Meta agent teaming active learning for pose estimation

J Gong, Z Fan, Q Ke, H Rahmani… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
The existing pose estimation approaches often require a large number of annotated images
to attain good estimation performance, which are laborious to acquire. To reduce the human …
Save Cite Cited by 43 Related articles View as HTML

Meta Agent Teaming Active Learning for Pose Estimation

J Gong, Z Fan, Q Ke, H Rahmani… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
The existing pose estimation approaches often require a large number of annotated images
to attain good estimation performance, which are laborious to acquire. To reduce the human …
Cite

[CITATION][C] Meta Agent Teaming Active Learning for pose estimation

J Gong, Z Fan, Q Ke, H Rahmani… - IEEE Conference on …, 2022 - research.monash.edu
Meta Agent Teaming Active Learning for pose estimation - Monash University Skip to main
navigation Skip to search Skip to main content Monash University Home Monash University …
Cite

Meta Agent Teaming Active Learning for Pose Estimation

J Gong, Z Fan, Q Ke, H Rahmani, J Liu - 2022 IEEE/CVF Conference …, 2022 - computer.org
The existing pose estimation approaches often require a large number of annotated images
to attain good estimation performance, which are laborious to acquire. To reduce the human …
Cite