{"id":"https://openalex.org/W4317514637","doi":"https://doi.org/10.1109/ccis57298.2022.10016424","title":"Adversarial Guided Gradient Estimation Hashing for Cross-modal Retrieval","display_name":"Adversarial Guided Gradient Estimation Hashing for Cross-modal Retrieval","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4317514637","doi":"https://doi.org/10.1109/ccis57298.2022.10016424"},"language":"en","primary_location":{"id":"doi:10.1109/ccis57298.2022.10016424","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016424","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-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/A5034044616","display_name":"Kangkang Lu","orcid":"https://orcid.org/0000-0003-0983-758X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kangkang Lu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056818951","display_name":"Meiyu Liang","orcid":"https://orcid.org/0000-0003-1835-1848"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyu Liang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088046237","display_name":"Zhe Xue","orcid":"https://orcid.org/0000-0001-6123-0043"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Xue","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101442768","display_name":"Xiaowen Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Cao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086005684","display_name":"Mengran Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengran Yin","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065070298","display_name":"Zehua Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehua Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034044616"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1914302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"109","last_page":"113"},"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":0.9969000220298767,"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":0.9922999739646912,"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":0.7592532634735107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7290608882904053},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6606920957565308},{"id":"https://openalex.org/keywords/discrete-optimization","display_name":"Discrete optimization","score":0.47725388407707214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46345090866088867},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.46033960580825806},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4253718852996826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3614499568939209},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3366178870201111},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.26682326197624207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14552924036979675}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7592532634735107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7290608882904053},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6606920957565308},{"id":"https://openalex.org/C145671259","wikidata":"https://www.wikidata.org/wiki/Q1493786","display_name":"Discrete optimization","level":3,"score":0.47725388407707214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46345090866088867},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.46033960580825806},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4253718852996826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3614499568939209},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3366178870201111},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.26682326197624207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14552924036979675},{"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis57298.2022.10016424","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccis57298.2022.10016424","pdf_url":null,"source":{"id":"https://openalex.org/S4363608348","display_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1964073652","https://openalex.org/W2007972815","https://openalex.org/W2155803963","https://openalex.org/W2266728343","https://openalex.org/W2604880013","https://openalex.org/W2765440071","https://openalex.org/W2911495555","https://openalex.org/W2949588459","https://openalex.org/W2963173190","https://openalex.org/W2963187862","https://openalex.org/W2967957126","https://openalex.org/W2999606372","https://openalex.org/W3020188837","https://openalex.org/W3024419957","https://openalex.org/W3033799362","https://openalex.org/W3118309101","https://openalex.org/W3175740157","https://openalex.org/W3176349206","https://openalex.org/W4249992252","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6731910362","https://openalex.org/W6754813029"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2159024673","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W3001987467","https://openalex.org/W4252190074","https://openalex.org/W2968165261","https://openalex.org/W4304166257","https://openalex.org/W1603161560"],"abstract_inverted_index":{"Due":[0],"to":[1,59,77,94,100,127,143],"low":[2],"storage":[3],"cost":[4],"and":[5,147],"fast":[6],"query":[7],"speed,":[8],"deep":[9,34],"hashing":[10,35,112],"methods":[11],"are":[12],"widely":[13],"used":[14],"in":[15,33,37,75,131,135],"cross-modal":[16,87,96,157],"retrieval.":[17],"However,":[18],"the":[19,38,43,79,102,138,144],"\u201cheterogeneous":[20],"gap\u201d":[21],"between":[22,82],"multi-modal":[23],"data":[24],"is":[25,92,140],"still":[26],"a":[27,30,86,111],"challenge.":[28],"Moreover,":[29],"major":[31],"difficulty":[32],"lies":[36],"discrete":[39,103,129],"constraints":[40,130],"imposed":[41],"on":[42,116,155],"network":[44,91],"output.":[45],"Existing":[46],"solutions":[47],"usually":[48],"use":[49],"relaxation":[50],"techniques,":[51],"but":[52],"this":[53,64],"inevitably":[54],"produces":[55],"quantization":[56,150],"error,":[57],"leading":[58],"sub-optimal":[60],"hash":[61,107],"code.":[62],"In":[63],"paper,":[65],"we":[66,109],"propose":[67,110],"Adversarial":[68],"Guided":[69],"Gradient":[70],"Estimation":[71],"Hashing":[72],"(AGEH).":[73],"Firstly,":[74],"order":[76],"bridge":[78],"heterogeneous":[80],"gap":[81],"different":[83],"modal":[84],"data,":[85],"adversarial":[88],"feature":[89],"learning":[90],"constructed":[93],"learn":[95],"semantic":[97],"associations.":[98],"Secondly,":[99],"solve":[101],"optimization":[104,113],"problem":[105],"of":[106],"code,":[108],"strategy":[114],"based":[115],"gradient":[117,139],"estimation":[118],"for":[119],"sign":[120,125],"function,":[121],"which":[122],"strictly":[123],"uses":[124],"function":[126],"maintain":[128],"forward":[132],"propagation,":[133,137],"while":[134],"back":[136],"directly":[141],"transmitted":[142],"previous":[145],"layer":[146],"thus":[148],"avoid":[149],"error.":[151],"Extensive":[152],"experiments":[153],"conducted":[154],"two":[156],"benchmark":[158],"datasets":[159],"show":[160],"that":[161],"our":[162],"proposed":[163],"AGEH":[164],"outperforms":[165],"several":[166],"state-of-the-art":[167],"methods.":[168]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
