Similar classes latent distribution modelling-based oversampling method for imbalanced image classi�cation

HIGHLIGHTS

  • who: Oversampling and collaborators from the Guilin University of Technology University of Technology, Guilin, China have published the paper: Similar Classes Latent Distribution modelling-based Oversampling Method for Imbalanced Image Classiufffdcation, in the Journal: (JOURNAL)
  • what: The authors focus on the decision and propose a modellingbased method. The authors develop a distance minimization loss function which makes closer in space. The authors propose a sampling strategy which uses variables between to generate for data balancing. Specifically, the authors design a similar classes modelling network (SCN), which is an improved network of VAE-GAN and consists . . .

     

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