In this paper, we propose a novel regional multi-person pose estimation (RMPE) framework to facilitate pose estimation in the presence of inaccurate human bounding boxes.
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.
#5 best model for Pose Tracking on PoseTrack2017 (using extra training data)
In this paper, we present MultiPoseNet, a novel bottom-up multi-person pose estimation architecture that combines a multi-task model with a novel assignment method.
#4 best model for Multi-Person Pose Estimation on COCO
The rapid improvement of language models has raised the specter of abuse of text generation systems.
This paper proposes a new Generative Partition Network (GPN) to address the challenging multi-person pose estimation problem.
SOTA for Multi-Person Pose Estimation on WAF (AP metric )
To construct an algorithm that can provide robust person detection, we present a dataset with over 8 million images that was produced in a weakly supervised manner.