PandaSet
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Semantic Segmentation | PandaSet nuScenes source 8 classes (val) | mIoU65.7 | 11 | |
| 3D Object Detection | PandaSet (val) | AP BEV80.3 | 8 | |
| Novel-view synthesis | PandaSet 10 scenes | PSNR27 | 7 | |
| Scene Reconstruction | PandaSet 10 scenes | PSNR29.05 | 7 | |
| Surface Reconstruction | Pandaset static scenes | P->M Error (Seq 23)0.45 | 6 | |
| 3D Object Detection | PandaSet | mAP36.6 | 6 | |
| View Extrapolation (Lane Shift) | PandaSet (test) | FID @ 2m62.15 | 6 | |
| View Interpolation | PandaSet (test) | PSNR27.54 | 6 | |
| Novel View Synthesis | PandaSet Out-of-Domain (val) | PSNR26.27 | 5 | |
| View Synthesis | Pandaset Lane Shift | FID (2m)106.5 | 5 | |
| View Synthesis | Pandaset Interpolation | PSNR27.255 | 5 | |
| Scene Relighting | PandaSet | FID85.4 | 5 | |
| Sky Dome Estimation | PandaSet | Angular Error20.01 | 4 | |
| Perception Quality Evaluation | PandaSet (47 sequences) | FID50.1 | 4 | |
| 3D Object Detection | PandaSet (test) | Precision97.508 | 3 | |
| View Extrapolation | PandaSet | KID0.08 | 3 | |
| Class-agnostic 3D Object Detection | PandaSet 0-80m detection range (test) | BEV AP (IoU=0.3)50.7 | 3 | |
| LiDAR Segmentation | PandaSet (val) | mIoU64 | 3 |
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