{"id":"https://openalex.org/W4408100047","doi":"https://doi.org/10.1109/tcsvt.2025.3546951","title":"Adaptive Multi-Resolution Feature Fusion for Fine-Grained Visual Classification","display_name":"Adaptive Multi-Resolution Feature Fusion for Fine-Grained Visual Classification","publication_year":2025,"publication_date":"2025-03-03","ids":{"openalex":"https://openalex.org/W4408100047","doi":"https://doi.org/10.1109/tcsvt.2025.3546951"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3546951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3546951","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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":"Yuqi Yang","orcid":"https://orcid.org/0009-0004-9342-8520"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Yang","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","School of Artificial Intelligence, Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-9342-8520","affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Artificial Intelligence, Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007417490","display_name":"Dongliang Chang","orcid":"https://orcid.org/0000-0002-4081-3001"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongliang Chang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4081-3001","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011876517","display_name":"Ruoyi Du","orcid":"https://orcid.org/0000-0001-8372-5637"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoyi Du","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","School of Artificial Intelligence, Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8372-5637","affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Artificial Intelligence, Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046046128","display_name":"Yi-Zhe Song","orcid":"https://orcid.org/0000-0001-5908-3275"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yi-Zhe Song","raw_affiliation_strings":["SketchX, CVSSP, University of Surrey, Guildford, U.K","SketchX, CVSSP, University of Surrey, Guildford, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-5908-3275","affiliations":[{"raw_affiliation_string":"SketchX, CVSSP, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"SketchX, CVSSP, University of Surrey, Guildford, United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039812471","display_name":"Zhanyu Ma","orcid":"https://orcid.org/0000-0003-2950-2488"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanyu Ma","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","School of Artificial Intelligence, Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2950-2488","affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Artificial Intelligence, Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2966,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87178244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"35","issue":"8","first_page":"8252","last_page":"8264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9465000033378601,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9465000033378601,"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/T10057","display_name":"Face and Expression Recognition","score":0.9189000129699707,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9027000069618225,"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":0.6985244750976562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6295902729034424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5834047794342041},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5230240225791931},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49437403678894043},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49313992261886597},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4845975637435913},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4690813422203064},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4506511688232422},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4245035648345947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2104436755180359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985244750976562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6295902729034424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5834047794342041},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5230240225791931},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49437403678894043},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49313992261886597},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4845975637435913},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4690813422203064},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4506511688232422},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4245035648345947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2104436755180359},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3546951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3546951","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G1481198934","display_name":null,"funder_award_id":"62406171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G172479822","display_name":null,"funder_award_id":"62225601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3659141241","display_name":null,"funder_award_id":"2023M741961","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4363778873","display_name":null,"funder_award_id":"L242025","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G8677236040","display_name":null,"funder_award_id":"U23B2052","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/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W1552847225","https://openalex.org/W1836465849","https://openalex.org/W1898560071","https://openalex.org/W2009331838","https://openalex.org/W2104657103","https://openalex.org/W2108598243","https://openalex.org/W2138011018","https://openalex.org/W2194775991","https://openalex.org/W2202499615","https://openalex.org/W2398118205","https://openalex.org/W2462457117","https://openalex.org/W2606128082","https://openalex.org/W2761785940","https://openalex.org/W2773003563","https://openalex.org/W2789209438","https://openalex.org/W2798381792","https://openalex.org/W2798913983","https://openalex.org/W2807931652","https://openalex.org/W2808178187","https://openalex.org/W2882999943","https://openalex.org/W2884751099","https://openalex.org/W2891951760","https://openalex.org/W2892816441","https://openalex.org/W2909384861","https://openalex.org/W2951464224","https://openalex.org/W2961018736","https://openalex.org/W2963393555","https://openalex.org/W2963407932","https://openalex.org/W2982512212","https://openalex.org/W2988396473","https://openalex.org/W2990495699","https://openalex.org/W2997809650","https://openalex.org/W2998345525","https://openalex.org/W2998619563","https://openalex.org/W3005359536","https://openalex.org/W3008809756","https://openalex.org/W3010121230","https://openalex.org/W3011727199","https://openalex.org/W3028797339","https://openalex.org/W3035367622","https://openalex.org/W3108870912","https://openalex.org/W3126558081","https://openalex.org/W3130788242","https://openalex.org/W3139434170","https://openalex.org/W3165691894","https://openalex.org/W3166091781","https://openalex.org/W3195399086","https://openalex.org/W3213192039","https://openalex.org/W4230428500","https://openalex.org/W4304084267","https://openalex.org/W4312359177","https://openalex.org/W4320008793","https://openalex.org/W4321780048","https://openalex.org/W4322706798","https://openalex.org/W4378194996","https://openalex.org/W4379983950","https://openalex.org/W4383899699","https://openalex.org/W4385660754","https://openalex.org/W4386065693","https://openalex.org/W4386072096","https://openalex.org/W4386075994","https://openalex.org/W4387967986","https://openalex.org/W4388187887","https://openalex.org/W4390872568","https://openalex.org/W4391936133","https://openalex.org/W4392151693","https://openalex.org/W4395471044","https://openalex.org/W4399110646","https://openalex.org/W4400032918","https://openalex.org/W4402978308","https://openalex.org/W6638319203","https://openalex.org/W6638677478","https://openalex.org/W6726497184","https://openalex.org/W6736057607"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272","https://openalex.org/W1989561795"],"abstract_inverted_index":{"Despite":[0],"significant":[1],"progress,":[2],"the":[3,49,71,96,129,133,165,168,179,187,193,198,205,215],"shortage":[4],"of":[5,74,92,99,125,132,170,189,217],"labeled":[6],"data":[7,35,42],"and":[8,145,178,202],"expert":[9],"knowledge":[10],"remains":[11],"a":[12,64,118,158],"challenge":[13],"for":[14,34,112,186],"Fine-grained":[15],"Visual":[16],"Classification":[17],"(FGVC).":[18],"Some":[19],"multi-source":[20,52],"approaches":[21],"that":[22,83,121,137],"incorporate":[23],"additional":[24,110],"modalities,":[25],"such":[26],"as":[27],"sound":[28],"or":[29],"bounding":[30],"boxes,":[31],"show":[32],"promise":[33],"enrichment":[36],"but":[37],"introduce":[38],"added":[39],"complexity":[40],"to":[41,87,200],"collection.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,81,135,153,156],"pose":[48],"question:":[50],"can":[51,108],"capabilities":[53],"be":[54],"achieved":[55],"solely":[56],"with":[57,77],"existing":[58],"images?":[59],"The":[60],"answer,":[61],"confirmed":[62],"by":[63],"pilot":[65],"study,":[66],"is":[67,102,151,223],"affirmative.":[68],"By":[69],"analyzing":[70],"probability":[72],"distribution":[73],"model":[75,199],"output":[76],"different":[78,93],"resolutions":[79],"image,":[80],"find":[82,136],"complementary":[84,182,206],"information":[85,111],"beneficial":[86],"FGVC":[88,212],"exists":[89],"among":[90],"images":[91,101,142,150,172,191],"resolutions.":[94],"Although":[95],"classification":[97],"accuracy":[98],"low-resolution":[100,141,149,171],"lower":[103],"than":[104],"high-resolution":[105,113,176,190],"images,":[106,177],"it":[107],"provide":[109],"input":[114],"images.":[115,127],"We":[116],"designed":[117],"naive":[119],"baseline":[120],"uses":[122],"mixed":[123],"training":[124],"multi-resolution":[126],"Through":[128,164],"experimental":[130],"results":[131,209],"baseline,":[134],"i)":[138],"not":[139],"all":[140],"are":[143,173,184],"beneficial,":[144],"ii)":[146],"adaptively":[147],"selecting":[148],"what":[152],"need.":[154],"Therefore,":[155],"proposed":[157,219],"meta-learning-based":[159],"adaptive":[160],"\u201cresolution\u201d":[161],"pooling":[162,166],"layer.":[163],"operation,":[167],"features":[169,183,188],"obtained":[174],"from":[175],"most":[180],"appropriate":[181],"selected":[185],"through":[192],"gating":[194],"mechanism,":[195],"which":[196],"enables":[197],"fully":[201],"autonomously":[203],"exploit":[204],"information.":[207],"Experimental":[208],"on":[210],"three":[211],"datasets":[213],"validate":[214],"effectiveness":[216],"our":[218],"method.":[220],"Our":[221],"code":[222],"available":[224],"at":[225],"<uri":[226],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[227],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/PRIS-CV/Adaptive-Multi-Resolution-Feature-Fusion</uri>.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
