| A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation | May 20, 2024 | 3D Point Cloud Classification3D Shape Classification | —Unverified | 0 |
| Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds | Mar 24, 2024 | 3D Shape Classification | CodeCode Available | 1 |
| Ensemble Quadratic Assignment Network for Graph Matching | Mar 11, 2024 | 3D Shape ClassificationGPU | —Unverified | 0 |
| Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition | Aug 18, 2023 | 3D Shape ClassificationRetrieval | —Unverified | 0 |
| Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds | Jul 27, 2023 | 3D Shape ClassificationInductive Bias | CodeCode Available | 0 |
| Multi-View Representation is What You Need for Point-Cloud Pre-Training | Jun 5, 2023 | 3D geometry3D Object Detection | —Unverified | 0 |
| APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding | Mar 31, 2023 | 3D Part Segmentation3D Semantic Segmentation | —Unverified | 0 |
| ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding | Mar 25, 2023 | 3D Shape ClassificationContrastive Learning | CodeCode Available | 1 |
| Frequency-domain Learning for Volumetric-based 3D Data Perception | Feb 16, 2023 | 3D Shape ClassificationSemantic Segmentation | —Unverified | 0 |
| Robust 3D Shape Classification via Non-Local Graph Attention Network | Jan 1, 2023 | 3D Shape ClassificationClassification | —Unverified | 0 |
