Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition

@article{Nazki2020UnsupervisedIT,
  title={Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition},
  author={Haseeb Nazki and Sook Yoon and Alvaro Fuentes and Dong Sun Park},
  journal={Comput. Electron. Agric.},
  year={2020},
  volume={168}
}
Acquisition of data in task-specific applications of machine learning like plant disease recognition is a costly endeavor owing to the requirements of professional human diligence and time constraints. In this paper, we present a simple pipeline that uses GANs in an unsupervised image translation environment to improve learning with respect to the data distribution in a plant disease dataset, reducing the partiality introduced by acute class imbalance and hence shifting the classification… Expand
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