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1 Ergebnisse
1
An Empirical Analysis for Zero-Shot Multi-Label Classificat..:
, In:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
,
Dack, Ethan
;
Brigato, Lorenzo
;
McMurray, Matthew
... - p. 2626-2635 , 2023
Link:
https://doi.org/10.1109/ICCVW60793.2023.00278
RT T1 <cTitle>2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)</cTitle>: T1 <Title>An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10350919&Exemplar=1&LAN=DE A1 Dack, Ethan A1 Brigato, Lorenzo A1 McMurray, Matthew A1 Fontanellaz, Matthias A1 Frauenfelder, Thomas A1 Hoppe, Hanno A1 Exadaktylos, Aristomenis A1 Geiser, Thomas A1 Funke-Chambour, Manuela A1 Christel, Andreas A1 Ebner, Lukas A1 Mougiakakou, Stavroula YR 2023 SN 2473-9944 K1 COVID-19 K1 Hospitals K1 Pandemics K1 Computed tomography K1 Pulmonary diseases K1 Lung K1 Glass K1 medical image analysis K1 self supervised learning K1 multimodal K1 deep learning K1 zero shot learning SP 2626 OP 2635 LK http://dx.doi.org/https://doi.org/10.1109/ICCVW60793.2023.00278 DO https://doi.org/10.1109/ICCVW60793.2023.00278 SF ELIB - SuUB Bremen
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