Depth estimation from a single sem image using pixel-wise fine-tuning with multimodal data

HIGHLIGHTS

• who: Tim Houben from the Eindhoven University of Technology, Eindhoven, The Netherlands have published the research: Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data, in the Journal: (JOURNAL)
• what: The aim of this work is to investigate whether sufficient 3D information is present in a single SEM image for accurate surface reconstruction of the device topology. The authors demonstrate that the proposed neural network architecture together a tailored training procedure leads to accurate depth predictions. The authors demonstrate a weakly supervised domain adaptation technique, to incorporate the OCD . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.