{"id":"https://openalex.org/W7125913465","doi":"https://doi.org/10.1109/smc58881.2025.11342882","title":"Multi-Granularity Semantic Association Learning for Cross-modal Hashing Retrieval","display_name":"Multi-Granularity Semantic Association Learning for Cross-modal Hashing Retrieval","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125913465","doi":"https://doi.org/10.1109/smc58881.2025.11342882"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11342882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5123481853","display_name":"Hao Du","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Du","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124092716","display_name":"Li Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124094247","display_name":"Huaxiang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxiang Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086184874","display_name":"Xu Lu","orcid":"https://orcid.org/0000-0002-8459-3186"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Lu","raw_affiliation_strings":["College of Information Science and Engineering, Shandong Agricultural University,Taian,China,271018"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Shandong Agricultural University,Taian,China,271018","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123523738","display_name":"Hengchang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengchang Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5123481853"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68530687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"641","last_page":"647"},"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":0.9509000182151794,"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":0.9509000182151794,"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":0.010900000110268593,"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":0.0066999997943639755,"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":0.7512000203132629},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5945000052452087},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.49959999322891235},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4909000098705292},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4666999876499176},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.4629000127315521},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4180999994277954},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.39649999141693115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651000022888184},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7512000203132629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5958999991416931},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5945000052452087},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.49959999322891235},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4909000098705292},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4666999876499176},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.4629000127315521},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4083999991416931},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.382099986076355},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3619999885559082},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35910001397132874},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.33399999141693115},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3124000132083893},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.26660001277923584},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.2599000036716461},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4672602713108063}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2007972815","https://openalex.org/W2155803963","https://openalex.org/W2266728343","https://openalex.org/W2949588459","https://openalex.org/W2955273087","https://openalex.org/W2963187862","https://openalex.org/W2966146145","https://openalex.org/W3033799362","https://openalex.org/W3197447668","https://openalex.org/W4282937884","https://openalex.org/W4283389356","https://openalex.org/W4285242239","https://openalex.org/W4304092731","https://openalex.org/W4312477797","https://openalex.org/W4321021417","https://openalex.org/W4384648175","https://openalex.org/W4385614537","https://openalex.org/W4388191759","https://openalex.org/W4390659080","https://openalex.org/W4392693705","https://openalex.org/W4394843754","https://openalex.org/W4395029038","https://openalex.org/W4396886507","https://openalex.org/W4410153232"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"cross-modal":[1,153],"hashing":[2,154],"retrieval":[3,157],"methods":[4],"exhibit":[5],"limitations":[6,130],"in":[7,69,134,156],"capturing":[8],"semantic":[9,55],"correlations":[10],"and":[11,24,31,61],"coexisting":[12],"information":[13,68],"across":[14,159],"modalities.":[15],"Most":[16],"approaches":[17,155],"primarily":[18],"rely":[19],"on":[20],"single-level":[21],"feature":[22],"representations":[23],"fail":[25],"to":[26,76,100],"fully":[27],"exploit":[28],"both":[29,59],"coarse-grained":[30,60,74],"fine-grained":[32,62,70],"semantics.":[33],"To":[34],"address":[35],"these":[36],"issues,":[37],"this":[38],"paper":[39],"proposes":[40],"a":[41],"novel":[42],"framework,":[43],"Multi-Granularity":[44],"Semantic":[45],"Association":[46,97],"Learning":[47,98],"for":[48],"Cross-modal":[49],"Hashing":[50],"Retrieval":[51],"(MSAH),":[52],"which":[53],"integrates":[54],"correlation":[56],"mining":[57],"at":[58],"levels.":[63],"The":[64],"framework":[65],"processes":[66],"redundant":[67],"features":[71,75],"while":[72],"leveraging":[73],"capture":[77,101],"global-level":[78],"sample":[79],"relationships,":[80],"subsequently":[81],"propagating":[82],"semantics":[83],"into":[84],"the":[85,107,118,123,129,146],"hash":[86,139],"function":[87,140],"via":[88],"knowledge":[89],"distillation.":[90],"In":[91],"addition,":[92],"we":[93],"designed":[94],"an":[95],"Indirect":[96],"strategy":[99],"potential":[102],"relationships":[103],"between":[104,120],"instances":[105],"through":[106],"descriptive":[108],"consistency":[109],"of":[110,122,131],"image-text":[111],"pairs.":[112],"This":[113],"approach":[114],"not":[115],"only":[116],"reduces":[117],"distance":[119],"samples":[121,137],"same":[124],"category":[125],"but":[126],"also":[127],"mitigates":[128],"contrastive":[132],"learning":[133],"handling":[135],"category-overlapping":[136],"during":[138],"training.":[141],"Experimental":[142],"results":[143],"demonstrate":[144],"that":[145],"proposed":[147],"method":[148],"significantly":[149],"outperforms":[150],"existing":[151],"deep":[152],"efficiency":[158],"multiple":[160],"datasets.":[161]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-29T00:00:00"}
