Spatial relation learning in complementary scenarios with deep neural networks

HIGHLIGHTS

• who: Jae Hee Lee from the Ritsumeikan University, Japan have published the article: Spatial relation learning in complementary scenarios with deep neural networks, in the Journal: (JOURNAL)
• what: The authors provide an example model for each of the three approaches. The contributions in this paper can be summarized as follows: Spatial relations between objects can be obtained in different ways. The authors propose a way to apply a relation learning approach that uses data from knowledge bases to learning spatial relations (Section 5). The authors provide a concept for integrating the three approaches and discuss . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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