{"id":"https://openalex.org/W4379805847","doi":"https://doi.org/10.1109/tim.2023.3284057","title":"Multi-Target Cross-Dataset Palmprint Recognition via Distilling From Multi-Teacher","display_name":"Multi-Target Cross-Dataset Palmprint Recognition via Distilling From Multi-Teacher","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379805847","doi":"https://doi.org/10.1109/tim.2023.3284057"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3284057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3284057","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5062833517","display_name":"Huikai Shao","orcid":"https://orcid.org/0000-0001-9970-1576"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huikai Shao","raw_affiliation_strings":["School of Automation Science and Engineering, and the School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, China","Xi'an Yizhanghui Technology Co, Xi'an, Shannxi, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, and the School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Yizhanghui Technology Co, Xi'an, Shannxi, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020071899","display_name":"Dexing Zhong","orcid":"https://orcid.org/0000-0002-6806-6300"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexing Zhong","raw_affiliation_strings":["School of Automation Science and Engineering, Xi’an Jiaotong University, Shaanxi, Xi\u2019an, China","Research Institute of Xi'an Jiaotong University, Zhejiang, China","Pazhou Laboratory, Guangzhou, China","State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi’an Jiaotong University, Shaanxi, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Research Institute of Xi'an Jiaotong University, Zhejiang, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062833517"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.787,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8565053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11448","display_name":"Face recognition and analysis","score":0.9957000017166138,"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/T10057","display_name":"Face and Expression Recognition","score":0.979200005531311,"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":0.788558840751648},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6840078234672546},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5940240025520325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5937360525131226},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.56699538230896},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5580523014068604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5425040125846863},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5359099507331848},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.48823216557502747},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4738638401031494},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4194289445877075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39938193559646606},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36418333649635315},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08985450863838196},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.0680798888206482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06781259179115295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788558840751648},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6840078234672546},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5940240025520325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5937360525131226},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.56699538230896},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5580523014068604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5425040125846863},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5359099507331848},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.48823216557502747},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4738638401031494},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4194289445877075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39938193559646606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36418333649635315},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08985450863838196},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0680798888206482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06781259179115295},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3284057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3284057","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G3587630405","display_name":null,"funder_award_id":"62206218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4709750675","display_name":null,"funder_award_id":"LTGG23F030006","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1904365287","https://openalex.org/W2010954356","https://openalex.org/W2114214092","https://openalex.org/W2126562928","https://openalex.org/W2140959843","https://openalex.org/W2144025519","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2615293002","https://openalex.org/W2908401002","https://openalex.org/W2936864631","https://openalex.org/W2940927497","https://openalex.org/W2946300279","https://openalex.org/W2962898354","https://openalex.org/W2963140444","https://openalex.org/W2963775347","https://openalex.org/W2964288524","https://openalex.org/W2966065417","https://openalex.org/W2969985801","https://openalex.org/W2999529733","https://openalex.org/W3003384866","https://openalex.org/W3006654643","https://openalex.org/W3040429391","https://openalex.org/W3043790829","https://openalex.org/W3088032605","https://openalex.org/W3088877992","https://openalex.org/W3105847166","https://openalex.org/W3108549452","https://openalex.org/W3118371074","https://openalex.org/W3118945974","https://openalex.org/W3123372968","https://openalex.org/W3128140926","https://openalex.org/W3137157783","https://openalex.org/W3153166695","https://openalex.org/W3154366079","https://openalex.org/W3163682380","https://openalex.org/W3177378457","https://openalex.org/W3186759331","https://openalex.org/W3190096330","https://openalex.org/W3193517049","https://openalex.org/W3193957345","https://openalex.org/W3194214615","https://openalex.org/W3197113661","https://openalex.org/W3205825741","https://openalex.org/W3214424624","https://openalex.org/W3217332001","https://openalex.org/W4200633579","https://openalex.org/W4210944420","https://openalex.org/W4213177592","https://openalex.org/W4220675832","https://openalex.org/W4220906434","https://openalex.org/W4225385394","https://openalex.org/W4225743918","https://openalex.org/W4226458186","https://openalex.org/W4243097765","https://openalex.org/W4280579565","https://openalex.org/W4285177866","https://openalex.org/W4285278903","https://openalex.org/W4312547315","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6640036494","https://openalex.org/W6676663998","https://openalex.org/W6683633756","https://openalex.org/W6790545024"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W4283332091","https://openalex.org/W3145050838","https://openalex.org/W2400428875","https://openalex.org/W4385573474"],"abstract_inverted_index":{"Cross-dataset":[0],"palmprint":[1,50,67,148],"recognition":[2,68],"is":[3,53,62,83,98,116],"an":[4,60],"important":[5],"and":[6,13,45,72,158],"popular":[7],"topic,":[8],"which":[9,52],"has":[10],"attracted":[11],"more":[12,14,55,140],"attention.":[15],"In":[16,57],"previous":[17],"study,":[18],"researchers":[19],"are":[20,131,143],"mainly":[21],"focused":[22],"on":[23,146],"the":[24,36,89,102,120,137,164],"scenarios":[25],"of":[26,88,105,166],"single-target":[27],"or":[28],"multi-source":[29],"cross-dataset":[30,49,66],"recognition.":[31],"However,":[32],"in":[33],"practical":[34],"application,":[35],"query":[37],"images":[38],"may":[39],"be":[40],"collected":[41],"from":[42,123],"multiple":[43,90,147],"devices":[44],"environment,":[46],"called":[47],"multi-target":[48,65],"recognition,":[51],"much":[54],"challenging.":[56],"this":[58],"paper,":[59],"approach":[61],"presented":[63],"for":[64],"using":[69,108],"knowledge":[70,104,122,139],"distillation":[71,129],"domain":[73,109],"adaptation,":[74],"named":[75],"Distilling":[76],"From":[77],"Multi-Teachers":[78],"(DFMT).":[79],"The":[80],"source":[81],"dataset":[82],"firstly":[84],"paired":[85],"with":[86],"each":[87,106],"target":[91],"datasets.":[92],"Then,":[93,111],"a":[94,112],"teacher":[95,124],"feature":[96,114,125],"extractor":[97,115],"constructed":[99,132],"to":[100,118,133,135,169],"extract":[101],"adaptive":[103,121,138],"pair":[107],"adaptation.":[110],"student":[113],"established":[117],"learn":[119],"extractors.":[126],"Particularly,":[127],"multi-level":[128],"losses":[130],"help":[134],"transfer":[136],"effectively.":[141],"Experiments":[142],"carried":[144],"out":[145],"databases":[149],"such":[150],"as":[151],"contact":[152],"database,":[153,155,157],"contact-less":[154],"constrained":[156],"unconstrained":[159],"database.":[160],"Experimental":[161],"results":[162],"demonstrate":[163],"superiority":[165],"DFMT":[167],"compared":[168],"other":[170],"competitive":[171],"algorithms.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}