{"id":"https://openalex.org/W4319934144","doi":"https://doi.org/10.1109/tnnls.2023.3236895","title":"LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Single Object Tracking Benchmark","display_name":"LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Single Object Tracking Benchmark","publication_year":2023,"publication_date":"2023-01-24","ids":{"openalex":"https://openalex.org/W4319934144","doi":"https://doi.org/10.1109/tnnls.2023.3236895","pmid":"https://pubmed.ncbi.nlm.nih.gov/37021992"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3236895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3236895","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100393714","display_name":"Qiao Liu","orcid":"https://orcid.org/0000-0003-0885-7976"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Liu","raw_affiliation_strings":["National Center for Applied Mathematics, Chongqing Normal University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-0885-7976","affiliations":[{"raw_affiliation_string":"National Center for Applied Mathematics, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658181","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-1670-1368"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1670-1368","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019455734","display_name":"Di Yuan","orcid":"https://orcid.org/0000-0001-9403-1112"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Yuan","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9403-1112","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060061835","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0003-1103-0056"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034967388","display_name":"Xiaojun Chang","orcid":"https://orcid.org/0000-0002-7778-8807"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaojun Chang","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7778-8807","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740564","display_name":"Zhenyu He","orcid":"https://orcid.org/0000-0002-2546-8721"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu He","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2546-8721","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4054,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.9598699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"35","issue":"7","first_page":"9844","last_page":"9857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11214","display_name":"Human-Animal Interaction Studies","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8581912517547607},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7936957478523254},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.724204421043396},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7202679514884949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.693157434463501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692651510238647},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6640445590019226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5926145315170288},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5663385391235352},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5280647873878479},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4661276340484619},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44778358936309814},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4220311939716339},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4104357063770294},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14073362946510315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09210118651390076},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08848041296005249}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8581912517547607},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7936957478523254},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.724204421043396},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7202679514884949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.693157434463501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692651510238647},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6640445590019226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5926145315170288},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5663385391235352},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5280647873878479},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4661276340484619},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44778358936309814},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4220311939716339},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4104357063770294},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14073362946510315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09210118651390076},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08848041296005249},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3236895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3236895","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37021992","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37021992","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1199342312","display_name":null,"funder_award_id":"XJS222503","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4506888280","display_name":null,"funder_award_id":"62202362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4766576405","display_name":null,"funder_award_id":"CSTB2022NSCQ-MSX0645","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G5837268349","display_name":null,"funder_award_id":"2022TQ0247","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8156069797","display_name":null,"funder_award_id":"62172126","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W134197611","https://openalex.org/W1686810756","https://openalex.org/W1857884451","https://openalex.org/W1914092751","https://openalex.org/W1923332106","https://openalex.org/W1937954682","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1972557522","https://openalex.org/W1997121481","https://openalex.org/W1999621311","https://openalex.org/W2001785244","https://openalex.org/W2015148749","https://openalex.org/W2060814785","https://openalex.org/W2077520767","https://openalex.org/W2089961441","https://openalex.org/W2117539524","https://openalex.org/W2124211486","https://openalex.org/W2154889144","https://openalex.org/W2156158655","https://openalex.org/W2158592639","https://openalex.org/W2167089254","https://openalex.org/W2183598498","https://openalex.org/W2186330282","https://openalex.org/W2187089797","https://openalex.org/W2214352687","https://openalex.org/W2247229935","https://openalex.org/W2343187456","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2495062528","https://openalex.org/W2495775297","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2599547527","https://openalex.org/W2605173812","https://openalex.org/W2737362155","https://openalex.org/W2740685955","https://openalex.org/W2765594081","https://openalex.org/W2776035257","https://openalex.org/W2783258213","https://openalex.org/W2792121015","https://openalex.org/W2794109133","https://openalex.org/W2794744029","https://openalex.org/W2798842862","https://openalex.org/W2805902878","https://openalex.org/W2891033863","https://openalex.org/W2891995767","https://openalex.org/W2894176037","https://openalex.org/W2898200825","https://openalex.org/W2902767594","https://openalex.org/W2917435394","https://openalex.org/W2927438889","https://openalex.org/W2962799386","https://openalex.org/W2962824803","https://openalex.org/W2963030525","https://openalex.org/W2963227409","https://openalex.org/W2963249584","https://openalex.org/W2963534981","https://openalex.org/W2963905288","https://openalex.org/W2964069521","https://openalex.org/W2964099559","https://openalex.org/W2964111344","https://openalex.org/W2964242925","https://openalex.org/W2966759264","https://openalex.org/W2969901725","https://openalex.org/W2985509612","https://openalex.org/W2990211277","https://openalex.org/W2997896013","https://openalex.org/W3001584168","https://openalex.org/W3016744474","https://openalex.org/W3035453691","https://openalex.org/W3035725297","https://openalex.org/W3041551881","https://openalex.org/W3046271476","https://openalex.org/W3102817716","https://openalex.org/W3105117126","https://openalex.org/W3105919488","https://openalex.org/W3108235634","https://openalex.org/W3167536469","https://openalex.org/W3168663926","https://openalex.org/W3175891031","https://openalex.org/W3191710552","https://openalex.org/W3212622989","https://openalex.org/W3214586131","https://openalex.org/W4205577874","https://openalex.org/W4205757850","https://openalex.org/W4214759957","https://openalex.org/W4226389791","https://openalex.org/W4283722434","https://openalex.org/W4308831279","https://openalex.org/W4312255167","https://openalex.org/W4312651496","https://openalex.org/W4312805142","https://openalex.org/W6637373629","https://openalex.org/W6691140393"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2511178891","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W57279572","https://openalex.org/W2141888607","https://openalex.org/W2753886513","https://openalex.org/W2070920257"],"abstract_inverted_index":{"Unlike":[0],"visual":[1],"object":[2,7,73,139,233],"tracking,":[3],"thermal":[4],"infrared":[5],"(TIR)":[6],"tracking":[8,74,82,140,152,157,187],"methods":[9],"can":[10],"track":[11],"the":[12,105,126,133,146,185,195,249,255],"target":[13],"of":[14,36,80,93,108,113,128,221,257],"interest":[15],"in":[16,27,110,123,184,231],"poor":[17],"visibility":[18],"such":[19],"as":[20],"rain,":[21],"snow,":[22],"and":[23,49,52,68,85,97,116,135,154,180,203,207,211,223,227,244,262],"fog,":[24],"or":[25],"even":[26],"total":[28,92],"darkness.":[29],"This":[30],"feature":[31],"brings":[32],"a":[33,47,66,81,86,91,150,155,169,219],"wide":[34],"range":[35],"application":[37],"prospects":[38],"for":[39],"TIR":[40,71,95,138,201,232,259],"object-tracking":[41],"methods.":[42],"However,":[43],"this":[44,62],"field":[45],"lacks":[46],"unified":[48,70],"large-scale":[50,67],"training":[51,88,251],"evaluation":[53,83,147,188],"benchmark,":[54,75],"which":[55,78],"has":[56],"severely":[57],"hindered":[58],"its":[59],"development.":[60],"To":[61,125],"end,":[63],"we":[64,174,193,236],"present":[65],"high-diversity":[69],"single":[72],"called":[76],"LSOTB-TIR,":[77,192,243],"consists":[79],"dataset":[84,89,148,252,263],"general":[87],"with":[90],"1416":[94],"sequences":[96,115],"more":[98],"than":[99],"643":[100],"K":[101,120],"frames.":[102],"We":[103,144,209],"annotate":[104],"bounding":[106,121],"box":[107],"objects":[109],"every":[111],"frame":[112],"all":[114],"generate":[117],"over":[118],"770":[119],"boxes":[122],"total.":[124],"best":[127],"our":[129],"knowledge,":[130],"LSOTB-TIR":[131,216],"is":[132],"largest":[134],"most":[136],"diverse":[137],"benchmark":[141],"to":[142,159,167,197,217],"date.":[143],"spilt":[145],"into":[149],"short-term":[151,186],"subset":[153,158],"long-term":[156],"evaluate":[160,168,204,210],"trackers":[161,202,214,241],"using":[162],"different":[163,172],"paradigms.":[164],"What's":[165],"more,":[166],"tracker":[170],"on":[171,215,242],"attributes,":[173],"also":[175],"define":[176],"four":[177],"scenario":[178],"attributes":[179,183],"12":[181],"challenge":[182],"subset.":[189],"By":[190],"releasing":[191],"encourage":[194],"community":[196],"develop":[198],"deep":[199,240,258],"learning-based":[200],"them":[205],"fairly":[206],"comprehensively.":[208],"analyze":[212],"40":[213],"provide":[218],"series":[220],"baselines":[222],"give":[224],"some":[225],"insights":[226],"future":[228],"research":[229],"directions":[230],"tracking.":[234],"Furthermore,":[235],"retrain":[237],"several":[238],"representative":[239],"their":[245],"results":[246],"demonstrate":[247],"that":[248],"proposed":[250],"significantly":[253],"improves":[254],"performance":[256],"trackers.":[260],"Codes":[261],"are":[264],"available":[265],"at":[266],"https://github.com/QiaoLiuHit/LSOTB-TIR.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}