Ebunet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit

HIGHLIGHTS

• who: Siyuan Shen from the School of Computer Science, Northwestern Polytechnical University, No, Youyi Xilu, Xi`an, Shaanxi, China have published the paper: EBUNet: a fast and accurate semantic segmentation network with lightweight efficient bottleneck unit, in the Journal: (JOURNAL)
• what: The aim of this work is to present an efficient and reliable semantic segmentation method called EBUNet which is aimed at achieving a favorable trade-off between inference speed and prediction accuracy. Initially the authors develop an Efficient Bottleneck Unit (EBU) that employs depth-wise convolution and depth-wise dilated convolution to obtain adequate . . .
  

   

  

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