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.
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.
#2 best model for Multi-Person Pose Estimation on COCO
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 )
Some of these approaches have also shown that these attacks are feasible in the real-world, i. e. by modifying an object and filming it with a video camera.
We propose a new order preserving bilinear framework that exploits low-resolution video for person detection in a multi-modal setting using deep neural networks.