{"id":"https://openalex.org/W7092282086","doi":"https://doi.org/10.1109/tgrs.2025.3622759","title":"Compensation-Guided Fine-Grained Representation Learning for UAV Tracking","display_name":"Compensation-Guided Fine-Grained Representation Learning for UAV Tracking","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7092282086","doi":"https://doi.org/10.1109/tgrs.2025.3622759"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3622759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3622759","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":null,"display_name":"Hang Zhou","orcid":"https://orcid.org/0009-0008-4257-667X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zhou","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0008-4257-667X","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rui Liu","orcid":"https://orcid.org/0009-0001-2263-8270"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Liu","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0001-2263-8270","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fulin Luo","orcid":"https://orcid.org/0000-0002-7696-0775"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fulin Luo","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7696-0775","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiqun Wang","orcid":"https://orcid.org/0000-0003-1942-5597"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Wang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-1942-5597","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yong Li","orcid":"https://orcid.org/0000-0003-1584-1622"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-1584-1622","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.475972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9021999835968018,"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":0.9021999835968018,"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/T11133","display_name":"UAV Applications and Optimization","score":0.043800000101327896,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.01119999960064888,"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/discriminative-model","display_name":"Discriminative model","score":0.8126000165939331},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6775000095367432},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5444999933242798},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5249999761581421},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5127000212669373},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5123000144958496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4113999903202057},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.3828999996185303}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8126000165939331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842000126838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7290999889373779},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6775000095367432},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5444999933242798},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5321000218391418},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5249999761581421},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5127000212669373},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5123000144958496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.3828999996185303},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3824999928474426},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2653000056743622},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.26429998874664307},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3622759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3622759","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":"Reduced inequalities","score":0.7501020431518555,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5658058112","display_name":null,"funder_award_id":"62371076","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W818325216","https://openalex.org/W1861492603","https://openalex.org/W1964846093","https://openalex.org/W2027843963","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2599547527","https://openalex.org/W2604701225","https://openalex.org/W2742165450","https://openalex.org/W2794744029","https://openalex.org/W2798842862","https://openalex.org/W2799058067","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2911372736","https://openalex.org/W2927438889","https://openalex.org/W2962766617","https://openalex.org/W2962777203","https://openalex.org/W2963030525","https://openalex.org/W2963534981","https://openalex.org/W2963571423","https://openalex.org/W2964069521","https://openalex.org/W2987346479","https://openalex.org/W2987460522","https://openalex.org/W2998434318","https://openalex.org/W3035466700","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3044679559","https://openalex.org/W3159166099","https://openalex.org/W3169909246","https://openalex.org/W3179950005","https://openalex.org/W3203510176","https://openalex.org/W3214586131","https://openalex.org/W4312257434","https://openalex.org/W4312735552","https://openalex.org/W4313134759","https://openalex.org/W4313156405","https://openalex.org/W4313156423","https://openalex.org/W4313178029","https://openalex.org/W4313306230","https://openalex.org/W4324045183","https://openalex.org/W4383108846","https://openalex.org/W4384080541","https://openalex.org/W4385245566","https://openalex.org/W4386065598","https://openalex.org/W4386088227","https://openalex.org/W4386174901","https://openalex.org/W4389686841","https://openalex.org/W4390871892","https://openalex.org/W4390872721","https://openalex.org/W4392902551","https://openalex.org/W4393171373","https://openalex.org/W4396941327","https://openalex.org/W4399881727","https://openalex.org/W4413277608"],"related_works":[],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicle":[2],"(UAV)":[3],"tracking":[4,223],"technology":[5],"aims":[6],"to":[7,41,72,90,197],"achieve":[8],"continuous":[9],"monitoring":[10],"and":[11,48,136,155,171,201],"precise":[12],"localization":[13],"of":[14,133,144,217,228],"a":[15,49,64,105,125,192],"single":[16],"specific":[17],"target":[18,45,75,97,135],"from":[19,120],"aerial":[20,222],"perspectives.":[21],"Despite":[22],"the":[23,83,130,134,142,145,173,199,214,229],"breakthroughs":[24],"brought":[25],"by":[26,35],"Vision":[27],"Transformers":[28],"(ViTs),":[29],"current":[30],"ViT-based":[31],"trackers":[32],"are":[33],"hampered":[34],"two":[36],"inherent":[37],"challenges:":[38],"heightened":[39],"susceptibility":[40],"background":[42],"interference":[43],"causing":[44],"feature":[46,98,152,163],"attenuation,":[47],"fundamental":[50],"limitation":[51],"in":[52,220],"capturing":[53],"discriminative":[54,93,115],"fine-grained":[55,67,87,156,183],"information.":[56,76],"To":[57,77,140],"address":[58],"these":[59],"issues,":[60],"this":[61,101],"paper":[62],"proposes":[63],"compensation":[65,119],"guided":[66],"representation":[68],"learning":[69,158],"(CGFRL)":[70],"framework":[71,102],"recover":[73],"attenuated":[74],"effectively":[78,113],"obtain":[79],"detailed":[80],"information":[81,88,184],"about":[82],"target,":[84],"we":[85,148],"conduct":[86],"mining":[89,185],"extract":[91],"shared":[92],"details":[94],"for":[95,118,204],"achieving":[96],"alignment.":[99],"Specifically,":[100],"innovatively":[103],"incorporates":[104],"Multi-level":[106],"Feature":[107],"Compensation":[108],"Learning":[109],"(MFCL)":[110],"module,":[111],"which":[112],"extracts":[114],"local":[116,138],"features":[117,132],"template-search":[121],"image":[122,169,177,179],"pairs":[123],"through":[124],"hierarchical":[126],"interaction":[127],"mechanism":[128],"between":[129],"global":[131],"informative":[137],"patches.":[139],"ensure":[141],"reliability":[143],"compensated":[146],"information,":[147],"further":[149],"introduce":[150],"cross-grained":[151],"refinement":[153],"(CGFR)":[154],"relational":[157],"(FGRL)modules.":[159],"These":[160],"components":[161,203],"establish":[162],"correspondences":[164],"across":[165],"granularities":[166],"(template":[167,176],"image-search":[168],"patches)":[170],"within":[172],"same":[174],"granularity":[175],"patch-search":[178],"patch),":[180],"while":[181],"enhancing":[182],"capabilities":[186],"via":[187],"cross-granularity":[188],"associations.":[189],"During":[190],"inference,":[191],"modular":[193],"strategy":[194],"is":[195,231],"adopted":[196],"remove":[198],"CGFR":[200],"FGRL":[202],"improved":[205],"computational":[206],"efficiency.":[207],"Extensive":[208],"experiments":[209],"on":[210],"multiple":[211],"benchmarks":[212],"demonstrate":[213],"superior":[215],"performance":[216],"our":[218],"method":[219,230],"UAV":[221],"tasks.":[224],"The":[225],"source":[226],"code":[227],"published":[232],"at":[233],"https://github.com/hangshaou/UAV-Tracking.":[234]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-18T00:00:00"}