morrisgreenberg / hdp-pyLinks
Python implementation of Hierarchical Dirichlet Processes
☆11Updated 5 years ago
Alternatives and similar repositories for hdp-py
Users that are interested in hdp-py are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects☆32Updated 2 years ago
- [ICCV 2023] PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering☆34Updated last year
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆19Updated 2 years ago
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆38Updated 2 years ago
- ☆16Updated last year
- Official code for the paper "Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation"☆11Updated 2 years ago
- A curated list of awesome 3D domain adaptation resources☆26Updated 4 years ago
- Implementing DBSCAN using numpy and pytorch☆11Updated 5 years ago
- [AAAI 2022 Oral] Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection☆25Updated 3 years ago
- The source code of PRA-Net.☆27Updated 4 years ago
- [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tian…☆19Updated 2 years ago
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation☆39Updated 3 years ago
- [ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling☆48Updated 2 years ago
- Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning☆25Updated last year
- [CVPR 2025] Learning Class Prototypes for Unified Sparse Supervised 3D Object Detection☆24Updated 8 months ago
- PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)☆31Updated last year
- 🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu …☆45Updated last year
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆31Updated 2 years ago
- (ICCV 2021) Learning Inner-group Relations on Point Clouds☆19Updated 4 years ago
- The official implementation of the method of Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive Object Detection☆24Updated 2 years ago
- ☆30Updated 2 years ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆43Updated last year
- HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation☆13Updated last year
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation☆34Updated 3 years ago
- ☆42Updated last year
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation☆23Updated 3 years ago
- [ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation☆29Updated 2 years ago
- [CVPR2022] This is the official code of "RBGNet: Ray-based Grouping for 3D Object Detection".☆40Updated 2 years ago
- ☆27Updated 10 months ago