An improved tiered head pose estimation network with self-adjust loss function

HIGHLIGHTS

• who: Xiaoliang Zhu et al. from the National Engineering Research Center of Educational Big Data, Central China Normal University have published the research: An Improved Tiered Head Pose Estimation Network with Self-Adjust Loss Function, in the Journal: Entropy 2022, 974 of /2022/
• what: Based the above studies, a series of advancements are made in with this study, aiming to minimize thethe estimation loss of ahead and activation function , positive findings. To confirm the effectiveness of the proposed approach, in the study , another set of loss functions is developed based on the rotation matrix, as . . .
  

   

  

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