{"id":"https://openalex.org/W4403488696","doi":"https://doi.org/10.3233/faia240504","title":"PromptCD: Coupled and Decoupled Prompt Learning for Vision-Language Models","display_name":"PromptCD: Coupled and Decoupled Prompt Learning for Vision-Language Models","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403488696","doi":"https://doi.org/10.3233/faia240504"},"language":"en","primary_location":{"id":"doi:10.3233/faia240504","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240504","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia240504","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090084919","display_name":"Junjie Wu","orcid":"https://orcid.org/0000-0002-4178-8952"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjie Wu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017171970","display_name":"Mingjie Sun","orcid":"https://orcid.org/0000-0002-3697-7927"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Mingjie Sun","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University, 20224027010@stu.suda.edu.cn, nyu@stu.suda.edu.cn, mjsun@suda.edu.cn, gongchen18@suda.edu.cn, ghfu@suda.edu.cn","School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University, 20224027010@stu.suda.edu.cn, nyu@stu.suda.edu.cn, mjsun@suda.edu.cn, gongchen18@suda.edu.cn, ghfu@suda.edu.cn","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032428609","display_name":"Chen Gong","orcid":"https://orcid.org/0000-0003-2570-6969"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Chen Gong","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University, 20224027010@stu.suda.edu.cn, nyu@stu.suda.edu.cn, mjsun@suda.edu.cn, gongchen18@suda.edu.cn, ghfu@suda.edu.cn","School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University, 20224027010@stu.suda.edu.cn, nyu@stu.suda.edu.cn, mjsun@suda.edu.cn, gongchen18@suda.edu.cn, ghfu@suda.edu.cn","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100608122","display_name":"Nan Yu","orcid":"https://orcid.org/0000-0001-6051-1126"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Yu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101990229","display_name":"Guohong Fu","orcid":"https://orcid.org/0000-0001-6882-6181"},"institutions":[{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Guohong Fu","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University, 20224027010@stu.suda.edu.cn, nyu@stu.suda.edu.cn, mjsun@suda.edu.cn, gongchen18@suda.edu.cn, ghfu@suda.edu.cn","School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University, 20224027010@stu.suda.edu.cn, nyu@stu.suda.edu.cn, mjsun@suda.edu.cn, gongchen18@suda.edu.cn, ghfu@suda.edu.cn","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090084919"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39157953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.998199999332428,"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":0.998199999332428,"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":0.9394999742507935,"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/T10028","display_name":"Topic Modeling","score":0.9277999997138977,"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":0.5267714262008667},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.45972129702568054},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3990262746810913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34707513451576233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5267714262008667},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.45972129702568054},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3990262746810913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34707513451576233}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240504","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240504","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240504","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240504","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Large-scale":[0],"pre-trained":[1],"vision-language":[2,97],"models":[3,130],"(VLMs),":[4],"like":[5],"CLIP,":[6],"have":[7],"presented":[8],"striking":[9],"generalizability":[10],"for":[11,37,96,147],"adapting":[12],"to":[13,106,121],"image":[14,157],"classification":[15,158],"in":[16,81],"a":[17,25,86,102,138,161],"few":[18],"shot":[19],"setting.":[20],"Most":[21],"existing":[22],"methods":[23],"explore":[24],"set":[26],"of":[27,128,136,163],"learnable":[28],"tokens,":[29],"such":[30,137],"as":[31],"prompt":[32,49,55,91],"learning,":[33],"on":[34,43,131,155],"data-efficient":[35],"utilization":[36],"task":[38],"adaptation.":[39],"However,":[40],"they":[41],"focus":[42],"either":[44],"the":[45,65,73,108,124,129,143],"coupled-modality":[46,104],"property":[47],"by":[48,54],"projection":[50],"or":[51],"decoupled-modality":[52],"characteristic":[53],"consistency,":[56],"which":[57],"ignores":[58],"effective":[59],"interaction":[60,70,109],"between":[61,75,110],"prompts.":[62],"To":[63],"model":[64],"deep":[66],"yet":[67],"sufficient":[68],"cross-modal":[69],"and":[71,78,89,113,126,140,168,171],"enhance":[72],"generalization":[74,125],"both":[76,111],"seen":[77],"unseen":[79,132],"tasks,":[80],"this":[82],"paper,":[83],"we":[84,100,117],"propose":[85,118],"novel":[87],"coupled":[88],"decoupled":[90],"learning":[92],"framework,":[93],"dubbed":[94],"PromptCD,":[95],"models.":[98],"Specifically,":[99],"introduce":[101],"bi-directional":[103],"mechanism":[105,139],"intensify":[107],"vision":[112],"language":[114],"branches.":[115],"Additionally,":[116],"mixture":[119],"consistency":[120,141],"further":[122],"improve":[123],"discrimination":[127],"tasks.":[133,150],"The":[134],"integration":[135],"facilitates":[142],"proposed":[144,179],"framework":[145],"adaptation":[146],"various":[148],"downstream":[149],"We":[151],"conduct":[152],"extensive":[153],"experiments":[154],"11":[156],"datasets":[159],"under":[160],"range":[162],"evaluation":[164],"protocols,":[165],"including":[166],"base-to-novel":[167],"domain":[169],"generalization,":[170],"cross-dataset":[172],"recognition.":[173],"Experimental":[174],"results":[175],"demonstrate":[176],"that":[177],"our":[178],"PromptCD":[180],"overall":[181],"outperforms":[182],"state-of-the-art":[183],"methods.":[184]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}