Application of optimized convolution neural network model in mural segmentation

HIGHLIGHTS

  • who: Zhiqiang Chen and colleagues from the Information Technology, SEGi University, Kota Damansara, Malaysia have published the paper: Application of Optimized Convolution Neural Network Model in Mural Segmentation, in the Journal: Applied Computational Intelligence and Soft Computing of 14/04/2022
  • what: The authors focus on the improvement of MC-DM model and the working principle of each part of the model. The encoder module in the model is employed to reduce feature loss and capture higherlevel semantic information, while the decoder module is used to extract details and recover spatial information. Three different image . . .

     

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