A synergistical attention model for semantic segmentation of remote sensing images

HIGHLIGHTS

• who: Xin Li and collaborators from the (UNIVERSITY) have published the research: A Synergistical Attention Model for Semantic Segmentation of Remote Sensing Images, in the Journal: (JOURNAL)
• what: To jointly model both spatial and channel affinity the authors design a synergistic attention module (SAM) which allows for channel-wise affinity extraction while preserving spatial details. The authors propose a synergistic attention perception neural network (SAPNet) for the semantic segmentation of remote sensing images. To address these issues, the authors propose a SAM that releases attention bias by synergistically modelling contextual affinity in a single attention . . .
  

   

  

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