Keypoint Detection On Coco

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Validation AP

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이 벤치마크에서 각 모델의 성능 결과

		Paper Title
Sapiens-2B	82.2	Sapiens: Foundation for Human Vision Models
Sapiens-1B	82.1	Sapiens: Foundation for Human Vision Models
Sapiens-0.6B	81.2	Sapiens: Foundation for Human Vision Models
Sapiens-0.3B	79.6	Sapiens: Foundation for Human Vision Models
Poseur(384x288)	79.6	Poseur: Direct Human Pose Regression with Transformers
UDP-Pose-PSA(384x288)	79.5	Polarized Self-Attention: Towards High-quality Pixel-wise Regression
EvoPose2D-L(512x384)	77.5	EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer
PoseFix(384x288)	77.3	PoseFix: Model-agnostic General Human Pose Refinement Network
AggPose(256x192)	76.4	AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
MIPNet(384x288)	76.3	Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation
HRNet-48(384x288)	76.3	Deep High-Resolution Representation Learning for Human Pose Estimation
HRNet-32	75.8	Deep High-Resolution Representation Learning for Human Pose Estimation
TransPose(256x192)	75.8	TransPose: Keypoint Localization via Transformer
ResNet-50	72.2	Simple Baselines for Human Pose Estimation and Tracking
Pose Residual Network	69.6	MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
Mask R-CNN + NL blocks (4 in head, 1 in backbone)	66.5	Non-local Neural Networks
DarkPose(384x288)	-	Distribution-Aware Coordinate Representation for Human Pose Estimation
4xRSN-50(384×288)	-	Learning Delicate Local Representations for Multi-Person Pose Estimation
PersonLab	-	PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
PNFS	-	Pose Neural Fabrics Search

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Keypoint Detection On Coco

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