Open research online

HIGHLIGHTS

• who: Chiatti et al. from the The Open University's repository of research publications have published the Article: Open Research Online, in the Journal: Electronics 2020, 9, 380 of /2020/
• what: The authors compare different (shallow and deep) approaches to few-shot image matching a novel data set consisting of 2D views of common object types drawn from a combination of ShapeNet and Google. The authors assess if the similarity of objects learned from a combination of ShapeNet and Google can scale up to new object classes i.e. categories unseen at training time. The . . .
  

   

  

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