Pair-wise similarity knowledge distillation for rsi scene classification

HIGHLIGHTS

• who: Haoran Zhao and colleagues from the College of Information Science and Engineering, Haide College and Institute of Advanced Ocean Study, The Department of Aerospace and Geodesy, Technical University of Munich, Mu00fcnchen, Germany have published the article: Pair-Wise Similarity Knowledge Distillation for RSI Scene Classification, in the Journal: (JOURNAL)
• what: To tackle this problem the authors introduce a novel knowledge distillation method which could reduce the model complexity while maintaining satisfactory accuracy to obtain a compact and efficient deep neural network for RSI Different from the existing knowledge distillation methods the authors design a . . .
  

   

  

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