Multi Person Pose Estimation On Coco

Results

Performance results of various models on this benchmark

Model Name	AP	Paper Title	Repository
DarkPose	0.774	Distribution-Aware Coordinate Representation for Human Pose Estimation	-
G-RMI	0.649	Towards Accurate Multi-person Pose Estimation in the Wild	-
UniPose	0.768	X-Pose: Detecting Any Keypoints	-
PoseFix	-	PoseFix: Model-agnostic General Human Pose Refinement Network	-
Supervising Self-Attention	0.665	Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association	-
RSN	0.792	Learning Delicate Local Representations for Multi-Person Pose Estimation	-
G-RMI*	0.685	Towards Accurate Multi-person Pose Estimation in the Wild	-
CenterGroup	0.714	The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation	-
LitePose-S	-	Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation	-
OpenPifPaf	0.709	OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association	-
Pose Residual Network	0.697	MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network	-
EvoPose2D-L	-	EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer	-
Associative Embedding	0.655	Associative Embedding: End-to-End Learning for Joint Detection and Grouping	-
CPN+	0.730	Cascaded Pyramid Network for Multi-Person Pose Estimation	-
BAPose	0.727	BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations	-

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