| 3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning | Sep 24, 2024 | 3D Part Segmentation3D Point Cloud Classification | —Unverified | 0 | 0 |
| Automated Mobile Attention KPConv Networks via A Wide & Deep Predictor | Sep 29, 2021 | 3D Point Cloud ClassificationFeature Engineering | —Unverified | 0 | 0 |
| Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification | Aug 18, 2022 | 3D Point Cloud ClassificationClassification | —Unverified | 0 | 0 |
| A Benchmark Grocery Dataset of Realworld Point Clouds From Single View | Feb 12, 2024 | 3D Point Cloud ClassificationContinual Learning | —Unverified | 0 | 0 |
| Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network | Nov 6, 2018 | 3D Part Segmentation3D Point Cloud Classification | —Unverified | 0 | 0 |
| PointMoment:Mixed-Moment-based Self-Supervised Representation Learning for 3D Point Clouds | Dec 6, 2023 | 3D Point Cloud ClassificationContrastive Learning | —Unverified | 0 | 0 |
| GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation | May 24, 2023 | 3D Point Cloud ClassificationPoint Cloud Classification | —Unverified | 0 | 0 |
| Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification | May 28, 2025 | 3D Point Cloud ClassificationPoint Cloud Classification | —Unverified | 0 | 0 |
| Training or Architecture? How to Incorporate Invariance in Neural Networks | Jun 18, 2021 | 3D Point Cloud ClassificationComputational Efficiency | —Unverified | 0 | 0 |
| 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 | 0 |
