Progressive Direction-Aware Pose Grammar for Human Pose Estimation
Author:
Affiliation:
1. Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Zhejiang Lab
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/8423754/10273758/10251415.pdf?arnumber=10251415
Reference60 articles.
1. Deep High-Resolution Representation Learning for Human Pose Estimation
2. RMPE: Regional Multi-person Pose Estimation
3. Deeply Learned Compositional Models for Human Pose Estimation
4. Cascaded Pyramid Network for Multi-person Pose Estimation
5. Online Knowledge Distillation for Efficient Pose Estimation
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