| Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification | Aug 18, 2022 | 3D Point Cloud ClassificationClassification | —Unverified | 0 |
| P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting | Aug 4, 2022 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 1 |
| PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies | Jun 9, 2022 | 3D Classification3D Part Segmentation | CodeCode Available | 3 |
| Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training | May 28, 2022 | 3D Object Detection3D Point Cloud Classification | CodeCode Available | 2 |
| PointVector: A Vector Representation In Point Cloud Analysis | May 21, 2022 | 3D Part Segmentation3D Point Cloud Classification | CodeCode Available | 0 |
| Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling | May 20, 2022 | 3D Point Cloud Classification | CodeCode Available | 1 |
| Surface Representation for Point Clouds | May 11, 2022 | 3D Object Detection3D Point Cloud Classification | CodeCode Available | 2 |
| 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 |
| Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding | May 2, 2022 | 3D Point Cloud ClassificationPoint Cloud Classification | —Unverified | 0 |
| Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition | Apr 8, 2022 | 3D Feature Matching3D Point Cloud Classification | CodeCode Available | 1 |
