szacho / pointcamLinks
Self-supervised adversarial masking for point clouds
☆11Updated 2 years ago
Alternatives and similar repositories for pointcam
Users that are interested in pointcam are comparing it to the libraries listed below
Sorting:
- Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation (ECCV2024)☆14Updated last year
- ☆32Updated 2 years ago
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"☆63Updated 2 years ago
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆39Updated 2 years ago
- Official PyTorch implementation of the ICCV23 paper "Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentati…☆15Updated 2 years ago
- 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
- ☆27Updated last year
- ☆16Updated 2 years ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 3 years ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆48Updated last year
- MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)☆22Updated 2 years ago
- ☆28Updated 3 years ago
- [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects☆32Updated 3 years ago
- Official PyTorch Implementation of the Paper "Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models"☆21Updated 9 months ago
- [ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation☆29Updated 2 years ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆31Updated 2 years ago
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation☆40Updated 3 years ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆43Updated last year
- Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023☆49Updated last year
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆20Updated 2 years ago
- Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".☆38Updated last year
- ☆17Updated 11 months ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated 2 years ago
- ☆12Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆57Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆12Updated 2 years ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆35Updated last year
- ☆49Updated 2 years ago
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆40Updated 3 weeks ago