{"id":"https://openalex.org/W3127323395","doi":"https://doi.org/10.1109/tmm.2021.3054503","title":"IDHashGAN: Deep Hashing With Generative Adversarial Nets for Incomplete Data Retrieval","display_name":"IDHashGAN: Deep Hashing With Generative Adversarial Nets for Incomplete Data Retrieval","publication_year":2021,"publication_date":"2021-01-28","ids":{"openalex":"https://openalex.org/W3127323395","doi":"https://doi.org/10.1109/tmm.2021.3054503","mag":"3127323395"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3054503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3054503","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5078693770","display_name":"Liming Xu","orcid":"https://orcid.org/0000-0002-0671-8182"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liming Xu","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","[College of computer science and technology, Chongqing University of Posts and Telecommunications, 12419 Chongqing, China, 400065 (e-mail: xulimmail@gmail.com)]"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"[College of computer science and technology, Chongqing University of Posts and Telecommunications, 12419 Chongqing, China, 400065 (e-mail: xulimmail@gmail.com)]","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656785","display_name":"Xianhua Zeng","orcid":"https://orcid.org/0000-0001-5892-2372"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianhua Zeng","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","[College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China, 400065 (e-mail: zengxh@cqupt.edu.cn)]"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"[College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China, 400065 (e-mail: zengxh@cqupt.edu.cn)]","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058194445","display_name":"Weisheng Li","orcid":"https://orcid.org/0000-0002-9033-8245"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Li","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","[Computer science and technology, Chongqing University of Posts and Telecommunications, 12419 Chongqing, Chongqing, China, (e-mail: liws@cqupt.edu.cn)]"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"[Computer science and technology, Chongqing University of Posts and Telecommunications, 12419 Chongqing, Chongqing, China, (e-mail: liws@cqupt.edu.cn)]","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084139251","display_name":"Ling Bai","orcid":"https://orcid.org/0000-0002-2135-5404"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Bai","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","[College of computer science and technology, Chongqing University of Posts and Telecommunications, 12419 Chongqing, Chongqing, China, (e-mail: battylingb@gmail.com)]"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"[College of computer science and technology, Chongqing University of Posts and Telecommunications, 12419 Chongqing, Chongqing, China, (e-mail: battylingb@gmail.com)]","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078693770"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.9607,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76560458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"24","issue":null,"first_page":"534","last_page":"545"},"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":0.998199999332428,"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":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.8232234716415405},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7247572541236877},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6230799555778503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5859537720680237},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5811039209365845},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.49936628341674805},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.45790740847587585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43868210911750793},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4288814961910248},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41723138093948364},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3728157877922058},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.36447179317474365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3520486354827881},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.22837123274803162},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08644416928291321}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232234716415405},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7247572541236877},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6230799555778503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5859537720680237},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5811039209365845},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.49936628341674805},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.45790740847587585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43868210911750793},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4288814961910248},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41723138093948364},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3728157877922058},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.36447179317474365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3520486354827881},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.22837123274803162},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08644416928291321},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3054503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3054503","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3286485302","display_name":null,"funder_award_id":"62076044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3567994639","display_name":null,"funder_award_id":"BYJS201812","funder_id":"https://openalex.org/F4320322687","funder_display_name":"Chongqing University of Posts and Telecommunications"},{"id":"https://openalex.org/G4812818424","display_name":null,"funder_award_id":"61672120","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/F4320322687","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W89155778","https://openalex.org/W114517082","https://openalex.org/W1568959760","https://openalex.org/W1910300841","https://openalex.org/W1913628733","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1956333070","https://openalex.org/W1964858027","https://openalex.org/W1992371516","https://openalex.org/W1997994732","https://openalex.org/W2074668987","https://openalex.org/W2099471712","https://openalex.org/W2119263246","https://openalex.org/W2171790913","https://openalex.org/W2293824885","https://openalex.org/W2411707397","https://openalex.org/W2464915613","https://openalex.org/W2508837377","https://openalex.org/W2510911086","https://openalex.org/W2565993688","https://openalex.org/W2619206542","https://openalex.org/W2733548594","https://openalex.org/W2747853580","https://openalex.org/W2798834175","https://openalex.org/W2798956329","https://openalex.org/W2799245683","https://openalex.org/W2963113062","https://openalex.org/W2964280870","https://openalex.org/W2981210451","https://openalex.org/W3019181309","https://openalex.org/W3101023724","https://openalex.org/W6631190155","https://openalex.org/W6676931166","https://openalex.org/W6684181414","https://openalex.org/W6685352114","https://openalex.org/W6688152296","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4381744218","https://openalex.org/W2767764284","https://openalex.org/W1835589799","https://openalex.org/W2059244188","https://openalex.org/W2144265691","https://openalex.org/W4211126162","https://openalex.org/W2035647105","https://openalex.org/W3158263601","https://openalex.org/W3087964089","https://openalex.org/W3192025065"],"abstract_inverted_index":{"Benefiting":[0],"from":[1],"low":[2],"storage":[3],"costs":[4],"and":[5,38,62,97,117,142,149,157,162,165,173,190],"high":[6],"retrieval":[7,32,58,140],"efficiency,":[8],"hash":[9,28,39,98,175],"learning":[10,26,37,96],"has":[11],"been":[12],"a":[13,78],"widely":[14],"adopted":[15,169],"technology":[16],"for":[17],"approximating":[18],"nearest":[19],"neighbor":[20],"in":[21,91,129,159],"large-scale":[22],"data":[23,61,128],"retrieval.":[24],"Deep":[25],"to":[27,47,57,87,122,138,154,170,200],"greatly":[29],"improves":[30],"image":[31],"performance":[33],"by":[34],"integrating":[35],"feature":[36,93,95,125],"coding":[40,99],"into":[41,102],"an":[42,103],"end-to-end":[43,105],"framework.":[44,106],"However,":[45],"subject":[46],"application":[48],"scope,":[49],"most":[50],"existing":[51],"deep":[52,80],"hashing":[53,81,202],"methods":[54],"only":[55],"apply":[56],"of":[59,111,126,194],"complete":[60,188],"have":[63],"undesirable":[64],"results":[65],"when":[66],"retrieving":[67],"incomplete":[68,89,127,197],"but":[69],"valuable":[70],"data.":[71],"In":[72],"this":[73],"paper":[74],"we":[75],"propose":[76],"IDHashGAN,":[77],"novel":[79],"model":[82,109],"with":[83],"generative":[84,118,130],"adversarial":[85,148],"networks":[86],"retrieve":[88],"data,":[90],"which":[92],"restoration,":[94],"are":[100,120,152,168],"integrated":[101],"unified":[104],"The":[107],"proposed":[108,137],"consists":[110],"four":[112],"key":[113],"components:":[114],"(1)":[115],"reconstructive":[116],"loss":[119,151,167],"used":[121],"generate":[123],"continuous":[124],"network;":[131,161],"(2)":[132],"supervised":[133],"manifold":[134],"similarity":[135,158,172],"is":[136,185],"improve":[139],"accuracy":[141],"obtain":[143],"good":[144],"user":[145],"acceptance;":[146],"(3)":[147],"classified":[150],"designed":[153],"distinguish":[155],"authenticity":[156],"discriminative":[160],"(4)":[163],"encoding":[164],"quantization":[166],"preserve":[171],"control":[174],"quality.":[176],"Extensive":[177],"experiments":[178],"on":[179,187,196],"benchmark":[180],"datasets":[181,198],"show":[182],"that":[183],"IDHashGAN":[184],"competitive":[186],"dataset":[189],"yields":[191],"substantial":[192],"boosts":[193],"70%":[195],"compared":[199],"state-of-the-art":[201],"methods.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}