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:
- 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
- Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds☆52Updated 4 years ago
- ☆26Updated 2 years ago
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).☆48Updated last year
- ☆29Updated 11 months ago
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆19Updated 2 years ago
- [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation☆182Updated 2 years ago
- ☆16Updated last year
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆159Updated last year
- 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…☆29Updated last year
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆66Updated last year
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆104Updated 2 years ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆12Updated last year
- ☆158Updated 2 years ago
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation☆34Updated 2 years ago
- Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021)☆20Updated 2 years ago
- SQN in Tensorflow (ECCV'2022)☆116Updated 2 years ago
- Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud (AAAI 2021)☆20Updated 2 years ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆29Updated last year
- TensorFlow re-implementation of SQN for weakly supervised segmentation on point clouds.☆13Updated 3 years ago
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds…☆115Updated 2 years ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆42Updated last year
- Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)☆152Updated 10 months ago
- Official code for "Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle" (CVPR 2024)☆30Updated last year
- The source code of PRA-Net.☆27Updated 3 years ago
- PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)☆31Updated last year
- [TIP 2022] SegGroup: Seg-level Supervision for 3D Instance and Semantic Segmentation☆48Updated 2 years ago
- 🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation☆97Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago