An unsupervised transfer learning frameworkfor visible-thermal pedestrian detection

HIGHLIGHTS

• who: Chengjin Lyu and colleagues from the University-imec, , have published the article: An Unsupervised Transfer Learning Frameworkfor Visible-Thermal Pedestrian Detection, in the Journal: Sensors 2022, 22, 4416. of /2022/
• what: To overcome the problem the authors propose a novel unsupervised transfer learning framework for multispectral detection which adapts a multispectral detector to the target domain based on pseudo training labels. The majority of current research focuses on designing an appropriate fusion strategy to exploit the multispectral information from the dual cameras . The authors present an overview of the whole framework. Based on the . . .
  

   

  

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