{"id":"https://openalex.org/W1913628733","doi":"https://doi.org/10.1109/cvprw.2015.7301269","title":"Deep learning of binary hash codes for fast image retrieval","display_name":"Deep learning of binary hash codes for fast image retrieval","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1913628733","doi":"https://doi.org/10.1109/cvprw.2015.7301269","mag":"1913628733"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2015.7301269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074764224","display_name":"Kevin Lin","orcid":"https://orcid.org/0000-0002-1236-9847"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kevin Lin","raw_affiliation_strings":["Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019328343","display_name":"Huei\u2010Fang Yang","orcid":"https://orcid.org/0000-0001-8261-6965"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Huei-Fang Yang","raw_affiliation_strings":["Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103124223","display_name":"Jen-Hao Hsiao","orcid":"https://orcid.org/0009-0003-4542-7809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jen-Hao Hsiao","raw_affiliation_strings":["Yahoo, Taiwan","[Yahoo, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo, Taiwan","institution_ids":[]},{"raw_affiliation_string":"[Yahoo, Taiwan]","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072890368","display_name":"Chu\u2010Song Chen","orcid":"https://orcid.org/0000-0002-2959-2471"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chu-Song Chen","raw_affiliation_strings":["Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":642,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"35"},"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":0.9965999722480774,"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":0.9934999942779541,"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/mnist-database","display_name":"MNIST database","score":0.8294360637664795},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7825663089752197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7440556287765503},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.7065610885620117},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6835764646530151},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6438385248184204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6333457827568054},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5945229530334473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5765291452407837},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5741098523139954},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5487977266311646},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5060033202171326},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5004158020019531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32858479022979736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09659036993980408}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8294360637664795},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7825663089752197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440556287765503},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.7065610885620117},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6835764646530151},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6438385248184204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6333457827568054},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5945229530334473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5765291452407837},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5741098523139954},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5487977266311646},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5060033202171326},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5004158020019531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32858479022979736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09659036993980408},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","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},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2015.7301269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2015.7301269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W1502916507","https://openalex.org/W1677409904","https://openalex.org/W1849277567","https://openalex.org/W1907282891","https://openalex.org/W1978962787","https://openalex.org/W1992371516","https://openalex.org/W2044195942","https://openalex.org/W2062118960","https://openalex.org/W2084363474","https://openalex.org/W2102605133","https://openalex.org/W2123229215","https://openalex.org/W2130660124","https://openalex.org/W2131241448","https://openalex.org/W2141125852","https://openalex.org/W2151103935","https://openalex.org/W2155258183","https://openalex.org/W2155541015","https://openalex.org/W2155893237","https://openalex.org/W2161381512","https://openalex.org/W2162881463","https://openalex.org/W2163605009","https://openalex.org/W2164338181","https://openalex.org/W2221852422","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2396976214","https://openalex.org/W2913932916","https://openalex.org/W2963574257","https://openalex.org/W2963911037","https://openalex.org/W3118608800","https://openalex.org/W4294375521","https://openalex.org/W6608313692","https://openalex.org/W6629956336","https://openalex.org/W6637400245","https://openalex.org/W6639204139","https://openalex.org/W6639736908","https://openalex.org/W6648560114","https://openalex.org/W6682778277","https://openalex.org/W6684181414","https://openalex.org/W6684191040","https://openalex.org/W6688844344","https://openalex.org/W6697214482","https://openalex.org/W6712185225","https://openalex.org/W6758860047","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2950475743","https://openalex.org/W4386603768","https://openalex.org/W2886711096","https://openalex.org/W4380078352","https://openalex.org/W3036048022","https://openalex.org/W4309224979","https://openalex.org/W3026879719","https://openalex.org/W3013696689","https://openalex.org/W2963758661","https://openalex.org/W2088296667"],"abstract_inverted_index":{"Approximate":[0],"nearest":[1],"neighbor":[2],"search":[3],"is":[4,40],"an":[5,24],"efficient":[6],"strategy":[7],"for":[8,34,58,75,87,106],"large-scale":[9,107,135],"image":[10,36,77,97],"retrieval.":[11,37],"Encouraged":[12],"by":[13,53],"the":[14,43,60,65,71,121],"recent":[15],"advances":[16],"in":[17,99],"convolutional":[18],"neural":[19],"networks":[20],"(CNNs),":[21],"we":[22],"propose":[23],"effective":[25],"deep":[26],"learning":[27,76],"framework":[28],"to":[29],"generate":[30],"binary":[31,48,88],"hash":[32,94],"codes":[33,49,95],"fast":[35],"Our":[38],"idea":[39],"that":[41,63,83,112],"when":[42],"data":[44],"labels":[45],"are":[46],"available,":[47],"can":[50],"be":[51],"learned":[52],"employing":[54],"a":[55,100,134],"hidden":[56],"layer":[57],"representing":[59],"latent":[61],"concepts":[62],"dominate":[64],"class":[66],"labels.":[67],"The":[68],"utilization":[69],"of":[70,137],"CNN":[72],"also":[73],"allows":[74],"representations.":[78],"Unlike":[79],"other":[80],"supervised":[81],"methods":[82],"require":[84],"pair-wised":[85],"inputs":[86],"code":[89],"learning,":[90],"our":[91,113],"method":[92,114],"learns":[93],"and":[96,123,131],"representations":[98],"point-wised":[101],"manner,":[102],"making":[103],"it":[104],"suitable":[105],"datasets.":[108,125],"Experimental":[109],"results":[110],"show":[111],"outperforms":[115],"several":[116],"state-of-the-art":[117],"hashing":[118],"algorithms":[119],"on":[120,133],"CIFAR-10":[122],"MNIST":[124],"We":[126],"further":[127],"demonstrate":[128],"its":[129],"scalability":[130],"efficacy":[132],"dataset":[136],"1":[138],"million":[139],"clothing":[140],"images.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":51},{"year":2021,"cited_by_count":67},{"year":2020,"cited_by_count":84},{"year":2019,"cited_by_count":106},{"year":2018,"cited_by_count":117},{"year":2017,"cited_by_count":96},{"year":2016,"cited_by_count":29},{"year":2015,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
