{"id":"https://openalex.org/W2700609278","doi":"https://doi.org/10.1109/icip.2017.8296917","title":"Unsupervised deep hashing with stacked convolutional autoencoders","display_name":"Unsupervised deep hashing with stacked convolutional autoencoders","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2700609278","doi":"https://doi.org/10.1109/icip.2017.8296917","mag":"2700609278"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01528097","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006028215","display_name":"Sovann En","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sovann En","raw_affiliation_strings":["UNICAEN, Normandie Univ","Equipe Image - Laboratoire GREYC - UMR6072 (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNICAEN, Normandie Univ","institution_ids":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]},{"raw_affiliation_string":"Equipe Image - Laboratoire GREYC - UMR6072 (France)","institution_ids":["https://openalex.org/I4210139483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108119396","display_name":"Bruno Cr\u00e9milleux","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bruno Cremilleux","raw_affiliation_strings":["UNICAEN, Normandie Univ","Equipe CODAG - Laboratoire GREYC - UMR6072 (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNICAEN, Normandie Univ","institution_ids":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]},{"raw_affiliation_string":"Equipe CODAG - Laboratoire GREYC - UMR6072 (France)","institution_ids":["https://openalex.org/I4210139483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001375778","display_name":"Fr\u00e9d\u00e9ric Jurie","orcid":"https://orcid.org/0000-0002-2686-0020"},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Jurie","raw_affiliation_strings":["UNICAEN, Normandie Univ","Equipe Image - Laboratoire GREYC - UMR6072 (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNICAEN, Normandie Univ","institution_ids":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]},{"raw_affiliation_string":"Equipe Image - Laboratoire GREYC - UMR6072 (France)","institution_ids":["https://openalex.org/I4210139483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.796,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8506766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3420","last_page":"3424"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"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":0.9921000003814697,"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":0.7462894320487976},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7062102556228638},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6993105411529541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6967349052429199},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6902987957000732},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6675545573234558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.651498019695282},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6249942779541016},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5664207339286804},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4995558261871338},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.49373993277549744},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.48596274852752686},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4661584794521332},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4652365744113922},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4092669188976288},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38686978816986084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18129506707191467},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12556388974189758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11081364750862122}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462894320487976},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7062102556228638},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6993105411529541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6967349052429199},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6902987957000732},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6675545573234558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.651498019695282},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6249942779541016},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5664207339286804},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4995558261871338},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.49373993277549744},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.48596274852752686},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4661584794521332},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4652365744113922},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4092669188976288},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38686978816986084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18129506707191467},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12556388974189758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11081364750862122},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2017.8296917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01528097v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01528097","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing, Sep 2017, Bejing, China","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01528097v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01528097","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing, Sep 2017, Bejing, China","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W630242894","https://openalex.org/W1502916507","https://openalex.org/W1531103298","https://openalex.org/W1913628733","https://openalex.org/W1959608418","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2044195942","https://openalex.org/W2055839530","https://openalex.org/W2074668987","https://openalex.org/W2090836891","https://openalex.org/W2124509324","https://openalex.org/W2136655611","https://openalex.org/W2145094598","https://openalex.org/W2259768202","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2411707397","https://openalex.org/W2430148947","https://openalex.org/W2464915613","https://openalex.org/W2493727926","https://openalex.org/W2556467266","https://openalex.org/W2919115771","https://openalex.org/W2962694510","https://openalex.org/W2963213486","https://openalex.org/W2997574889","https://openalex.org/W6629956336","https://openalex.org/W6631708475","https://openalex.org/W6648560114","https://openalex.org/W6679997575","https://openalex.org/W6681096077","https://openalex.org/W6697060382","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2911822711","https://openalex.org/W2937381246","https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W3213069564","https://openalex.org/W2997229301","https://openalex.org/W2794802664"],"abstract_inverted_index":{"Learning-based":[0],"image":[1,7,132,135],"hashing":[2,40],"consists":[3],"in":[4,24],"turning":[5],"high-dimensional":[6],"features":[8],"into":[9,87],"compact":[10],"binary":[11,58,92],"codes,":[12],"while":[13],"preserving":[14,46],"their":[15,28],"semantic":[16,48],"similarity":[17],"(i.e.,":[18],"if":[19],"two":[20],"images":[21,86],"are":[22],"close":[23,32],"terms":[25],"of":[26,65,100,120],"content,":[27],"codes":[29,59,112,130],"should":[30],"be":[31],"as":[33],"well).":[34],"In":[35,50],"this":[36,51],"context,":[37],"many":[38],"existing":[39],"techniques":[41],"rely":[42],"on":[43,77,131,138],"supervision":[44],"for":[45],"these":[47],"properties.":[49],"paper,":[52],"we":[53,124],"aim":[54],"at":[55],"learning":[56],"such":[57],"by":[60],"exploiting":[61],"the":[62,97,101,104,107,111,118,121,126,139],"underlying":[63],"structure":[64],"unlabeled":[66],"data,":[67],"using":[68],"deep":[69,73],"learning.":[70],"The":[71],"proposed":[72,122],"network":[74,102],"is":[75],"based":[76],"a":[78,88],"stacked":[79],"convolutional":[80],"autoencoder":[81],"which":[82],"hierarchically":[83],"maps":[84],"input":[85],"low-dimensional":[89],"space.":[90],"A":[91],"relaxation":[93],"constraint":[94],"applied":[95],"to":[96],"middle":[98],"layer":[99],"-":[103,109],"one":[105],"containing":[106],"code":[108],"makes":[110],"sparse":[113],"and":[114,134,142],"binary.":[115],"To":[116],"demonstrate":[117],"competitiveness":[119],"architecture,":[123],"evaluate":[125],"so":[127],"produced":[128],"hash":[129],"retrieval":[133],"classification":[136],"tasks":[137],"MNIST":[140],"dataset,":[141],"compare":[143],"its":[144],"performance":[145],"with":[146],"state-of-the-art":[147],"approaches.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}