{"id":"https://openalex.org/W4391164226","doi":"https://doi.org/10.1109/tmm.2024.3358062","title":"Multi-Source and Multi-Target Domain Adaptation Based on Dynamic Generator with Attention","display_name":"Multi-Source and Multi-Target Domain Adaptation Based on Dynamic Generator with Attention","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391164226","doi":"https://doi.org/10.1109/tmm.2024.3358062"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3358062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3358062","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/A5032139219","display_name":"Yuwu Lu","orcid":"https://orcid.org/0000-0003-1215-4915"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwu Lu","raw_affiliation_strings":["School of Software, South China Normal University, Foshan, China"],"raw_orcid":"https://orcid.org/0000-0003-1215-4915","affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Foshan, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103027926","display_name":"Haoyu Huang","orcid":"https://orcid.org/0009-0006-5648-4237"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Huang","raw_affiliation_strings":["School of Software, South China Normal University, Foshan, China"],"raw_orcid":"https://orcid.org/0009-0006-5648-4237","affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Foshan, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024981683","display_name":"Biqing Zeng","orcid":"https://orcid.org/0000-0001-9088-4759"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biqing Zeng","raw_affiliation_strings":["School of Software, South China Normal University, Foshan, China"],"raw_orcid":"https://orcid.org/0000-0001-9088-4759","affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Foshan, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043352718","display_name":"Zhihui Lai","orcid":"https://orcid.org/0000-0002-4388-3080"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Lai","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4388-3080","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2924-946X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2248,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96796577,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"6891","last_page":"6905"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9890000224113464,"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":0.8928468227386475},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.626570999622345},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6153998374938965},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6053755879402161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.587853193283081},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.58587646484375},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5820730328559875},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5568792223930359},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5049017071723938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39261358976364136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3857503831386566},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32180604338645935},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1416621208190918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8928468227386475},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.626570999622345},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6153998374938965},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6053755879402161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.587853193283081},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.58587646484375},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5820730328559875},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5568792223930359},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5049017071723938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39261358976364136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3857503831386566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32180604338645935},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1416621208190918},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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/tmm.2024.3358062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3358062","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":[],"awards":[{"id":"https://openalex.org/G176027883","display_name":null,"funder_award_id":"2022A1515140099","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3627583132","display_name":null,"funder_award_id":"2023A1515012875","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5200290963","display_name":null,"funder_award_id":"62176162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5293734332","display_name":null,"funder_award_id":"62076129","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W4149471","https://openalex.org/W1576445103","https://openalex.org/W1722318740","https://openalex.org/W2096943734","https://openalex.org/W2104094955","https://openalex.org/W2115403315","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2312004824","https://openalex.org/W2593768305","https://openalex.org/W2627183927","https://openalex.org/W2762468750","https://openalex.org/W2765268259","https://openalex.org/W2798991696","https://openalex.org/W2805781993","https://openalex.org/W2889945482","https://openalex.org/W2904706552","https://openalex.org/W2963420686","https://openalex.org/W2963506806","https://openalex.org/W2964288524","https://openalex.org/W2979920800","https://openalex.org/W2981720610","https://openalex.org/W2985459778","https://openalex.org/W2996151060","https://openalex.org/W2998115938","https://openalex.org/W2999794487","https://openalex.org/W3003384866","https://openalex.org/W3038934320","https://openalex.org/W3083641663","https://openalex.org/W3085615344","https://openalex.org/W3088032605","https://openalex.org/W3097340626","https://openalex.org/W3112846941","https://openalex.org/W3119118477","https://openalex.org/W3126595748","https://openalex.org/W3137966214","https://openalex.org/W3145104656","https://openalex.org/W3155499466","https://openalex.org/W3158303530","https://openalex.org/W3159770254","https://openalex.org/W3182963544","https://openalex.org/W3201611548","https://openalex.org/W4200435622","https://openalex.org/W4206453098","https://openalex.org/W4210743024","https://openalex.org/W4213440574","https://openalex.org/W4214623175","https://openalex.org/W4221038138","https://openalex.org/W4225743918","https://openalex.org/W4281609379","https://openalex.org/W4293222296","https://openalex.org/W4319299822","https://openalex.org/W4385245566","https://openalex.org/W6634343353","https://openalex.org/W6683633756","https://openalex.org/W6713955831","https://openalex.org/W6725448924","https://openalex.org/W6750109254","https://openalex.org/W6754770232","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4287064674","https://openalex.org/W3188573563","https://openalex.org/W4321649381","https://openalex.org/W3201246199","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196"],"abstract_inverted_index":{"As":[0],"a":[1,11,25,85,104],"branch":[2],"of":[3,76,132,156],"domain":[4,27,39,44,96,108,165],"adaptation":[5,45,64,97,166],"(DA),":[6],"multi-source":[7,61,93,105],"DA":[8],"(MSDA)":[9],"is":[10,46,139],"challenging":[12],"issue":[13],"that":[14,52,180],"aims":[15],"to":[16,24,98,144],"transfer":[17],"knowledge":[18],"from":[19,124,149],"multiple":[20,42,53],"well-labeled":[21],"source":[22],"domains":[23,55],"target":[26,29,43,54],"for":[28,92],"tasks.":[30],"However,":[31],"most":[32],"existing":[33],"related":[34],"works":[35],"focus":[36],"on":[37,162],"single-target":[38],"adaptation,":[40],"and":[41,62,94,106,173],"not":[47],"accounted":[48],"for.":[49],"We":[50],"believe":[51],"provide":[56],"valuable":[57],"knowledge.":[58],"Meanwhile,":[59],"in":[60,103,141],"multi-target":[63,95,107],"scenarios,":[65],"feature":[66,111,134],"generators":[67],"with":[68,113,121],"static":[69],"parameters":[70,115,120],"have":[71],"difficulty":[72],"generating":[73],"deep":[74,101],"features":[75,102],"each":[77],"individual":[78],"domain.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83,158],"propose":[84],"Dynamic":[86],"Generator":[87],"With":[88],"Attention":[89],"(DGWA)":[90],"method":[91,182],"adapt":[99],"domain-agnostic":[100],"scenario.":[109],"The":[110,176],"generator":[112],"dynamic":[114],"can":[116],"dynamically":[117],"change":[118],"its":[119],"data":[122],"input":[123],"different":[125,150],"domains,":[126],"which":[127],"greatly":[128],"improves":[129],"the":[130,133,154,169],"generalization":[131],"pools.":[135],"An":[136],"attention":[137],"mechanism":[138],"used":[140],"our":[142,181],"DGWA":[143],"learn":[145],"more":[146],"transferable":[147],"information":[148],"domains.":[151],"To":[152],"demonstrate":[153,179],"performance":[155],"DGWA,":[157],"conduct":[159],"extensive":[160],"experiments":[161],"several":[163],"popular":[164],"datasets,":[167],"including":[168],"digits,":[170],"Office+Caltech10,":[171],"Office-Home,":[172],"ImageCLEF-DA":[174],"datasets.":[175],"experimental":[177],"results":[178],"performs":[183],"better":[184],"than":[185],"state-of-the-art":[186],"methods.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}