Mutual guidance meets supervised contrastive learning: vehicle detection in remote sensing images

HIGHLIGHTS

• who: Hoàng-Ân Lê and colleagues from the Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université Bretagne Sud, UMR , have published the article: Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images, in the Journal: (JOURNAL)
• what: The authors propose using supervised contrastive loss in combination with a mutual guidance matching process to helps learn stronger object representations and tackles the misalignment of localization and classification in object detection. The authors propose a framework inspired by the mutual guidance idea for vehicle detection from remote sensing images . . .
  

   

  

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