[Point Cloud] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 論文解讀
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (CVPR 2017) 須要解決的問題：設計了一種新的能夠直接處理點雲，而且與點雲輸入順序無關的網絡，該網絡模型能夠用於處理物體分類、場景分割和場景語義分析。 這個問題的難點：點雲格式是不規則的格式，以前有方法嘗試轉化成體素或者圖像來分析。htm
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相關文章
- 1. 論文閱讀：PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 2. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 論文筆記
- 3. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation解析(PointNet模型)
- 4. Deep Learning on Point Sets for 3D Classification and Segmentation
- 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. PointNet Deep Learning on Point Sets for 3D Classification and Segmentation
- 9. [論文解讀+復現] 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