ScanNet
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | ScanNet v2 (val) | mIoU80.7 | 380 | |
| 3D Object Detection | ScanNet V2 (val) | mAP@0.2578.1 | 361 | |
| Semantic Segmentation | ScanNet (val) | mIoU80.7 | 302 | |
| Semantic Segmentation | ScanNet v2 (test) | mIoU79.4 | 248 | |
| 3D Semantic Segmentation | ScanNet v2 (val) | mIoU78.6 | 230 | |
| 3D Instance Segmentation | ScanNet V2 (val) | Average AP5096.6 | 198 | |
| 3D Semantic Segmentation | ScanNet (val) | mIoU79.4 | 144 | |
| Semantic segmentation | ScanNet200 (val) | mIoU40.9 | 136 | |
| 3D Instance Segmentation | ScanNet v2 (test) | mAP63.6 | 135 | |
| Depth Estimation | ScanNet | AbsRel0.023 | 133 | |
| Camera pose estimation | ScanNet | RPE (t)0.011 | 133 | |
| Novel View Synthesis | ScanNet | PSNR33.42 | 132 | |
| 3D Object Detection | ScanNet | mAP@0.2577.5 | 127 | |
| 3D Semantic Segmentation | ScanNet (test) | mIoU78.2 | 117 | |
| Monocular Depth Estimation | ScanNet | AbsRel0.97 | 111 | |
| Semantic Segmentation | ScanNet Environments 1-10 Sequence Split | mIoU75.7 | 110 | |
| 3D semantic segmentation | ScanNet v2 (test) | mIoU3,390 | 110 | |
| Novel View Synthesis | ScanNet++ | PSNR31.35 | 93 | |
| 3D Instance Segmentation | ScanNet200 (val) | mAP53.7 | 85 | |
| 3D Semantic Segmentation | ScanNet (S0) | mIoU73.15 | 80 | |
| Few-shot 3D Scene Segmentation | ScanNet S1 | mIoU69.05 | 80 | |
| Few-shot 3D Scene Segmentation | ScanNet S0 | mIoU67.08 | 80 | |
| 3D Object Detection | ScanNet (val) | mAP@0.2577.7 | 75 | |
| 3D Semantic Segmentation | ScanNet v1 (test) | mAcc97.8 | 72 | |
| Instance Segmentation | ScanNet200 (val) | mAP@5045.3 | 72 |
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