Image semantic segmentation method based on deep fusion network and conditional random field

HIGHLIGHTS

• who: Shuo Wang from the School of Energy and Intelligence Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China have published the research work: Image Semantic Segmentation Method Based on Deep Fusion Network and Conditional Random Field, in the Journal: Computational Intelligence and Neuroscience of 14/05/2022
• what: Based on the above analysis, aiming at the problem of image semantic segmentation with random information in a complex environment, an image semantic segmentation method based on the convolution neural_network and conditional random field is proposed. In the experiment, Cityscapes dataset is used for . . .
  

   

  

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