3D Instance Segmentation On S3Dis
Metrics
AP@50
mAP
mCov
mPrec
mRec
mWCov
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AP@50 | mAP | mCov | mPrec | mRec | mWCov |
|---|---|---|---|---|---|---|
| softgroup-for-3d-instance-segmentation-on | 68.9 | 54.4 | 69.3 | 75.3 | 69.8 | 71.7 |
| pointgroup-dual-set-point-grouping-for-3d | 64.0 | - | - | 69.6 | 69.2 | - |
| isbnet-a-3d-point-cloud-instance-segmentation | 70.5 | 60.8 | 74.9 | 77.5 | 77.1 | 76.8 |
| 3d-mpa-multi-proposal-aggregation-for-3d | - | - | - | 66.7 | 64.1 | - |
| superpoint-transformer-for-3d-scene-instance | 69.2 | - | - | 74.0 | 71.1 | - |
| msta3d-multi-scale-twin-attention-for-3d-1 | 70.0 | - | - | 80.6 | 70.1 | - |
| oneformer3d-one-transformer-for-unified-point | 75.8 | 63.0 | - | 82.3 | 74.1 | - |
| learning-object-bounding-boxes-for-3d | - | - | - | 65.6 | 47.6 | - |
| 191209654 | - | - | 54.1 | 66.9 | 53.9 | 58 |
| hierarchical-aggregation-for-3d-instance | - | - | 67.0 | 73.2 | 69.4 | 70.4 |
| partnet-a-recursive-part-decomposition | - | - | - | - | 43.4% | - |
| divide-and-conquer-3d-point-cloud-instance | 70.6 | 59.5 | - | - | - | - |
| saso-joint-3d-semantic-instance-segmentation | - | - | 54.5 | 64.2 | 50.8 | 58.3 |
| top-down-beats-bottom-up-in-3d-instance | 70.4 | 58.1 | - | - | - | - |
| maskgroup-hierarchical-point-grouping-and | 69.9 | - | - | 66.6 | 69.6 | - |
| associatively-segmenting-instances-and | - | - | - | 63.6 | 47.5 | - |
| pointcnn-convolution-on-mathcalx-transformed | - | - | - | - | - | - |
| mask3d-for-3d-semantic-instance-segmentation | 75.5 | 64.5 | - | - | - | - |
| learning-gaussian-instance-segmentation-in | - | - | - | 68.5 | 50.8 | - |
| 3d-instances-as-1d-kernels | - | - | 70.3 | 75.3 | 71.1 | 72.8 |
| instance-segmentation-in-3d-scenes-using | 67.8 | 54.1 | - | 73.5 | 73.4 | - |