Dynamic Graph CNN for Learning on Point Clouds 2019 論文筆記
DGCNN，繼Pointnet之後點雲特徵提取的又一代表性工作. Pointnet是先在每個點的特徵上各自進行MLP提取(沒有點與點之間的特徵交流),最後使用MAXpool將所有點的特徵融合在一起,得到一個對總體點雲的1024維的特徵描述子,因此可以將Point net作爲點雲全局特徵的提取器. 相比Pointnet,DGCNN則可以對點雲的局部幾何特徵進行提取和利用.DGCNN採用了圖神經網絡對
相關文章
- 1. Dynamic Graph CNN for Learning on Point Clouds 解析
- 2. 【論文筆記】DGCNN：Dynamic Graph CNN for Learning on Point Clouds
- 3. DGCNN (Dynamic Graph CNN for Learning on Point Clouds,動態圖卷積網絡)
- 4. LDGCN: Linked Dynamic Graph CNN: Learning on PointCloud via Linking Hierarchical Features 2019 論文筆記
- 5. Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features 論文筆記 2020-10-06
- 6. 論文閱讀：Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds
- 7. Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
- 8. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 9. Deep Closest Point: Learning Representations for Point Cloud Registration && 2019論文筆記
- 10. USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds 2019 論文筆記
- 更多相關文章...
- • ASP.NET Razor - 標記 - ASP.NET 教程
- • Scala for循環 - Scala教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • Scala 中文亂碼解決
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Dynamic Graph CNN for Learning on Point Clouds 解析
- 2. 【論文筆記】DGCNN：Dynamic Graph CNN for Learning on Point Clouds
- 3. DGCNN (Dynamic Graph CNN for Learning on Point Clouds,動態圖卷積網絡)
- 4. LDGCN: Linked Dynamic Graph CNN: Learning on PointCloud via Linking Hierarchical Features 2019 論文筆記
- 5. Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features 論文筆記 2020-10-06
- 6. 論文閱讀：Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds
- 7. Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
- 8. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 9. Deep Closest Point: Learning Representations for Point Cloud Registration && 2019論文筆記
- 10. USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds 2019 論文筆記