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1 Ergebnisse
1
A Framework to Improve the Comparability and Reproducibilit..:
, In:
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
,
Di Domenico, Nicolo
;
Borghi, Guido
;
Franco, Annalisa
.. - p. 525-530 , 2023
Link:
https://doi.org/10.1109/MetroXRAINE58569.2023.10405735
RT T1 <cTitle>2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)</cTitle>: T1 <Title>A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10405735&Exemplar=1&LAN=DE A1 Di Domenico, Nicolo A1 Borghi, Guido A1 Franco, Annalisa A1 Ferrara, Matteo A1 Maltoni, Davide YR 2023 K1 Face recognition K1 Source coding K1 Reproducibility of results K1 Security K1 Artificial intelligence K1 Usability K1 Task analysis K1 Morphing Attack K1 Morphing Attack Detection (MAD) K1 Single-image MAD (S-MAD) K1 Differential MAD (D-MAD) K1 Automated Border Control (ABC) K1 Face Recognition Systems (FRS) SP 525 OP 530 LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE58569.2023.10405735 DO https://doi.org/10.1109/MetroXRAINE58569.2023.10405735 SF ELIB - SuUB Bremen
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