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Sechsdimensionale-Pose-Schätzung mittels RGB
6D Pose Estimation On Linemod
6D Pose Estimation On Linemod
Metriken
Accuracy
Mean ADD
Mean IoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Accuracy
Mean ADD
Mean IoU
Paper Title
RNNPose
-
97.37
-
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization
EfficientPose
-
97.35
-
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach
YOLOv5-6D
-
96.84
-
YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
EPro-PnP-6DoF v2
-
96.36
-
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
RePOSE
-
96.1
-
RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
EPro-PnP-6DoF v1
-
95.8
-
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
ROPE
-
95.61
-
Occlusion-Robust Object Pose Estimation with Holistic Representation
DPOD
-
95.2
-
DPOD: 6D Pose Object Detector and Refiner
HRNet (DSNT + BPnP)
-
93.3
-
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
HybridPose
-
91.3
-
HybridPose: 6D Object Pose Estimation under Hybrid Representations
CDPN
98.1%
89.86
-
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation
PoseCNN + DeepIM
97.5
88.6
-
DeepIM: Deep Iterative Matching for 6D Pose Estimation
E2E6DoF
-
86.8
-
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints
PVNet
99%
86.27
-
PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
CullNet
97.7%
78.3
-
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
SSD-6D
-
76.3
99.4
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
Keypoint Detector Localization
94.5%
72.6
-
Estimating 6D Pose From Localizing Designated Surface Keypoints
Single-shot Deep CNN
90.37%
55.95
99.92
Real-Time Seamless Single Shot 6D Object Pose Prediction
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
Pix2Pose
-
32
-
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
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6D Pose Estimation On Linemod | SOTA | HyperAI