{"id":"https://openalex.org/W4313307856","doi":"https://doi.org/10.1109/tpami.2022.3232854","title":"WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking","display_name":"WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking","publication_year":2022,"publication_date":"2022-12-30","ids":{"openalex":"https://openalex.org/W4313307856","doi":"https://doi.org/10.1109/tpami.2022.3232854","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015650"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3232854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3232854","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5075515179","display_name":"Chunhui Zhang","orcid":"https://orcid.org/0000-0002-9017-1828"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunhui Zhang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","CloudWalk Technology Co., Ltd., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]},{"raw_affiliation_string":"CloudWalk Technology Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210144487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051727700","display_name":"Guanjie Huang","orcid":"https://orcid.org/0000-0003-1977-3647"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanjie Huang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418818","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-4497-0135"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114723645","display_name":"Shan Huang","orcid":"https://orcid.org/0000-0003-0231-9392"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Huang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761577","display_name":"Yinan Yang","orcid":"https://orcid.org/0000-0003-0919-289X"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Yang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030367905","display_name":"Xiang Wan","orcid":"https://orcid.org/0000-0002-2324-6527"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wan","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033254559","display_name":"Shiming Ge","orcid":"https://orcid.org/0000-0001-5293-310X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiming Ge","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101409300","display_name":"Dacheng Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["JD Explore Academy, JD.com, Beijing, China","University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"JD Explore Academy, JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]},{"raw_affiliation_string":"University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5075515179"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312","https://openalex.org/I4210144487"],"apc_list":null,"apc_paid":null,"fwci":3.464,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94067828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"45","issue":"7","first_page":"9186","last_page":"9205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9969000220298767,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9944999814033508,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7430771589279175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.71848464012146},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6177918910980225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6150221228599548},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6111569404602051},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4781549870967865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4030319154262543},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.17475315928459167},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15381672978401184}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7430771589279175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71848464012146},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6177918910980225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6150221228599548},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6111569404602051},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4781549870967865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4030319154262543},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.17475315928459167},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15381672978401184},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3232854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3232854","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37015650","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015650","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5899999737739563,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G5370700012","display_name":null,"funder_award_id":"2020A1515110376","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G939200457","display_name":null,"funder_award_id":"62101351","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/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":106,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1857884451","https://openalex.org/W1861492603","https://openalex.org/W1915785815","https://openalex.org/W2044711247","https://openalex.org/W2066513826","https://openalex.org/W2081580037","https://openalex.org/W2089961441","https://openalex.org/W2109124605","https://openalex.org/W2110764733","https://openalex.org/W2117539524","https://openalex.org/W2126302311","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158827467","https://openalex.org/W2163605009","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2316138215","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2519586580","https://openalex.org/W2556543544","https://openalex.org/W2557641257","https://openalex.org/W2592463526","https://openalex.org/W2599547527","https://openalex.org/W2604701225","https://openalex.org/W2605173812","https://openalex.org/W2605991684","https://openalex.org/W2625286981","https://openalex.org/W2681067697","https://openalex.org/W2747053578","https://openalex.org/W2776035257","https://openalex.org/W2794669410","https://openalex.org/W2794744029","https://openalex.org/W2796210376","https://openalex.org/W2798842862","https://openalex.org/W2799058067","https://openalex.org/W2886904239","https://openalex.org/W2886910176","https://openalex.org/W2891033863","https://openalex.org/W2894961023","https://openalex.org/W2898200825","https://openalex.org/W2915935370","https://openalex.org/W2917435394","https://openalex.org/W2927438889","https://openalex.org/W2962719749","https://openalex.org/W2962777203","https://openalex.org/W2963227409","https://openalex.org/W2963499285","https://openalex.org/W2963534981","https://openalex.org/W2963735856","https://openalex.org/W2964069521","https://openalex.org/W2964242925","https://openalex.org/W2964253307","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2981851635","https://openalex.org/W2987346479","https://openalex.org/W2987460522","https://openalex.org/W2989980422","https://openalex.org/W2997747012","https://openalex.org/W2997896013","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3034882073","https://openalex.org/W3035453691","https://openalex.org/W3035466700","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3091482797","https://openalex.org/W3092819179","https://openalex.org/W3107524501","https://openalex.org/W3107530881","https://openalex.org/W3108519869","https://openalex.org/W3122355806","https://openalex.org/W3123853823","https://openalex.org/W3127178541","https://openalex.org/W3127756064","https://openalex.org/W3167536469","https://openalex.org/W3167762749","https://openalex.org/W3168663926","https://openalex.org/W3170378827","https://openalex.org/W3173344965","https://openalex.org/W3173871266","https://openalex.org/W3174053790","https://openalex.org/W3181069167","https://openalex.org/W3191636806","https://openalex.org/W3199245537","https://openalex.org/W3203510176","https://openalex.org/W3204540098","https://openalex.org/W3204554907","https://openalex.org/W3205100603","https://openalex.org/W3214586131","https://openalex.org/W4283825622","https://openalex.org/W4385245566","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6736502011","https://openalex.org/W6739901393","https://openalex.org/W6753610190","https://openalex.org/W6789018730","https://openalex.org/W6801512601","https://openalex.org/W6839144149","https://openalex.org/W7034753983"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W2158788032"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicle":[2],"(UAV)":[3],"tracking":[4,29,70,221],"is":[5,103],"of":[6,13,35,38,42,56,81,123,127,156,196,206,218],"great":[7],"significance":[8],"for":[9,163],"a":[10,169],"wide":[11],"range":[12],"applications,":[14],"such":[15,147],"as":[16],"delivery":[17],"and":[18,45,47,79,94,112,129,141,160,177,192,203,210,222,227],"agriculture.":[19],"Previous":[20],"benchmarks":[21],"in":[22,154,215],"this":[23,61],"area":[24],"mainly":[25],"focused":[26],"on":[27],"small-scale":[28],"problems":[30],"while":[31],"ignoring":[32],"the":[33,53,66,77,124,187,216],"amounts":[34],"data,":[36],"types":[37,195],"data":[39],"modalities,":[40],"diversities":[41],"target":[43,99,115],"categories":[44],"scenarios,":[46],"evaluation":[48,80,175],"protocols":[49],"involved,":[50],"greatly":[51,150],"hiding":[52],"massive":[54],"power":[55],"deep":[57,82,219],"UAV":[58,69,83,165,171,220],"tracking.":[59,166],"In":[60,167],"article,":[62],"we":[63,131],"propose":[64],"WebUAV-3M,":[65],"largest":[67],"public":[68],"benchmark":[71],"to":[72,74,120,185,189],"date,":[73],"facilitate":[75],"both":[76,137],"development":[78],"trackers.":[84,198],"WebUAV-3M":[85,133],"contains":[86],"over":[87],"3.3":[88],"million":[89],"frames":[90],"across":[91],"4,500":[92],"videos":[93],"offers":[95],"223":[96],"highly":[97],"diverse":[98],"categories.":[100],"Each":[101],"video":[102],"densely":[104],"annotated":[105],"with":[106],"bounding":[107],"boxes":[108],"by":[109,134],"an":[110],"efficient":[111],"scalable":[113],"semi-automatic":[114],"annotation":[116],"(SATA)":[117],"pipeline.":[118],"Importantly,":[119],"take":[121],"advantage":[122],"complementary":[125],"superiority":[126],"language":[128,139,158],"audio,":[130],"enrich":[132],"innovatively":[135],"providing":[136],"natural":[138],"specifications":[140],"audio":[142,161],"descriptions.":[143],"We":[144,199],"believe":[145],"that":[146],"additions":[148],"will":[149],"boost":[151],"future":[152,212],"research":[153,213],"terms":[155],"exploring":[157],"features":[159],"cues":[162],"multi-modal":[164],"addition,":[168],"fine-grained":[170],"tracking-under-scenario":[172],"constraint":[173],"(UTUSC)":[174],"protocol":[176],"seven":[178],"challenging":[179],"scenario":[180],"subtest":[181],"sets":[182],"are":[183,230],"constructed":[184],"enable":[186],"community":[188],"develop,":[190],"adapt":[191],"evaluate":[193],"various":[194],"advanced":[197],"provide":[200],"extensive":[201],"evaluations":[202],"detailed":[204],"analyses":[205],"43":[207],"representative":[208],"trackers":[209],"envision":[211],"directions":[214],"field":[217],"beyond.":[223],"The":[224],"dataset,":[225],"toolkits,":[226],"baseline":[228],"results":[229],"available":[231],"at":[232],"https://github.com/983632847/WebUAV-3M.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}