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Addressing Class Imbalance in Image-Based Plant Disease Det..:
, In:
2020 International Conference on Systems, Signals and Image Processing (IWSSIP)
,
Nafi, Nasik Muhammad
;
Hsu, William H.
- p. 243-248 , 2020
Link:
https://doi.org/10.1109/IWSSIP48289.2020.9145239
RT T1 <cTitle>2020 International Conference on Systems, Signals and Image Processing (IWSSIP)</cTitle>: T1 <Title>Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9145239&Exemplar=1&LAN=DE A1 Nafi, Nasik Muhammad A1 Hsu, William H. YR 2020 SN 2157-8702 K1 Diseases K1 Gallium nitride K1 Generative adversarial networks K1 Training K1 Task analysis K1 Feature extraction K1 Data models K1 plant disease detection K1 class imbalance K1 data augmentation K1 sampling vs generative K1 generative adversarial network SP 243 OP 248 LK http://dx.doi.org/https://doi.org/10.1109/IWSSIP48289.2020.9145239 DO https://doi.org/10.1109/IWSSIP48289.2020.9145239 SF ELIB - SuUB Bremen
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