Analysis of few-shot techniques for fungal plant disease classification and evaluation of clustering capabilities over real datasets

HIGHLIGHTS

• who: Itziar Egusquiza from the TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Tecnológico de Bizkaia, Derio, Spain, University of have published the research: Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets, in the Journal: (JOURNAL)
• what: In meta-learning the models are trained in a set of related prediction tasks, as described by Li and Yang for plant and pest image classification. The aim of this study is to demonstrate a FSL approach based on siamese networks and metric learning trained and evaluated . . .
  

   

  

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