Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Pose Estimation On Ochuman

Metrics

Test AP

Validation AP

Results

Performance results of various models on this benchmark

			Paper Title	Repository
ViTPose (ViTAE-G, GT bounding boxes)	93.3	92.8	ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
UniHCP (direct eval)	87.4	-	UniHCP: A Unified Model for Human-Centric Perceptions
RTMPose(RTMPose-l, GT bounding boxes)	80.3	80.5	RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose
BBox-Mask-Pose 2x	48.3	48.6	Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
BUCTD (CID-W32)	47.2	47.7	Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity
HQNet (ViT-L)	45.6	-	You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception
CID (HRNet-W48)	45.0	46.1	Contextual Instance Decoupling for Robust Multi-Person Pose Estimation	-
MaskPose-b	45.0	45.3	Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
MIPNet (HRNet-W48)	42.5	42.0	Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation
HQNet (ResNet-50)	40.0	-	You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception
HRNet-W48	37.2	37.8	Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation
HGG (AE+)	36.0	41.8	Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation	-
ResNet-152	33.3	41.0	Simple Baselines for Human Pose Estimation and Tracking
Associative Embedding+	32.8	40.0	Associative Embedding: End-to-End Learning for Joint Detection and Grouping
RMPE	30.7	38.8	RMPE: Regional Multi-person Pose Estimation
Associative Embedding	29.5	32.1	Associative Embedding: End-to-End Learning for Joint Detection and Grouping
ResNet-50	29.5	32.1	Simple Baselines for Human Pose Estimation and Tracking
TransPose-H	-	62.3	TransPose: Keypoint Localization via Transformer

0 of 18 row(s) selected.

Pose Estimation On Ochuman | SOTA | HyperAI