tsunghan-wu / ReDAL
π Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu et al. ICCV 2021."
β44Updated last year
Alternatives and similar repositories for ReDAL:
Users that are interested in ReDAL are comparing it to the libraries listed below
- Official implementation of "Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. Xu et al. ICCβ¦β28Updated last year
- https://arxiv.org/abs/2104.02246 One Thing One Click (CVPR 2021) https://arxiv.org/abs/2303.14727 One Thing One Click++ (Arxiv)β57Updated last year
- β23Updated 2 years ago
- Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021)β18Updated 2 years ago
- β16Updated last year
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).β44Updated 10 months ago
- β28Updated 6 months ago
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentationβ32Updated 2 years ago
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentationβ23Updated 2 years ago
- Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Cloudsβ49Updated 4 years ago
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understandingβ19Updated 2 years ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)β29Updated last year
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentationβ¦β64Updated last year
- Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud (AAAI 2021)β15Updated 2 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"β93Updated 2 years ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).β36Updated last year
- COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)β44Updated last year
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"β62Updated last year
- TensorFlow re-implementation of SQN for weakly supervised segmentation on point clouds.β12Updated 3 years ago
- Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)β151Updated 5 months ago
- β27Updated last month
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentationβ31Updated 2 years ago
- [ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentationβ28Updated last year
- PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation (WACV 2024)β28Updated last year
- Semi-supervised Seamβ26Updated 3 years ago
- Official PyTorch implementation of the ICCV23 paper "Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentatiβ¦β14Updated last year
- β25Updated last year
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"β57Updated last year
- The source code of PRA-Net.β25Updated 3 years ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysisβ73Updated 2 years ago