Few-shot learning method based on data enhancement and transfer learning

HIGHLIGHTS

  • What: After pre-training with SCL, the model is fine-tuned through a small sample task, where only a small number of labeled samples are used. The aim of FSL is to learn and generalize from a very small amount of data, but the generalization ability of FSL models is often limited in practical applications. The research direction of FSL will aim to overcome these limitations.
  • Who: Bo Liu from the Information Engineering College, Capital Normal University, Beijing, China have published the research: Few-Shot Learning Method Based on Data Enhancement and Transfer Learning, in . . .

     

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