{"id":"https://openalex.org/W4306292177","doi":"https://doi.org/10.1093/comjnl/bxac134","title":"CR Loss: Improving Biometric Using ClassRoom Learning Approach","display_name":"CR Loss: Improving Biometric Using ClassRoom Learning Approach","publication_year":2022,"publication_date":"2022-10-14","ids":{"openalex":"https://openalex.org/W4306292177","doi":"https://doi.org/10.1093/comjnl/bxac134"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxac134","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxac134","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5005208902","display_name":"Shitala Prasad","orcid":"https://orcid.org/0000-0002-4640-5164"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shitala Prasad","raw_affiliation_strings":["Institute for Infocomm Research, A*Star , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*Star , Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047242742","display_name":"Tingting Chai","orcid":"https://orcid.org/0000-0002-4507-5693"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Chai","raw_affiliation_strings":["Harbin Institute of Technology , Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology , Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462976","display_name":"Jiahui Li","orcid":"https://orcid.org/0009-0004-5962-478X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Li","raw_affiliation_strings":["Harbin Institute of Technology , Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology , Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087988450","display_name":"Zhaoxin Zhang","orcid":"https://orcid.org/0000-0002-9209-1717"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxin Zhang","raw_affiliation_strings":["Harbin Institute of Technology , Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology , Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005208902"],"corresponding_institution_ids":["https://openalex.org/I3005327000"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.4242,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57160472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"66","issue":"12","first_page":"2897","last_page":"2907"},"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/T10751","display_name":"Forensic and Genetic Research","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9731000065803528,"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/nist","display_name":"NIST","score":0.9133269786834717},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.795819878578186},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7933698296546936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7729431390762329},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7597135305404663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5822087526321411},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5802863240242004},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5063554048538208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47057148814201355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4618256688117981},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.42791563272476196},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.24152207374572754}],"concepts":[{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.9133269786834717},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.795819878578186},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7933698296546936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7729431390762329},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7597135305404663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5822087526321411},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5802863240242004},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5063554048538208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47057148814201355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4618256688117981},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.42791563272476196},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.24152207374572754},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxac134","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxac134","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2594088761","https://openalex.org/W2618530766","https://openalex.org/W2781292787","https://openalex.org/W2791437400","https://openalex.org/W2804045122","https://openalex.org/W2921789662","https://openalex.org/W2938749213","https://openalex.org/W2946300279","https://openalex.org/W2963466847","https://openalex.org/W2963552770","https://openalex.org/W2963656735","https://openalex.org/W2969985801","https://openalex.org/W2991040477","https://openalex.org/W3002157766","https://openalex.org/W3003465473","https://openalex.org/W3036119713","https://openalex.org/W3036251674","https://openalex.org/W3039817009","https://openalex.org/W3040429391","https://openalex.org/W3088877992","https://openalex.org/W3099206234","https://openalex.org/W3129897498","https://openalex.org/W3134449933","https://openalex.org/W3158055634","https://openalex.org/W3159177986","https://openalex.org/W3172125635","https://openalex.org/W4220675832","https://openalex.org/W4220929574","https://openalex.org/W4244066103","https://openalex.org/W4247978784","https://openalex.org/W4297853109","https://openalex.org/W4392415920","https://openalex.org/W6637373629","https://openalex.org/W6640713477","https://openalex.org/W6686164453","https://openalex.org/W6687483927","https://openalex.org/W6726946684","https://openalex.org/W6734347731","https://openalex.org/W6735013348","https://openalex.org/W6736780073","https://openalex.org/W6745269957","https://openalex.org/W6747555152","https://openalex.org/W6748010250","https://openalex.org/W6749265614","https://openalex.org/W6750014555","https://openalex.org/W6751211558","https://openalex.org/W6756718674","https://openalex.org/W6760135501","https://openalex.org/W6762869584","https://openalex.org/W6773119079","https://openalex.org/W6773374245","https://openalex.org/W6775925065","https://openalex.org/W6780267668","https://openalex.org/W6780400868","https://openalex.org/W6780851395","https://openalex.org/W6783230961","https://openalex.org/W6785269020","https://openalex.org/W6791025874","https://openalex.org/W6791771247","https://openalex.org/W6794194274","https://openalex.org/W6795380623","https://openalex.org/W6797227957","https://openalex.org/W6799282774","https://openalex.org/W6800956404","https://openalex.org/W6809713953","https://openalex.org/W6809840818"],"related_works":["https://openalex.org/W2106922437","https://openalex.org/W2807901368","https://openalex.org/W2158491338","https://openalex.org/W2133733652","https://openalex.org/W2072658171","https://openalex.org/W2606392311","https://openalex.org/W4385956668","https://openalex.org/W2900895161","https://openalex.org/W4238290540","https://openalex.org/W4249167053"],"abstract_inverted_index":{"Abstract":[0],"One":[1],"of":[2,101],"the":[3,18,50,56,60,87,125,131,136],"important":[4],"factors":[5],"in":[6],"deep":[7],"feature":[8,63],"learning":[9,29],"is":[10],"their":[11],"loss":[12,34,54,128],"function":[13],"design":[14],"which":[15],"highly":[16],"influences":[17],"network":[19,51,57],"performance.":[20],"In":[21],"this":[22,119],"paper,":[23],"we":[24,72],"proposed":[25,126],"a":[26,93,115],"classroom":[27],"(CR)":[28],"approach":[30],"along":[31],"with":[32],"arcface":[33],"for":[35,65,134,141],"contactless":[36,95,108],"palmprint":[37,66,81,96,109],"recognition":[38],"to":[39,49,58,118],"obtain":[40],"high-level":[41],"discriminative":[42],"features":[43],"without":[44],"any":[45],"extra":[46],"load":[47],"made":[48],"architecture.":[52],"CR":[53,127],"allows":[55],"learn":[59],"best":[61],"possible":[62],"representations":[64],"images.":[67],"To":[68],"validate":[69],"our":[70,84],"concept,":[71],"performed":[73],"extensive":[74],"experimental":[75],"evaluations":[76],"on":[77],"various":[78],"popular":[79],"benchmark":[80],"databases":[82,138],"where":[83],"methods":[85,133],"outperform":[86],"state-of-the-art":[88],"methods.":[89],"We":[90],"also":[91],"introduced":[92],"challenging":[94],"database":[97,110],"called":[98],"Harbin":[99],"Institute":[100],"Technology-Network":[102],"&amp;":[103],"Information":[104],"Security":[105],"Research":[106],"Center":[107],"version":[111],"1.0":[112],"(HIT-NIST-V1),":[113],"as":[114],"new":[116],"contribution":[117],"domain.":[120],"The":[121],"result":[122],"proves":[123],"that":[124],"consistently":[129],"outperforms":[130],"SOTA":[132],"all":[135],"considered":[137],"and":[139],"especially":[140],"HIT-NIST-V1.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
