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SOTA
姿态估计
Pose Estimation On Coco Test Dev
Pose Estimation On Coco Test Dev
评估指标
AP
AP50
AP75
APL
APM
AR
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AP
AP50
AP75
APL
APM
AR
Paper Title
Repository
ViTPose (ViTAE-G, ensemble)
81.1
95.0
88.2
86.0
77.8
85.6
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
ViTPose (ViTAE-G)
80.9
94.8
88.1
85.9
77.5
85.4
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
UDP-Pose-PSA(384x288)
79.5
93.6
85.9
84.3
76.3
81.9
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
4xRSN-50 (ensemble)
79.2
94.4
87.1
76.1
83.8
84.1
Learning Delicate Local Representations for Multi-Person Pose Estimation
CCM+
78.9
93.8
86
84.5
75
83.6
Towards High Performance Human Keypoint Detection
UDP-Pose-PSA(256x192)
78.9
93.6
85.8
83.6
76.1
81.4
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
4xRSN-50
78.6
94.3
86.6
75.5
83.3
83.8
Learning Delicate Local Representations for Multi-Person Pose Estimation
PCT (256x256)
78.3
92.9
85.9
-
-
-
Human Pose as Compositional Tokens
HRNet-W48+DARK
77.4
92.6
84.6
83.7
73.6
82.3
Distribution-Aware Coordinate Representation for Human Pose Estimation
SwinV2-L 1K-MIM
77.2
-
-
-
-
-
Revealing the Dark Secrets of Masked Image Modeling
HRNet-W48 + extra data
77
92.7
84.5
83.1
73.4
82
Deep High-Resolution Representation Learning for Human Pose Estimation
EvoPose2D-L
76.8
92.5
84.3
82.5
73.5
81.7
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer
SwinV2-B 1K-MIM
76.7
-
-
-
-
-
Revealing the Dark Secrets of Masked Image Modeling
HRNet-W48+UDP
76.5
92.7
84
73.0
82.4
81.6
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
OmniPose (WASPv2)
76.4
92.6
83.7
82.6
72.6
81.2
OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation
HRFormer-B
76.2
92.7
83.8
82.3
72.5
81.2
HRFormer: High-Resolution Transformer for Dense Prediction
MSPN
76.1
93.4
83.8
81.5
72.3
81.6
Rethinking on Multi-Stage Networks for Human Pose Estimation
PPE (ResNeXt-101)
75.7
90.3
76.3
79.5
80.7
-
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation
-
MIPNet
75.7
92.4
83.3
81.2
71.4
80.5
Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation
TransPose-H-A6
75
92.2
82.3
81.1
71.3
-
TransPose: Keypoint Localization via Transformer
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