Lightweight Whole-Body Human Pose Estimation With Two-Stage Refinement Training Strategy
Author:
Affiliation:
1. Department of Electronic Engineering, Tsinghua University, Beijing, China
2. High School Affiliated to Renmin University, Beijing, China
3. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6221037/10418060/10410028.pdf?arnumber=10410028
Reference45 articles.
1. Monocular 3D pose estimation and tracking by detection
2. Cascaded Pyramid Network for Multi-person Pose Estimation
3. Multi-context Attention for Human Pose Estimation
4. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
5. FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration
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1. A feature matching and compensation method based on importance weighting for occluded human pose estimation;Journal of King Saud University - Computer and Information Sciences;2024-06
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