| APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification | May 2, 2022 | 3D Classification3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets | Oct 14, 2024 | 3D Classification3D Object Classification | CodeCode Available | 1 | 5 |
| Parameter-Efficient Person Re-identification in the 3D Space | Jun 8, 2020 | 3D geometry3D Point Cloud Classification | 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 |
| Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning | Jan 3, 2022 | 3D geometry3D Point Cloud Classification | CodeCode Available | 1 | 5 |
| Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds | Mar 8, 2024 | 3D Point Cloud ClassificationAdversarial Attack | CodeCode Available | 1 | 5 |
| Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models | Jun 8, 2021 | 3D Point Cloud ClassificationPoint Cloud 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 |
| KPConv: Flexible and Deformable Convolution for Point Clouds | Apr 18, 2019 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 | 5 |
