04 PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
PF-Net: Point Fractal Network for 3D Point Cloud Completion 摘要 創新性 思路啓發 網絡結構 幾點思考 參考資料 論文地址：https://arxiv.org/pdf/2002.10876.pdf 代碼地址：https://github.com/liruihui/PointAugment/ 論文類別：三維重建 摘要 作者提出了PointA
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相關文章
- 1. PointAugment: an Auto-Augmentation Framework for Point Cloud Classification 3/21
- 2. A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION
- 3. 3D 點雲識別: Geometric Feedback Network for Point Cloud Classification
- 4. Point Cloud 2019
- 5. [Point Cloud] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 論文解讀
- 6. 【點雲識別】Adaptive Hierarchical Down-Sampling for Point Cloud Classification(CVPR 2020)
- 7. 讀論文 3D Point Cloud Classification using 3D Modified Fisher Vector Representation for CNN
- 8. Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
- 9. Deep Learning on Point Sets for 3D Classification and Segmentation
- 10. 【論文整理】Point Cloud Dataset