{"id":"https://openalex.org/W2902713587","doi":"https://doi.org/10.1109/access.2019.2891894","title":"Deep Attention-Guided Hashing","display_name":"Deep Attention-Guided Hashing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2902713587","doi":"https://doi.org/10.1109/access.2019.2891894","mag":"2902713587"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2891894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08607076.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08607076.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057461144","display_name":"Zhan Yang","orcid":"https://orcid.org/0000-0002-6336-0228"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Yang","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6336-0228","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083565175","display_name":"Osolo Ian Raymond","orcid":"https://orcid.org/0000-0001-9891-6161"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Osolo Ian Raymond","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9891-6161","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061855170","display_name":"Wuqing Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuqing Sun","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035841372","display_name":"Jun Long","orcid":"https://orcid.org/0000-0003-0163-0007"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Long","raw_affiliation_strings":["Network Resources Management and Trust Evaluation Key Laboratory of Hunan Province, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Network Resources Management and Trust Evaluation Key Laboratory of Hunan Province, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3586,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81403397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"11209","last_page":"11221"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9983999729156494,"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":0.9934999942779541,"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":0.8627141118049622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8037407994270325},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.6595897674560547},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6176882982254028},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.6076690554618835},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49927854537963867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48975110054016113},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.4680953323841095},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.464308500289917},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.440791517496109},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.40788814425468445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3612140417098999},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08398035168647766}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8627141118049622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8037407994270325},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.6595897674560547},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6176882982254028},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.6076690554618835},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49927854537963867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48975110054016113},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.4680953323841095},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.464308500289917},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.440791517496109},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.40788814425468445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3612140417098999},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08398035168647766}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2891894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08607076.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1812.01404","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.01404","pdf_url":"https://arxiv.org/pdf/1812.01404","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:38135cdd5d0f48e98108bdd0fbad3e2e","is_oa":true,"landing_page_url":"https://doaj.org/article/38135cdd5d0f48e98108bdd0fbad3e2e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 11209-11221 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2891894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08607076.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7801516544","display_name":"\u9762\u5411\u670d\u52a1\u8ba1\u7b97\u6a21\u5f0f\u8f6f\u4ef6\u7684QoS\u8ba1\u7b97\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61472450","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902713587.pdf","grobid_xml":"https://content.openalex.org/works/W2902713587.grobid-xml"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W205159212","https://openalex.org/W639708223","https://openalex.org/W1903029394","https://openalex.org/W1910300841","https://openalex.org/W1923967535","https://openalex.org/W1928906481","https://openalex.org/W1939575207","https://openalex.org/W1974647172","https://openalex.org/W1990537115","https://openalex.org/W1992371516","https://openalex.org/W2007972815","https://openalex.org/W2041878876","https://openalex.org/W2049632392","https://openalex.org/W2084363474","https://openalex.org/W2089632823","https://openalex.org/W2104657103","https://openalex.org/W2113307832","https://openalex.org/W2117539524","https://openalex.org/W2124509324","https://openalex.org/W2135957164","https://openalex.org/W2155541015","https://openalex.org/W2162006472","https://openalex.org/W2163605009","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2213472736","https://openalex.org/W2221852422","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2306952455","https://openalex.org/W2411707397","https://openalex.org/W2460852148","https://openalex.org/W2464915613","https://openalex.org/W2508837377","https://openalex.org/W2528605210","https://openalex.org/W2560982456","https://openalex.org/W2574678123","https://openalex.org/W2583528645","https://openalex.org/W2604702198","https://openalex.org/W2618530766","https://openalex.org/W2621176975","https://openalex.org/W2737725206","https://openalex.org/W2738649458","https://openalex.org/W2739565366","https://openalex.org/W2745647803","https://openalex.org/W2749145308","https://openalex.org/W2766471938","https://openalex.org/W2767123230","https://openalex.org/W2772756366","https://openalex.org/W2788819546","https://openalex.org/W2799471983","https://openalex.org/W2810887794","https://openalex.org/W2890032859","https://openalex.org/W2895831816","https://openalex.org/W2913932916","https://openalex.org/W2920852583","https://openalex.org/W2948171447","https://openalex.org/W2963001870","https://openalex.org/W2963173190","https://openalex.org/W2963276379","https://openalex.org/W2963398644","https://openalex.org/W2963637710","https://openalex.org/W2964137095","https://openalex.org/W2964280870","https://openalex.org/W2964304299","https://openalex.org/W3102154133","https://openalex.org/W3118608800","https://openalex.org/W3124951096","https://openalex.org/W4285719527","https://openalex.org/W4294375521","https://openalex.org/W4300601563","https://openalex.org/W4308909683","https://openalex.org/W4394670951","https://openalex.org/W6608394925","https://openalex.org/W6640412524","https://openalex.org/W6676931166","https://openalex.org/W6680437723","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W6688152296","https://openalex.org/W6688844344","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6728334670","https://openalex.org/W6732403188","https://openalex.org/W6738979955","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W1870428314","https://openalex.org/W2023326318","https://openalex.org/W2783286101","https://openalex.org/W2921167217","https://openalex.org/W4212830455","https://openalex.org/W2000284985","https://openalex.org/W2158169729","https://openalex.org/W2253231004","https://openalex.org/W2086731314","https://openalex.org/W2058116810"],"abstract_inverted_index":{"With":[0],"the":[1,13,15,39,47,50,61,67,105,113,117,122,128,131,135,140,146,159,164,175,179,189,194,202,213,216,230,242,251,282],"rapid":[2],"growth":[3],"of":[4,49,116,130,134,199,215,241],"multimedia":[5,32],"data":[6],"(e.g.,":[7,66],"image,":[8],"audio,":[9],"and":[10,73,154,178,279,292],"video)":[11],"on":[12,286],"Web,":[14],"learning-based":[16,40,52,63,84],"hashing":[17,41,53,64,85,90,114,124,132,142,155,218,253],"techniques,":[18],"such":[19],"as":[20,225],"deep":[21,51,88],"supervised":[22,226],"hashing,":[23],"have":[24],"proven":[25],"to":[26,46,60,103,126,157,187,192,211,228,249,257],"be":[27],"very":[28],"efficient":[29,259],"for":[30],"large-scale":[31],"search.":[33],"The":[34,99,167,182],"recent":[35],"successes":[36],"seen":[37],"in":[38,145,201,247,255,262],"methods":[42,65,285],"are":[43,57,110,209,223],"largely":[44],"due":[45],"success":[48],"methods.":[54],"However,":[55],"there":[56],"some":[58],"limitations":[59],"previous":[62],"learned":[68],"hash":[69,107,161,207,260,277],"codes":[70,108,162,208,222,261,278],"containing":[71],"repetitive":[72],"highly":[74],"correlated":[75],"information).":[76],"In":[77],"this":[78],"paper,":[79],"we":[80,170],"propose":[81,171],"a":[82,263],"novel":[83],"method,":[86],"named":[87],"attention-guided":[89,160,206],"(DAgH).":[91],"DAgH":[92,236,273],"is":[93,102,185],"implemented":[94],"using":[95],"two":[96,173],"stream":[97,119,137],"frameworks.":[98],"core":[100],"idea":[101],"use":[104,240],"guided":[106],"which":[109],"generated":[111],"by":[112],"network":[115,133,153,156,191,219,254],"first":[118,123,147],"framework":[120,138],"(called":[121,139],"network)":[125],"guide":[127,212,250],"training":[129,214],"second":[136,141,203,217,231,252],"network).":[143,232],"Specifically,":[144],"network,":[148,204],"it":[149,280],"leverages":[150],"an":[151],"attention":[152,180,183,190],"generate":[158,275],"from":[163,197,268],"original":[165],"images.":[166],"loss":[168,177,184],"function":[169],"contains":[172],"components:":[174],"semantic":[176],"loss.":[181],"used":[186,210],"punish":[188],"obtain":[193],"salient":[195],"region":[196],"pairs":[198],"images;":[200],"these":[205,221],"(i.e.,":[220],"treated":[224],"labels":[227],"train":[229],"By":[233],"doing":[234],"this,":[235],"can":[237,274],"make":[238],"full":[239],"most":[243],"critical":[244],"information":[245],"contained":[246],"images":[248],"order":[256],"learn":[258],"true":[264],"end-to-end":[265],"fashion.":[266],"Results":[267],"our":[269],"experiments":[270],"demonstrate":[271],"that":[272],"high-quality":[276],"outperforms":[281],"current":[283],"state-of-the-art":[284],"three":[287],"benchmark":[288],"datasets:":[289],"CIFAR-10,":[290],"NUS-WIDE,":[291],"ImageNet.":[293]},"counts_by_year":[{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}