{"id":"https://openalex.org/W2981210451","doi":"https://doi.org/10.1109/tmm.2019.2947197","title":"WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks","display_name":"WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks","publication_year":2019,"publication_date":"2019-10-14","ids":{"openalex":"https://openalex.org/W2981210451","doi":"https://doi.org/10.1109/tmm.2019.2947197","mag":"2981210451"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2019.2947197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2947197","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/A5044278476","display_name":"Yuebin Wang","orcid":"https://orcid.org/0000-0002-6978-4558"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuebin Wang","raw_affiliation_strings":["School of Land Science and Technology, China University of Geosciences, Beijing, China","Shanxi Provincial Key Laboratory of Resources, Environment and Disaster Monitoring, Jinzhong, China"],"affiliations":[{"raw_affiliation_string":"School of Land Science and Technology, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"Shanxi Provincial Key Laboratory of Resources, Environment and Disaster Monitoring, Jinzhong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459445","display_name":"Liqiang Zhang","orcid":"https://orcid.org/0000-0002-4175-7590"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xian, China","School of Computer Science, Northwestern Polytechnical University, Xian, China"],"affiliations":[{"raw_affiliation_string":"Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003991545","display_name":"Xingang Li","orcid":"https://orcid.org/0000-0003-2665-8671"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Li","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739505","display_name":"Zhijun Chen","orcid":"https://orcid.org/0009-0007-3660-362X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Chen","raw_affiliation_strings":["School of Mathematical Sciences, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101903127","display_name":"Faqiang Wang","orcid":"https://orcid.org/0000-0001-5317-562X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faqiang Wang","raw_affiliation_strings":["School of Mathematical Sciences, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044278476"],"corresponding_institution_ids":["https://openalex.org/I3125743391"],"apc_list":null,"apc_paid":null,"fwci":1.8393,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88888362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"6","first_page":"1458","last_page":"1469"},"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":0.9976999759674072,"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":0.9972000122070312,"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":0.7869454622268677},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.685810923576355},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5790945291519165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5722739100456238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5304733514785767},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5261183381080627},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.43386879563331604},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.43331044912338257},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4267634153366089},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3522647023200989},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33126530051231384},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.1062169075012207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869454622268677},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.685810923576355},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5790945291519165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5722739100456238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5304733514785767},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5261183381080627},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.43386879563331604},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.43331044912338257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4267634153366089},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3522647023200989},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33126530051231384},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.1062169075012207},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2019.2947197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2947197","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":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G90881182","display_name":null,"funder_award_id":"2018YFC0213600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G916450140","display_name":null,"funder_award_id":"41801241","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W199018803","https://openalex.org/W220637603","https://openalex.org/W648143168","https://openalex.org/W1861492603","https://openalex.org/W1900408618","https://openalex.org/W1910300841","https://openalex.org/W1923967535","https://openalex.org/W1939575207","https://openalex.org/W1956333070","https://openalex.org/W1959016151","https://openalex.org/W1975517671","https://openalex.org/W1976258951","https://openalex.org/W1992371516","https://openalex.org/W2007972815","https://openalex.org/W2022398315","https://openalex.org/W2051666324","https://openalex.org/W2074668987","https://openalex.org/W2084363474","https://openalex.org/W2099471712","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2123024445","https://openalex.org/W2144093206","https://openalex.org/W2153273131","https://openalex.org/W2154579312","https://openalex.org/W2163605009","https://openalex.org/W2167581801","https://openalex.org/W2173520492","https://openalex.org/W2203543769","https://openalex.org/W2266728343","https://openalex.org/W2293824885","https://openalex.org/W2464915613","https://openalex.org/W2493727926","https://openalex.org/W2527238922","https://openalex.org/W2562322388","https://openalex.org/W2598003564","https://openalex.org/W2603445054","https://openalex.org/W2618530766","https://openalex.org/W2625219738","https://openalex.org/W2627183927","https://openalex.org/W2733548594","https://openalex.org/W2738649458","https://openalex.org/W2739107216","https://openalex.org/W2745398842","https://openalex.org/W2749145308","https://openalex.org/W2751445731","https://openalex.org/W2752930373","https://openalex.org/W2785630720","https://openalex.org/W2786585376","https://openalex.org/W2888313892","https://openalex.org/W2889024947","https://openalex.org/W2897547672","https://openalex.org/W2929226556","https://openalex.org/W2951523806","https://openalex.org/W2962702862","https://openalex.org/W2962793481","https://openalex.org/W2962805368","https://openalex.org/W2962958773","https://openalex.org/W2962967183","https://openalex.org/W2963001870","https://openalex.org/W2963226019","https://openalex.org/W2963684088","https://openalex.org/W2963785020","https://openalex.org/W2964181521","https://openalex.org/W2964280870","https://openalex.org/W2985825743","https://openalex.org/W3099677434","https://openalex.org/W3102154133","https://openalex.org/W3118608800","https://openalex.org/W4320013936","https://openalex.org/W6608183366","https://openalex.org/W6621378261","https://openalex.org/W6640412524","https://openalex.org/W6648560114","https://openalex.org/W6678470764","https://openalex.org/W6680889708","https://openalex.org/W6682751323","https://openalex.org/W6685352114","https://openalex.org/W6688143368","https://openalex.org/W6697060382","https://openalex.org/W6718140377","https://openalex.org/W6730864085","https://openalex.org/W6734954172","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2811247857","https://openalex.org/W2136399778","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/W1835589799","https://openalex.org/W4385261619"],"abstract_inverted_index":{"Image":[0],"hashing":[1,14,68,76,87,96,167,185,190],"has":[2,192],"been":[3],"widely":[4],"used":[5],"in":[6,33,147],"image":[7,18,29,35,84,102,116,161,166,184],"retrieval":[8],"tasks.":[9],"Many":[10],"existing":[11],"methods":[12],"generate":[13,101],"codes":[15,88],"based":[16],"on":[17,206],"feature":[19],"representations.":[20],"They":[21],"rarely":[22],"consider":[23],"the":[24,34,60,67,83,112,115,118,126,130,152,160,165,175,193,198,214],"rich":[25],"information":[26,31,62,109,176],"such":[27],"as":[28,37,39],"clustering":[30,61,178],"contained":[32],"set":[36,85,162],"well":[38],"uncertain":[40,199],"relationships":[41,200],"between":[42,114,154,201],"images":[43,64,155,202],"and":[44,106,117,133,156,203],"tags":[45],"simultaneously.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"develop":[51],"a":[52,75,98,122],"Weighted":[53],"Generative":[54],"Adversarial":[55],"Networks":[56],"(WeGAN)":[57],"to":[58,65,86,100,124,143,149,163,195],"transfer":[59],"of":[63,82,89,95,177],"construct":[66],"code.":[69],"WeGAN":[70,171,212],"consists":[71],"three":[72,136,207],"modules:":[73],"1)":[74],"learning":[77],"process":[78,164,197],"for":[79,183],"transferring":[80],"knowledge":[81],"single":[90],"images;":[91],"2)":[92],"by":[93],"means":[94],"codes,":[97],"module":[99],"content,":[103],"tag":[104],"representation,":[105],"their":[107],"joint":[108],"which":[110,180],"reflects":[111],"correlation":[113],"corresponding":[119],"tags;":[120],"3)":[121],"discriminator":[123],"distinguish":[125],"generated":[127,189],"data":[128],"from":[129],"original":[131],"source,":[132],"then":[134],"formulating":[135],"loss":[137,145],"functions.":[138],"Different":[139],"weights":[140],"are":[141],"assigned":[142],"these":[144],"functions":[146],"order":[148],"deal":[150],"with":[151,168,186],"uncertainties":[153],"tags.":[157,204],"Through":[158],"introducing":[159],"different":[169],"tags,":[170],"can":[172],"naturally":[173],"provide":[174],"results,":[179],"is":[181],"useful":[182],"multi-tags.":[187],"The":[188],"code":[191],"ability":[194],"dynamically":[196],"Experiments":[205],"challenging":[208],"datasets":[209],"show":[210],"that":[211],"outperforms":[213],"state-of-the-art":[215],"methods.":[216]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}