ShellNet:Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statics
1.文章總體概述 這篇文章是最近Iccv2019接收的一篇文章，主要做的工作是提出了一種可以用於直接處理3D空間中的點雲數據的卷積算子ShellConv並基於此設計了一個ShellNet，可以用於分類以及點雲的語義分割。與以往的PointNet系列類似的是，作者提出的結構也是直接輸入原始的點雲座標信息(,爲點的個數)。開篇作者簡要介紹了一些相關的工作，分析了經典的PointNet系列存在的問題，比
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相關文章
- 1. Chained Predictions Using Convolutional Neural Networks
- 2. Fast Face-swap Using Convolutional Neural Networks
- 3. Point Cloud 2019
- 4. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
- 5. 【paper-note5】Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
- 6. Convolutional Neural Networks: Application
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- 8. Relation-Shape Convolutional Neural Network for point cloud analysis
- 9. 論文 | Predicting Mortgage Default Using Convolutional Neural Networks
- 10. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks