tsunghan-wu / ReDALLinks
🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu et al. ICCV 2021."
☆45Updated last year
Alternatives and similar repositories for ReDAL
Users that are interested in ReDAL are comparing it to the libraries listed below
Sorting:
- ☆24Updated 2 years ago
- https://arxiv.org/abs/2104.02246 One Thing One Click (CVPR 2021) https://arxiv.org/abs/2303.14727 One Thing One Click++ (Arxiv)☆58Updated 2 years ago
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation☆23Updated 2 years ago
- Official implementation of "Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. Xu et al. ICC…☆28Updated last year
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).☆45Updated last year
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆19Updated 2 years ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆64Updated last year
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation☆35Updated 2 years ago
- ☆28Updated 7 months ago
- Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds☆49Updated 4 years ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆29Updated last year
- Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021)☆18Updated 2 years ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- TensorFlow re-implementation of SQN for weakly supervised segmentation on point clouds.☆12Updated 3 years ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)☆45Updated last year
- ☆16Updated last year
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"☆62Updated last year
- Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud (AAAI 2021)☆16Updated 2 years ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆40Updated last year
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds…☆112Updated last year
- Official PyTorch implementation of the ICCV23 paper "Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentati…☆14Updated last year
- Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)☆151Updated 7 months ago
- Semi-supervised Seam☆26Updated 3 years ago
- The source code of PRA-Net.☆25Updated 3 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆95Updated 2 years ago
- Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segme…☆46Updated 2 years ago
- Superpoint Network for Point Cloud Oversegmentation☆28Updated 3 years ago
- ☆24Updated 2 years ago
- 🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation☆94Updated 9 months ago