| Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution | ✓ Link | 99.16% | SPVCNN-34 | 2020-07-31 |
| KPConv: Flexible and Deformable Convolution for Point Clouds | ✓ Link | 99.54% | KPConv | 2019-04-18 |
| 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks | ✓ Link | 100.00% | MinkUNet-18 | 2019-04-18 |
| Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution | ✓ Link | 100.30% | SPVCNN-18 | 2020-07-31 |
| 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks | ✓ Link | 100.61% | MinkUNet-34 | 2019-04-18 |
| PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud | ✓ Link | 101.20% | PIDS-2.0x | 2022-11-28 |
| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation | ✓ Link | 103.13% | Cylinder3D (torchsparse) | 2020-11-19 |
| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation | ✓ Link | 103.25% | Cylinder3D (spconv) | 2020-11-19 |
| CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving | ✓ Link | 103.41% | CENet (64x2048) | 2022-07-26 |
| PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud | ✓ Link | 104.13% | PIDS-1.2x | 2022-11-28 |
| 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds | ✓ Link | 106.14% | 2DPASS | 2022-07-10 |
| CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation | ✓ Link | 107.34% | CPGNet | 2022-04-21 |
| GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation | ✓ Link | 108.68% | GFNet | 2022-07-06 |
| Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation | ✓ Link | 109.54% | WaffleIron | 2023-01-24 |
| RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation | | 111.74% | RPVNet | 2021-03-24 |
| FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding | ✓ Link | 113.81% | FIDNet (64x2048) | 2021-09-08 |
| SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving | ✓ Link | 116.14% | SalsaNext (64x2048) | 2020-03-07 |
| PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation | ✓ Link | 118.56% | PolarNet | 2020-03-31 |
| RangeNet++: Fast and Accurate LiDAR Semantic Segmentation | ✓ Link | 130.66% | RangeNet-53 (64x2048) | 2019-11-04 |
| RangeNet++: Fast and Accurate LiDAR Semantic Segmentation | ✓ Link | 136.33% | RangeNet-21 (64x2048) | 2019-11-04 |
| SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud | ✓ Link | 152.45% | SqueezeSegV2 (64x2048) | 2018-09-22 |
| SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud | ✓ Link | 164.87% | SqueezeSeg (64x2048) | 2017-10-19 |