{"id":"https://openalex.org/W4399881727","doi":"https://doi.org/10.1109/tgrs.2024.3417400","title":"Learning Target-Aware Vision Transformers for Real-Time UAV Tracking","display_name":"Learning Target-Aware Vision Transformers for Real-Time UAV Tracking","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399881727","doi":"https://doi.org/10.1109/tgrs.2024.3417400"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3417400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3417400","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5082243302","display_name":"Shuiwang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuiwang Li","raw_affiliation_strings":["Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101974229","display_name":"Xiangyang Yang","orcid":"https://orcid.org/0009-0005-0303-2758"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Yang","raw_affiliation_strings":["Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046219358","display_name":"Xucheng Wang","orcid":"https://orcid.org/0000-0002-5299-7282"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xucheng Wang","raw_affiliation_strings":["Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023724461","display_name":"Dan Zeng","orcid":"https://orcid.org/0000-0003-1300-1769"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zeng","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058223479","display_name":"Hengzhou Ye","orcid":"https://orcid.org/0000-0001-6646-8747"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengzhou Ye","raw_affiliation_strings":["Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085914001","display_name":"Qijun Zhao","orcid":"https://orcid.org/0000-0003-4651-7163"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijun Zhao","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082243302"],"corresponding_institution_ids":["https://openalex.org/I38706770"],"apc_list":null,"apc_paid":null,"fwci":46.7849,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.99831111,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9887999892234802,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6931490898132324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6512095332145691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6211881637573242},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4124469757080078},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36223921179771423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931490898132324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6512095332145691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6211881637573242},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4124469757080078},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36223921179771423},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3417400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3417400","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2087004267","display_name":null,"funder_award_id":"62066042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2793602376","display_name":null,"funder_award_id":"62206123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4542985435","display_name":null,"funder_award_id":"62176170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4916396408","display_name":null,"funder_award_id":"GKAD22035127","funder_id":"https://openalex.org/F4320336630","funder_display_name":"Specific Research Project of Guangxi for Research Bases and Talents"},{"id":"https://openalex.org/G5475934930","display_name":null,"funder_award_id":"61971005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6868433045","display_name":null,"funder_award_id":"62262011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336630","display_name":"Specific Research Project of Guangxi for Research Bases and Talents","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2122925692","https://openalex.org/W2154889144","https://openalex.org/W2469582947","https://openalex.org/W2518876086","https://openalex.org/W2520477759","https://openalex.org/W2557641257","https://openalex.org/W2604701225","https://openalex.org/W2776035257","https://openalex.org/W2794744029","https://openalex.org/W2798842862","https://openalex.org/W2886335102","https://openalex.org/W2887997457","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2908510526","https://openalex.org/W2911372736","https://openalex.org/W2949759968","https://openalex.org/W2962766617","https://openalex.org/W2962777203","https://openalex.org/W2963030525","https://openalex.org/W2963140444","https://openalex.org/W2963534981","https://openalex.org/W2964069521","https://openalex.org/W2982242214","https://openalex.org/W2982247743","https://openalex.org/W2987346479","https://openalex.org/W3001584168","https://openalex.org/W3015735225","https://openalex.org/W3034368386","https://openalex.org/W3035453691","https://openalex.org/W3035466700","https://openalex.org/W3096609285","https://openalex.org/W3108519869","https://openalex.org/W3131500599","https://openalex.org/W3138154797","https://openalex.org/W3138516171","https://openalex.org/W3145185940","https://openalex.org/W3167536469","https://openalex.org/W3169909246","https://openalex.org/W3173417753","https://openalex.org/W3179950005","https://openalex.org/W3201726334","https://openalex.org/W3203510176","https://openalex.org/W3204540098","https://openalex.org/W3204554907","https://openalex.org/W3208338480","https://openalex.org/W3214586131","https://openalex.org/W4214586743","https://openalex.org/W4214634256","https://openalex.org/W4226162296","https://openalex.org/W4284689622","https://openalex.org/W4285245086","https://openalex.org/W4285600988","https://openalex.org/W4285603016","https://openalex.org/W4293519077","https://openalex.org/W4312255167","https://openalex.org/W4312280331","https://openalex.org/W4312287126","https://openalex.org/W4312323989","https://openalex.org/W4312472480","https://openalex.org/W4312651496","https://openalex.org/W4312735552","https://openalex.org/W4312751983","https://openalex.org/W4312805142","https://openalex.org/W4312820606","https://openalex.org/W4312849330","https://openalex.org/W4313141028","https://openalex.org/W4324045183","https://openalex.org/W4376133601","https://openalex.org/W4385245566","https://openalex.org/W4385364879","https://openalex.org/W4386025649","https://openalex.org/W4386065544","https://openalex.org/W4386066081","https://openalex.org/W4386075784","https://openalex.org/W4386158955","https://openalex.org/W4386160021","https://openalex.org/W4390871892","https://openalex.org/W4390872721","https://openalex.org/W4401414742","https://openalex.org/W4413277608","https://openalex.org/W6743188669","https://openalex.org/W6754278344","https://openalex.org/W6757817989","https://openalex.org/W6762796984","https://openalex.org/W6788135285","https://openalex.org/W6795140394","https://openalex.org/W6803916128","https://openalex.org/W6852835101","https://openalex.org/W6856688842"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0,68,132,218],"recent":[1],"years,":[2],"the":[3,21,28,35,56,69,96,99,106,109,118,175,183,196,201,210,248],"field":[4],"of":[5,58,86,93,105,120],"unmanned":[6],"aerial":[7],"vehicle":[8],"(UAV)":[9],"tracking":[10,111,140],"has":[11,113],"grown":[12],"rapidly,":[13],"finding":[14],"numerous":[15],"applications":[16],"across":[17],"various":[18],"industries.":[19],"While":[20],"discriminative":[22],"correlation":[23,87],"filters":[24],"(DCF)-based":[25],"trackers":[26,44,62,77],"remain":[27],"most":[29],"efficient":[30,126,138,156],"and":[31,53,98,125,151,204,239],"widely":[32],"used":[33],"in":[34,254],"UAV":[36,110,130,144,255],"tracking,":[37,72],"recently":[38],"lightweight":[39,60],"convolutional":[40],"neural":[41],"network":[42],"(CNN)-based":[43],"using":[45,83],"filter":[46],"pruning":[47],"have":[48,78],"also":[49],"demonstrated":[50],"impressive":[51],"efficiency":[52],"precision.":[54],"However,":[55,167],"performance":[57,253],"these":[59],"CNN-based":[61],"is":[63,215,258],"still":[64],"far":[65],"from":[66],"satisfactory.":[67],"generic":[70],"visual":[71],"emerging":[73],"vision":[74],"transformer":[75,179],"(ViT)-based":[76],"shown":[79],"great":[80],"success":[81],"by":[82,209],"cross-attention":[84],"instead":[85],"operation,":[88],"enabling":[89],"more":[90,123,185],"effective":[91,124],"capturing":[92],"relationships":[94],"between":[95,200,237],"target":[97,176],"search":[100],"image.":[101],"But":[102],"to":[103,159,173,182,194,220],"best":[104],"authors\u2019":[107],"knowledge,":[108],"community":[112],"not":[114],"yet":[115],"well":[116],"explored":[117],"potential":[119],"ViTs":[121],"for":[122,129,142],"template-search":[127,152],"coupling":[128,153],"tracking.":[131,145,256],"this":[133,190],"article,":[134],"we":[135,168,192,224],"propose":[136,193],"an":[137,155,161],"ViT-based":[139],"framework":[141,147],"real-time":[143],"Our":[146],"integrates":[148],"feature":[149,206],"learning":[150],"into":[154],"one-stream":[157],"ViT":[158],"avoid":[160],"extra":[162],"heavy":[163],"relation":[164],"modeling":[165],"module.":[166],"observe":[169],"that":[170,247],"it":[171],"tends":[172],"weaken":[174],"information":[177,198],"through":[178],"blocks":[180],"due":[181],"significantly":[184],"background":[186],"tokens.":[187],"To":[188],"address":[189],"problem,":[191],"maximize":[195],"mutual":[197],"(MI)":[199],"template":[202],"image":[203],"its":[205],"representation":[207],"produced":[208],"ViT.":[211],"The":[212],"proposed":[213,249],"method":[214],"dubbed":[216],"TATrack.":[217],"addition,":[219],"further":[221],"enhance":[222],"efficiency,":[223],"introduce":[225],"a":[226,234],"novel":[227],"MI":[228],"maximization-based":[229],"knowledge":[230],"distillation,":[231],"which":[232],"strikes":[233],"better":[235],"trade-off":[236],"accuracy":[238],"efficiency.":[240],"Exhaustive":[241],"experiments":[242],"on":[243],"five":[244],"benchmarks":[245],"show":[246],"tracker":[250],"achieves":[251],"state-of-the-art":[252],"Code":[257],"released":[259],"at:":[260],"<uri":[261],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[262],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/xyyang317/TATrack</uri>.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
