Global and local attention-based free-form

HIGHLIGHTS

• who: Image, Inpainting and S. M., Nadim Uddin from the College of Information Technology Convergence, Gachon University, Seongnam, Korea have published the research: Global and Local Attention-Based Free-Form, in the Journal: Sensors 2020, 20, 3204 of /2020/
• what: The authors propose two new attention mechanisms namely a mask pruning-based global attention module and a global and local attention module to obtain global dependency information and the local similarity information among the features for refined results. Instead of using a simple encoder-decoder network for the coarse output, the authors design a coarse . . .
  

   

  

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