3D 點雲識別: Geometric Feedback Network for Point Cloud Classification
Geometric Feedback Network for Point Cloud Classification 用於點雲分類的幾何特徵反饋網絡 2019/12/2 arXiv 摘要 As the basic task of point cloud learning, classification is fundamental but always challenging. 分類任務作爲點雲學習
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相關文章
- 1. 3D 點雲識別: Geometric Feedback Network for Point Cloud Classification
- 2. 【點雲識別】PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding (ECCV 2020)
- 3. 3D點雲網絡：PointNet:Deep Learning on Point Sets for 3D Classification and Segmentation
- 4. 【點雲識別】Adaptive Hierarchical Down-Sampling for Point Cloud Classification(CVPR 2020)
- 5. A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION
- 6. 讀論文 3D Point Cloud Classification using 3D Modified Fisher Vector Representation for CNN
- 7. 3d fully convolutional network for vehicle detection in point cloud
- 8. [點雲識別]-SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel
- 9. PF-Net: Point Fractal Network for 3D Point Cloud Completion 2020 論文筆記
- 10. 03 PF-Net: Point Fractal Network for 3D Point Cloud Completion