ScanNet
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Object Detection | ScanNet V2 (val) | mAP@0.2578.1 | 352 | |
| Semantic Segmentation | ScanNet v2 (val) | mIoU79.4 | 288 | |
| Semantic Segmentation | ScanNet v2 (test) | mIoU79.4 | 248 | |
| Semantic Segmentation | ScanNet (val) | mIoU79.7 | 231 | |
| 3D Instance Segmentation | ScanNet V2 (val) | Average AP5096.6 | 195 | |
| 3D Semantic Segmentation | ScanNet v2 (val) | mIoU78.4 | 171 | |
| 3D Instance Segmentation | ScanNet v2 (test) | mAP63.6 | 135 | |
| 3D Object Detection | ScanNet | mAP@0.2577.5 | 123 | |
| Semantic Segmentation | ScanNet Environments 1-10 Sequence Split | mIoU75.7 | 110 | |
| 3D semantic segmentation | ScanNet v2 (test) | mIoU3,390 | 110 | |
| 3D Semantic Segmentation | ScanNet (test) | mIoU78.2 | 105 | |
| 3D Semantic Segmentation | ScanNet (val) | mIoU76.6 | 100 | |
| Depth Estimation | ScanNet | AbsRel0.023 | 94 | |
| Semantic segmentation | ScanNet200 (val) | mIoU40.9 | 74 | |
| 3D Semantic Segmentation | ScanNet v1 (test) | mAcc97.8 | 72 | |
| Object Detection | ScanNet v2 (test) | AP@0.5050 | 70 | |
| 3D instance segmentation | ScanNet hidden v2 (test) | Cabinet AP@0.571.6 | 69 | |
| 3D Object Detection | ScanNet (val) | mAP@0.2577.7 | 66 | |
| Depth Estimation | ScanNet (test) | Abs Rel0.056 | 65 | |
| Monocular Depth Estimation | ScanNet | AbsRel0.97 | 64 | |
| Few-shot 3D Scene Segmentation | ScanNet Avg | mIoU68.07 | 61 | |
| Camera pose estimation | ScanNet | ATE RMSE (Avg.)0.019 | 61 | |
| Few-shot 3D Scene Segmentation | ScanNet S1 | mIoU69.05 | 60 | |
| Few-shot 3D Scene Segmentation | ScanNet S0 | mIoU67.08 | 60 | |
| Semantic Segmentation | ScanNet | mIoU78.5 | 59 |
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