PointNet:Deep Learining on Point Sets for 3D Classification and Segmentation 論文解析
一. Abstract 二.Introduction 三.Related Work 四.Deep Learning on Point Sets 五.Theoretical Analysis 六.Experiment 一.Abstract 1.首先點雲是一種重要幾何數據結構的類型。html 2.以往處理點雲的方法： 鑑於點雲的不規則形式能夠將點雲轉換爲3D體素網格或者圖片集。web 3.存在的缺點：
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相關文章
- 1. 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. 論文閱讀：PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 4. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation解析(PointNet模型)
- 5. 《PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation》點網解析
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- 9. 《PointNet：Deep Learning on Point Sets for 3D Classification and Segmentation》中文翻譯
- 10. 2020.09.27讀 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation