REC-YoloPose: a Lightweight Model for Enhancing Human Pose Estimation Performance in Multi-Scale and Complex Scenes

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Computing Science and Mathematics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcsm.2025.10073104
Primary Topic
Human Pose and Action Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

REC-YoloPose: a Lightweight Model for Enhancing Human Pose Estimation Performance in Multi-Scale and Complex Scenes

Chenyang Shi, Donglin Zhu, William Chen, Changjun Zhou
International Journal of Computing Science and Mathematics
Human Pose and Action Recognition
article

REC-YoloPose: a Lightweight Model for Enhancing Human Pose Estimation Performance in Multi-Scale and Complex Scenes

Chenyang Shi, Donglin Zhu, William Chen, Changjun Zhou
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Computing Science and MathematicsVol. 1(1)
Openalex Percentile: Top 79%
Human Pose and Action Recognition
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