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SOTA
Pose Estimation
Pose Estimation On Ochuman
Pose Estimation On Ochuman
Metrics
Test AP
Validation AP
Results
Performance results of various models on this benchmark
Columns
Model Name
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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Pose Estimation On Ochuman | SOTA | HyperAI