Semantic Segmentation on ScanNet v2 (test)
79.4mIoUPTv3
Evaluation Results
| Method | Links | |
|---|---|---|
| PTv3Training Strategy=multi-dataset joint training (PPT)2023.12 | 79.4 | |
| PTv3 + PPTYear=2024, Training Regime=pre-trained2023.12 | 79.4 | |
| PTv3 + PPTYear=2024, Training Status=Pre-trained, Backbone=PTv32023.08 | 79.4 | |
| PPT (sup.)Year=2023, variant=enhanced2025.03 | 79.4 | |
| Masked Scene ModelingBackbone=HUNet, Pre-training=Masked Scene Modeling, Fine-tuning=true2025.04 | 78.5 | |
| MSCBackbone=HUNet, Pre-training=MSC, Fine-tuning=true2025.04 | 78.2 | |
| Mix3DEnsemble voting=true2023.04 | 78.1 | |
| SWIN3Dn-LPre-training strategy=pre-trained, Point Normals=true, Ensemble voting=true, Backbone scale=Large2023.04 | 77.9 | |
| PTv3Training Strategy=trained from scratch2023.12 | 77.9 | |
| Swin3DYear=2023, Training Regime=scratch2023.12 | 77.9 | |
| Swin3D + SupervisedYear=2023, Training Regime=pre-trained2023.12 | 77.9 | |
| PTv3Year=2024, Training Regime=scratch2023.12 | 77.9 | |
| Swin3D + SupervisedYear=2023, Training Status=Pre-trained, Backbone=Swin3D2023.08 | 77.9 | |
| PTv3Year=2024, Training Status=Scratch2023.08 | 77.9 | |
| Swin3DYear=20232025.03 | 77.9 | |
| SupervisedYear=2023, parent_method=Swin3D2025.03 | 77.9 | |
| PTv3Year=20232025.03 | 77.9 | |
| ODIN-Swin-BInput Source=Sensor RGBD Point Cloud, Backbone=Swin-B2024.01 | 77.8 | |
| HUNetBackbone=HUNet, Pre-training=Scratch, Fine-tuning=true2025.04 | 77 | |
| Swin3D-LInput Source=Mesh Sampled Point Cloud2024.01 | 76.7 | |
| OctFormerEnsemble voting=true2023.04 | 76.6 | |
| PointHR#Params=7.1M, FLOPs=10.3G2023.10 | 76.6 | |
| PointHR-LMemory usage (GB)=23.582023.10 | 76.6 | |
| OctFormerTraining Strategy=trained from scratch2023.12 | 76.6 | |
| OctFormerYear=2023, Training Regime=scratch2023.12 | 76.6 | |
| MinkUNet + PPTYear=2024, Training Regime=pre-trained2023.12 | 76.6 | |
| OctFormerYear=2023, Training Status=Scratch2023.08 | 76.6 | |
| MinkUNet + PPTYear=2024, Training Status=Pre-trained, Backbone=MinkUNet2023.08 | 76.6 | |
| OctFormerYear=20232025.03 | 76.6 | |
| PPT (sup.)Year=2023, variant=baseline2025.03 | 76.6 | |
| VMVFInput Source=Rendered RGBD Point Cloud2024.01 | 76.4 | |
| O-CNNEnsemble voting=true2023.04 | 76.2 | |
| OctFormerInput Source=Mesh Sampled Point Cloud2024.01 | 75.7 | |
| GCBackbone=SR-UNet, Pre-training=GC, Fine-tuning=true2025.04 | 75.7 | |
| OA-CNNsYear=2024, Training Regime=scratch2023.12 | 75.6 | |
| OA-CNNsYear=2024, Training Status=Scratch2023.08 | 75.6 | |
| ConDaFormerInput=point, Test-time augmentation (TTA)=true2023.12 | 75.5 | |
| Point Transformer v2Input Source=Mesh Sampled Point Cloud2024.01 | 75.4 | |
| MSCBackbone=SR-UNet, Pre-training=MSC, Fine-tuning=true2025.04 | 75.3 | |
| PTv2Input=point2022.10 | 75.2 | |
| PointTransformerV2# Params(M)=12.8, Input=point, Runtime(ms)=2662022.08 | 75.2 | |
| PointTransformerV2Ensemble voting=true2023.04 | 75.2 | |
| PTv2#Params=11.3M, FLOPs=14.3G2023.10 | 75.2 | |
| PTv2Memory usage (GB)=21.502023.10 | 75.2 | |
| PTv2Input=point, Test-time augmentation (TTA)=true2023.12 | 75.2 | |
| PointConvFormer# Params(M)=9.4, Input=Point, Runtime(ms)=145.52022.08 | 74.9 | |
| PointConvFormerEnsemble voting=true2023.04 | 74.9 | |
| BPNet2023.10 | 74.9 | |
| PointConvFormerYear=2023, Training Regime=scratch2023.12 | 74.9 | |
| PointConvFormerYear=2023, Training Status=Scratch2023.08 | 74.9 | |
| PointConvFormerYear=20232025.03 | 74.9 | |
| Stratified Transformer# Params(M)=18.8, Input=point, Runtime(ms)=1689.32022.08 | 74.7 | |
| Stratified TransformerEnsemble voting=true2023.04 | 74.7 | |
| StraFormer#Params=8.02M, FLOPs=12.4G2023.10 | 74.7 | |
| ConDaFormerInput=point, Test-time augmentation (TTA)=false2023.12 | 74.7 | |
| ODINYear=20242025.03 | 74.4 | |
| Stratified TransformerInput Source=Mesh Sampled Point Cloud2024.01 | 74.3 | |
| SAT2023.01 | 74.2 | |
| PTv2Training Strategy=trained from scratch2023.12 | 74.2 | |
| PTv2Year=2022, Training Regime=scratch2023.12 | 74.2 | |
| PTv2Year=2022, Training Status=Scratch2023.08 | 74.2 | |
| PTv2Year=20222025.03 | 74.2 | |
| PCBackbone=SR-UNet, Pre-training=PC, Fine-tuning=true2025.04 | 74.1 | |
| LargeKernel3DEnsemble voting=true2023.04 | 73.9 | |
| LargeKernelInput=voxel, Test-time augmentation (TTA)=false2023.12 | 73.9 | |
| LargeKernel3DYear=2023, Training Regime=scratch2023.12 | 73.9 | |
| LargeKernel3DYear=2023, Training Status=Scratch2023.08 | 73.9 | |
| LargeKernel3DYear=20232025.03 | 73.9 | |
| CSCBackbone=SR-UNet, Pre-training=CSC, Fine-tuning=true2025.04 | 73.8 | |
| Stratified TransformerInput=point2022.03 | 73.7 | |
| Stratified Transformer2023.01 | 73.7 | |
| StratifiedInput=point, Test-time augmentation (TTA)=false2023.12 | 73.7 | |
| STTraining Strategy=trained from scratch2023.12 | 73.7 | |
| Stratified TransformerYear=2022, Training Regime=scratch2023.12 | 73.7 | |
| Stratified TransformerYear=2022, Training Status=Scratch2023.08 | 73.7 | |
| SratifiedTranformerYear=20222025.03 | 73.7 | |
| MinkowskiNetInput=voxel2022.03 | 73.6 | |
| MinkUNetInput=voxel2022.10 | 73.6 | |
| MinkowskiNet2023.01 | 73.6 | |
| MinkowskiNet42# Params(M)=37.9, Input=Voxel, Runtime(ms)=115.62022.08 | 73.6 | |
| MinkUNet2023.10 | 73.6 | |
| MinkUNetInput=voxel, Test-time augmentation (TTA)=false2023.12 | 73.6 | |
| MinkUNetTraining Strategy=multi-dataset joint training (PPT)2023.12 | 73.6 | |
| MinkUNetYear=2019, Training Regime=scratch2023.12 | 73.6 | |
| MinkUNetYear=2019, Training Status=Scratch2023.08 | 73.6 | |
| SparseUNetYear=20192025.03 | 73.6 | |
| ODIN-ResNet50Input Source=Sensor RGBD Point Cloud, Backbone=ResNet502024.01 | 73.3 | |
| SparseConvNetInput=voxel2022.03 | 72.5 | |
| SparseConvNetInput=voxel2022.10 | 72.5 | |
| SparseConvNet2023.01 | 72.5 | |
| SparseConvNetInput=Voxel2022.08 | 72.5 | |
| SparseCNN2023.10 | 72.5 | |
| SparseConvNetInput=voxel, Test-time augmentation (TTA)=false2023.12 | 72.5 | |
| SparseConvNetYear=2018, Training Regime=scratch2023.12 | 72.5 | |
| SparseConvNetYear=2018, Training Status=Scratch2023.08 | 72.5 | |
| SparseConvNetYear=20182025.03 | 72.5 | |
| SR-UNetBackbone=SR-UNet, Pre-training=Scratch, Fine-tuning=true2025.04 | 72.2 | |
| PointMetaBase-XXLEnsemble voting=true2023.04 | 71.4 | |
| PMeta#Params=19.7M, FLOPs=11.0G2023.10 | 71.4 | |
| PMetaMemory usage (GB)=20.382023.10 | 71.4 |