6D Pose Estimation On Linemod

Métriques

Accuracy

Mean ADD

Mean IoU

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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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