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1 Ergebnisse
1
Are Explainability Tools Gender Biased? A Case Study on Fac..:
, In:
2023 31st European Signal Processing Conference (EUSIPCO)
,
Huber, Marco
;
Fang, Meiling
;
Boutros, Fadi
. - p. 945-949 , 2023
Link:
https://doi.org/10.23919/EUSIPCO58844.2023.10289865
RT T1 <cTitle>2023 31st European Signal Processing Conference (EUSIPCO)</cTitle>: T1 <Title>Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10289865&Exemplar=1&LAN=DE A1 Huber, Marco A1 Fang, Meiling A1 Boutros, Fadi A1 Damer, Naser YR 2023 SN 2076-1465 K1 Deep learning K1 Computer vision K1 Face recognition K1 Europe K1 Signal processing K1 Behavioral sciences K1 Face Recognition K1 Bias K1 Explainability K1 Face PAD SP 945 OP 949 LK http://dx.doi.org/https://doi.org/10.23919/EUSIPCO58844.2023.10289865 DO https://doi.org/10.23919/EUSIPCO58844.2023.10289865 SF ELIB - SuUB Bremen
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