{"id":"https://openalex.org/W4387129530","doi":"https://doi.org/10.1109/tcsvt.2023.3320444","title":"Unsupervised Deep Hashing With Fine-Grained Similarity-Preserving Contrastive Learning for Image Retrieval","display_name":"Unsupervised Deep Hashing With Fine-Grained Similarity-Preserving Contrastive Learning for Image Retrieval","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387129530","doi":"https://doi.org/10.1109/tcsvt.2023.3320444"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3320444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3320444","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5101978149","display_name":"Hu Cao","orcid":"https://orcid.org/0009-0004-3160-703X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Cao","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0004-3160-703X","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784430","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-4087-3677"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4087-3677","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058652390","display_name":"Jie Nie","orcid":"https://orcid.org/0000-0003-4952-7666"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Nie","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4952-7666","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079932099","display_name":"Zhiqiang Wei","orcid":"https://orcid.org/0000-0002-2830-8301"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Wei","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-2830-8301","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":2.5233,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90975513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"34","issue":"5","first_page":"4095","last_page":"4108"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9950000047683716,"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":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7390586137771606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7119934558868408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7006140351295471},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6596895456314087},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6452082991600037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6067087650299072},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5307260751724243},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5162675380706787},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.49954986572265625},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4546911120414734},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4510648548603058},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.4343036115169525},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4327775239944458},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.28217843174934387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19632402062416077},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.12811940908432007}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7390586137771606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119934558868408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7006140351295471},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6596895456314087},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6452082991600037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6067087650299072},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5307260751724243},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5162675380706787},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.49954986572265625},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4546911120414734},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4510648548603058},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.4343036115169525},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4327775239944458},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.28217843174934387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19632402062416077},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.12811940908432007},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3320444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3320444","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G2061520909","display_name":null,"funder_award_id":"2019YFC1408405","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5136345529","display_name":"\u57fa\u4e8e\u6c34\u4e0b\u89c6\u89c9\u7684\u6d77\u6d0b\u9c7c\u7c7b\u7ec6\u7c92\u5ea6\u8bc6\u522b\u548c\u9c81\u68d2\u8ddf\u8e2a\u7814\u7a76","funder_award_id":"61872326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G971057150","display_name":null,"funder_award_id":"ZR 2023MF033","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"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":63,"referenced_works":["https://openalex.org/W1583776211","https://openalex.org/W1861492603","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W2007972815","https://openalex.org/W2108598243","https://openalex.org/W2155803963","https://openalex.org/W2296447001","https://openalex.org/W2747853580","https://openalex.org/W2801086478","https://openalex.org/W2802862847","https://openalex.org/W2808282156","https://openalex.org/W2916781626","https://openalex.org/W2963901018","https://openalex.org/W2964158883","https://openalex.org/W3008547073","https://openalex.org/W3009806461","https://openalex.org/W3034205626","https://openalex.org/W3035183475","https://openalex.org/W3035524453","https://openalex.org/W3035732386","https://openalex.org/W3093981303","https://openalex.org/W3104374384","https://openalex.org/W3114063012","https://openalex.org/W3118608800","https://openalex.org/W3156173975","https://openalex.org/W3159460504","https://openalex.org/W3173956867","https://openalex.org/W3187985423","https://openalex.org/W3188087362","https://openalex.org/W3198680251","https://openalex.org/W3201037053","https://openalex.org/W3203778378","https://openalex.org/W3205692356","https://openalex.org/W3207216021","https://openalex.org/W3214993537","https://openalex.org/W3216335463","https://openalex.org/W4205605731","https://openalex.org/W4206368665","https://openalex.org/W4224241592","https://openalex.org/W4225654135","https://openalex.org/W4280635142","https://openalex.org/W4280636783","https://openalex.org/W4282937884","https://openalex.org/W4285191290","https://openalex.org/W4285288078","https://openalex.org/W4285602676","https://openalex.org/W4304083183","https://openalex.org/W4312312750","https://openalex.org/W4312901583","https://openalex.org/W4313153605","https://openalex.org/W4323644273","https://openalex.org/W4375797189","https://openalex.org/W4386076017","https://openalex.org/W4386083088","https://openalex.org/W6634851332","https://openalex.org/W6681077227","https://openalex.org/W6691474080","https://openalex.org/W6731910362","https://openalex.org/W6752096081","https://openalex.org/W6754813029","https://openalex.org/W6787713516","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3094967175","https://openalex.org/W2045263322","https://openalex.org/W2393322642","https://openalex.org/W2145863369","https://openalex.org/W50423144","https://openalex.org/W2166822184","https://openalex.org/W2142040641","https://openalex.org/W2100189723","https://openalex.org/W1982193706","https://openalex.org/W2101618614"],"abstract_inverted_index":{"Unsupervised":[0],"deep":[1,54],"hashing":[2,55,191],"has":[3,30],"demonstrated":[4],"significant":[5],"advancements":[6],"with":[7,111,126],"the":[8,83,91,127,135,147,158,165],"development":[9],"of":[10,15,137,160],"contrastive":[11,43,170],"learning.":[12,44,171],"However,":[13],"most":[14],"previous":[16],"methods":[17],"have":[18],"been":[19],"hindered":[20],"by":[21,105,163],"insufficient":[22],"similarity":[23,40,68,86,94,103,113,132,140],"mining":[24],"using":[25],"global-only":[26],"image":[27],"representations.":[28],"This":[29],"led":[31],"to":[32,122,129,188],"interference":[33],"from":[34],"background":[35],"or":[36],"non-interest":[37],"objects":[38],"during":[39,169],"reconstruction":[41],"and":[42,72,90],"To":[45],"address":[46],"this":[47],"limitation,":[48],"we":[49,99,156],"propose":[50],"a":[51],"novel":[52],"unsupervised":[53,190],"framework":[56],"named":[57],"Fine-grained":[58],"Similarity-preserving":[59],"Contrastive":[60],"learning":[61],"Hashing":[62],"(FSCH),":[63],"which":[64],"explores":[65],"fine-grained":[66,85,93,107,139],"semantic":[67],"among":[69,141],"different":[70],"images":[71],"their":[73],"augmented":[74,142],"views":[75,143],"more":[76],"comprehensively.":[77],"It":[78],"mainly":[79],"comprises":[80],"two":[81],"modules:":[82],"global-local":[84,131],"consistency":[87],"preservation":[88,96,136],"module":[89],"local":[92,101,138],"contrast":[95],"module.":[97],"Specifically,":[98],"reconstruct":[100],"pairwise":[102],"structures":[104,114],"matching":[106],"patches,":[108,154],"in":[109],"conjunction":[110],"global":[112,117],"based":[115],"on":[116,174],"hash":[118,124,161],"codes":[119,125,162],"cosine":[120],"similarity,":[121],"generate":[123],"ability":[128],"preserve":[130],"consistency.":[133],"Moreover,":[134],"is":[144],"accomplished":[145],"through":[146],"common":[148],"regional":[149],"features":[150,167],"mutual":[151],"representation":[152],"between":[153],"then":[155],"enhance":[157],"discriminability":[159],"mitigating":[164],"potential":[166],"difference":[168],"Experimental":[172],"results":[173],"four":[175],"benchmark":[176],"datasets":[177],"demonstrate":[178],"that":[179],"our":[180],"FSCH":[181],"achieves":[182],"an":[183],"excellent":[184],"retrieval":[185],"performance":[186],"compared":[187],"state-of-the-art":[189],"methods.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}