Patent ID: 11881038
Assignee: KIA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The method of claim 1, wherein:
the deep convolutional neural network is a U-shaped structure deep convolutional neural network, and the deep convolutional neural network adopted EfficientNet-B3 as backbone network,
an output through the deep convolutional neural network is the initial feature map F0 in which the size is HF×WF and the number of channels is D,
the deep convolutional neural network includes a total of 7 convolution blocks of the first to seventh convolution blocks, and size of the feature map output from the third convolution block is HF×WF, the number of channels is D3, the size of the feature map output from the fifth convolution block is, H
        F
      
      2
    
    ×
    
      
        W
        F
      
      2
    
  
  ,, and the number of channels is D5, and the size of the feature map output from the seventh convolution block is, H
        F
      
      4
    
    ×
    
      
        W
        F
      
      4
    
  
  ,, and the number of channels is D, and
the feature map output from the seventh convolution block after the upsampling operation is added to the output result acquired by passing the output of the fifth convolution block through a 1×1 convolution with the channel number of D, and the acquired result after the upsampling operation is added to the output result acquired by passing the output of the third convolution block through a 1×1 convolution with the channel number of D, and the initial feature map F0 is acquired through one 1×1 convolution with the channel number of D.