3D Semantic Segmentation
3D Semantic Segmentation is a computer vision task that involves dividing a 3D point cloud or 3D mesh into semantically meaningful parts or regions. The goal of 3D semantic segmentation is to identify and label different objects and parts within a 3D scene, which can be used for applications such as robotics, autonomous driving, and augmented reality.
Papers
Showing 11–20 of 348 papers
All datasetsSemanticKITTIScanNet200DALESKITTI-360ScanNetSensatUrbanToronto-3DPartNetS3DISScribbleKITTISTPLS3DRELLIS-3D Dataset
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | LSK3DNet | test mIoU | 75.6 | — | Unverified |
| 2 | PPT+PTv3 | test mIoU | 75.5 | — | Unverified |
| 3 | UniSeg | test mIoU | 75.2 | — | Unverified |
| 4 | SphereFormer | test mIoU | 74.8 | — | Unverified |
| 5 | DITR | test mIoU | 74.4 | — | Unverified |
| 6 | FRNet | test mIoU | 73.3 | — | Unverified |
| 7 | RangeFormer | test mIoU | 73.3 | — | Unverified |
| 8 | 2DPASS | test mIoU | 72.9 | — | Unverified |
| 9 | PTv2 | test mIoU | 72.6 | — | Unverified |
| 10 | PPT+SparseUNet | val mIoU | 71.4 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DITR | val mIoU | 41.2 | — | Unverified |
| 2 | ODIN | val mIoU | 40.5 | — | Unverified |
| 3 | PTv3 ArKitLabelmaker | val mIoU | 40.3 | — | Unverified |
| 4 | BFANet | val mIoU | 37.3 | — | Unverified |
| 5 | Sonata + PTv3 | val mIoU | 36.8 | — | Unverified |
| 6 | Pamba | val mIoU | 36.3 | — | Unverified |
| 7 | PTv3 + PPT | val mIoU | 36 | — | Unverified |
| 8 | OA-CNNs | val mIoU | 33.3 | — | Unverified |
| 9 | LSK3DNet | val mIoU | 33.1 | — | Unverified |
| 10 | OctFormer | val mIoU | 32.6 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | KPConv | mIoU | 81.1 | — | Unverified |
| 2 | Superpoint Transformer | mIoU | 79.6 | — | Unverified |
| 3 | EyeNet | mIoU | 79.6 | — | Unverified |
| 4 | SuperCluster | mIoU | 77.3 | — | Unverified |
| 5 | PointNet++ | mIoU | 68.3 | — | Unverified |
| 6 | ConvPoint | mIoU | 67.4 | — | Unverified |
| 7 | SPG | mIoU | 60.6 | — | Unverified |
| 8 | PointCNN | mIoU | 58.4 | — | Unverified |
| 9 | ShellNet | mIoU | 57.4 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DA-supervised | miou Val | 64.1 | — | Unverified |
| 2 | CLOUDSPAM | miou Val | 63.6 | — | Unverified |
| 3 | Superpoint Transformer | miou Val | 63.5 | — | Unverified |
| 4 | SuperCluster | miou Val | 62.1 | — | Unverified |
| 5 | DeepViewAgg | miou | 58.3 | — | Unverified |
| 6 | MinkowskiNet | miou | 53.92 | — | Unverified |
| 7 | PointNet++ | miou | 35.66 | — | Unverified |
| 8 | PointNet | miou | 13.07 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | LCPFormer | mIoU | 63.4 | — | Unverified |
| 2 | EyeNet | mIoU | 62.3 | — | Unverified |
| 3 | BEV-Seg3D-Net | mIoU | 61.7 | — | Unverified |
| 4 | KPConv | mIoU | 57.58 | — | Unverified |
| 5 | SCF-Net | mIoU | 55.1 | — | Unverified |
| 6 | SparseConv | mIoU | 42.66 | — | Unverified |
| 7 | SPGraph | mIoU | 37.29 | — | Unverified |
| 8 | TangentConv | mIoU | 33.3 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Superpoint Transformer | mIoU (6-Fold) | 76 | — | Unverified |
| 2 | OneFormer3D | mIoU (Area-5) | 72.4 | — | Unverified |
| 3 | PointTransformerV2 | mIoU (Area-5) | 71.6 | — | Unverified |
| 4 | PointNext | mIoU (Area-5) | 70.5 | — | Unverified |
| 5 | PointTransformer | mIoU (Area-5) | 70.4 | — | Unverified |
| 6 | PVCNN++ | mIoU (6-Fold) | 58.98 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | IGNet | mIoU | 62 | — | Unverified |
| 2 | SSLSS with Cylinder3D | mIoU | 61.3 | — | Unverified |
| 3 | Cylinder3D | mIoU | 57 | — | Unverified |
| 4 | LiM3D | mIoU-1% | 57 | — | Unverified |
| 5 | LiM3D+SDSC | mIoU-1% | 55.8 | — | Unverified |
| 6 | MinkowskiNet | mIoU | 55 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | KpConv | mIOU | 53.73 | — | Unverified |
| 2 | PointCT | mIOU | 53.2 | — | Unverified |
| 3 | MinkowskiNet | mIOU | 51.3 | — | Unverified |
| 4 | SCF-Net | mIOU | 50.65 | — | Unverified |
| 5 | Point transformer | mIOU | 47.64 | — | Unverified |
| 6 | PointNet++ | mIOU | 15.92 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Cylinder3D | mIoU | 40.07 | — | Unverified |
| 2 | SPVCNN | mIoU | 36.78 | — | Unverified |
| 3 | MinkUNet | mIoU | 36.53 | — | Unverified |
| 4 | SphereFormer | mIoU | 33.97 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PointVector-XL | mIoU | 76.5 | — | Unverified |
| 2 | PointMetaBase-XXL | mIoU | 75.8 | — | Unverified |
| 3 | PointNeXt-XL | mIoU | 70.6 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PanopticNDT (10cm) | mIoU | 45.43 | — | Unverified |
| 2 | SemanticNDT (10cm) | mIoU | 44.31 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DITR | mIoU | 73.3 | — | Unverified |
| 2 | vFusedSeg3D | mIoU | 72.46 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | 2D–3D + 3 × 3 × 3 | Mean IoU (test) | 0.45 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Res16UNet14C | F1 | 0.85 | — | Unverified |