Research map / Point clouds / Point cloud classification
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use target-specific feature augmentation with point-driven target proposal and verification | P2B · KITTI tracking | Success: ~10\% | Helped |
| Use target-specific feature augmentation with point-driven target proposal and verification | P2B · KITTI tracking | Precision: ~10\% | Helped |
Closest papers by meaning
- PTTR: Relational 3D Point Cloud Object Tracking With Transformer (CVPR 2022 · similarity 0.89)
- Graph-Based Point Tracker for 3D Object Tracking in Point Clouds (AAAI 2022 · similarity 0.87)
- M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking (AAAI 2024 · similarity 0.86)
- Towards Category Unification of 3D Single Object Tracking on Point Clouds (ICLR 2024 · similarity 0.86)
- Point Transformer V3: Simpler Faster Stronger (CVPR 2024 · similarity 0.86)
- Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition (AAAI 2024 · similarity 0.85)
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