[53,67],"loss":[54,68],"in":[55,93],"low":[56],"resolution":[57,190],"In":[59,181],"paper,":[61],"we":[62],"aim":[63],"mitigate":[65],"such":[66],"boost":[70],"performance":[71],"of":[72,241],"via":[76,143],"dual":[77,152],"knowledge":[78,102,107,153,176],"distillation":[79,98,103,108],"from":[80,114,127,134,147,177],"frozen":[82],"high-resolution":[83,129,149,179,210],"(but":[84],"not":[85,162],"larger)":[87],"tracker.":[89,180],"The":[90,112],"core":[91],"lies":[92],"two":[94],"simple":[95],"effective":[97],"modules,":[99],"including":[100],"query-key-value":[101],"(QKV-KD)":[104],"discrimination":[106],"(Disc-KD),":[109],"across":[110],"resolutions.":[111],"former,":[113],"global":[116],"view,":[117,137],"allows":[118],"tracker":[121],"inherit":[123],"features":[124],"interactions":[126],"tracker,":[130,212],"while":[131,213],"later,":[133],"target-aware":[136],"enhances":[138],"target-background":[140],"distinguishing":[141],"capacity":[142],"imitating":[144],"discriminative":[145],"regions":[146],"its":[148],"counterpart.":[150],"With":[151,225],"distillation,":[154],"our":[155],"Low-Resolution":[156],"Tracker,":[158],"dubbed":[159],"LoReTrack,":[160],"enjoys":[161],"only":[163],"high":[164],"efficiency":[165],"owing":[166],"reduced":[168],"computation":[169],"but":[170],"also":[171],"enhanced":[172],"by":[174],"distilling":[175],"extensive":[182],"experiments,":[183],"LoReTrack":[184,222],"with":[185,194,238],"256<sup":[187],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[188,208,228,245],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[189,209,229],"consistently":[191],"improves":[192],"baseline":[193],"same":[196],"resolution,":[197,230],"shows":[199],"competitive":[200],"or":[201],"better":[202],"results":[203],"compared":[204],"384<sup":[207],"running":[214],"52%":[215],"faster":[216],"saving":[218],"56%":[219],"MACs.":[220],"Moreover,":[221],"resolution-scalable.":[224],"128<sup":[227],"it":[231],"runs":[232],"25":[233],"fps":[234],"on":[235,243],"CPU":[237,249],"SUC":[239],"scores":[240],"64.9%/46.4%":[242],"LaSOT/LaSOT<inf":[244],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ext</inf>,":[246],"surpassing":[247],"other":[248],"real-time":[250],"trackers.":[251],"Code":[252],"released":[254],"at":[255],"https://github.com/ShaohuaDong2021/LoReTrack.":[256]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-28T00:00:00"}
