VITA-Group / MLSPLinks
[ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang
☆19Updated 2 years ago
Alternatives and similar repositories for MLSP
Users that are interested in MLSP are comparing it to the libraries listed below
Sorting:
- ☆25Updated 2 years ago
- [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects☆29Updated 2 years ago
- ☆15Updated 4 years ago
- MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)☆21Updated 2 years ago
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆37Updated 2 years ago
- Self-Supervised Learning for Domain Adaptation on Point-Clouds☆91Updated 2 years ago
- This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis☆18Updated 2 years ago
- [ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377☆62Updated last year
- Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022☆26Updated 2 years ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation (ECCV2024)☆14Updated 11 months ago
- Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)☆30Updated 2 years ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆136Updated 9 months ago
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆19Updated 2 years ago
- Official repository of **CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation, ECCV'24**☆12Updated 3 months ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆257Updated 2 years ago
- 🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu …☆45Updated last year
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- Code for ICCV 2023 work "Generalized Few-Shot Point Cloud Segmentation Via Geometric Words"☆12Updated 2 years ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 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)☆58Updated 2 years ago
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"☆63Updated 2 years ago
- Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021☆41Updated 3 years ago
- Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)☆79Updated 3 years ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆12Updated last year
- ☆19Updated last year
- (NeurlPS 2022) Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection☆58Updated 2 years ago
- ☆26Updated 2 years ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆129Updated 2 years ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated last year