Adaptive aggregate stereo matching network with depth map super-resolution

HIGHLIGHTS

• who: Botao Liu et al. from the Department of Creative Technologies and Product Design, National Taipei University of Business have published the paper: Adaptive Aggregate Stereo Matching Network with Depth Map Super-Resolution, in the Journal: Sensors 2022, 4548 of /2022/
• what: In depth this part, the authors propose a GWD-module (Group-wise cost w whole network. This model divides the training into two parts, and the training process is shown in Figure 8 below: L=uf0e5 u2202i.
• how: The network was evaluated on three datasets scene flow kitti2015 and kitti2012 and . . .
  

   

  

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