{"id":"https://openalex.org/W4390479160","doi":"https://doi.org/10.1145/3595916.3626424","title":"Multi-view\u2013enhanced modal fusion hashing for Unsupervised cross-modal retrieval","display_name":"Multi-view\u2013enhanced modal fusion hashing for Unsupervised cross-modal retrieval","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4390479160","doi":"https://doi.org/10.1145/3595916.3626424"},"language":"en","primary_location":{"id":"doi:10.1145/3595916.3626424","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626424","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626424","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","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/10.1145/3595916.3626424","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049104406","display_name":"Longfei Ma","orcid":"https://orcid.org/0000-0002-5224-9196"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longfei Ma","raw_affiliation_strings":["School of Computer and Information Science, Chongqing Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Chongqing Normal University, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789477","display_name":"Honggang Zhao","orcid":"https://orcid.org/0009-0007-1447-2593"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honggang Zhao","raw_affiliation_strings":["School of Computer and Information Science, Chongqing Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Chongqing Normal University, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101757372","display_name":"Zheng Jiang","orcid":"https://orcid.org/0009-0007-2273-6851"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Jiang","raw_affiliation_strings":["School of Computer and Information Science, Chongqing Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Chongqing Normal University, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100686151","display_name":"Mingyong Li","orcid":"https://orcid.org/0000-0002-5517-3633"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyong Li","raw_affiliation_strings":["School of Computer and Information Science, Chongqing Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Chongqing Normal University, China","institution_ids":["https://openalex.org/I126924076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049104406"],"corresponding_institution_ids":["https://openalex.org/I126924076"],"apc_list":null,"apc_paid":null,"fwci":0.4913,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66968866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9923999905586243,"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":0.988099992275238,"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/hash-function","display_name":"Hash function","score":0.7628375291824341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7602974772453308},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6907697319984436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5351001024246216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49232375621795654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4917321503162384},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4823143482208252},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44898703694343567},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4300786256790161},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42020338773727417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34290045499801636},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30757611989974976}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7628375291824341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602974772453308},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6907697319984436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5351001024246216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49232375621795654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4917321503162384},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4823143482208252},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44898703694343567},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4300786256790161},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42020338773727417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34290045499801636},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30757611989974976},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3595916.3626424","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626424","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626424","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3595916.3626424","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626424","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626424","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390479160.pdf","grobid_xml":"https://content.openalex.org/works/W4390479160.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2007972815","https://openalex.org/W2155803963","https://openalex.org/W2795832645","https://openalex.org/W2897547672","https://openalex.org/W2914911817","https://openalex.org/W2962955826","https://openalex.org/W2963187862","https://openalex.org/W2965509144","https://openalex.org/W2982905682","https://openalex.org/W3033587904","https://openalex.org/W3035747010","https://openalex.org/W3098766884","https://openalex.org/W3118309101","https://openalex.org/W3122091215","https://openalex.org/W3135367836","https://openalex.org/W3135808071","https://openalex.org/W3175740157","https://openalex.org/W4214540501","https://openalex.org/W4236965008","https://openalex.org/W4285242239","https://openalex.org/W4285288078","https://openalex.org/W4312477797","https://openalex.org/W4321021417","https://openalex.org/W4323022360"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"Cross-modal":[0],"hashing":[1,77],"is":[2,30,61],"an":[3],"important":[4],"direction":[5],"for":[6,47,78],"multimodal":[7],"data":[8,132],"management":[9],"and":[10,17,29,98,111,115,138,168],"applications,":[11],"which":[12],"has":[13],"recently":[14],"received":[15],"more":[16,18,31],"attention.":[19],"Unsupervised":[20,79],"cross-modal":[21,80,131,139],"retrieval":[22,81],"does":[23],"not":[24],"rely":[25],"on":[26,166,177],"tag":[27],"information":[28],"applicable":[32],"to":[33,54,63,83,104,128,154,172],"the":[34,55,106,113,119,130,143,156],"real":[35],"world.":[36],"However":[37],"it":[38,60],"still":[39],"faces":[40],"some":[41],"problems.":[42,86],"Existing":[43],"methods":[44],"mainly":[45],"encode":[46],"local":[48,116],"features":[49,117],"or":[50],"global":[51],"features.":[52],"Due":[53],"effect":[56],"of":[57,118],"negative":[58],"samples,":[59],"easy":[62],"cause":[64],"noise":[65,125],"interference.":[66],"To":[67],"solve":[68],"these":[69,85],"problems,":[70],"we":[71,88,99,122,147,161],"propose":[72,89],"a":[73,90,101,124,149],"Multi-view\u2013enhanced":[74],"modal":[75],"fusion":[76],"(MUCH)":[82],"improve":[84],"Firstly,":[87],"multi-view":[91,102,163],"network.":[92],"Images":[93],"inherently":[94],"contain":[95],"richer":[96],"semantics,":[97],"employ":[100],"network":[103],"observe":[105],"image":[107],"from":[108,135],"different":[109],"perspectives":[110,140],"obtain":[112],"overall":[114],"image.":[120],"Secondly,":[121],"introduce":[123],"cancellation":[126],"module":[127],"approximate":[129],"feature":[133],"alignment":[134],"both":[136],"intra-modal":[137],"before":[141],"generating":[142],"hash":[144],"code.":[145],"Finally,":[146],"construct":[148],"distribution-based":[150],"similarity":[151,158],"weighting":[152],"matrix":[153],"replace":[155],"graphical":[157],"matrix.":[159],"And":[160],"performed":[162],"enhancement":[164,174],"experiments":[165],"JDSH":[167],"CIRH,":[169],"with":[170],"1%":[171],"2%":[173],"over":[175],"DAEH":[176],"all":[178],"three":[179],"datasets.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
