Special section on biologically inspired image processing challenges and future directions

HIGHLIGHTS

• who: CHALLENGES et al. from the of Computer Science Software Engineering, Shenzhen University, Shenzhen, China have published the research: SPECIAL SECTION ON BIOLOGICALLY INSPIRED IMAGE PROCESSING CHALLENGES AND FUTURE DIRECTIONS, in the Journal: (JOURNAL)
• what: Instead of singling out the temporal maps the authors propose a end-to-end model 3D residual convolutional neural network (3D-ResNet) which incorporates the of spatial temporal maps into one single process. The authors propose a new end-to-end video saliency prediction model base on 3D-ResNet for data-driven spatiotemporal feature representation.
• how: To address . . .
  

   

  

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