{"id":"https://openalex.org/W3001780655","doi":"https://doi.org/10.1109/spac46244.2018.8965490","title":"Fast and Efficient Image Retrieval via Fully-Convolutional Hashing Network","display_name":"Fast and Efficient Image Retrieval via Fully-Convolutional Hashing Network","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W3001780655","doi":"https://doi.org/10.1109/spac46244.2018.8965490","mag":"3001780655"},"language":"en","primary_location":{"id":"doi:10.1109/spac46244.2018.8965490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5101005888","display_name":"Wenyuan Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenyuan Fan","raw_affiliation_strings":["Beihang University,School of Computer Science and Engineering,Beijing,P. R. China","School of Computer Science and Engineering, Beihang University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Computer Science and Engineering,Beijing,P. R. China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056847110","display_name":"Qingjie Liu","orcid":"https://orcid.org/0000-0002-5181-6451"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjie Liu","raw_affiliation_strings":["Beihang University,School of Computer Science and Engineering,Beijing,P. R. China","School of Computer Science and Engineering, Beihang University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Computer Science and Engineering,Beijing,P. R. China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100684243","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0002-4409-3777"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xu","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,P. R. China","School of Information Science and Engineering, University of Jinan, Jinan, P. R. China"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,P. R. China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, P. R. China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101005888"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24958907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"395"},"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":0.9977999925613403,"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":0.9901000261306763,"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":0.8104993104934692},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7704912424087524},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7302515506744385},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6563296318054199},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5915557146072388},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5638201236724854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5411784648895264},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5227701663970947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.508815586566925},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4710053503513336},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.4334408640861511},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4130854308605194},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.36140239238739014},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34366732835769653},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.32807961106300354},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3045361042022705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27802225947380066},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.12054461240768433},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.07485741376876831},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0744081437587738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104993104934692},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7704912424087524},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7302515506744385},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6563296318054199},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5915557146072388},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5638201236724854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5411784648895264},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5227701663970947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.508815586566925},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4710053503513336},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.4334408640861511},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4130854308605194},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.36140239238739014},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34366732835769653},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.32807961106300354},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3045361042022705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27802225947380066},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.12054461240768433},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.07485741376876831},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0744081437587738},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac46244.2018.8965490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1502916507","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1910300841","https://openalex.org/W1939575207","https://openalex.org/W1956333070","https://openalex.org/W1992371516","https://openalex.org/W1996936615","https://openalex.org/W2074668987","https://openalex.org/W2084363474","https://openalex.org/W2097117768","https://openalex.org/W2122196799","https://openalex.org/W2124386111","https://openalex.org/W2124509324","https://openalex.org/W2126210882","https://openalex.org/W2155904486","https://openalex.org/W2163605009","https://openalex.org/W2164338181","https://openalex.org/W2166049352","https://openalex.org/W2194775991","https://openalex.org/W2221852422","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2411707397","https://openalex.org/W2464915613","https://openalex.org/W2508837377","https://openalex.org/W2950800384","https://openalex.org/W2962835968","https://openalex.org/W2963398644","https://openalex.org/W2964280870","https://openalex.org/W4294375521","https://openalex.org/W6620707391","https://openalex.org/W6629956336","https://openalex.org/W6637373629","https://openalex.org/W6640137922","https://openalex.org/W6648560114","https://openalex.org/W6671516380","https://openalex.org/W6682778277","https://openalex.org/W6684181414","https://openalex.org/W6684191040","https://openalex.org/W6688152296","https://openalex.org/W6688844344","https://openalex.org/W6697060382","https://openalex.org/W6697214482","https://openalex.org/W6714138976"],"related_works":["https://openalex.org/W2136399778","https://openalex.org/W2811247857","https://openalex.org/W102859714","https://openalex.org/W4298343607","https://openalex.org/W2334522381","https://openalex.org/W2040748620","https://openalex.org/W2951881567","https://openalex.org/W2084899141","https://openalex.org/W4297909034","https://openalex.org/W2797819729"],"abstract_inverted_index":{"With":[0],"the":[1,36,47,69,76,82,96,114,117,143,146],"rapid":[2],"development":[3],"of":[4,27,31,38,71,116,145],"information":[5],"technology,":[6],"content-based":[7],"image":[8,23,48],"retrieval":[9,77],"and":[10,33,74,95,119,132],"related":[11],"technologies":[12],"have":[13,75],"become":[14],"increasingly":[15],"important.":[16],"The":[17,88],"hash":[18,58],"method":[19,84,125],"can":[20,43,67],"represent":[21],"an":[22],"with":[24],"a":[25,39,50,56],"sequence":[26],"binary":[28,52],"codes":[29],"consisting":[30],"0":[32],"1,":[34],"while":[35],"application":[37],"convolutional":[40,63,93],"neural":[41,64],"networks":[42,130],"learn":[44],"directly":[45],"from":[46],"to":[49,101,141],"discriminative":[51],"code.":[53],"We":[54],"propose":[55],"deep":[57,107],"algorithm":[59],"based":[60],"on":[61,137],"full":[62],"network,":[65],"which":[66,111],"reduce":[68],"number":[70],"network":[72,90,109,118],"parameters":[73],"performance":[78],"not":[79],"lower":[80],"than":[81],"cutting-edge":[83],"in":[85,105],"this":[86],"field.":[87],"proposed":[89],"structure":[91],"uses":[92],"layers":[94,104],"global":[97],"average":[98],"pooling":[99],"layer":[100],"replace":[102],"fully-connected":[103],"current":[106],"hashing":[108,129],"structures,":[110],"significantly":[112],"reduces":[113],"complexity":[115],"improved":[120],"its":[121],"training":[122],"performance.":[123],"This":[124],"is":[126],"called":[127],"Fully-convolutional":[128],"(FCHN),":[131],"experiments":[133],"were":[134],"carried":[135],"out":[136],"several":[138],"publicized":[139],"datasets":[140],"verify":[142],"effectiveness":[144],"method.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
