6D Pose Estimation On Linemod 2
Metrics
Accuracy (ADD)
Results
Performance results of various models on this benchmark
Model Name | Accuracy (ADD) | Paper Title | Repository |
|---|---|---|---|
| DenseFusion | 94.3 | DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion | |
| GPV-Pose | - | GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting | |
| PVN3D | 99.4 | PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation | |
| FFB6D | 99.7 | FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation | |
| MaskedFusion | 97.8 | MaskedFusion: Mask-based 6D Object Pose Estimation |
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