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

Claim 9:
10. The weakly supervised image semantic segmentation system based on the intra-class discriminator according to claim 6, wherein the first loss function is:, L
    ⁡
    
      (
      
        X
        ⁢
        1
      
      )
    
  
  =
  
    
      -
      
        1
        NHW
      
    
    ⁢
    
      
        ∑
        i
        N
      
      ⁢
      
        
          ∑
          k
          HW
        
        ⁢
        
          
            ∑
            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; yi,c represents an image-level label corresponding to a cth class of an ith image, ŵc represents 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, wcT 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.