{"id":"https://openalex.org/W4387546271","doi":"https://doi.org/10.1109/tmm.2023.3323862","title":"Progressive Fourier Adversarial Domain Adaptation for Object Classification and Retrieval","display_name":"Progressive Fourier Adversarial Domain Adaptation for Object Classification and Retrieval","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4387546271","doi":"https://doi.org/10.1109/tmm.2023.3323862"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3323862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3323862","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5012498645","display_name":"Tian-Bao Li","orcid":"https://orcid.org/0000-0001-6543-5660"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Bao Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6543-5660","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu-Ting Su","orcid":"https://orcid.org/0000-0003-2648-7358"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Ting Su","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2648-7358","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634207","display_name":"Dan Song","orcid":"https://orcid.org/0000-0002-5864-0276"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Song","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5864-0276","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339851","display_name":"Wenhui Li","orcid":"https://orcid.org/0000-0001-9609-6120"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Hui Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9609-6120","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079932099","display_name":"Zhiqiang Wei","orcid":"https://orcid.org/0000-0002-2830-8301"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Qiang Wei","raw_affiliation_strings":["School of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-2830-8301","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109757213","display_name":"An-An Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An-An Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China","Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5755-9145","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1771,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8259717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"4540","last_page":"4553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9926000237464905,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7982156872749329},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7658162713050842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6231206655502319},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5910120606422424},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5795003175735474},{"id":"https://openalex.org/keywords/fourier-domain","display_name":"Fourier domain","score":0.5339431166648865},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4685085117816925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44224172830581665},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.2544093132019043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10276156663894653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7982156872749329},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7658162713050842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6231206655502319},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5910120606422424},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5795003175735474},{"id":"https://openalex.org/C3019555358","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Fourier domain","level":3,"score":0.5339431166648865},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4685085117816925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44224172830581665},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2544093132019043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10276156663894653},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3323862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3323862","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1611867576","display_name":null,"funder_award_id":"2022M712369","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G173205433","display_name":null,"funder_award_id":"U21B2024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6452071952","display_name":null,"funder_award_id":"U22A2068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G70510124","display_name":null,"funder_award_id":"62202327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7458595415","display_name":"\u9762\u5411\u590d\u6742\u573a\u666f\u89c6\u9891\u7684\u89c6\u89c9\u5173\u7cfb\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072232","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2021122545","https://openalex.org/W2096070062","https://openalex.org/W2096733369","https://openalex.org/W2099789128","https://openalex.org/W2108598243","https://openalex.org/W2115403315","https://openalex.org/W2122585444","https://openalex.org/W2149466042","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2471581439","https://openalex.org/W2572117954","https://openalex.org/W2616287544","https://openalex.org/W2627183927","https://openalex.org/W2779039928","https://openalex.org/W2884771968","https://openalex.org/W2950111065","https://openalex.org/W2962687275","https://openalex.org/W2963073217","https://openalex.org/W2963275094","https://openalex.org/W2963506806","https://openalex.org/W2963731667","https://openalex.org/W2963744743","https://openalex.org/W2963775347","https://openalex.org/W2963858297","https://openalex.org/W2969985801","https://openalex.org/W2972285644","https://openalex.org/W2976674591","https://openalex.org/W2976726839","https://openalex.org/W2981506675","https://openalex.org/W2981720610","https://openalex.org/W2984957018","https://openalex.org/W2998705539","https://openalex.org/W3022509031","https://openalex.org/W3034591020","https://openalex.org/W3034706886","https://openalex.org/W3034724202","https://openalex.org/W3035236545","https://openalex.org/W3035576098","https://openalex.org/W3040854439","https://openalex.org/W3049237381","https://openalex.org/W3093133634","https://openalex.org/W3096831136","https://openalex.org/W3097259160","https://openalex.org/W3118945974","https://openalex.org/W3138366398","https://openalex.org/W3155499466","https://openalex.org/W3177316921","https://openalex.org/W3183605589","https://openalex.org/W3202176705","https://openalex.org/W3204240983","https://openalex.org/W3206154535","https://openalex.org/W4207018409","https://openalex.org/W4210527113","https://openalex.org/W4210923626","https://openalex.org/W4225789408","https://openalex.org/W4226137223","https://openalex.org/W4226198565","https://openalex.org/W4312592225","https://openalex.org/W4365790358","https://openalex.org/W6633949838","https://openalex.org/W6639480849","https://openalex.org/W6677328822","https://openalex.org/W6683633756","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6750109254","https://openalex.org/W6751635369","https://openalex.org/W6761139768","https://openalex.org/W6762083118","https://openalex.org/W6766776083"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4312246223","https://openalex.org/W4300172004","https://openalex.org/W4285277379","https://openalex.org/W2154006453","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2053880394"],"abstract_inverted_index":{"Domain":[0,60],"adaptation":[1,75,115],"has":[2],"been":[3],"extensively":[4],"explored":[5],"as":[6],"a":[7,37,56,80,87,111],"means":[8],"of":[9,29,104,127,145,164],"transferring":[10],"knowledge":[11,42],"from":[12,44],"the":[13,18,27,101,105,119,125,143,161,165],"labeled":[14,150],"source":[15,45,93,106,151],"domain":[16,21,34,46,74,90,114,122,154,174],"to":[17,40,47,85,123],"unlabeled":[19],"target":[20,30,48,96],"with":[22,95],"disparate":[23],"data":[24],"distributions.":[25],"However,":[26],"absence":[28],"annotations":[31],"and":[32,66,136,152,178],"significant":[33],"discrepancies":[35],"pose":[36],"great":[38],"challenge":[39],"transfer":[41,83],"directly":[43],"domain.":[49],"To":[50],"address":[51],"this":[52],"challenge,":[53],"we":[54,78,109,131],"propose":[55,79],"Progressive":[57],"Fourier":[58,88,120],"Adversarial":[59],"Adaptation":[61],"(PFADA)":[62],"framework,":[63],"an":[64],"effective":[65],"versatile":[67],"framework":[68],"which":[69,140],"can":[70],"generalize":[71],"across":[72,168],"multiple":[73,173],"tasks.":[76],"Firstly,":[77],"Fourier-based":[81],"style":[82],"strategy":[84],"generate":[86],"intermediate":[89,121,153],"that":[91,117],"incorporates":[92],"images":[94],"domain-specific":[97],"styles,":[98],"while":[99],"preserving":[100],"domain-invariant":[102,128],"representations":[103,148],"data.":[107,155],"Secondly,":[108],"introduce":[110],"progressive":[112],"adversarial":[113],"approach":[116],"utilizes":[118],"facilitate":[124],"learning":[126,144],"representations.":[129],"Finally,":[130],"present":[132],"cross-domain":[133,147],"semantic":[134],"alignment":[135],"discriminative":[137,146],"enhancement":[138],"approach,":[139],"effectively":[141],"guides":[142],"utilizing":[149],"Extensive":[156],"experimental":[157],"evaluations":[158],"consistently":[159],"validate":[160],"superior":[162],"performance":[163],"proposed":[166],"method":[167],"diverse":[169],"visual":[170],"tasks,":[171],"encompassing":[172],"adaptive":[175],"image":[176],"classification":[177],"retrieval":[179],"scenarios.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}