S3DIS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | S3DIS (Area 5) | mIOU79.6 | 799 | |
| Semantic Segmentation | S3DIS (6-fold) | mIoU (Mean IoU)88.1 | 315 | |
| 3D Instance Segmentation | S3DIS (Area 5) | mAP@50% IoU57.8 | 106 | |
| 3D Instance Segmentation | S3DIS (6-fold CV) | Mean Precision @50% IoU84.5 | 92 | |
| Semantic Segmentation | S3DIS | mIoU74.4 | 88 | |
| Semantic Segmentation | S3DIS (test) | mIoU74.5 | 47 | |
| Few-shot 3D Point Cloud Semantic Segmentation | S3DIS v1.2 (Area-5) | mIoU52.27 | 40 | |
| 3D Semantic Segmentation | S3DIS (S0, S1) | mIoU (S0)67.63 | 40 | |
| Instance Segmentation | S3DIS (6-fold CV) | mPrec73.2 | 40 | |
| 3D semantic segmentation | S3DIS Area 5 (test) | mIoU (%)72.2 | 32 | |
| Indoor Scene Segmentation | S3DIS (6-fold val) | mIoU (Category)79.9 | 32 | |
| Semantic segmentation | S3DIS 81 (test) | mAcc71.1 | 30 | |
| Instance Segmentation | S3DIS (Area 5) | mPrec71.1 | 22 | |
| Few-shot 3D point cloud semantic segmentation | S3DIS (Mean across folds) | mIoU50.96 | 20 | |
| 3D Object Detection | S3DIS (val) | AP@0.2580.5 | 20 | |
| 3D Semantic Segmentation | S3DIS | mIoU72.2 | 20 | |
| Semantic segmentation | S3DIS (val) | mIoU73.4 | 20 | |
| 3D Semantic Segmentation | S3DIS (B6/N6) | hIoU65.4 | 19 | |
| 3D Semantic Segmentation | S3DIS (B8/N4) | hIoU4,680 | 19 | |
| 3D Semantic Segmentation | S3DIS (Area 5 test (Fold #1)) | mIoU65.38 | 19 | |
| Semantic Segmentation | S3DIS (5th fold) | Mean IoU70.4 | 19 | |
| 3D Object Detection | S3DIS | mAP@0.2575.4 | 18 | |
| Instance Segmentation | S3DIS Area-5 (val) | mAP5072 | 16 | |
| Semantic Segmentation | S3DIS | Data Efficiency (% Labeled Data)11.4 | 15 | |
| 3D Scene Segmentation | S3DIS v1.2 (k-fold) | mIoU70.6 | 15 |
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