| Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor |
1,576 |
|
0 |
0 |
almost 3 years ago |
0 |
|
52 |
mit |
JavaScript |
| Web labeling tool for bitmap images and point clouds |
| loicland/superpoint_graph |
691 |
|
0 |
0 |
almost 3 years ago |
0 |
|
14 |
mit |
Python |
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs |
| xinge008/Cylinder3D |
670 |
|
0 |
0 |
over 3 years ago |
0 |
|
48 |
apache-2.0 |
Python |
| Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral) |
| dvlab-research/Stratified-Transformer |
290 |
|
0 |
0 |
over 3 years ago |
0 |
|
25 |
mit |
Python |
| Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022) |
| drprojects/superpoint_transformer |
276 |
|
0 |
0 |
over 2 years ago |
1 |
October 02, 2023 |
6 |
mit |
Python |
| [ICCV'23] Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer" |
| WXinlong/ASIS |
202 |
|
0 |
0 |
about 7 years ago |
0 |
|
10 |
mit |
Python |
| Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019 |
| drprojects/DeepViewAgg |
195 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
other |
Python |
| [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation" |
| kumuji/mix3d |
184 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
|
Python |
| Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral) |
| nsavinov/semantic3dnet |
178 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
bsd-3-clause |
C++ |
| Point cloud semantic segmentation via Deep 3D Convolutional Neural Network |
| meidachen/STPLS3D |
144 |
|
0 |
0 |
about 3 years ago |
0 |
|
15 |
|
Python |
| 🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral) |
