zouzhenhong98 / SensatUrban-BEV-Seg3D
An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.
☆72Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for SensatUrban-BEV-Seg3D
- The 2nd solution (68.1 mIoU) for 1st Urban3D challenge.☆26Updated 2 years ago
- SQN in Tensorflow (ECCV'2022)☆103Updated last year
- 🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation☆87Updated 3 months ago
- ☆10Updated 11 months ago
- Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)☆144Updated 2 weeks ago
- Pytorch version of RandLA-Net for S3DIS and Semantickitti☆31Updated 4 months ago
- Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)☆122Updated 2 years ago
- U-Next☆11Updated 10 months ago
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds…☆104Updated last year
- Improved pytorch implementation of RandLA (https://arxiv.org/abs/1911.11236) with easier transferability and reproductibility☆14Updated 2 years ago
- [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving☆103Updated last year
- [ICRA 2024] PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene☆22Updated 9 months ago
- RandLA-Net改进版☆38Updated 2 years ago
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)☆106Updated last year
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆52Updated last year
- a large-scale building facade point clouds☆18Updated 2 years ago
- An official implementation for APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds☆9Updated 9 months ago
- Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"☆75Updated 2 weeks ago
- ☆45Updated 3 years ago
- Improving performance of deep learning models for 3D point cloud semantic segmentation via attention mechanisms☆16Updated 2 years ago
- ☆20Updated 10 months ago
- Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation".☆21Updated last year
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆50Updated last year
- SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)☆130Updated last year
- 🔥GrowSP in PyTorch (CVPR 2023)☆163Updated last year
- [CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation☆78Updated last year
- ☆14Updated last year
- 三维点云数据集下载sh脚本(目标检测,语义分割, ...)☆16Updated 7 months ago
- PointNet++ semantic segmentation on Swiss3DCities benchmark☆13Updated 3 years ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆61Updated 7 months ago