{"id":"https://openalex.org/W7131632673","doi":"https://doi.org/10.1109/tcsvt.2026.3668410","title":"Prompt-Tuning-Guided Dual-Distribution Alignment for Unsupervised 2D\u20133D Cross-Modal Retrieval","display_name":"Prompt-Tuning-Guided Dual-Distribution Alignment for Unsupervised 2D\u20133D Cross-Modal Retrieval","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131632673","doi":"https://doi.org/10.1109/tcsvt.2026.3668410"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2026.3668410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3668410","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5124059726","display_name":"Yaqian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Zhou","raw_affiliation_strings":["College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0001-9473-4221","affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126908604","display_name":"Ruiqiang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqiang Guo","raw_affiliation_strings":["College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126884146","display_name":"Dan Song","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":"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/A5126873370","display_name":"Jiayu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Li","raw_affiliation_strings":["Department of Henan Key Laboratory of Imaging and Intelligent Processing, Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Henan Key Laboratory of Imaging and Intelligent Processing, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":null,"display_name":"An-An Liu","orcid":"https://orcid.org/0000-0001-5755-9145"},"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"],"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18563381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"7","first_page":"9197","last_page":"9211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.4986000061035156,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.4986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.1356000006198883,"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/T11448","display_name":"Face recognition and analysis","score":0.03889999911189079,"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/discriminative-model","display_name":"Discriminative model","score":0.7549999952316284},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6717000007629395},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5579000115394592},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4519999921321869},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4487999975681305},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41510000824928284},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4147999882698059},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41339999437332153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8245000243186951},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7549999952316284},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6717000007629395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.574400007724762},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5579000115394592},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41510000824928284},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41339999437332153},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33309999108314514},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.31859999895095825},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2026.3668410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3668410","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2897621222","display_name":null,"funder_award_id":"L2025B33","funder_id":"https://openalex.org/F4320329228","funder_display_name":"Science Research Foundation of Xijing University"},{"id":"https://openalex.org/G3893871242","display_name":null,"funder_award_id":"QN2025068","funder_id":"https://openalex.org/F4320329228","funder_display_name":"Science Research Foundation of Xijing University"}],"funders":[{"id":"https://openalex.org/F4320329228","display_name":"Science Research Foundation of Xijing University","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"2D-3D":[0],"cross-modal":[1,170],"retrieval":[2],"(2D-3DCMR)":[3],"aims":[4],"at":[5],"retrieving":[6],"the":[7,18,23,30,60,64,96,104,109,125,136,169,194],"most":[8],"matching":[9],"3D":[10,33,81,100,112,128,148],"models":[11],"by":[12,134],"leveraging":[13],"2D":[14,110,126],"query":[15],"images.":[16],"However,":[17],"inherent":[19],"modal":[20],"discrepancy":[21],"makes":[22],"2D-3DCMR":[24,65,187],"task":[25],"still":[26],"largely":[27],"challenging.":[28],"Besides,":[29],"scarcity":[31],"of":[32,99,198],"labels":[34],"in":[35],"real-world":[36],"applications":[37],"severely":[38],"hinders":[39],"learning":[40,75],"discriminative":[41,147],"representations.":[42],"To":[43,102],"address":[44],"these":[45],"limitations,":[46],"we":[47,68,114,150],"present":[48],"a":[49,70,152,173],"prompt":[50,155,174],"tuning":[51],"guided":[52],"dual":[53],"distribution":[54,106],"alignment":[55,120],"(PTG-DDA)":[56],"framework":[57],"based":[58],"on":[59,185],"CLIP":[61],"model":[62],"for":[63],"task.":[66],"Specifically,":[67],"design":[69,115],"learnable":[71,164],"multi-view":[72],"adaptive":[73],"representation":[74,97],"(MARL)":[76],"module":[77,122],"that":[78],"adaptively":[79],"integrates":[80,160],"features":[82],"to":[83,123,131,145,166],"merge":[84],"complementary":[85],"information":[86,91],"and":[87,111,127,191,196],"filter":[88],"out":[89],"redundant":[90],"across":[92],"views,":[93],"thereby":[94,139,177],"improving":[95],"capability":[98],"models.":[101],"mitigate":[103],"feature":[105,119,132,142,180],"shift":[107],"between":[108],"data,":[113],"an":[116],"attention-guided":[117],"heterogeneous":[118,141],"(AHFA)":[121],"guide":[124],"inputs":[129],"attend":[130],"banks":[133],"adopting":[135],"attention":[137],"mechanism,":[138],"achieving":[140,178],"alignment.":[143,181],"Furthermore,":[144],"learn":[146,168],"features,":[149],"employ":[151],"multi-modal":[153],"semantic":[154,179],"synergy":[156,171,175],"(MSPS)":[157],"module,":[158],"which":[159],"class-related":[161],"representations":[162],"into":[163],"prompts":[165],"progressively":[167],"via":[172],"adapter,":[176],"Comprehensive":[182],"experimental":[183],"results":[184],"popular":[186],"benchmarks,":[188],"i.e.,":[189],"MI3DOR":[190],"MI3DOR-2,":[192],"demonstrate":[193],"superiority":[195],"effectiveness":[197],"PTG-DDA.":[199]},"counts_by_year":[],"updated_date":"2026-07-08T06:17:01.165560","created_date":"2026-02-27T00:00:00"}