{"id":"https://openalex.org/W3001957650","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965839","title":"Multi-Loss Function Fusion for Face Recognition Based on the Convolutional Neural Network","display_name":"Multi-Loss Function Fusion for Face Recognition Based on the Convolutional Neural Network","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3001957650","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965839","mag":"3001957650"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-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/A5043311744","display_name":"Qing Gao","orcid":"https://orcid.org/0000-0002-5395-6175"},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Gao","raw_affiliation_strings":["Guangxi University for Nationalities, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University for Nationalities, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I167274908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061465605","display_name":"Qihui Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihui Peng","raw_affiliation_strings":["Guangxi University for Nationalities, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University for Nationalities, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I167274908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028472518","display_name":"Shibin Xuan","orcid":"https://orcid.org/0000-0002-0819-9216"},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibin Xuan","raw_affiliation_strings":["Guangxi University for Nationalities, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University for Nationalities, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I167274908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049880952","display_name":"Kaicheng Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi University for Nationalities","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaicheng Xiong","raw_affiliation_strings":["Guangxi University for Nationalities, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University for Nationalities, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I167274908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043311744"],"corresponding_institution_ids":["https://openalex.org/I167274908"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47303687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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":0.9980999827384949,"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/T10828","display_name":"Biometric Identification and Security","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8339079022407532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520787119865417},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7193699479103088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6365252733230591},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5940883755683899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5755663514137268},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48335689306259155},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4583330750465393},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4286843538284302}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8339079022407532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520787119865417},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7193699479103088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6365252733230591},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5940883755683899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5755663514137268},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48335689306259155},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4583330750465393},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4286843538284302},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1950843348","https://openalex.org/W1998808035","https://openalex.org/W2009824857","https://openalex.org/W2096733369","https://openalex.org/W2121647436","https://openalex.org/W2140609507","https://openalex.org/W2144172034","https://openalex.org/W2146474141","https://openalex.org/W2320315804","https://openalex.org/W2368766672","https://openalex.org/W2557839538","https://openalex.org/W2594407953","https://openalex.org/W2609296554","https://openalex.org/W2624228982","https://openalex.org/W2766890262","https://openalex.org/W2784163702","https://openalex.org/W2941219996","https://openalex.org/W2962922273","https://openalex.org/W2963466847","https://openalex.org/W2963656735","https://openalex.org/W3099206234","https://openalex.org/W3103152812","https://openalex.org/W6681239517","https://openalex.org/W6700331016","https://openalex.org/W6730125062","https://openalex.org/W6735013348"],"related_works":["https://openalex.org/W3190346410","https://openalex.org/W3005311408","https://openalex.org/W2738135525","https://openalex.org/W2990712505","https://openalex.org/W2893176624","https://openalex.org/W2799459626","https://openalex.org/W2907624579","https://openalex.org/W3124296358","https://openalex.org/W3115621100","https://openalex.org/W3010074710","https://openalex.org/W2769296245","https://openalex.org/W3181661525","https://openalex.org/W2896540794","https://openalex.org/W2792359987","https://openalex.org/W2109218456","https://openalex.org/W2887917393","https://openalex.org/W3010490140","https://openalex.org/W3042518074","https://openalex.org/W3158840648","https://openalex.org/W3211803217"],"abstract_inverted_index":{"In":[0,53],"recent":[1],"years,":[2],"deep":[3],"convolutional":[4,22,69,96],"neural":[5,23,70,97],"network":[6,24,71,98],"techniques":[7],"have":[8,35],"been":[9,36],"widely":[10],"used":[11],"in":[12],"face":[13,26,59],"recognition.":[14,27],"Loss":[15],"function":[16,40,65,84,92],"is":[17,72,76],"an":[18],"important":[19],"part":[20],"of":[21,32,45,81,104],"for":[25],"At":[28],"present,":[29],"a":[30],"variety":[31],"loss":[33,39,83],"functions":[34],"proposed.":[37,73],"Each":[38],"has":[41],"its":[42],"own":[43],"scope":[44],"application":[46],"as":[47,49],"well":[48],"advantages":[50],"and":[51],"disadvantages.":[52],"order":[54],"to":[55,77],"improve":[56,100],"the":[57,79,89,101,105],"robustness,a":[58],"recognition":[60,102],"algorithm":[61,106],"based":[62],"on":[63],"multi-loss":[64,91],"self-adaptive":[66,93],"weighted":[67,94],"fusion":[68,95],"Its":[74],"core":[75],"learn":[78],"weight":[80],"each":[82],"automatically.":[85],"Experimental":[86],"results":[87],"show":[88],"improved":[90],"can":[99],"rate":[103],"effectively.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}