arXiv.org
  
  
    

Spatial Transformer Networks 1

Convolutional Neural Networks define an exceptionally powerful class of
models, but are still limited by the lack of ability to be spatially invariant
to the input data in a computationally and parameter efficient manner. In this
work we introduce a...


  
  
    
    
  
  


I didn’t read the paper carefully so I might be wrong. For the 2*3 matrix, 1 value is scaling, 1 for x-translation, 1 for y-translation, 1 for rotating, 2 for sheering. I’m not sure about the ordering tho, u should take a look at the paper.