Pose Estimation On Coco Test Dev

Metrics

AP50

AP75

APL

APM

Results

Performance results of various models on this benchmark

							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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Pose Estimation On Coco Test Dev

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