DeepPCO：End-to-End Point Cloud Odometry through Deep ParallelNeural Network 2020 論文筆記
In this paper, we investigate two key issues which impact the performance of PCO using end-to-end deep learning. The first is the representation (encoding) of the point cloud itself. This ranges from
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相關文章
- 1. PF-Net: Point Fractal Network for 3D Point Cloud Completion 2020 論文筆記
- 2. 3DRegNet: A Deep Neural Network for 3D Point Registration 2020論文筆記
- 3. 論文筆記 - Cascaded Refinement Network for Point Cloud Completion - 2020 CVPR
- 4. DeepLO:Geometry-Aware Deep LiDAR Odometry 2019 論文筆記
- 5. Deep Closest Point: Learning Representations for Point Cloud Registration && 2019論文筆記
- 6. 論文筆記：Deep Residual Network
- 7. Understanding Neural Networks Through Deep Visualization 論文筆記
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- 9. PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation 2020 論文筆記
- 10. RS-CNN: Relation-Shape Convolutional Neural Network for Point Cloud Analysis 論文筆記 2020-9-26