A universal decoupled training framework for human parsing

HIGHLIGHTS

• who: Yang Li et al. from the School of Information Engineering, Wuhan University of Technology, Wuhan, China have published the Article: A Universal Decoupled Training Framework for Human Parsing, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: Aiming at the above problems, this paper proposes the Decoupled Training framework based on Pixel Resampling, which is a training framework designed for the long-tailed distribution of datasets in the semantic segmentation. The first stage uses the original dataset for normal training, focusing on training the encoder part of the model; the . . .
  

   

  

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