| Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders | Dec 17, 2023 | 3D Point Cloud ClassificationFew-Shot 3D Point Cloud Classification | CodeCode Available | 1 |
| Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning | Sep 25, 2023 | 3D Point Cloud ClassificationDecoder | CodeCode Available | 1 |
| Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models | Apr 14, 2023 | 3D Parameter-Efficient Fine-Tuning for Classification3D Point Cloud Classification | CodeCode Available | 1 |
| GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning | Apr 12, 2023 | Computational EfficiencyFew-Shot 3D Point Cloud Classification | CodeCode Available | 1 |
| A Closer Look at Few-Shot 3D Point Cloud Classification | Mar 31, 2023 | 3D Point Cloud ClassificationFew-Shot 3D Point Cloud Classification | CodeCode Available | 1 |
| Point2Vec for Self-Supervised Representation Learning on Point Clouds | Mar 29, 2023 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 |
| Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining | Feb 5, 2023 | 3D Point Cloud Classification3D Point Cloud Linear Classification | CodeCode Available | 1 |
| Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? | Dec 16, 2022 | 3D Point Cloud ClassificationFew-Shot 3D Point Cloud Classification | CodeCode Available | 1 |
| Masked Discrimination for Self-Supervised Learning on Point Clouds | Mar 21, 2022 | 3D Shape ClassificationBinary Classification | CodeCode Available | 1 |
| Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling | Nov 29, 2021 | 3D Point Cloud Classification3D Point Cloud Linear Classification | CodeCode Available | 1 |
