gfmei / SoftClu
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
β19Updated 2 years ago
Alternatives and similar repositories for SoftClu:
Users that are interested in SoftClu are comparing it to the libraries listed below
- π Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu β¦β45Updated last year
- β24Updated 2 years ago
- β25Updated last year
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).β40Updated last year
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentationβ23Updated 2 years ago
- β27Updated 2 months ago
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"β62Updated last year
- The source code of PRA-Net.β25Updated 3 years ago
- COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)β45Updated 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)β58Updated 2 years ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentationβ¦β64Updated last year
- [ICCV 2023] PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clusteringβ26Updated 5 months ago
- PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)β28Updated last year
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentationβ34Updated 2 years ago
- Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"β35Updated 3 years ago
- [ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentationβ29Updated last year
- [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianβ¦β18Updated last year
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentationβ32Updated 2 years ago
- The official implementation of the method of Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive Object Detectionβ23Updated last year
- β28Updated 6 months ago
- PyTorch DistriubtedDataParallel (DDP) implementation of the CVPR 2022 Paper CrossPoint.β17Updated 2 years ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentationβ49Updated 2 years ago
- Official PyTorch implementation of the ICCV23 paper "Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentatiβ¦β14Updated last year
- Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".β39Updated 6 months ago
- β21Updated last year
- β16Updated last year
- (ICCV 2021) Learning Inner-group Relations on Point Cloudsβ19Updated 3 years ago
- PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentationβ13Updated last year
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]β34Updated 7 months ago
- Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"β37Updated last year