A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network

A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network

Abstract Deep neural networks are used to accurately detect, estimate, and predict human body poses in images or videos through deep learning-based human pose estimation. However, traditional multi-person pose estimation methods face challenges due to partial occlusions and overlaps between multiple...

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Bibliographic Details
Main Authors: Shaobin Cai, Han Xu, Wanchen Cai, Yuchang Mo, Liansuo Wei
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Pose estimation
Attention mechanism
Feature pyramid network
Online Access:https://doi.org/10.1038/s41598-025-00259-0
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https://doi.org/10.1038/s41598-025-00259-0

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