Model Zoo
1. Indoor semantic segmentation
| Model | Benchmark | Additional Data | Num GPUs | Val mIoU | Config | Tensorboard | Exp Record |
|---|---|---|---|---|---|---|---|
| PTv3 | ScanNet | ✗ | 4 | 77.6% | link | link | link |
| PTv3 + PPT | ScanNet | ✓ | 8 | 78.5% | link | link | link |
| PTv3 | ScanNet200 | ✗ | 4 | 35.3% | link | link | link |
| PTv3 + PPT | ScanNet200 | ✓ (f.t.) | 4 | ||||
| PTv3 | S3DIS (Area5) | ✗ | 4 | 73.6% | link | link | link |
| PTv3 + PPT | S3DIS (Area5) | ✓ | 8 | 75.4% | link | link | link |
2. Outdoor semantic segmentation
| Model | Benchmark | Additional Data | Num GPUs | Val mIoU | Config | Tensorboard | Exp Record |
|---|---|---|---|---|---|---|---|
| PTv3 | nuScenes | ✗ | 4 | 80.3 | link | link | link |
| PTv3 + PPT | nuScenes | ✓ | 8 | ||||
| PTv3 | SemanticKITTI | ✗ | 4 | ||||
| PTv3 + PPT | SemanticKITTI | ✓ | 8 | ||||
| PTv3 | Waymo | ✗ | 4 | 71.2 | link | link | link (log only) |
| PTv3 + PPT | Waymo | ✓ | 8 |
- Model weights trained with Waymo Open Dataset cannot be released due to the regulations.