gfmei / SoftCluLinks
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
β20Updated 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
- β28Updated 3 years ago
- β32Updated 2 years ago
- 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
- 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
- PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)β31Updated 2 years ago
- The source code of PRA-Net.β27Updated 4 years ago
- β27Updated 10 months ago
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentationβ23Updated 3 years ago
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentationβ34Updated 3 years ago
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentationβ40Updated 3 years ago
- (ICCV 2021) Learning Inner-group Relations on Point Cloudsβ19Updated 4 years ago
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"β63Updated 2 years ago
- [TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classificationβ30Updated 3 years ago
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).β50Updated last year
- (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Cloudsβ¦β120Updated last month
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understandingβ12Updated 2 years ago
- Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)β154Updated last year
- COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)β45Updated 2 years ago
- β16Updated last year
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)β162Updated 2 years ago
- [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentationβ188Updated 2 years ago
- Official PyTorch implementation of the ICCV23 paper "Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentatiβ¦β15Updated 2 years ago
- π₯(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentationβ97Updated last year
- [ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentationβ29Updated 2 years ago
- [CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samplesβ32Updated 3 years ago
- β27Updated last year
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)β262Updated 2 years ago
- [ICCV 2023] PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clusteringβ36Updated last year