Unsupervised image translation using adversarial networks for improved plant disease recognition
Computers and Electronics in Agriculture(2020)
摘要
•Challenging class data imbalance issue in deep-learning plant disease control.•Proposing a novel translator to generate disease images from healthy ones.•Augmenting tomato disease dataset with synthetic diseased images.•Significantly enhanced disease detection performance.
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关键词
Generative Adversarial Networks,Image translation,Data augmentation,Convolutional neural network,Plant disease recognition,Class imbalance,Activation reconstruction loss
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