{"id":"https://openalex.org/W4390938629","doi":"https://doi.org/10.1109/tip.2024.3352392","title":"TransVQA: Transferable Vector Quantization Alignment for Unsupervised Domain Adaptation","display_name":"TransVQA: Transferable Vector Quantization Alignment for Unsupervised Domain Adaptation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390938629","doi":"https://doi.org/10.1109/tip.2024.3352392","pmid":"https://pubmed.ncbi.nlm.nih.gov/38231815"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3352392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3352392","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5019065777","display_name":"Yulin Sun","orcid":"https://orcid.org/0000-0001-9917-0269"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulin Sun","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037310802","display_name":"Weisheng Dong","orcid":"https://orcid.org/0000-0002-9632-985X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Dong","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354039","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2067-2763"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Department of Computer Science, University at Albany, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University at Albany, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100305292","display_name":"Le Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Dong","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458706","display_name":"Xuemei Xie","orcid":"https://orcid.org/0000-0001-7857-0845"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Xie","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019065777"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.0851,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87865006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"856","last_page":"866"},"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":0.9993000030517578,"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":0.9993000030517578,"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":0.6878241300582886},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.639240026473999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6236376762390137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5847832560539246},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.5414957404136658},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5412812232971191},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4845398962497711},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4681815207004547},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4539787471294403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3363191485404968},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1746193766593933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878241300582886},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.639240026473999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6236376762390137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5847832560539246},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.5414957404136658},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5412812232971191},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4845398962497711},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4681815207004547},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4539787471294403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3363191485404968},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1746193766593933},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3352392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3352392","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38231815","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38231815","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G1465847274","display_name":null,"funder_award_id":"62302369","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G326181065","display_name":null,"funder_award_id":"2023M742737","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G712080188","display_name":null,"funder_award_id":"61991451","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1959608418","https://openalex.org/W1994616650","https://openalex.org/W2101234009","https://openalex.org/W2117539524","https://openalex.org/W2125865219","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2593768305","https://openalex.org/W2618530766","https://openalex.org/W2627183927","https://openalex.org/W2752796333","https://openalex.org/W2766897166","https://openalex.org/W2798681837","https://openalex.org/W2904706552","https://openalex.org/W2908510526","https://openalex.org/W2962687275","https://openalex.org/W2963446712","https://openalex.org/W2964288524","https://openalex.org/W2981720610","https://openalex.org/W2981885563","https://openalex.org/W2997739323","https://openalex.org/W2998125392","https://openalex.org/W3021632667","https://openalex.org/W3041133507","https://openalex.org/W3090806161","https://openalex.org/W3094277917","https://openalex.org/W3109093849","https://openalex.org/W3138516171","https://openalex.org/W3176602994","https://openalex.org/W3177316921","https://openalex.org/W3192693288","https://openalex.org/W3206154535","https://openalex.org/W4214520160","https://openalex.org/W4214623175","https://openalex.org/W4226069804","https://openalex.org/W4281382720","https://openalex.org/W4295150927","https://openalex.org/W4304092176","https://openalex.org/W4319299795","https://openalex.org/W4386811870","https://openalex.org/W6639480849","https://openalex.org/W6640963894","https://openalex.org/W6675354045","https://openalex.org/W6683633756","https://openalex.org/W6713955831","https://openalex.org/W6733525777","https://openalex.org/W6739901393","https://openalex.org/W6746171285","https://openalex.org/W6750109254","https://openalex.org/W6757817989","https://openalex.org/W6761139768","https://openalex.org/W6762931180","https://openalex.org/W6801682309"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2100492357","https://openalex.org/W2202992072"],"abstract_inverted_index":{"Unsupervised":[0,78],"Domain":[1,79],"adaptation":[2,21,110,206],"(UDA)":[3],"aims":[4],"to":[5,13,30,45,49,55,117,141,187],"transfer":[6],"knowledge":[7],"from":[8],"the":[9,14,37,51,84,115,131,143,149,176,184,189,195],"labeled":[10],"source":[11],"domain":[12,20,92,109,150,191,205],"unlabeled":[15],"target":[16,190],"domain.":[17],"Most":[18],"existing":[19,216],"methods":[22],"are":[23],"based":[24,129],"on":[25,130,201],"convolutional":[26],"neural":[27],"networks":[28],"(CNNs)":[29],"learn":[31],"cross-domain":[32,145],"invariant":[33],"features.":[34],"Inspired":[35],"by":[36,175],"success":[38],"of":[39,103,179,197,204],"transformer":[40,52,116],"architectures":[41],"and":[42,95,147,162,193,214],"their":[43,57],"superiority":[44],"CNNs,":[46],"we":[47,63,182],"propose":[48],"combine":[50],"with":[53],"UDA":[54],"improve":[56],"generalization":[58],"properties.":[59],"In":[60],"this":[61],"paper,":[62],"present":[64],"a":[65,107,137],"novel":[66],"model":[67],"named":[68],"Trans":[69],"ferable":[70],"V":[71],"ector":[72],"Q":[73],"uantization":[74],"A":[75],"lignment":[76],"for":[77,125,169],"Adaptation":[80],"(TransVQA),":[81],"which":[82],"integrates":[83],"Transferable":[85],"transformer-based":[86],"feature":[87,171],"extractor":[88],"(Trans),":[89],"vector":[90,132,160],"quantization":[91,133,161],"alignment":[93,134,139,155,158,165,178],"(VQA),":[94],"mutual":[96],"information":[97],"weighted":[98],"maximization":[99],"confusion":[100],"matrix":[101],"(MIMC)":[102],"intra-class":[104,163,170],"discrimination":[105,172],"into":[106],"unified":[108],"framework.":[111],"First,":[112],"TransVQA":[113,209],"uses":[114,136],"extract":[118],"more":[119],"accurate":[120],"features":[121,146],"in":[122],"different":[123,180],"domains":[124],"classification.":[126],"Second,":[127],"TransVQA,":[128],"module,":[135],"two-step":[138,154],"method":[140],"align":[142],"extracted":[144],"solve":[148],"shift":[151],"problem.":[152],"The":[153,199],"includes":[156],"global":[157],"via":[159,166],"local":[164],"pseudo-labels.":[167,198],"Third,":[168],"problem":[173],"caused":[174],"fuzzy":[177],"domains,":[181],"use":[183],"MIMC":[185],"module":[186],"constrain":[188],"output":[192],"increase":[194],"accuracy":[196],"experiments":[200],"several":[202],"datasets":[203],"show":[207],"that":[208],"can":[210],"achieve":[211],"excellent":[212],"performance":[213],"outperform":[215],"state-of-the-art":[217],"methods.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
