WingkeungM / RFFS-Net
Code for "Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification" in ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS Journal Ph & RS).
☆30Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for RFFS-Net
- This is the pytorch implmentation of GACNet on S3DIS.☆11Updated 2 years ago
- U-Next☆11Updated 10 months ago
- PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation (WACV 2024)☆18Updated 8 months ago
- ☆20Updated 10 months ago
- Multi-Modal Fusion Network for Semantic Segmentation☆12Updated last year
- GeoSegNet:Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling☆12Updated last year
- PointNet++ semantic segmentation on Swiss3DCities benchmark☆13Updated 3 years ago
- ☆19Updated last year
- Official implementation of "Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. Xu et al. ICC…☆27Updated last year
- An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.☆72Updated 3 years ago
- ☆10Updated 11 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
- An official implementation for APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds☆9Updated 9 months ago
- 🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu …☆41Updated 7 months ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆86Updated 7 months ago
- 🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation☆87Updated 3 months ago
- A training dataset for semantic segmentation of urban point cloud map for intelligent vehicles☆7Updated last year
- ☆130Updated last year
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation☆22Updated last year
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆50Updated last year
- ☆27Updated 2 years ago
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation☆29Updated 2 years ago
- RandLA-Net改进版☆38Updated 2 years ago
- ☆28Updated last month
- [ICCV 2023] PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering☆18Updated this week
- Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"☆66Updated last year
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆32Updated 8 months ago
- Code for "FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation".☆21Updated last year
- Pytorch version of RandLA-Net for S3DIS and Semantickitti☆31Updated 4 months ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆61Updated 7 months ago