{"id":"https://openalex.org/W3189475579","doi":"https://doi.org/10.1145/3404835.3462896","title":"Binary Neural Network Hashing for Image Retrieval","display_name":"Binary Neural Network Hashing for Image Retrieval","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3189475579","doi":"https://doi.org/10.1145/3404835.3462896","mag":"3189475579"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3462896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462896","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462896","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462896","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017704875","display_name":"Wanqian Zhang","orcid":"https://orcid.org/0000-0001-5734-4072"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanqian Zhang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, CA, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, CA, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002436544","display_name":"Dayan Wu","orcid":"https://orcid.org/0000-0002-8604-7226"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayan Wu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016175345","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0003-4188-9953"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374360","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-6709-0942"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442321","display_name":"Weiping Wang","orcid":"https://orcid.org/0000-0002-8618-4992"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101525319","display_name":"Dan Meng","orcid":"https://orcid.org/0000-0003-1980-9283"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Meng","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5017704875"],"corresponding_institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.4566,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84183401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1318","last_page":"1327"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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":0.996399998664856,"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":0.8516455888748169},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.692526638507843},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5803771018981934},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5725771188735962},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5479058623313904},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5288287997245789},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5271722078323364},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5182895064353943},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5022907257080078},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4646557867527008},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4610869288444519},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.4356110095977783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3780002295970917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37630414962768555},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.369717001914978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35274702310562134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27725470066070557},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.15566039085388184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8516455888748169},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.692526638507843},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5803771018981934},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5725771188735962},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5479058623313904},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5288287997245789},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5271722078323364},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5182895064353943},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5022907257080078},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4646557867527008},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4610869288444519},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.4356110095977783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3780002295970917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37630414962768555},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.369717001914978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35274702310562134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27725470066070557},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.15566039085388184},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3462896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462896","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462896","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3404835.3462896","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462896","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462896","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1037566147","display_name":null,"funder_award_id":"SKLMCC2020KF004","funder_id":"https://openalex.org/F4320329139","funder_display_name":"Communication University of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4811743277","display_name":null,"funder_award_id":"2018YFC","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8741921880","display_name":null,"funder_award_id":"62006221","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"},{"id":"https://openalex.org/F4320329139","display_name":"Communication University of China","ror":"https://ror.org/04facbs33"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189475579.pdf","grobid_xml":"https://content.openalex.org/works/W3189475579.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1902934009","https://openalex.org/W1910300841","https://openalex.org/W1992371516","https://openalex.org/W2084363474","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2187089797","https://openalex.org/W2267635276","https://openalex.org/W2293597654","https://openalex.org/W2300242332","https://openalex.org/W2464915613","https://openalex.org/W2469490737","https://openalex.org/W2508837377","https://openalex.org/W2602753196","https://openalex.org/W2788819546","https://openalex.org/W2798834175","https://openalex.org/W2904710026","https://openalex.org/W2905097026","https://openalex.org/W2962786441","https://openalex.org/W2962835968","https://openalex.org/W2963398644","https://openalex.org/W2964195914","https://openalex.org/W2964541115","https://openalex.org/W2966466587","https://openalex.org/W2980275434","https://openalex.org/W3022413352","https://openalex.org/W3034297393","https://openalex.org/W3034759158","https://openalex.org/W3034851464","https://openalex.org/W3034876737","https://openalex.org/W3035219584","https://openalex.org/W3035732386","https://openalex.org/W3088524643","https://openalex.org/W3092729605","https://openalex.org/W3093265782","https://openalex.org/W3096641820","https://openalex.org/W3104151879","https://openalex.org/W3110103492","https://openalex.org/W3111409838","https://openalex.org/W4234552385","https://openalex.org/W6602670149"],"related_works":["https://openalex.org/W2811247857","https://openalex.org/W1554555624","https://openalex.org/W2000284985","https://openalex.org/W2782395949","https://openalex.org/W4212830455","https://openalex.org/W2121303315","https://openalex.org/W2086731314","https://openalex.org/W2985440808","https://openalex.org/W230433452","https://openalex.org/W2158169729"],"abstract_inverted_index":{"Hashing":[0,75],"has":[1],"become":[2],"increasingly":[3],"important":[4],"for":[5,77],"large-scale":[6],"image":[7,79],"retrieval,":[8],"of":[9,52,59,139,167],"which":[10,29,96],"the":[11,40,56,102,108,116,122,137,152,156,165],"low":[12],"storage":[13],"cost":[14],"and":[15,43,93,163],"fast":[16,78],"searching":[17],"are":[18,30],"two":[19],"key":[20],"properties.":[21],"However,":[22],"existing":[23],"methods":[24,159],"adopt":[25],"large":[26,161],"neural":[27,53],"networks,":[28],"hard":[31],"to":[32,39,89,114,134],"be":[33],"deployed":[34],"in":[35,112,141],"resource-limited":[36],"devices":[37],"due":[38],"unacceptable":[41],"memory":[42],"runtime":[44],"overhead.":[45],"We":[46],"address":[47],"that":[48,151],"this":[49,62],"huge":[50,117],"overhead":[51],"networks":[54],"somewhatviolates":[55],"appealing":[57],"properties":[58],"hashing.":[60],"In":[61],"paper,":[63],"we":[64,82,126],"propose":[65],"a":[66,128],"novel":[67],"deep":[68],"hashing":[69],"method,":[70],"called":[71],"Binary":[72],"Neural":[73],"Network":[74],"(BNNH)":[76],"retrieval.":[80],"Specifically,":[81],"construct":[83],"an":[84],"efficient":[85],"binarized":[86],"network":[87],"architecture":[88],"provide":[90],"lighter":[91],"model":[92],"faster":[94],"inference,":[95],"directly":[97],"generates":[98],"binary":[99],"outputs":[100],"as":[101],"desired":[103],"hash":[104],"codes":[105],"without":[106],"introducing":[107],"quantization":[109],"loss.":[110],"Besides,":[111],"order":[113],"circumvent":[115],"performance":[118],"degradation":[119],"caused":[120],"by":[121,160],"extremely":[123],"quantized":[124],"activations,":[125],"introduce":[127],"simple":[129],"yet":[130],"effective":[131],"activation-aware":[132],"loss":[133],"explicitly":[135],"guide":[136],"updating":[138],"activations":[140],"intermediate":[142],"layers.":[143],"Extensive":[144],"experiments":[145],"conducted":[146],"on":[147],"three":[148],"benchmarks":[149],"show":[150],"proposed":[153],"method":[154],"outperforms":[155],"state-of-the-art":[157],"binarization":[158],"margins":[162],"validate":[164],"efficiency":[166],"BNNH.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}