{"id":"https://openalex.org/W4403446102","doi":"https://doi.org/10.1109/tbdata.2024.3481898","title":"Deep Residual Coupled Prompt Learning for Zero-Shot Sketch-Based Image Retrieval","display_name":"Deep Residual Coupled Prompt Learning for Zero-Shot Sketch-Based Image Retrieval","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403446102","doi":"https://doi.org/10.1109/tbdata.2024.3481898"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2024.3481898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3481898","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","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/A5011699388","display_name":"Guangyao Zhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyao Zhuo","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083569726","display_name":"Zhenqiu Shu","orcid":"https://orcid.org/0000-0001-5737-3383"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenqiu Shu","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114488777","display_name":"Zhengtao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011699388"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":1.2373,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81178266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"3","first_page":"1493","last_page":"1507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9944000244140625,"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":0.9944000244140625,"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":0.9940000176429749,"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":0.9621999859809875,"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":0.8134289383888245},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6980305910110474},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.6859289407730103},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.653749942779541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6018643975257874},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4697205126285553},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.4450169503688812},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.43588393926620483},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3876548111438751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3734133839607239},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.361156165599823},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1984064280986786},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07126426696777344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134289383888245},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6980305910110474},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.6859289407730103},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.653749942779541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6018643975257874},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4697205126285553},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.4450169503688812},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.43588393926620483},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3876548111438751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3734133839607239},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.361156165599823},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1984064280986786},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07126426696777344},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2024.3481898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3481898","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4479882814","display_name":null,"funder_award_id":"U21B2027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5513235841","display_name":null,"funder_award_id":"62162033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6739637903","display_name":null,"funder_award_id":"6246070439","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2030137299","https://openalex.org/W2108598243","https://openalex.org/W2128543433","https://openalex.org/W2153404544","https://openalex.org/W2332729875","https://openalex.org/W2466618734","https://openalex.org/W2471581439","https://openalex.org/W2493181180","https://openalex.org/W2511925527","https://openalex.org/W2560647685","https://openalex.org/W2603445054","https://openalex.org/W2776402438","https://openalex.org/W2885402090","https://openalex.org/W2950755948","https://openalex.org/W2962747232","https://openalex.org/W2962945761","https://openalex.org/W2962990451","https://openalex.org/W2970476646","https://openalex.org/W2972457153","https://openalex.org/W2972900692","https://openalex.org/W2988772405","https://openalex.org/W2997645545","https://openalex.org/W3025895701","https://openalex.org/W3057906563","https://openalex.org/W3129072783","https://openalex.org/W3176372702","https://openalex.org/W3185341429","https://openalex.org/W3191326487","https://openalex.org/W3198377975","https://openalex.org/W3207288552","https://openalex.org/W3211258519","https://openalex.org/W4210867585","https://openalex.org/W4226058394","https://openalex.org/W4229453513","https://openalex.org/W4283815156","https://openalex.org/W4284961860","https://openalex.org/W4285106444","https://openalex.org/W4304091961","https://openalex.org/W4310557340","https://openalex.org/W4311802212","https://openalex.org/W4312310776","https://openalex.org/W4312420092","https://openalex.org/W4312480274","https://openalex.org/W4312559104","https://openalex.org/W4312925417","https://openalex.org/W4364302131","https://openalex.org/W4386065553","https://openalex.org/W4386075842","https://openalex.org/W4386076063","https://openalex.org/W4386790226","https://openalex.org/W4389619528","https://openalex.org/W4403791469","https://openalex.org/W6755207826","https://openalex.org/W6784333009","https://openalex.org/W6790019176","https://openalex.org/W6791353385","https://openalex.org/W6798805250","https://openalex.org/W6802517928","https://openalex.org/W6803476161","https://openalex.org/W6810879928","https://openalex.org/W6811013733"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W1494563618","https://openalex.org/W2185495922"],"abstract_inverted_index":{"Zero-shot":[0],"sketch-based":[1],"image":[2],"retrieval":[3,68],"(ZS-SBIR)":[4],"aims":[5],"to":[6,36,45,50,116,179,213],"utilize":[7],"freehand":[8],"sketches":[9],"for":[10,79,106],"retrieving":[11],"natural":[12],"images":[13],"with":[14],"similar":[15],"semantics":[16],"in":[17,63,70,84,229],"realistic":[18],"zero-shot":[19,25,52,128],"scenarios.":[20,72],"Existing":[21],"works":[22],"focus":[23],"on":[24],"semantic":[26,53,129],"transfer":[27],"using":[28],"category":[29,57,118],"word":[30,58],"embedding":[31,59],"and":[32,125,134,145,187],"leveraging":[33],"teacher-student":[34],"networks":[35],"alleviate":[37],"catastrophic":[38,159],"forgetting":[39],"of":[40,90,114,127,149,168],"pre-trained":[41],"models.":[42],"They":[43],"aim":[44],"retain":[46],"rich":[47,215],"discriminative":[48],"features":[49],"achieve":[51],"transfer.":[54,130],"However,":[55],"the":[56,75,111,123,143,147,150,165,169,174,181,185,192],"method":[60,225],"is":[61],"insufficient":[62],"flexibility,":[64],"thereby":[65,121],"limiting":[66],"their":[67],"performances":[69],"ZS-SBIR":[71,230],"In":[73],"addition,":[74],"teacher":[76],"network":[77],"used":[78],"generating":[80],"guidance":[81],"signals":[82],"results":[83,220],"computational":[85,166],"redundancy,":[86],"requiring":[87],"repeated":[88],"processing":[89],"mini-batch":[91],"inputs.":[92],"To":[93,131],"address":[94],"these":[95],"issues,":[96],"we":[97,109,138,199],"propose":[98],"a":[99],"deep":[100],"residual":[101],"coupled":[102],"prompt":[103,176],"learning":[104,206],"(DRCPL)":[105],"ZS-SBIR.":[107],"Specifically,":[108],"leverage":[110],"text":[112,133,186],"encoder":[113],"CLIP":[115,151],"generate":[117],"classification":[119],"weights,":[120],"improving":[122],"flexibility":[124],"generality":[126],"tune":[132],"vision":[135,188],"representations":[136],"effectively,":[137],"introduce":[139,173],"learnable":[140],"prompts":[141,207],"at":[142,209],"input":[144],"freeze":[146],"parameters":[148],"encoder.":[152],"This":[153],"approach":[154],"not":[155],"only":[156],"effectively":[157],"prevents":[158],"forgetting,":[160],"but":[161],"also":[162,172],"significantly":[163],"reduces":[164],"complexity":[167],"model.":[170],"We":[171],"text-vision":[175],"coupling":[177],"function":[178],"enhance":[180],"coordinated":[182],"consistency":[183],"between":[184],"representations,":[189],"ensuring":[190],"that":[191,222],"two":[193],"branches":[194],"can":[195],"train":[196],"collaboratively.":[197],"Finally,":[198],"gradually":[200],"establish":[201],"stage":[202],"feature":[203],"relationships":[204],"by":[205],"independently":[208],"different":[210],"early":[211],"stages":[212],"facilitate":[214],"contextual":[216],"learning.":[217],"Comprehensive":[218],"experimental":[219],"demonstrate":[221],"our":[223],"DRCPL":[224],"achieves":[226],"state-of-the-art":[227],"performance":[228],"tasks.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}