《PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space》剖析筆記
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 以前很少有人研究深度學習在點集中的應用。PointNet是這方面的先驅。然而，PointNet並不能捕捉到由度量（metric）空間點所產生的局部結構，從而限制了它識別分類精密模型（fine-grained patterns）和對複雜場景的通用
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相關文章
- 1. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space論文解讀
- 2. 2020.10.20讀 PointNet++： Deep Hierarchical Feature Learning on Point Sets in a Metric Space
- 3. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 論文筆記
- 4. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation解析(PointNet模型)
- 5. 2020.09.27讀 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 6. 《PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation》點網解析
- 7. PointNet Deep Learning on Point Sets for 3D Classification and Segmentation
- 8. CVPR2017_PointNet_ Deep Learning on Point Sets for 3D Classification and Segmentation
- 9. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 10. 【論文閱讀筆記】PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation