VITA-Group / MLSP
[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
☆18Updated last year
Alternatives and similar repositories for MLSP:
Users that are interested in MLSP are comparing it to the libraries listed below
- MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)☆21Updated last year
- ☆24Updated 2 years ago
- ☆15Updated 3 years ago
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆31Updated last year
- [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects☆27Updated 2 years ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆29Updated 11 months ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- A curated list of awesome 3D domain adaptation resources☆25Updated 3 years ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆40Updated 8 months ago
- [ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377☆61Updated 9 months ago
- Domain Adaptation on Point Clouds via Geometry-Aware Implicits☆26Updated last year
- Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation (ECCV2024)☆14Updated 4 months ago
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"☆62Updated last year
- 🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu …☆44Updated 11 months ago
- Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022☆25Updated last year
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆19Updated last year
- ☆23Updated 2 years ago
- ☆19Updated 6 months ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆64Updated last year
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆74Updated 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)☆55Updated last year
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated last year
- Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning☆24Updated 7 months ago
- Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)☆77Updated 3 years ago
- Self-Supervised Learning for Domain Adaptation on Point-Clouds☆90Updated 2 years ago
- (NeurlPS 2022) Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection☆57Updated 2 years ago
- ☆27Updated 10 months ago
- ☆25Updated last year
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).☆43Updated 10 months ago