Self-supervised learning for remote sensing scene classification under the few shot scenario

HIGHLIGHTS

• who: Najd Alosaimi from the DepartmentSaud University have published the Article: Self-supervised learning for remote sensing scene classification under the few shot scenario, in the Journal: Scientific Reports Scientific Reports
• what: The authors develop a method for the classification of RS scenes under the few shot scenario, named RS-FewShotSSL, which can learn from the abundant available unlabeled RS scenes using self-supervised learning techniques.. The authors evaluate the performance of RS-FewShotSSL method for the three RS datasets. The authors note here that, usually, the authors aim to run each experiment at least . . .
  

   

  

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