Patent ID: 11887354
Assignee: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The weakly supervised image semantic segmentation method based on the intra-class discriminator according to claim 1, wherein the first loss function is:, L
   ⁡
   (
   
    X
    ⁢
    1
   
   )
  
  =
  
   
    -
    
     1
     
      N
      ⁢
      H
      ⁢
      W
     
    
   
   ⁢
   
    
     ∑
     
       
      i
     
     
       
      N
     
    
    
     
      ∑
      
        
       k
      
      
        
       
        H
        ⁢
        W
       
      
     
     
      
       ∑
       
         
        c
       
       
         
        C
       
      
      
       
        
         y
         
          i
          ,
          c
         
        
        (
        
         
          w
          c
          T
         
         ⁢
         
          x
          
           i
           ,
           k
          
         
        
        )
       
       2
      
     
    
   
  
 

wherein N represents a quantity of images in the training image set; H and W respectively represent a height and a width of a feature image of a training image; C represents a quantity of the image-level class labels in the training image set; yic,represents an image-level label corresponding to a cth class of an ith image, ŵc epresents a direction vector of an image-level class label c before normalization,, w
   c
  
  =
  
   
    
     w
     ^
    
    c
   
   
    
    
     
      w
      ^
     
     c
    
    , represents a direction vector of the image-level class label c after normalization, we is a transpose of wc; and xi,k represents a feature corresponding to a kth pixel position in a feature image of the ith image in the training image set.