gfmei / SoftCluLinks
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
Sorting:
- π Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu β¦β45Updated last year
- β27Updated 3 years ago
- 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
- The source code of PRA-Net.β27Updated 4 years ago
- PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)β31Updated last year
- β29Updated 2 years ago
- β27Updated last year
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).β43Updated last year
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentationβ¦β70Updated last year
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentationβ39Updated 3 years ago
- β27Updated 9 months ago
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"β63Updated 2 years ago
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentationβ23Updated 3 years ago
- Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021β41Updated 3 years ago
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentationβ34Updated 3 years ago
- COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)β44Updated 2 years ago
- Official implementation of "Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. Xu et al. ICCβ¦β29Updated 2 years ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understandingβ12Updated 2 years ago
- [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentationβ186Updated 2 years ago
- [CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samplesβ31Updated 3 years ago
- β16Updated last year
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).β50Updated last year
- PyTorch DistriubtedDataParallel (DDP) implementation of the CVPR 2022 Paper CrossPoint.β17Updated 2 years ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)β261Updated 2 years ago
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Cloudsβ¦β120Updated last week
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)β161Updated 2 years ago
- [ECCV 2022] Few-shot class incremental learning on 3D point clouid objectsβ30Updated 2 years ago
- π₯(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentationβ97Updated last year
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)β37Updated 2 years ago
- Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmeβ¦β45Updated 2 years ago