GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition 1、四個問題 要解決什麼問題？ 3D shape recognition。 用了什麼方法解決？ 採用多視圖（multi-view）的方法。在MVCNN的基礎之上，提出了group-view convolutional neural network（GVC
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- 1. MVCNN:Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 2. ICCV2015_Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 3. 【論文精讀】Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 4. 論文閱讀：Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 5. 3D Convolutional Neural Networks for Human Action Recognition
- 6. 譯：3D Convolutional Neural Networks for Human Action Recognition
- 7. 論文：3D Convolutional Neural Networks for Human Action Recognition
- 8. 3DCNN:3D Convolutional Neural Networks for Human Action Recognition
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相關文章
- 1. MVCNN:Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 2. ICCV2015_Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 3. 【論文精讀】Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 4. 論文閱讀：Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 5. 3D Convolutional Neural Networks for Human Action Recognition
- 6. 譯：3D Convolutional Neural Networks for Human Action Recognition
- 7. 論文：3D Convolutional Neural Networks for Human Action Recognition
- 8. 3DCNN:3D Convolutional Neural Networks for Human Action Recognition
- 9. Convolutional Neural Networks for Speech Recognition///2014
- 10. Convolutional Neural Networks for Visual Recognition