Image object extraction based on semantic segmentation and label loss

HIGHLIGHTS

• who: Image Object Extraction Based and collaborators from the Key Laboratory of Network System Network Culture, University of Posts Telecommunications, China have published the research: Image Object Extraction Based on Semantic Segmentation and Label Loss, in the Journal: (JOURNAL)
• what: The authors propose a novel model named IOEBSS which includes a fast binary plane pre-processing an improved Deeplab v3+ segmentation model an auxiliary loss function named Label Loss. The earliest research focused on the mapping algorithm, their goal was to get the transparency α corresponding to each pixel. In the first stage, to transform the . . .
  

   

  

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