{"id":"https://openalex.org/W4402351728","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650947","title":"SVR-AVT: Scale Variation Robust Active Visual Tracking","display_name":"SVR-AVT: Scale Variation Robust Active Visual Tracking","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351728","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650947"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101397062","display_name":"Biao Zhang","orcid":"https://orcid.org/0000-0001-7867-445X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Zhang","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707142","display_name":"Songchang Jin","orcid":"https://orcid.org/0000-0002-5959-0768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Songchang Jin","raw_affiliation_strings":["Intelligent Game and Decision Lab,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102846370","display_name":"Qianying Ouyang","orcid":"https://orcid.org/0009-0009-0027-7564"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qianying Ouyang","raw_affiliation_strings":["Intelligent Game and Decision Lab,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012369858","display_name":"Huanhuan Yang","orcid":"https://orcid.org/0000-0002-9632-2543"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Yang","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101313280","display_name":"Yuxi Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxi Zheng","raw_affiliation_strings":["Intelligent Game and Decision Lab,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000042218","display_name":"Chunlian Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunlian Fu","raw_affiliation_strings":["Tianjin Artificial Intelligence Innovation Center,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Artificial Intelligence Innovation Center,Tianjin,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019758816","display_name":"Dianxi Shi","orcid":"https://orcid.org/0000-0002-8112-371X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dianxi Shi","raw_affiliation_strings":["Intelligent Game and Decision Lab,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab,Beijing,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9926999807357788,"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":0.9847999811172485,"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/variation","display_name":"Variation (astronomy)","score":0.6206166744232178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141824722290039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5467875599861145},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5337821841239929},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5175537467002869},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4834959805011749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.455973744392395},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4416991174221039},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08307787775993347},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07433190941810608},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07350146770477295}],"concepts":[{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6206166744232178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141824722290039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5467875599861145},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5337821841239929},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5175537467002869},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4834959805011749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.455973744392395},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4416991174221039},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08307787775993347},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07433190941810608},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07350146770477295},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2065072504","https://openalex.org/W2132984949","https://openalex.org/W2296073425","https://openalex.org/W2470394683","https://openalex.org/W2554120691","https://openalex.org/W2557728737","https://openalex.org/W2565639579","https://openalex.org/W2609650878","https://openalex.org/W2886910176","https://openalex.org/W2942465044","https://openalex.org/W2963857746","https://openalex.org/W2963872524","https://openalex.org/W2966759264","https://openalex.org/W2985275943","https://openalex.org/W2988452521","https://openalex.org/W3001584168","https://openalex.org/W3034623328","https://openalex.org/W3136571553","https://openalex.org/W3176069788","https://openalex.org/W3193456779","https://openalex.org/W4246193833","https://openalex.org/W4285216306","https://openalex.org/W4390145164","https://openalex.org/W6679390333","https://openalex.org/W6735677848","https://openalex.org/W6736495777","https://openalex.org/W6738570108","https://openalex.org/W6757058172","https://openalex.org/W6797297730","https://openalex.org/W6797762684","https://openalex.org/W7055423279"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809","https://openalex.org/W1967452726"],"abstract_inverted_index":{"Active":[0,70],"Visual":[1,71],"Tracking":[2,72],"(AVT)":[3],"is":[4],"a":[5,65,78,103,122],"significant":[6],"research":[7],"area":[8],"with":[9,37,117],"extensive":[10],"applications":[11],"in":[12,145,155,166],"fields":[13,120],"such":[14],"as":[15],"drones":[16],"and":[17,121,158,161],"autonomous":[18],"driving.":[19],"AVT":[20,42],"involves":[21],"controlling":[22],"camera":[23],"motion":[24],"based":[25],"on":[26],"visual":[27],"observations":[28],"to":[29,52,95,133,137],"track":[30],"target":[31,96,136],"object(s).":[32],"In":[33],"dynamic":[34],"environments,":[35],"especially":[36],"the":[38,44,87,92,135,139],"presence":[39],"of":[40,46,89,97],"distractors,":[41],"faces":[43],"challenge":[45],"scale":[47,56,104,111,123,159],"variation.":[48],"Existing":[49],"methods":[50,154],"struggle":[51],"effectively":[53],"handle":[54],"these":[55],"changes.":[57],"To":[58],"address":[59],"this":[60,62],"problem,":[61],"paper":[63],"proposes":[64],"novel":[66],"Scale":[67],"Variation":[68],"Robust":[69],"method":[73],"(SVR-AVT).":[74],"We":[75],"first":[76],"introduce":[77],"multi-scale":[79],"multi-stage":[80],"curriculum":[81],"learning":[82,132],"approach.":[83],"By":[84],"progressively":[85],"increasing":[86],"complexity":[88],"tracking":[90],"tasks,":[91],"tracker":[93],"adapts":[94],"various":[98],"scales.":[99],"Secondly,":[100],"we":[101,127],"design":[102],"attention":[105,124],"network,":[106],"which":[107],"adaptively":[108],"extracts":[109],"important":[110],"features":[112],"through":[113],"multiple":[114],"convolutional":[115],"branches":[116],"different":[118],"receptive":[119],"mechanism.":[125],"Moreover,":[126],"employ":[128],"maximum":[129],"position":[130],"entropy":[131],"encourage":[134],"explore":[138],"environment":[140],"more":[141],"extensively.":[142],"Experimental":[143],"results":[144],"3D":[146],"environments":[147],"demonstrate":[148],"that":[149],"SVR-AVT":[150],"significantly":[151],"outperforms":[152],"existing":[153],"handling":[156],"distraction":[157],"variation,":[160],"exhibits":[162],"strong":[163],"generalization":[164],"capability":[165],"unseen":[167],"environments.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}