Dynamic video image segmentation based on dual channel convolutional kernel and multi-frame feature fusion

HIGHLIGHTS

  • who: Ming Lu from the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, School of Information and, Hunan University of Science and Technology, Xiangtan, China, CAS Key Laboratory of have published the research work: Dynamic Video Image Segmentation Based on Dual Channel Convolutional Kernel and Multi-Frame Feature Fusion, in the Journal: (JOURNAL)
  • what: This article proposes a dynamic video image segmentation method based on the DCCK joint MFF algorithms to segment the images of the fire hole of the AEC.
  • how: The dealt image data are obtained from a . . .

     

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