An Improved High-Resolution Network-Based Method for Yoga-Pose Estimation

An Improved High-Resolution Network-Based Method for Yoga-Pose Estimation

In this paper, SEPAM_HRNet, a high-resolution pose-estimation model that incorporates the squeeze-and-excitation and pixel-attention-mask (SEPAM) module is proposed. Feature pyramid extraction, channel attention, and pixel-attention masks are integrated into the SEPAM module, resulting in improved m...

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Bibliographic Details
Main Authors: Jianrong Li, Dandan Zhang, Lei Shi, Ting Ke, Chuanlei Zhang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
human pose estimation
attention mechanism
high-resolution networks
feature pyramids
Online Access:https://www.mdpi.com/2076-3417/13/15/8912

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