{"id":"https://openalex.org/W4386076359","doi":"https://doi.org/10.1109/cvpr52729.2023.01818","title":"Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval","display_name":"Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386076359","doi":"https://doi.org/10.1109/cvpr52729.2023.01818"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-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/A5037323143","display_name":"Xiaoshuai Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoshuai Hao","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences","School of Cyber Security, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017704875","display_name":"Wanqian Zhang","orcid":"https://orcid.org/0000-0001-5734-4072"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqian Zhang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002436544","display_name":"Dayan Wu","orcid":"https://orcid.org/0000-0002-8604-7226"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayan Wu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029719997","display_name":"Fei Zhu","orcid":"https://orcid.org/0009-0002-0741-4831"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Zhu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences","School of Cyber Security, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374360","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-6709-0942"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences","School of Cyber Security, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037323143"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":3.3206,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93983537,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"18962","last_page":"18972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9950000047683716,"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":0.8467314839363098},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7392550110816956},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6799618005752563},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6203163862228394},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6048104166984558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5960118174552917},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5523177981376648},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5440288782119751},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4445553421974182},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.41743916273117065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4054147005081177},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3707416355609894},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34743595123291016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8467314839363098},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7392550110816956},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6799618005752563},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6203163862228394},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6048104166984558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5960118174552917},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5523177981376648},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5440288782119751},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4445553421974182},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.41743916273117065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4054147005081177},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3707416355609894},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34743595123291016},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5299590918","display_name":null,"funder_award_id":"2022YFB3103500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5756710083","display_name":null,"funder_award_id":"2022M713348,2022TQ0363","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8925233673","display_name":null,"funder_award_id":"62106258,62006242,62202459","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/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":69,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W2042718506","https://openalex.org/W2104512187","https://openalex.org/W2142900973","https://openalex.org/W2187089797","https://openalex.org/W2425121537","https://openalex.org/W2616994964","https://openalex.org/W2796207103","https://openalex.org/W2798667726","https://openalex.org/W2808399042","https://openalex.org/W2890718122","https://openalex.org/W2962899219","https://openalex.org/W2963107255","https://openalex.org/W2963187488","https://openalex.org/W2963293463","https://openalex.org/W2963389687","https://openalex.org/W2963526065","https://openalex.org/W2963992143","https://openalex.org/W2964288524","https://openalex.org/W2975813532","https://openalex.org/W2981429991","https://openalex.org/W2987427063","https://openalex.org/W2998446648","https://openalex.org/W3004531689","https://openalex.org/W3010531964","https://openalex.org/W3034373833","https://openalex.org/W3034972874","https://openalex.org/W3035356601","https://openalex.org/W3043840704","https://openalex.org/W3046692080","https://openalex.org/W3092022161","https://openalex.org/W3099805905","https://openalex.org/W3110761028","https://openalex.org/W3131890248","https://openalex.org/W3152798676","https://openalex.org/W3153005511","https://openalex.org/W3169044395","https://openalex.org/W3174873881","https://openalex.org/W3175759175","https://openalex.org/W3175888430","https://openalex.org/W3176799298","https://openalex.org/W3177339245","https://openalex.org/W3177492254","https://openalex.org/W3190416739","https://openalex.org/W3195157996","https://openalex.org/W3203755984","https://openalex.org/W3204469733","https://openalex.org/W4214623175","https://openalex.org/W4283075937","https://openalex.org/W4284683033","https://openalex.org/W4285377031","https://openalex.org/W4285606530","https://openalex.org/W4293518846","https://openalex.org/W4304014690","https://openalex.org/W4312729433","https://openalex.org/W4313186260","https://openalex.org/W6633949838","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6713955831","https://openalex.org/W6750041603","https://openalex.org/W6766582784","https://openalex.org/W6781273150","https://openalex.org/W6785481839","https://openalex.org/W6790019176","https://openalex.org/W6791353385","https://openalex.org/W6793759846","https://openalex.org/W6797148833","https://openalex.org/W6800771835"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W1968265719","https://openalex.org/W4312246223","https://openalex.org/W4297577100"],"abstract_inverted_index":{"Video-text":[0,37],"retrieval":[1],"is":[2],"an":[3],"emerging":[4],"stream":[5],"in":[6,63,104,132,151,169,187],"both":[7,149],"computer":[8],"vision":[9],"and":[10,42,75,114,179,203,218,229],"natural":[11],"language":[12],"processing":[13],"communities,":[14],"which":[15,56,162],"aims":[16],"to":[17,99,118,142,166],"find":[18],"relevant":[19,168],"videos":[20,74],"given":[21],"text":[22,115],"queries.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,80,92,110,135],"study":[28],"the":[29,53,59,95,112,121,124,129,137,145,159,180,188,205,212,225,233],"notoriously":[30],"challenging":[31],"task,":[32],"i.e.,":[33,66],"Unsupervised":[34],"Domain":[35,88],"Adaptation":[36,89],"Retrieval":[38],"(UDAVR),":[39],"wherein":[40],"training":[41],"testing":[43],"data":[44],"come":[45],"from":[46],"different":[47],"distributions.":[48],"Previous":[49],"works":[50],"merely":[51],"alleviate":[52],"domain":[54,116,125],"shift,":[55],"however":[57],"overlook":[58],"pairwise":[60,130],"misalignment":[61,131],"issue":[62],"target":[64,73,133,152,170,201,208],"domain,":[65,134,171],"there":[67],"exist":[68],"no":[69],"semantic":[70,97,146],"relationships":[71],"between":[72],"texts.":[76],"To":[77,127,191],"tackle":[78,128],"this,":[79],"propose":[81,136],"a":[82,105],"novel":[83],"method":[84,195],"named":[85],"Dual":[86,138],"Alignment":[87,139],"(DADA).":[90],"Specifically,":[91],"first":[93],"introduce":[94],"cross-modal":[96],"embedding":[98,107],"generate":[100,197],"discriminative":[101],"source":[102],"features":[103],"joint":[106],"space.":[108],"Besides,":[109],"utilize":[111],"video":[113],"adaptations":[117],"smoothly":[119],"balance":[120],"minimization":[122],"of":[123,148,207,227,235],"shifts.":[126],"Consistency":[140],"(DAC)":[141],"fully":[143],"exploit":[144],"information":[147],"modalities":[150],"domain.":[153],"The":[154],"proposed":[155],"DAC":[156],"adaptively":[157],"aligns":[158],"video-text":[160],"pairs":[161,175,202],"are":[163,176],"more":[164,198],"likely":[165],"be":[167,185],"enabling":[172],"that":[173,192],"positive":[174],"increasing":[177],"progressively":[178],"noisy":[181],"ones":[182],"will":[183],"potentially":[184],"aligned":[186,200],"later":[189],"stages.":[190],"end,":[193],"our":[194,236],"can":[196],"truly":[199],"ensure":[204],"discriminability":[206],"features.":[209],"Compared":[210],"with":[211],"state-of-the-art":[213],"methods,":[214],"DADA":[215],"achieves":[216],"20.18%":[217],"18.61%":[219],"relative":[220],"improvements":[221],"on":[222],"R@1":[223],"under":[224],"setting":[226],"TGIF\u2192MSR-VTT":[228],"TGIF\u2192MSVD":[230],"respectively,":[231],"demonstrating":[232],"superiority":[234],"method.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":2}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
