{"id":"https://openalex.org/W4410515637","doi":"https://doi.org/10.1145/3736414","title":"Discrete Elective Hashing with Incomplete Labels for Efficient Cross-Modal Retrieval","display_name":"Discrete Elective Hashing with Incomplete Labels for Efficient Cross-Modal Retrieval","publication_year":2025,"publication_date":"2025-05-20","ids":{"openalex":"https://openalex.org/W4410515637","doi":"https://doi.org/10.1145/3736414"},"language":"en","primary_location":{"id":"doi:10.1145/3736414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3736414","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5101658131","display_name":"Donglin Zhang","orcid":"https://orcid.org/0000-0002-0716-0918"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","School of Artificial Intelligence and Computer Science, Jiangnan University, China"],"raw_orcid":"https://orcid.org/0000-0002-0716-0918","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034555368","display_name":"Caozhe Li","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Xing Li","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","School of Artificial Intelligence and Computer Science, Jiangnan University, China"],"raw_orcid":"https://orcid.org/0009-0004-1942-6308","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730941","display_name":"Mengke Li","orcid":"https://orcid.org/0000-0002-9433-9683"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengke Li","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","College of Computer Science and Software Engineering, Shenzhen University, China"],"raw_orcid":"https://orcid.org/0000-0002-9433-9683","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061132699","display_name":"Zhikai Hu","orcid":"https://orcid.org/0000-0001-7278-9977"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhikai Hu","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-7278-9977","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":0.07766885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"6","first_page":"1","last_page":"20"},"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":1.0,"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":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9954000115394592,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8922411799430847},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6757098436355591},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6222665309906006},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.4769662618637085},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3890284597873688},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33360010385513306},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3283352851867676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32062828540802},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20441821217536926},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.17458319664001465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8922411799430847},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6757098436355591},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6222665309906006},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.4769662618637085},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3890284597873688},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33360010385513306},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3283352851867676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32062828540802},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20441821217536926},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.17458319664001465},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3736414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3736414","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4692016002","display_name":null,"funder_award_id":"62202204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G75458426","display_name":null,"funder_award_id":"JUSRP123032","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1922199343","https://openalex.org/W1976258951","https://openalex.org/W2007972815","https://openalex.org/W2019899889","https://openalex.org/W2025335430","https://openalex.org/W2038276547","https://openalex.org/W2049993534","https://openalex.org/W2138118304","https://openalex.org/W2155803963","https://openalex.org/W2266728343","https://openalex.org/W2345649690","https://openalex.org/W2476624367","https://openalex.org/W2591669147","https://openalex.org/W2725249286","https://openalex.org/W2740755807","https://openalex.org/W2765440071","https://openalex.org/W2802864907","https://openalex.org/W2808464100","https://openalex.org/W2907166662","https://openalex.org/W2913932916","https://openalex.org/W2945578092","https://openalex.org/W2949588459","https://openalex.org/W2951808862","https://openalex.org/W2954672622","https://openalex.org/W2963187862","https://openalex.org/W2964253285","https://openalex.org/W2965509144","https://openalex.org/W2965682709","https://openalex.org/W2982905682","https://openalex.org/W3003735286","https://openalex.org/W3033587904","https://openalex.org/W3034890701","https://openalex.org/W3035747010","https://openalex.org/W3042596116","https://openalex.org/W3122091215","https://openalex.org/W3128372581","https://openalex.org/W3136345137","https://openalex.org/W3155787390","https://openalex.org/W3168433561","https://openalex.org/W3185834143","https://openalex.org/W3186995366","https://openalex.org/W3192393047","https://openalex.org/W3198985204","https://openalex.org/W3207778762","https://openalex.org/W3211076469","https://openalex.org/W4210593721","https://openalex.org/W4224301727","https://openalex.org/W4226144405","https://openalex.org/W4282937884","https://openalex.org/W4283798296","https://openalex.org/W4288055283","https://openalex.org/W4289537403","https://openalex.org/W4292828483","https://openalex.org/W4304092731","https://openalex.org/W4312382184","https://openalex.org/W4312999114","https://openalex.org/W4321609154","https://openalex.org/W4375801803","https://openalex.org/W4384648175","https://openalex.org/W4386065299","https://openalex.org/W4388191759","https://openalex.org/W4395029038","https://openalex.org/W6810480577","https://openalex.org/W6839503575"],"related_works":["https://openalex.org/W2136399778","https://openalex.org/W2811247857","https://openalex.org/W102859714","https://openalex.org/W4298343607","https://openalex.org/W2334522381","https://openalex.org/W2040748620","https://openalex.org/W2951881567","https://openalex.org/W1551533237","https://openalex.org/W4251536634","https://openalex.org/W4385261619"],"abstract_inverted_index":{"Recently,":[0],"supervised":[1],"cross-modal":[2],"hashing":[3],"methods":[4,22,66],"have":[5],"gained":[6],"considerable":[7],"attention":[8],"due":[9],"to":[10,13,27,86,104,134],"their":[11],"ability":[12],"mine":[14,106,135],"credible":[15],"semantic":[16,29],"relationships":[17,30,171],"between":[18],"multi-modal":[19],"data.":[20],"These":[21],"typically":[23],"rely":[24,143],"on":[25,144,177],"labels":[26,33,49,133],"explore":[28,166],"provided":[31],"that":[32,100,127],"are":[34],"always":[35],"reliable,":[36],"which,":[37],"however,":[38],"may":[39,50],"not":[40,142],"be":[41,51],"true":[42],"from":[43,110,131,155],"the":[44,61,64,88,102,181,184],"practical":[45],"perspective.":[46],"In":[47],"fact,":[48],"incomplete,":[52,58],"i.e.,":[53],"true-label":[54],"incomplete":[55,91,111,132,156,173],"and":[56,169],"fine-grained":[57],"which":[59,83,113],"makes":[60],"performance":[62],"of":[63,90,183],"existing":[65],"deteriorated.":[67],"To":[68],"this":[69],"end,":[70],"we":[71,94,121],"propose":[72,122],"a":[73,96,123],"method":[74],"called":[75],"Discrete":[76],"Elective":[77],"Hashing":[78],"with":[79],"Incomplete":[80],"Labels":[81],"(DEH-IL),":[82],"is":[84,114],"designed":[85],"alleviate":[87],"impact":[89],"labels.":[92,157,174],"Specifically,":[93],"introduce":[95],"relaxed":[97],"label":[98],"scheme":[99],"allows":[101],"algorithm":[103],"automatically":[105],"potential":[107],"missing":[108],"information":[109],"labels,":[112],"beneficial":[115],"for":[116],"exploring":[117],"intra-class":[118,168],"relationships.":[119,137],"Moreover,":[120],"novel":[124],"elective":[125,139],"loss":[126,140],"aggregates":[128],"all":[129],"estimations":[130],"inter-class":[136,170],"Since":[138],"does":[141],"any":[145],"single":[146],"estimation,":[147],"it":[148],"can":[149,164],"effectively":[150,165],"mitigate":[151],"estimation":[152],"errors":[153],"arising":[154],"By":[158],"combining":[159],"these":[160],"two":[161],"components,":[162],"DEH-IL":[163],"both":[167],"through":[172],"Experimental":[175],"results":[176],"benchmark":[178],"datasets":[179],"demonstrate":[180],"effectiveness":[182],"proposed":[185],"method.":[186]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
