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Assessing the Impact of Diversity on the Resilience of Deep..:
, In:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
,
Rosales, Rafael
;
Munoz, Pablo
;
Paulitsch, Michael
- p. 4408-4418 , 2023
Link:
https://doi.org/10.1109/ICCVW60793.2023.00475
RT T1 <cTitle>2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)</cTitle>: T1 <Title>Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10350535&Exemplar=1&LAN=DE A1 Rosales, Rafael A1 Munoz, Pablo A1 Paulitsch, Michael YR 2023 SN 2473-9944 K1 Measurement K1 Deep learning K1 Training K1 Correlation K1 Conferences K1 Neurons K1 Computer architecture K1 diversity K1 ensembles K1 deep learning K1 out of distribution K1 attribution SP 4408 OP 4418 LK http://dx.doi.org/https://doi.org/10.1109/ICCVW60793.2023.00475 DO https://doi.org/10.1109/ICCVW60793.2023.00475 SF ELIB - SuUB Bremen
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