{"id":"https://openalex.org/W4410022062","doi":"https://doi.org/10.3233/jifs-237502","title":"Deep hash networks with cross-scale feature fusion for optimal binary encoding","display_name":"Deep hash networks with cross-scale feature fusion for optimal binary encoding","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4410022062","doi":"https://doi.org/10.3233/jifs-237502"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-237502","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-237502","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"},"type":"article","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/A5100428151","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-5451-2683"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068425936","display_name":"Chaoqun Hong","orcid":"https://orcid.org/0000-0003-4472-7298"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaoqun Hong","raw_affiliation_strings":["School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027916619","display_name":"Pengcheng Huang","orcid":"https://orcid.org/0000-0002-9783-9149"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Huang","raw_affiliation_strings":["School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382689","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0002-9153-1928"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068966078","display_name":"Lang Ran","orcid":"https://orcid.org/0009-0001-4216-2484"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Ran","raw_affiliation_strings":["School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068425936"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30921003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":"5-6","first_page":"411","last_page":"426"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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":0.9955999851226807,"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":0.6484513282775879},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6195598244667053},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6003702878952026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5997587442398071},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5025317668914795},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.474344402551651},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4676133394241333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4147372841835022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3899439573287964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16873186826705933},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09517741203308105},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.062221795320510864},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.05845490097999573}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6484513282775879},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6195598244667053},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6003702878952026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5997587442398071},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5025317668914795},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.474344402551651},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4676133394241333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4147372841835022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3899439573287964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16873186826705933},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09517741203308105},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.062221795320510864},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.05845490097999573},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-237502","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-237502","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1956333070","https://openalex.org/W1965097372","https://openalex.org/W2055685931","https://openalex.org/W2105853573","https://openalex.org/W2109255472","https://openalex.org/W2111319461","https://openalex.org/W2111993661","https://openalex.org/W2117539524","https://openalex.org/W2165962657","https://openalex.org/W2186561432","https://openalex.org/W2293824885","https://openalex.org/W2293914784","https://openalex.org/W2555897561","https://openalex.org/W2605102252","https://openalex.org/W2614218061","https://openalex.org/W2621176975","https://openalex.org/W2753450332","https://openalex.org/W2796258071","https://openalex.org/W2902457971","https://openalex.org/W2931053602","https://openalex.org/W2962952237","https://openalex.org/W2964157791","https://openalex.org/W2964280870","https://openalex.org/W2987279054","https://openalex.org/W2998249728","https://openalex.org/W3006408869","https://openalex.org/W3006871679","https://openalex.org/W3009740936","https://openalex.org/W3009806461","https://openalex.org/W3012100394","https://openalex.org/W3013265869","https://openalex.org/W3034202663","https://openalex.org/W3034239448","https://openalex.org/W3034297393","https://openalex.org/W3110536152","https://openalex.org/W3118608800","https://openalex.org/W3163448798","https://openalex.org/W3176085205","https://openalex.org/W3177137916","https://openalex.org/W3199828419","https://openalex.org/W3204437373","https://openalex.org/W4200468977","https://openalex.org/W4210880854","https://openalex.org/W4255713959","https://openalex.org/W4286953491","https://openalex.org/W4385257519","https://openalex.org/W6732868154","https://openalex.org/W6738979955","https://openalex.org/W6743765911","https://openalex.org/W6775066537"],"related_works":["https://openalex.org/W2159024673","https://openalex.org/W3001987467","https://openalex.org/W2968165261","https://openalex.org/W1603161560","https://openalex.org/W4235381733","https://openalex.org/W1587382781","https://openalex.org/W2355022049","https://openalex.org/W2154676777","https://openalex.org/W2060429446","https://openalex.org/W2950663250"],"abstract_inverted_index":{"Deep":[0,87],"Hashing":[1],"is":[2,92],"a":[3,10,83,95,114,126,156,162,191],"technique":[4,40],"used":[5],"for":[6,117,130],"retrieving":[7],"images":[8,17],"on":[9,214],"large-scale,":[11],"encoding":[12],"the":[13,45,53,67,101,122,136,141,166,172,184,224],"latent":[14,71],"code":[15],"of":[16,47,70,165],"into":[18],"binary":[19,68,185],"codes,":[20],"which":[21],"significantly":[22],"reduces":[23],"computational":[24],"and":[25,36,52,58,113,138,177,221],"storage":[26],"costs":[27],"in":[28,66,147,203,210],"image":[29,50],"retrieval.":[30],"This":[31],"enables":[32],"fast":[33],"similarity":[34],"comparison":[35],"search.":[37],"However,":[38],"this":[39,80,148,188,204],"encounters":[41],"two":[42],"significant":[43],"challenges:":[44],"extraction":[46],"discriminating":[48],"category-specific":[49],"features":[51],"conflict":[54,173],"between":[55,174],"metric":[56,175],"learning":[57,176],"quantization":[59,178],"learning.":[60],"The":[61,90,199],"latter":[62],"challenge":[63],"often":[64],"results":[65],"representation":[69,164],"codes":[72,186],"being":[73],"considerably":[74],"ambiguous.":[75],"To":[76],"tackle":[77],"these":[78,151],"challenges,":[79],"paper":[81,149,189,205],"proposes":[82],"novel":[84,200],"Cross-Scale":[85],"Fusion":[86],"Hash":[88],"Network.":[89],"model":[91],"built":[93],"upon":[94],"dual-branch":[96],"framework,":[97],"aiming":[98],"to":[99,154,170],"capture":[100],"most":[102],"representative":[103],"retrieval":[104,208],"features.":[105],"One":[106],"branch":[107,124],"employs":[108],"Spatial":[109],"Pyramid":[110],"Pooling":[111],"layers":[112],"self-attention":[115],"mechanism":[116],"local":[118,137],"information":[119],"extraction,":[120],"whereas":[121],"other":[123],"uses":[125],"sliding":[127],"window":[128],"methodology":[129],"capturing":[131],"global":[132,139],"information.":[133],"Upon":[134],"obtaining":[135],"information,":[140],"Cross":[142],"Feature":[143],"Synergy":[144],"Module":[145],"proposed":[146,202],"integrates":[150],"data":[152],"points":[153],"form":[155],"comprehensive":[157],"feature":[158],"vector,":[159],"ultimately":[160],"generating":[161],"complete":[163],"image.":[167],"In":[168],"order":[169],"address":[171],"learning,":[179],"as":[180,182],"well":[181],"improve":[183],"further,":[187],"introduces":[190],"meticulously":[192],"designed,":[193],"threshold-dependent":[194],"Hash-Guided":[195],"Metric":[196],"Loss":[197],"(HGM-Loss).":[198],"network":[201],"demonstrates":[206],"superior":[207],"performance":[209],"standard":[211],"benchmark":[212],"tests":[213],"multiple":[215],"datasets,":[216],"including":[217],"CIFAR-10,":[218],"CIFAR-100,":[219],"ImageNet,":[220],"MS-COCO,":[222],"outperforming":[223],"existing":[225],"hash":[226],"methods.":[227]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}