| Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds | Mar 24, 2024 | 3D Shape Classification | CodeCode Available | 1 |
| ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding | Mar 25, 2023 | 3D Shape ClassificationContrastive Learning | CodeCode Available | 1 |
| MVTN: Learning Multi-View Transformations for 3D Understanding | Dec 27, 2022 | 3D Classification3D Shape Classification | CodeCode Available | 1 |
| PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition | Jul 7, 2022 | 3D Shape Classification3D Shape Recognition | CodeCode Available | 1 |
| Masked Discrimination for Self-Supervised Learning on Point Clouds | Mar 21, 2022 | 3D Shape ClassificationBinary Classification | CodeCode Available | 1 |
| diffConv: Analyzing Irregular Point Clouds with an Irregular View | Nov 29, 2021 | 3D Object Classification3D Point Cloud Classification | CodeCode Available | 1 |
| DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion | Nov 19, 2021 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 |
| PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation | Oct 15, 2021 | 3D Object Classification3D Point Cloud Classification | CodeCode Available | 1 |
| POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDS | Sep 22, 2021 | 3D Point Cloud Classification3D Shape Classification | CodeCode Available | 1 |
| Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds | Sep 1, 2021 | 3D Object Detection3D Point Cloud Classification | CodeCode Available | 1 |
| Learning Equivariant Representations | Dec 4, 2020 | 3D Shape ClassificationGeneral Classification | CodeCode Available | 1 |
| MVTN: Multi-View Transformation Network for 3D Shape Recognition | Nov 26, 2020 | 3D Classification3D Object Retrieval | CodeCode Available | 1 |
| View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis | Jun 1, 2020 | 3D Shape Classification3D Shape Recognition | CodeCode Available | 1 |
| Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions | May 26, 2020 | 3D Shape ClassificationGeneral Classification | CodeCode Available | 1 |
| Deep Learning for 3D Point Clouds: A Survey | Dec 27, 2019 | 3D Object Detection3D Shape Classification | CodeCode Available | 1 |
| 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 |
| 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 |
| 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 |
| Rethinking Rotation Invariance with Point Cloud Registration | Dec 31, 2022 | 3D Shape ClassificationPoint Cloud Registration | —Unverified | 0 |
| LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers | Oct 23, 2022 | 3D Object Detection3D Point Cloud Classification | CodeCode Available | 0 |
