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1 Ergebnisse
1
Learning to Augment Face Presentation Attack Dataset via Di..:
, In:
2022 IEEE International Conference on Multimedia and Expo (ICME)
,
Huang, Pei-Kai
;
Chang, Chu-Ling
;
Ni, Hui-Yu
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICME52920.2022.9859657
RT T1 <cTitle>2022 IEEE International Conference on Multimedia and Expo (ICME)</cTitle>: T1 <Title>Learning to Augment Face Presentation Attack Dataset via Disentangled Feature Learning from Limited Spoof Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9859657&Exemplar=1&LAN=DE A1 Huang, Pei-Kai A1 Chang, Chu-Ling A1 Ni, Hui-Yu A1 Hsu, Chiou-Ting YR 2022 SN 1945-788X K1 Training K1 Representation learning K1 Training data K1 Benchmark testing K1 Multitasking K1 Feature extraction K1 Task analysis K1 Face presentation attack detection K1 dis-entangled feature learning K1 multi-task learning K1 contrastive learning K1 limited training data SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICME52920.2022.9859657 DO https://doi.org/10.1109/ICME52920.2022.9859657 SF ELIB - SuUB Bremen
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