Pose mask: a model-based augmentation method for 2d pose estimation in classroom scenes using surveillance images

HIGHLIGHTS

  • who: Shichang Liu and colleagues from the School of Computer Science, Shaanxi Normal University, Xi`an, China have published the research work: Pose Mask: A Model-Based Augmentation Method for 2D Pose Estimation in Classroom Scenes Using Surveillance Images, in the Journal: Sensors 2022, 8331 of 23/09/2022
  • what: The authors proposed top-down estimation method that utilized the natural reconstruction capability of missing information of the MAE as an effective occluded image augmentation in estimation task. The focus of this task is to locate the articulation points of the human body, which has . . .

     

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