| 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 | 5 |
| 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 | 5 |
| PointCutMix: Regularization Strategy for Point Cloud Classification | Jan 5, 2021 | 3D Point Cloud ClassificationClassification | CodeCode Available | 1 | 5 |
| 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 | 5 |
| GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding | Jul 18, 2024 | 3D Point Cloud ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| KPConv: Flexible and Deformable Convolution for Point Clouds | Apr 18, 2019 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud | Dec 20, 2020 | 3D Object Classification3D Part Segmentation | CodeCode Available | 1 | 5 |
| Learning Inner-Group Relations on Point Clouds | Aug 27, 2021 | 3D Classification3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning | Oct 20, 2021 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds | Mar 26, 2021 | 3D Point Cloud ClassificationPoint Cloud Classification | CodeCode Available | 1 | 5 |
