Deep High-Resolution Network With Double Attention Residual Blocks for Human Pose Estimation

Deep High-Resolution Network With Double Attention Residual Blocks for Human Pose Estimation

To improve the accuracy of human pose estimation, a novel method based on the deep high-resolution network (HRNet) and equipped with double attention residual blocks is proposed. Firstly, the channel attention and spatial attention modules are added to the residual block of feature extraction, resul...

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Bibliographic Details
Main Authors: Zhanqiang Huo, Han Jin, Yingxu Qiao, Fen Luo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Human pose estimation
attention mechanism
residual block
PRAB
Online Access:https://ieeexplore.ieee.org/document/9294093/

Internet

https://ieeexplore.ieee.org/document/9294093/

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