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Pose Estimation On Ochuman

Métriques

Test AP

Validation AP

Résultats

Résultats de performance de divers modèles sur ce benchmark

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

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