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

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