論文閱讀：Volumetric and Multi-View CNNs for Object Classification on 3D Data
Preface 最近由於要做正頜手術中術後變形預測的問題，要處理三維數據，所以在研究三維卷積，三維分類的問題。 今天閱讀一篇CVPR2016的論文：《Volumetric and Multi-View CNNs for Object Classification on 3D Data》。 這裏是Paper Homepage 這裏是Paper Code Abstract 現在對於
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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. 3D Shape Retrieval using Volumetric and Image CNNs: A Meta Algorithmic Approach閱讀筆記
- 3. PointNet:Deep Learining on Point Sets for 3D Classification and Segmentation 論文解析
- 4. 【論文閱讀】Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
- 5. 3D Machine Learning Single Object Classification
- 6. 【論文閱讀筆記】PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- 7. 論文閱讀筆記（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 8. 【論文閱讀】2017-Segmentation-Based Classification for 3D PointClouds in the Road Environment
- 9. 論文閱讀：Learning Data Augmentation Strategies for Object Detection
- 10. CVPR2017_PointNet_ Deep Learning on Point Sets for 3D Classification and Segmentation