{"id":"https://openalex.org/W7124206209","doi":"https://doi.org/10.1109/icpads67057.2025.11323186","title":"F <sup>3</sup> KDH: Fine-Grained Feature Fusion Knowledge Distillation Hashing for Cross-Modal Retrieval","display_name":"F <sup>3</sup> KDH: Fine-Grained Feature Fusion Knowledge Distillation Hashing for Cross-Modal Retrieval","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124206209","doi":"https://doi.org/10.1109/icpads67057.2025.11323186"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11323186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","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/A5123027942","display_name":"Liangliang Su","orcid":null},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang Su","raw_affiliation_strings":["Anhui Jianzhu University,Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei,China,230022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Jianzhu University,Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei,China,230022","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123013245","display_name":"Yubin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Liu","raw_affiliation_strings":["Anhui Jianzhu University,Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei,China,230022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Jianzhu University,Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei,China,230022","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111515355","display_name":"Li Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Gao","raw_affiliation_strings":["School of Elecronic and Information Engineering, Anhui Jianzhu University,Hefei,China,230601"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Elecronic and Information Engineering, Anhui Jianzhu University,Hefei,China,230601","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040045629","display_name":"Xiao Wei","orcid":"https://orcid.org/0000-0002-7872-1719"},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wei","raw_affiliation_strings":["Anhui Jianzhu University,Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei,China,230022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Jianzhu University,Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei,China,230022","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113936224","display_name":"Yalong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalong Yang","raw_affiliation_strings":["Anhui Jianzhu University,Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei,China,230022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Jianzhu University,Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving,Hefei,China,230022","institution_ids":["https://openalex.org/I118987531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.60851623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9710999727249146,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9710999727249146,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.005900000222027302,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0017000000225380063,"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/hash-function","display_name":"Hash function","score":0.6801999807357788},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6208000183105469},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6208000183105469},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48840001225471497},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48080000281333923},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.3411000072956085},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.3384999930858612},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.33469998836517334},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.32760000228881836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069000244140625},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6801999807357788},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6208000183105469},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6208000183105469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.585099995136261},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48840001225471497},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4081000089645386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4041000008583069},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3596000075340271},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.3228999972343445},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.28540000319480896},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2851000130176544},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11323186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7737812399864197,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2375217329","display_name":null,"funder_award_id":"62001004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6933924478","display_name":null,"funder_award_id":"2024YFC3808100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/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":28,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1976258951","https://openalex.org/W2049993534","https://openalex.org/W2086958058","https://openalex.org/W2266728343","https://openalex.org/W2345649690","https://openalex.org/W2802864907","https://openalex.org/W2982905682","https://openalex.org/W3033799362","https://openalex.org/W3034890701","https://openalex.org/W3035747010","https://openalex.org/W3098766884","https://openalex.org/W3122091215","https://openalex.org/W3155787390","https://openalex.org/W3200012480","https://openalex.org/W3217671320","https://openalex.org/W4285242239","https://openalex.org/W4312477797","https://openalex.org/W4324291273","https://openalex.org/W4379806236","https://openalex.org/W4383503840","https://openalex.org/W4385986534","https://openalex.org/W4386640220","https://openalex.org/W4389319187","https://openalex.org/W4390659080","https://openalex.org/W4390968202","https://openalex.org/W4404795703","https://openalex.org/W4410296777"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3],"cross-modal":[4,33,62,97,110,155],"hashing":[5,63,156],"retrieval":[6,166],"methods":[7],"have":[8],"attracted":[9],"extensive":[10],"attention":[11],"due":[12],"to":[13,17,36,99,114,124,132,153],"their":[14],"strong":[15],"ability":[16],"learn":[18,133],"efficient":[19],"binary":[20],"encodings.":[21],"However,":[22],"they":[23],"still":[24],"face":[25],"two":[26],"main":[27],"challenges:":[28],"1)":[29],"insufficient":[30],"fusion":[31],"of":[32,40,103],"information,":[34,90],"leading":[35],"low":[37],"semantic":[38,94,118],"quality":[39],"the":[41,80,84,101,116,122],"generated":[42],"hash":[43,137],"codes.":[44],"2)":[45],"limited":[46],"scalability":[47],"for":[48],"deployment":[49],"in":[50,96],"lightweight":[51,127],"frameworks.":[52],"To":[53],"address":[54],"these":[55],"issues,":[56],"this":[57],"paper":[58],"proposes":[59],"a":[60,109,125],"novel":[61],"method":[64],"based":[65],"on":[66,146],"knowledge":[67,111,119],"distillation,":[68],"termed":[69],"Fine-Grained":[70],"Feature":[71],"Fusion":[72],"Knowledge":[73],"Distillation":[74],"Hashing":[75],"(F<sup":[76],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>KDH).":[78],"Specifically,":[79],"teacher":[81,123],"model":[82,162],"incorporates":[83],"AFM":[85],"that":[86],"thoroughly":[87],"fuses":[88],"heterogeneous":[89],"effectively":[91],"capturing":[92],"salient":[93],"cues":[95],"data":[98],"enhance":[100],"weighting":[102],"important":[104],"regions.":[105],"Moreover,":[106],"we":[107],"employ":[108],"distillation":[112],"strategy":[113],"transfer":[115],"rich":[117],"captured":[120],"by":[121],"deliberately":[126],"student":[128],"model,":[129],"enabling":[130],"it":[131],"compact":[134],"yet":[135],"expressive":[136],"representations":[138],"while":[139],"greatly":[140],"reducing":[141],"computational":[142],"complexity.":[143],"Experimental":[144],"results":[145],"multiple":[147],"benchmark":[148],"datasets":[149],"demonstrate":[150],"that,":[151],"compared":[152],"existing":[154],"methods,":[157],"our":[158],"approach":[159],"achieves":[160],"significant":[161],"compression":[163],"without":[164],"sacrificing":[165],"accuracy.":[167]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-15T00:00:00"}
