6D Pose Estimation On Linemod

평가 지표

Accuracy

Mean ADD

Mean IoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Accuracy	Mean ADD	Mean IoU	Paper Title	Repository
Single-shot Deep CNN	90.37%	55.95	99.92	Real-Time Seamless Single Shot 6D Object Pose Prediction
HRNet+DSNT+BPnP	99.21%	-	-	End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
PVNet	99%	86.27	-	PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
RePOSE	-	96.1	-	RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
CullNet	97.7%	78.3	-	CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
CDPN	98.1%	89.86	-	CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation	-
BB8	83.9%	43.6	-	BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth
E2E6DoF	-	86.8	-	End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints	-
EPro-PnP-6DoF v2	-	96.36	-	EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
EfficientPose	-	97.35	-	EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach
HRNet (DSNT + BPnP)	-	93.3	-	End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
Keypoint Detector Localization	94.5%	72.6	-	Estimating 6D Pose From Localizing Designated Surface Keypoints
SSD-6D	-	76.3	99.4	SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
Pix2Pose	-	32	-	Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
RNNPose	-	97.37	-	RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization	-
EPro-PnP-6DoF v1	-	95.8	-	EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Augmented Autoencoder	-	28.7	-	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
DPOD	-	95.2	-	DPOD: 6D Pose Object Detector and Refiner
ROPE	-	95.61	-	Occlusion-Robust Object Pose Estimation with Holistic Representation
YOLOv5-6D	-	96.84	-	YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries

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