| PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies | Jun 9, 2022 | 3D Classification3D Part Segmentation | CodeCode Available | 3 |
| OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding | May 18, 2023 | 3D Classification3D Shape Representation | CodeCode Available | 2 |
| PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning | Nov 21, 2022 | 3D Classification3D Object Detection | CodeCode Available | 2 |
| ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding | May 14, 2023 | 3D Classification3D Point Cloud Classification | CodeCode Available | 2 |
| ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding | Dec 10, 2022 | 3D Architecture3D Classification | CodeCode Available | 2 |
| AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans | Jul 2, 2024 | 3D ClassificationAlzheimer's Disease Detection | CodeCode Available | 2 |
| M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice Transformer | Jan 1, 2022 | 3D ClassificationClassification | CodeCode Available | 1 |
| Learning SO(3) Equivariant Representations with Spherical CNNs | Nov 17, 2017 | 3D ClassificationData Augmentation | CodeCode Available | 1 |
| MeshWalker: Deep Mesh Understanding by Random Walks | Jun 9, 2020 | 3D Classification3D Object Recognition | CodeCode Available | 1 |
| Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis | Jun 1, 2020 | 3D Classification3D Part Segmentation | CodeCode Available | 1 |
