S3DIS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | S3DIS (Area 5) | mIOU79.6 | 1,029 | |
| Semantic Segmentation | S3DIS (6-fold) | mIoU (Mean IoU)88.1 | 344 | |
| 3D Instance Segmentation | S3DIS (Area 5) | mAP@50% IoU82.8 | 120 | |
| Semantic Segmentation | S3DIS | mIoU75.11 | 100 | |
| 3D Instance Segmentation | S3DIS (6-fold CV) | Mean Precision @50% IoU84.5 | 92 | |
| Few-shot 3D Semantic Segmentation | S3DIS (S1) | mIoU79.37 | 67 | |
| Few-shot 3D Semantic Segmentation | S3DIS (S0) | mIoU72.33 | 64 | |
| Few-shot 3D Point Cloud Semantic Segmentation | S3DIS v1.2 (Area-5) | mIoU (S0)62.42 | 56 | |
| Semantic Segmentation | S3DIS (test) | mIoU74.5 | 47 | |
| 3D Few-shot Semantic Segmentation | S3DIS Average | mIoU (%)75.85 | 44 | |
| 3D Semantic Segmentation | S3DIS Area5 | mIoU76 | 41 | |
| Few-shot 3D point cloud semantic segmentation | S3DIS (Mean across folds) | mIoU52.22 | 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 | |
| 3D Semantic Segmentation | S3DIS | mIoU72.2 | 27 | |
| Incremental Few-Shot 3D Segmentation | S3DIS 1.0 (Area 1,2,3,4,6 (base), Area 5 (test)) | mIoU73.62 | 24 | |
| Open-set Point Cloud Semantic Segmentation | S3DIS Manual-10-3 | mIoU61.6 | 23 | |
| Open-set Point Cloud Semantic Segmentation | S3DIS Manual-12-1 | mIoU67.5 | 23 | |
| Instance Segmentation | S3DIS (Area 5) | mPrec71.1 | 22 | |
| Point Cloud Segmentation | S3DIS | Overall Accuracy90.08 | 20 | |
| 3D Object Detection | S3DIS (val) | AP@0.2580.5 | 20 | |
| Semantic segmentation | S3DIS (val) | mIoU73.4 | 20 |
Showing 25 of 104 rows