| SPVCNN-34 |
- mean Corruption Error (mCE)
- 99.16%
|
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution 2020-07-31 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| KPConv |
- mean Corruption Error (mCE)
- 99.54%
|
KPConv: Flexible and Deformable Convolution for Point Clouds 2019-04-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 |
| MinkUNet-18 |
- mean Corruption Error (mCE)
- 100.00%
|
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks 2019-04-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |
| SPVCNN-18 |
- mean Corruption Error (mCE)
- 100.30%
|
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution 2020-07-31 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| MinkUNet-34 |
- mean Corruption Error (mCE)
- 100.61%
|
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks 2019-04-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |
| PIDS-2.0x |
- mean Corruption Error (mCE)
- 101.20%
|
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud 2022-11-28 |
코드 1 |
| Cylinder3D (torchsparse) |
- mean Corruption Error (mCE)
- 103.13%
|
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation 2020-11-19 |
코드 1 · 코드 2 |
| Cylinder3D (spconv) |
- mean Corruption Error (mCE)
- 103.25%
|
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation 2020-11-19 |
코드 1 · 코드 2 |
| CENet (64x2048) |
- mean Corruption Error (mCE)
- 103.41%
|
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving 2022-07-26 |
코드 1 · 코드 2 · 코드 3 |
| PIDS-1.2x |
- mean Corruption Error (mCE)
- 104.13%
|
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud 2022-11-28 |
코드 1 |
| 2DPASS |
- mean Corruption Error (mCE)
- 106.14%
|
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds 2022-07-10 |
코드 1 |
| CPGNet |
- mean Corruption Error (mCE)
- 107.34%
|
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation 2022-04-21 |
코드 1 · 코드 2 · 코드 3 |
| GFNet |
- mean Corruption Error (mCE)
- 108.68%
|
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation 2022-07-06 |
코드 1 |
| WaffleIron |
- mean Corruption Error (mCE)
- 109.54%
|
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation 2023-01-24 |
코드 1 |
| RPVNet |
- mean Corruption Error (mCE)
- 111.74%
|
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation 2021-03-24 |
연결 없음 |
| FIDNet (64x2048) |
- mean Corruption Error (mCE)
- 113.81%
|
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding 2021-09-08 |
코드 1 |
| SalsaNext (64x2048) |
- mean Corruption Error (mCE)
- 116.14%
|
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving 2020-03-07 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| PolarNet |
- mean Corruption Error (mCE)
- 118.56%
|
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation 2020-03-31 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| RangeNet-53 (64x2048) |
- mean Corruption Error (mCE)
- 130.66%
|
RangeNet++: Fast and Accurate LiDAR Semantic Segmentation 2019-11-04 |
코드 1 · 코드 2 |
| RangeNet-21 (64x2048) |
- mean Corruption Error (mCE)
- 136.33%
|
RangeNet++: Fast and Accurate LiDAR Semantic Segmentation 2019-11-04 |
코드 1 · 코드 2 |
| SqueezeSegV2 (64x2048) |
- mean Corruption Error (mCE)
- 152.45%
|
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud 2018-09-22 |
코드 1 |
| SqueezeSeg (64x2048) |
- mean Corruption Error (mCE)
- 164.87%
|
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud 2017-10-19 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |