{"id":"https://openalex.org/W4285288078","doi":"https://doi.org/10.1109/tcsvt.2022.3172716","title":"Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval","display_name":"Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4285288078","doi":"https://doi.org/10.1109/tcsvt.2022.3172716"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3172716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3172716","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/A5102763872","display_name":"Yufeng Shi","orcid":"https://orcid.org/0000-0002-9217-4352"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yufeng Shi","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037049534","display_name":"Yue Zhao","orcid":"https://orcid.org/0000-0003-0342-2797"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhao","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352180","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-0011-6260"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Department of Computer Science, Huaqiao University, Xiamen, China","Zhejiang Laboratory, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Zhejiang Laboratory, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063285882","display_name":"Feng Zheng","orcid":"https://orcid.org/0000-0002-1701-9141"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028245257","display_name":"Weihua Ou","orcid":"https://orcid.org/0000-0001-5241-7703"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Ou","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057095711","display_name":"Xinge You","orcid":"https://orcid.org/0009-0006-1450-9504"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinge You","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069855669","display_name":"Qinmu Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinmu Peng","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102763872"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":8.8638,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.98648896,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"32","issue":"10","first_page":"7255","last_page":"7268"},"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":0.9968000054359436,"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":0.9939000010490417,"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":0.8497117161750793},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.6546558737754822},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.6221679449081421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6097334027290344},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5919358730316162},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5721786618232727},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.546248197555542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5386403203010559},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.5376914739608765},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.4886803925037384},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48861438035964966},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.4678528904914856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4383275508880615},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.436404824256897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4065573215484619},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3295847177505493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22475740313529968},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.20446118712425232},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10784241557121277}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8497117161750793},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.6546558737754822},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.6221679449081421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6097334027290344},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5919358730316162},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5721786618232727},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.546248197555542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5386403203010559},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.5376914739608765},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.4886803925037384},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48861438035964966},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.4678528904914856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4383275508880615},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.436404824256897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4065573215484619},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3295847177505493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22475740313529968},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.20446118712425232},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10784241557121277},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3172716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3172716","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":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1267725476","display_name":null,"funder_award_id":"62101179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3558854578","display_name":null,"funder_award_id":"2021CFB332","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G4782993588","display_name":null,"funder_award_id":"202011903000002","funder_id":"https://openalex.org/F4320329781","funder_display_name":"Hubei University"},{"id":"https://openalex.org/G5519293298","display_name":null,"funder_award_id":"61762021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6072911560","display_name":null,"funder_award_id":"62172177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320329781","display_name":"Hubei University","ror":"https://ror.org/03a60m280"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1670132599","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1922199343","https://openalex.org/W2007972815","https://openalex.org/W2049993534","https://openalex.org/W2086958058","https://openalex.org/W2108598243","https://openalex.org/W2155803963","https://openalex.org/W2194775991","https://openalex.org/W2266728343","https://openalex.org/W2512032049","https://openalex.org/W2604880013","https://openalex.org/W2606965845","https://openalex.org/W2619383789","https://openalex.org/W2733636222","https://openalex.org/W2748725735","https://openalex.org/W2766724094","https://openalex.org/W2767290858","https://openalex.org/W2795832645","https://openalex.org/W2802864907","https://openalex.org/W2808243243","https://openalex.org/W2808282156","https://openalex.org/W2896826707","https://openalex.org/W2905040928","https://openalex.org/W2929753309","https://openalex.org/W2945578092","https://openalex.org/W2951808862","https://openalex.org/W2953037339","https://openalex.org/W2963187862","https://openalex.org/W2963288100","https://openalex.org/W2965009046","https://openalex.org/W2966030703","https://openalex.org/W2981951787","https://openalex.org/W2982905682","https://openalex.org/W2999606372","https://openalex.org/W3003735286","https://openalex.org/W3006962461","https://openalex.org/W3008072721","https://openalex.org/W3015735225","https://openalex.org/W3017133364","https://openalex.org/W3022592147","https://openalex.org/W3030772386","https://openalex.org/W3033587904","https://openalex.org/W3034890701","https://openalex.org/W3035747010","https://openalex.org/W3094502228","https://openalex.org/W3111409838","https://openalex.org/W3135808071","https://openalex.org/W3138516171","https://openalex.org/W3166798381","https://openalex.org/W3171119100","https://openalex.org/W3175740157","https://openalex.org/W3197447668","https://openalex.org/W3207778762","https://openalex.org/W4221145450","https://openalex.org/W6636883489","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6688759320","https://openalex.org/W6761274798","https://openalex.org/W6784333009","https://openalex.org/W6810258035"],"related_works":["https://openalex.org/W2100189723","https://openalex.org/W1998749283","https://openalex.org/W1554555624","https://openalex.org/W2184777945","https://openalex.org/W2921167217","https://openalex.org/W2981938443","https://openalex.org/W2000284985","https://openalex.org/W1997107867","https://openalex.org/W4212830455","https://openalex.org/W2029205712"],"abstract_inverted_index":{"Cross-modal":[0],"hashing":[1,32,122],"that":[2,84],"leverages":[3],"hash":[4,49,91,98,106,126,185],"functions":[5,92,127],"to":[6,70,124,142,181,193],"project":[7],"high-dimensional":[8],"data":[9,67],"from":[10,42,159],"different":[11,90],"modalities":[12],"into":[13],"the":[14,46,71,74,82,85,97,105,109,144,163,183,203,206,210],"compact":[15],"common":[16],"hamming":[17],"space,":[18],"has":[19],"shown":[20],"immeasurable":[21],"potential":[22],"in":[23,45],"cross-modal":[24,31,121],"retrieval.":[25],"To":[26,112],"ease":[27],"labor":[28],"costs,":[29],"unsupervised":[30,38,120],"methods":[33,39],"are":[34,93],"proposed.":[35],"However,":[36],"existing":[37],"still":[40],"suffer":[41],"two":[43],"factors":[44],"optimization":[47,78,134,172],"of":[48,60,73,89,100,108,205],"functions:":[50],"1)":[51],"similarity":[52,86,130,145,164],"guidance,":[53],"they":[54,80],"barely":[55],"give":[56],"a":[57],"clear":[58],"definition":[59],"whether":[61],"is":[62,154,174],"similar":[63],"or":[64],"not":[65],"between":[66],"points,":[68],"leading":[69],"residual":[72],"redundant":[75],"information;":[76],"2)":[77],"strategy,":[79,135],"ignore":[81],"fact":[83],"learning":[87],"abilities":[88],"different,":[94],"which":[95,177],"makes":[96],"function":[99,107,186],"one":[101],"modality":[102],"weaker":[103,184],"than":[104],"other":[110],"modality.":[111],"alleviate":[113],"such":[114],"limitations,":[115],"this":[116],"paper":[117],"proposes":[118],"an":[119,189],"method":[123],"train":[125],"with":[128,147],"discriminative":[129],"guidance":[131],"and":[132,162,187],"adaptively-enhanced":[133],"termed":[136],"Deep":[137],"Adaptively-Enhanced":[138],"Hashing":[139],"(DAEH).":[140],"Specifically,":[141],"estimate":[143],"relations":[146],"discriminability,":[148],"Information":[149],"Mixed":[150],"Similarity":[151],"Estimation":[152],"(IMSE)":[153],"designed":[155],"by":[156],"integrating":[157],"information":[158,179],"distance":[160],"distributions":[161],"ratio.":[165],"Moreover,":[166],"Adaptive":[167],"Teacher":[168],"Guided":[169],"Enhancement":[170],"(ATGE)":[171],"strategy":[173],"also":[175],"designed,":[176],"employs":[178],"theory":[180],"discover":[182],"utilizes":[188],"extra":[190],"teacher":[191],"network":[192],"enhance":[194],"it.":[195],"Extensive":[196],"experiments":[197],"on":[198],"three":[199],"benchmark":[200],"datasets":[201],"demonstrate":[202],"superiority":[204],"proposed":[207],"DAEH":[208],"against":[209],"state-of-the-arts.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}