Research map / 3D vision / Human pose estimation
Segmentation-Driven 6D Object Pose Estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| combine local keypoint predictions using confidence-guided fusion instead of using the center-grid prediction alone (ablation) | Segmentation-driven pose estimation · Occluded-LINEMOD | REP-5px: 39.1 -> 44.9 | Helped |
| select the single highest-confidence prediction per keypoint rather than using no fusion (ablation) | Segmentation-driven pose estimation · Occluded-LINEMOD | REP-5px: 39.1 -> 44.0 | Helped |
| use the 10 most confident predictions per keypoint for RANSAC rather than the 2 most confident (ablation) | Segmentation-driven pose estimation · Occluded-LINEMOD | REP-5px: 44.5 -> 44.9 | Helped |
| use local segmentation-guided pose predictions rather than global pose inference | 6D object pose estimation · YCB-Video | ADD-0.1d: 33.6 -> 39.0 | Helped |
| use local segmentation-guided pose predictions rather than global pose inference | 6D object pose estimation · YCB-Video | REP-5px: 23.1 -> 30.8 | Helped |
| use local segmentation-guided pose predictions rather than the strongest listed baseline | 6D object pose estimation · Occluded-LINEMOD | REP-5px: 43.1 -> 44.9 | Helped |
Closest papers by meaning
- Single-Stage 6D Object Pose Estimation (CVPR 2020 · similarity 0.93)
- OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation (CVPR 2022 · similarity 0.91)
- Open-Vocabulary Object 6D Pose Estimation (CVPR 2024 · similarity 0.88)
- One2Any: One-Reference 6D Pose Estimation for Any Object (CVPR 2025 · similarity 0.88)
- Pos3R: 6D Pose Estimation for Unseen Objects Made Easy (CVPR 2025 · similarity 0.88)
- SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation (CVPR 2024 · similarity 0.88)
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