{"id":"https://openalex.org/W4212830455","doi":"https://doi.org/10.1109/tsmc.2021.3130939","title":"Two-Stage Supervised Discrete Hashing for Cross-Modal Retrieval","display_name":"Two-Stage Supervised Discrete Hashing for Cross-Modal Retrieval","publication_year":2022,"publication_date":"2022-02-17","ids":{"openalex":"https://openalex.org/W4212830455","doi":"https://doi.org/10.1109/tsmc.2021.3130939"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2021.3130939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2021.3130939","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Systems, Man, and Cybernetics: Systems","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"],"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"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":"Xiao-Jun Wu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0310-5778","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049469328","display_name":"Tianyang Xu","orcid":"https://orcid.org/0000-0002-9015-3128"},"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"]},{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Tianyang Xu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9015-3128","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028209738","display_name":"Josef Kittler","orcid":"https://orcid.org/0000-0002-8110-9205"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Josef Kittler","raw_affiliation_strings":["Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8110-9205","affiliations":[{"raw_affiliation_string":"Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5417,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90729333,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"52","issue":"11","first_page":"7014","last_page":"7026"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9937000274658203,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9878000020980835,"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/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.8326826095581055},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7571741342544556},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.7437531352043152},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.7302228212356567},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.687735915184021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6790614724159241},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6600584983825684},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6234334707260132},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5899175405502319},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5148786306381226},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5144734382629395},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4769505560398102},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.46432632207870483},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.43707460165023804},{"id":"https://openalex.org/keywords/discrete-optimization","display_name":"Discrete optimization","score":0.4309432804584503},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.43069326877593994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39502590894699097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39294999837875366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35816383361816406},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.308413565158844},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.231148362159729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19655075669288635},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.11549314856529236},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08654871582984924}],"concepts":[{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.8326826095581055},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7571741342544556},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.7437531352043152},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.7302228212356567},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.687735915184021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790614724159241},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6600584983825684},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6234334707260132},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5899175405502319},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5148786306381226},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5144734382629395},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4769505560398102},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.46432632207870483},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.43707460165023804},{"id":"https://openalex.org/C145671259","wikidata":"https://www.wikidata.org/wiki/Q1493786","display_name":"Discrete optimization","level":3,"score":0.4309432804584503},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43069326877593994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39502590894699097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39294999837875366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35816383361816406},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.308413565158844},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.231148362159729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19655075669288635},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.11549314856529236},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08654871582984924},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2021.3130939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2021.3130939","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G344950217","display_name":null,"funder_award_id":"U1836218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4770326006","display_name":null,"funder_award_id":"EP/N007743/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5081062661","display_name":null,"funder_award_id":"62020106012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6905154729","display_name":"\u7a00\u758f\u4f4e\u79e9\u8868\u793a\u4f18\u5316\u7406\u8bba\u4e0e\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61672265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7111890331","display_name":null,"funder_award_id":"EP/V002856/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G764753648","display_name":null,"funder_award_id":"EP/R018456/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1910300841","https://openalex.org/W1976258951","https://openalex.org/W2007972815","https://openalex.org/W2083593596","https://openalex.org/W2086958058","https://openalex.org/W2097415784","https://openalex.org/W2106277773","https://openalex.org/W2110764733","https://openalex.org/W2155803963","https://openalex.org/W2187089797","https://openalex.org/W2199369932","https://openalex.org/W2203543769","https://openalex.org/W2266728343","https://openalex.org/W2267050401","https://openalex.org/W2345649690","https://openalex.org/W2526152041","https://openalex.org/W2526208398","https://openalex.org/W2591669147","https://openalex.org/W2599236591","https://openalex.org/W2604880013","https://openalex.org/W2605649771","https://openalex.org/W2740755807","https://openalex.org/W2748725735","https://openalex.org/W2765440071","https://openalex.org/W2781821509","https://openalex.org/W2791731057","https://openalex.org/W2799150641","https://openalex.org/W2802773536","https://openalex.org/W2802864907","https://openalex.org/W2809034148","https://openalex.org/W2890043419","https://openalex.org/W2895249671","https://openalex.org/W2907166662","https://openalex.org/W2914320072","https://openalex.org/W2942919589","https://openalex.org/W2945578092","https://openalex.org/W2949588459","https://openalex.org/W2963173190","https://openalex.org/W2963187862","https://openalex.org/W2963288100","https://openalex.org/W2967957126","https://openalex.org/W2971949219","https://openalex.org/W2979087743","https://openalex.org/W2996002873","https://openalex.org/W2997770686","https://openalex.org/W3003735286","https://openalex.org/W3005971801","https://openalex.org/W3033799362","https://openalex.org/W3034890701","https://openalex.org/W3094286186","https://openalex.org/W3095469680","https://openalex.org/W3100847621","https://openalex.org/W3111801553","https://openalex.org/W3127796792","https://openalex.org/W3185834143","https://openalex.org/W3186995366","https://openalex.org/W3198985204","https://openalex.org/W6682859755","https://openalex.org/W6693399182","https://openalex.org/W6697214482","https://openalex.org/W6784564947","https://openalex.org/W6786881499"],"related_works":["https://openalex.org/W2023326318","https://openalex.org/W1554555624","https://openalex.org/W2783286101","https://openalex.org/W2029205712","https://openalex.org/W2752667240","https://openalex.org/W2078599908","https://openalex.org/W4212830455","https://openalex.org/W2981777726","https://openalex.org/W2576295743","https://openalex.org/W2519631826"],"abstract_inverted_index":{"Recently,":[0],"hashing-based":[1],"multimodal":[2,45],"learning":[3,161],"systems":[4],"have":[5],"received":[6],"increasing":[7,65],"attention":[8],"due":[9],"to":[10,35,52,107,112,145],"their":[11],"query":[12],"efficiency":[13],"and":[14,61],"parsimonious":[15],"storage":[16],"costs.":[17],"However,":[18],"impeded":[19],"by":[20,25,168],"the":[21,28,38,43,53,58,66,81,91,114,122,126,130,134,147,153,164,169,172,184,187],"quantization":[22,155],"loss":[23],"caused":[24],"numerical":[26],"optimization,":[27],"existing":[29],"cross-media":[30,194],"hashing":[31,85],"approaches":[32],"are":[33,104],"unable":[34],"capture":[36],"all":[37],"discriminative":[39],"information":[40,166],"present":[41],"in":[42,90],"original":[44],"data.":[46],"Besides,":[47],"most":[48],"cross-modal":[49],"methods":[50],"belong":[51],"one-step":[54],"paradigm,":[55],"which":[56],"learn":[57,146],"binary":[59,115,136,148],"codes":[60,124,149],"hash":[62,123,140,159,173],"function":[63,160],"simultaneously,":[64],"complexity":[67],"of":[68,133,186],"optimization.":[69],"To":[70],"address":[71],"these":[72],"issues,":[73],"we":[74],"propose":[75],"a":[76,96,108],"novel":[77],"two-stage":[78,82],"approach,":[79],"named":[80],"supervised":[83],"discrete":[84,139],"(TSDH)":[86],"method.":[87],"In":[88,117],"particular,":[89],"first":[92],"phase,":[93],"TSDH":[94,119],"generates":[95],"latent":[97],"representation":[98],"for":[99],"each":[100],"modality.":[101],"These":[102],"representations":[103],"then":[105],"mapped":[106],"common":[109],"Hamming":[110],"space":[111],"generate":[113],"codes.":[116,137],"addition,":[118],"directly":[120],"endows":[121],"with":[125,175],"semantic":[127,165],"labels,":[128],"enhancing":[129],"discriminatory":[131],"power":[132],"learned":[135],"A":[138],"optimization":[141],"approach":[142],"is":[143],"developed":[144,188],"without":[150],"relaxation,":[151],"avoiding":[152],"large":[154],"loss.":[156],"The":[157],"proposed":[158],"scheme":[162],"reuses":[163],"contained":[167],"embeddings,":[170],"endowing":[171],"functions":[174],"enhanced":[176],"discriminability.":[177],"Extensive":[178],"experiments":[179],"on":[180],"several":[181,191],"databases":[182],"demonstrate":[183],"effectiveness":[185],"TSDH,":[189],"outperforming":[190],"recent":[192],"competitive":[193],"algorithms.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-07T14:30:12.667765","created_date":"2025-10-10T00:00:00"}