| DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation | ✓ Link | 0.851 | 0.842 | DITR | 2025-03-24 |
| Point Transformer V3: Simpler, Faster, Stronger | ✓ Link | 0.830 | 0.812 | PTv3 + PPT | 2023-12-15 |
| Point Transformer V2: Grouped Vector Attention and Partition-based Pooling | ✓ Link | 0.826 | 0.802 | PTv2 | 2022-10-11 |
| FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation | ✓ Link | 0.825 | 0.790 | FRNet | 2023-12-07 |
| Spherical Transformer for LiDAR-based 3D Recognition | ✓ Link | 0.819 | 0.795 | SphereFormer | 2023-03-22 |
| Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution | ✓ Link | 0.811 | | SPVCNN++ | 2020-07-31 |
| 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds | ✓ Link | 0.81 | | 2DPASS | 2022-07-10 |
| Rethinking Range View Representation for LiDAR Segmentation | | 0.81 | | RangeFormer | 2023-03-09 |
| SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds | ✓ Link | 0.802 | 0.801 | SFPNet | 2024-07-16 |
| Learning 3D Semantic Segmentation with only 2D Image Supervision | | 0.80 | | 2D3DNet | 2021-10-21 |
| []() | | 0.80 | | GU-Net | |
| []() | | 0.80 | | DRINet++: Efficient Voxel-as-point Point Cloud Segmentation | |
| (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network | | 0.78 | | AF2S3Net | 2021-02-08 |
| Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation | ✓ Link | 0.78 | | Cylinder3D++ | 2020-08-04 |
| []() | | 0.78 | | CPFusion | |
| Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution | ✓ Link | 0.77 | | SPVNAS | 2020-07-31 |
| AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation | | 0.77 | | AMVNet | 2020-12-09 |
| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation | ✓ Link | 0.77 | | Cylinder3D+InstanceAug | 2020-11-19 |
| EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation | ✓ Link | 0.77 | | PMF-ResNet50 | 2021-06-21 |
| []() | | 0.76 | | LIFusion | |
| GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation | ✓ Link | 0.76 | | GFNet | 2022-07-06 |
| []() | | 0.75 | | OrangeNet | |
| Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion | ✓ Link | 0.74 | | JS3C-Net | 2020-12-07 |
| []() | | 0.74 | | Open_world_incremental | |
| PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars | | 0.73 | | PolarStream-1 | 2021-06-14 |
| []() | | 0.70 | | DB-Unet | |
| []() | | 0.70 | | Vis-PolarNet | |
| PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation | ✓ Link | 0.69 | | PolarNet | 2020-03-31 |
| []() | | 0.68 | | EfficientLPS | |
| []() | | 0.44 | | Camera-LiDAR Fusion + HTC + Map | |
| Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model | | | 0.806 | Serialized Piont Mamba | 2024-07-17 |
| LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels | ✓ Link | | 0.801 | LSK3DNet | 2024-03-22 |
| Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation | ✓ Link | | 0.791 | WaffleIron | 2023-01-24 |
| OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation | ✓ Link | | 0.789 | OA-CNNs | 2024-03-21 |
| Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training | ✓ Link | | 0.786 | PPT+SparseUNet | 2023-08-18 |
| Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation | | | 0.760 | Point-to-Voxel KD | 2022-06-05 |