{"id":"https://openalex.org/W4362714795","doi":"https://doi.org/10.1109/jiot.2023.3265645","title":"Improving the Generalization of Visual Classification Models Across IoT Cameras via Cross-Modal Inference and Fusion","display_name":"Improving the Generalization of Visual Classification Models Across IoT Cameras via Cross-Modal Inference and Fusion","publication_year":2023,"publication_date":"2023-04-07","ids":{"openalex":"https://openalex.org/W4362714795","doi":"https://doi.org/10.1109/jiot.2023.3265645"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3265645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3265645","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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":"https://openalex.org/A5091682831","display_name":"Qingling Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Ling Guan","raw_affiliation_strings":["School of Optics and Photonics, Beijing Key Laboratory Precis Optoelect Measurement Institute, Beijing Institute of Technology, Beijing, China","Yangtze River Delta Research Institute, Beijing Institute of Technology (Jiaxing), Jiaxing, China"],"raw_orcid":"https://orcid.org/0000-0001-5147-0326","affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Key Laboratory Precis Optoelect Measurement Institute, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Yangtze River Delta Research Institute, Beijing Institute of Technology (Jiaxing), Jiaxing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018130955","display_name":"Yuze Zheng","orcid":"https://orcid.org/0009-0003-5718-8366"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuze Zheng","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0003-5718-8366","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629169","display_name":"Lei Meng","orcid":"https://orcid.org/0000-0002-0273-5946"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Meng","raw_affiliation_strings":["Shandong University and Shandong Research Institute of Industrial Technology, Zaozhuang, China"],"raw_orcid":"https://orcid.org/0000-0002-0273-5946","affiliations":[{"raw_affiliation_string":"Shandong University and Shandong Research Institute of Industrial Technology, Zaozhuang, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102855776","display_name":"Liquan Dong","orcid":"https://orcid.org/0009-0000-0095-8583"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Quan Dong","raw_affiliation_strings":["School of Optics and Photonics, Beijing Key Laboratory Precis Optoelect Measurement Institute, Beijing Institute of Technology, Beijing, China","Yangtze River Delta Research Institute, Beijing Institute of Technology (Jiaxing), Jiaxing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Key Laboratory Precis Optoelect Measurement Institute, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Yangtze River Delta Research Institute, Beijing Institute of Technology (Jiaxing), Jiaxing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049976796","display_name":"Qun Hao","orcid":"https://orcid.org/0000-0002-9819-731X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Hao","raw_affiliation_strings":["School of Optics and Photonics, Beijing Key Laboratory Precis Optoelect Measurement Institute, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9819-731X","affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Key Laboratory Precis Optoelect Measurement Institute, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7018,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86391106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":"18","first_page":"15835","last_page":"15846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.807085394859314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.704035758972168},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6566358804702759},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6446781158447266},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6109336614608765},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.49380144476890564},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4736959934234619},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4522538483142853},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43077653646469116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4297247529029846},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.42664772272109985},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41270628571510315},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4126695394515991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807085394859314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.704035758972168},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6566358804702759},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6446781158447266},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6109336614608765},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.49380144476890564},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4736959934234619},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4522538483142853},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43077653646469116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4297247529029846},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.42664772272109985},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41270628571510315},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4126695394515991},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3265645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3265645","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2319087628","display_name":null,"funder_award_id":"2021YFC3300203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1710476689","https://openalex.org/W1927052826","https://openalex.org/W1947481528","https://openalex.org/W1951319388","https://openalex.org/W1959608418","https://openalex.org/W2007972815","https://openalex.org/W2036067353","https://openalex.org/W2052914920","https://openalex.org/W2067562626","https://openalex.org/W2150143163","https://openalex.org/W2194775991","https://openalex.org/W2195562869","https://openalex.org/W2425121537","https://openalex.org/W2473618152","https://openalex.org/W2508497007","https://openalex.org/W2526198870","https://openalex.org/W2706729717","https://openalex.org/W2758375579","https://openalex.org/W2782829507","https://openalex.org/W2808662688","https://openalex.org/W2883429621","https://openalex.org/W2891355224","https://openalex.org/W2897135094","https://openalex.org/W2897611955","https://openalex.org/W2948037078","https://openalex.org/W2963246338","https://openalex.org/W2963275094","https://openalex.org/W2963377353","https://openalex.org/W2964137095","https://openalex.org/W2964288524","https://openalex.org/W2965458216","https://openalex.org/W2965521716","https://openalex.org/W2980096013","https://openalex.org/W2981794866","https://openalex.org/W3027883268","https://openalex.org/W3036625283","https://openalex.org/W3043840704","https://openalex.org/W3047011367","https://openalex.org/W3047379413","https://openalex.org/W3092755432","https://openalex.org/W3092995403","https://openalex.org/W3094502228","https://openalex.org/W3102661353","https://openalex.org/W3127560734","https://openalex.org/W3167976421","https://openalex.org/W3175196926","https://openalex.org/W3176159246","https://openalex.org/W3176463841","https://openalex.org/W3196443865","https://openalex.org/W3209306061","https://openalex.org/W3209540366","https://openalex.org/W3211133823","https://openalex.org/W4200528395","https://openalex.org/W4205632673","https://openalex.org/W4224883195","https://openalex.org/W4283388045","https://openalex.org/W4292830121","https://openalex.org/W4293518926","https://openalex.org/W4312297142","https://openalex.org/W4312416173","https://openalex.org/W4312541129","https://openalex.org/W4312924281","https://openalex.org/W4313019125","https://openalex.org/W4313159166","https://openalex.org/W4313307857","https://openalex.org/W4321354006","https://openalex.org/W6628877408","https://openalex.org/W6637373629","https://openalex.org/W6640963894","https://openalex.org/W6739520758","https://openalex.org/W6766582784","https://openalex.org/W6784333009","https://openalex.org/W6789753369"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"The":[0,239],"performance":[1,266],"of":[2,8,25,53,136,139,251,267],"visual":[3,55,63,74,97,148,194,253,269],"classification":[4,56,187,223,254,270],"models":[5,60],"across":[6],"Internet":[7],"Things":[9],"devices":[10],"is":[11,160,258],"usually":[12,43],"limited":[13],"by":[14,88],"the":[15,22,26,45,50,54,59,62,66,96,107,114,118,121,137,164,169,185,190,193,196,208,226,248,252,265],"changes":[16],"in":[17,31,120,167],"local":[18],"environments,":[19],"resulted":[20],"from":[21,65,106,192],"diverse":[23],"appearances":[24],"target":[27],"objects":[28],"and":[29,34,75,98,117,143,154,172,188,212,230,237,256],"differences":[30,119],"light":[32],"conditions":[33],"background":[35],"scenes.":[36],"To":[37,125],"alleviate":[38,126],"these":[39],"problems,":[40],"existing":[41],"studies":[42],"introduce":[44],"multimodal":[46,115],"information":[47,180],"to":[48,162,183,195],"guide":[49],"learning":[51,89,249],"process":[52],"models,":[57,255],"making":[58],"extract":[61],"features":[64,77,116,166],"discriminative":[67],"image":[68],"regions.":[69],"Especially,":[70],"cross-modal":[71,152,179],"alignment":[72,141,236],"between":[73,109],"textual":[76],"has":[78],"been":[79],"considered":[80],"as":[81,113,158],"an":[82],"effective":[83],"way":[84],"for":[85,95,221],"this":[86,102,127,129],"task":[87],"a":[90,133,151,178,259],"domain-consistent":[91],"latent":[92],"feature":[93,123,170,235],"space":[94],"semantic":[99,197],"features.":[100],"However,":[101],"approach":[103],"may":[104],"suffer":[105],"heterogeneity":[108],"multiple":[110],"modalities,":[111],"such":[112],"learned":[122],"values.":[124,173],"problem,":[128],"article":[130],"first":[131],"presents":[132],"comparative":[134],"analysis":[135],"functionality":[138],"various":[140],"strategies":[142],"their":[144],"impacts":[145],"on":[146,202,225,234],"improving":[147],"classification.":[149],"Subsequently,":[150],"inference":[153],"fusion":[155],"framework":[156,261],"(termed":[157],"CRIF)":[159],"proposed":[161],"align":[163],"heterogeneous":[165],"both":[168],"distributions":[171],"More":[174],"importantly,":[175],"CRIF":[176,244],"includes":[177],"enrichment":[181],"module":[182],"improve":[184,247],"final":[186],"learn":[189],"mappings":[191],"space.":[198],"We":[199,217],"conduct":[200,231],"experiments":[201,233],"four":[203,227],"benchmarking":[204],"data":[205,215,228],"sets,":[206],"i.e.,":[207],"Vireo-Food172,":[209],"NUS-WIDE,":[210],"MSR-VTT,":[211],"ActivityNet":[213],"Captions":[214],"sets.":[216],"report":[218],"state-of-the-art":[219,268],"results":[220,241],"basic":[222],"tasks":[224],"sets":[229],"subsequent":[232],"fusion.":[238],"experimental":[240],"verify":[242],"that":[243,262],"can":[245],"effectively":[246],"ability":[250],"it":[257],"model-agnostic":[260],"consistently":[263],"improves":[264],"models.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}