{"id":"https://openalex.org/W2895933466","doi":"https://doi.org/10.1109/icme.2018.8486592","title":"Rank-Consistency Multi-Label Deep Hashing","display_name":"Rank-Consistency Multi-Label Deep Hashing","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2895933466","doi":"https://doi.org/10.1109/icme.2018.8486592","mag":"2895933466"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2018.8486592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2018.8486592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Multimedia and Expo (ICME)","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/A5052568526","display_name":"Cheng Ma","orcid":"https://orcid.org/0000-0002-0232-5912"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Ma","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689250","display_name":"Zhixiang Chen","orcid":"https://orcid.org/0000-0002-5636-6082"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiang Chen","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460385","display_name":"Jiwen Lu","orcid":"https://orcid.org/0000-0002-6121-5529"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Lu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620306","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-7701-234X"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, China","institution_ids":["https://openalex.org/I4210156423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210156423"],"apc_list":null,"apc_paid":null,"fwci":0.8366,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85005724,"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":"1","last_page":"6"},"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":0.9941999912261963,"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":0.9905999898910522,"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/hamming-space","display_name":"Hamming space","score":0.9402782917022705},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.766095757484436},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.717463493347168},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6694996356964111},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6535370945930481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6325072050094604},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.553901195526123},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5391523838043213},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.5386384129524231},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.5246161222457886},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5201449990272522},{"id":"https://openalex.org/keywords/hamming-weight","display_name":"Hamming weight","score":0.5094490647315979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5037340521812439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4768487215042114},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4672653079032898},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.44348791241645813},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.4384395480155945},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.4255084991455078},{"id":"https://openalex.org/keywords/hamming","display_name":"Hamming(7,4)","score":0.4174189567565918},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.39099574089050293},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3083588182926178},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2999125123023987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.276122510433197},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2249445915222168},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.22164112329483032},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.1782834231853485},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1486423909664154}],"concepts":[{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.9402782917022705},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.766095757484436},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.717463493347168},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6694996356964111},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6535370945930481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6325072050094604},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.553901195526123},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5391523838043213},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.5386384129524231},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.5246161222457886},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5201449990272522},{"id":"https://openalex.org/C63361517","wikidata":"https://www.wikidata.org/wiki/Q5645805","display_name":"Hamming weight","level":5,"score":0.5094490647315979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5037340521812439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4768487215042114},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4672653079032898},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.44348791241645813},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.4384395480155945},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.4255084991455078},{"id":"https://openalex.org/C112932734","wikidata":"https://www.wikidata.org/wiki/Q2322550","display_name":"Hamming(7,4)","level":5,"score":0.4174189567565918},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.39099574089050293},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3083588182926178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2999125123023987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.276122510433197},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2249445915222168},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.22164112329483032},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.1782834231853485},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1486423909664154},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2018.8486592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2018.8486592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1910300841","https://openalex.org/W1923967535","https://openalex.org/W1951304353","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W1985417744","https://openalex.org/W1985554184","https://openalex.org/W1987566020","https://openalex.org/W1992371516","https://openalex.org/W2044195942","https://openalex.org/W2089632823","https://openalex.org/W2117539524","https://openalex.org/W2122205543","https://openalex.org/W2126210882","https://openalex.org/W2145065594","https://openalex.org/W2162881463","https://openalex.org/W2164338181","https://openalex.org/W2164587673","https://openalex.org/W2171790913","https://openalex.org/W2293597654","https://openalex.org/W2388114291","https://openalex.org/W2565993688","https://openalex.org/W2964076257","https://openalex.org/W3103722964","https://openalex.org/W4251560691","https://openalex.org/W6606244218","https://openalex.org/W6640412524","https://openalex.org/W6646630155","https://openalex.org/W6648560114","https://openalex.org/W6678246256","https://openalex.org/W6684181414","https://openalex.org/W6697214482","https://openalex.org/W6731107727"],"related_works":["https://openalex.org/W2168583610","https://openalex.org/W2574678123","https://openalex.org/W2106912783","https://openalex.org/W2170314267","https://openalex.org/W1519122282","https://openalex.org/W2991691693","https://openalex.org/W2158117886","https://openalex.org/W3205692356","https://openalex.org/W2029205712","https://openalex.org/W2895933466"],"abstract_inverted_index":{"In":[0,46],"this":[1],"paper,":[2],"we":[3,37,48,100],"present":[4],"a":[5,15,50,89],"deep":[6],"hashing":[7],"method":[8],"for":[9,34],"multi-label":[10,35,90,108],"image":[11],"retrieval,":[12],"which":[13],"uses":[14],"rank":[16],"list":[17],"to":[18,30,42,54,94,142],"provide":[19],"global":[20,84],"supervision":[21],"information.":[22,85],"Unlike":[23],"most":[24],"existing":[25],"approaches":[26],"using":[27],"shallow":[28],"models":[29],"learn":[31],"hash":[32],"functions":[33],"images,":[36],"deepen":[38],"the":[39,56,60,64,67,96,102,111,116,120,127,131,144],"DNN":[40],"structure":[41],"extract":[43],"powerful":[44],"features.":[45],"addition,":[47],"apply":[49],"rank-consistency":[51],"objective":[52],"function":[53],"align":[55],"similarity":[57,114],"orders":[58],"in":[59,115,130],"hamming":[61,121,132],"space":[62,118],"and":[63,75,138],"ones":[65],"from":[66],"original":[68,117],"space.":[69,133],"Compared":[70],"with":[71,119],"conventional":[72],"contrast":[73],"loss":[74,93],"triplet":[76],"loss,":[77],"our":[78,147],"listwise":[79],"ranking":[80],"can":[81],"capture":[82],"sufficient":[83],"We":[86],"also":[87],"propose":[88],"softmax":[91],"cross-entropy":[92],"strengthen":[95],"discriminative":[97],"power.":[98],"Specifically,":[99],"consider":[101],"number":[103],"of":[104,107,113,146],"common":[105],"labels":[106],"images":[109],"as":[110,126],"metric":[112,129],"distance":[122,128],"between":[123],"binary":[124],"codes":[125],"Experimental":[134],"results":[135],"on":[136],"MIRFLICKR-25K":[137],"IAPRTC12":[139],"are":[140],"presented":[141],"show":[143],"effectiveness":[145],"proposed":[148],"approach.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}