wu-zhonghua / RAC-NetLinks
☆16Updated last year
Alternatives and similar repositories for RAC-Net
Users that are interested in RAC-Net are comparing it to the libraries listed below
Sorting:
- PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation (WACV 2024)☆28Updated last year
- 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
- Official code for "Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle" (CVPR 2024)☆26Updated 11 months ago
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation☆23Updated 2 years ago
- 🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu …☆45Updated last year
- ☆23Updated last year
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆41Updated last year
- PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation☆13Updated last year
- 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
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆35Updated 3 weeks ago
- [TMM 2023] Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding☆9Updated last year
- ☆24Updated 2 years ago
- Official PyTorch implementation of DeLA☆54Updated 11 months ago
- ☆28Updated 8 months ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"☆37Updated 2 years ago
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆32Updated last year
- Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud (AAAI 2021)☆16Updated 2 years ago
- COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)☆45Updated last year
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation☆35Updated 2 years ago
- [ICCV 2023] PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering☆26Updated 7 months ago
- GeoSegNet:Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling☆12Updated 2 years ago
- Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"☆15Updated 2 years ago
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds…☆113Updated 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)☆58Updated 2 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆97Updated 2 years ago
- PointNet++ semantic segmentation on Swiss3DCities benchmark☆13Updated 3 years ago
- ☆27Updated 3 months ago