Patent ID: 11928790
Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The object recognition learning device according to claim 3, wherein the parameter optimizer simultaneously optimizes respective parameters of the resolution increasing layer and the feature extraction layer of the neural network using the loss function shown below in Formula (1):, [
     
      Formula
      ⁢
         
      1
     
     ]
    
   
   
    
   
  
  
   
    
     
      
       λ
       1
      
      ⁢
      
       1
       N
      
      ⁢
      
       
        ∑
        
         i
         =
         1
        
        N
       
        
       
        
         (
         
          
           I
           i
          
          -
          
           I
           i
           S
          
         
         )
        
        2
       
      
     
     +
     
      
       λ
       2
      
      ⁢
      
       1
       2
      
      ⁢
      
       max
       ⁡
       (
       
        0
        ,
        
         m
         +
         
          
           
           
            
             d
             s
            
            -
            
             d
             +
            
           
           
          
          2
         
         -
         
          
           
           
            
             d
             s
            
            -
            
             d
             -
            
           
           
          
          2
         
        
       
       )
      
     
    
   
   
    
     (
     1
     )
    
   
  
 

where Ii is the arbitrary image, Iis is the intermediate high-resolution image acquired as the output of the resolution increasing layer when a low-resolution image IiL corresponding to the arbitrary image Ii is input therein, ds is the feature vector acquired as the output of the feature extraction layer when the intermediate high-resolution image Iis is input therein, d+ is the feature vector acquired as the output of the feature extraction layer when an image having an identical label to the arbitrary image is input therein, and d− is the feature vector acquired as the output of the feature extraction layer when an image having a different label to the arbitrary image is input therein.