MVCNN:Multi-view Convolutional Neural Networks for 3D Shape Recognition
原文鏈接：https://blog.csdn.net/u010167269/article/details/51498927 ICCV 2015:《Multi-view Convolutional Neural Networks for 3D Shape Recognition》，簡稱：MVCNN。 創新點： 用物體的三維數據從不同「視角」所得到的二維渲染圖，作爲原始的訓練數據。用經典、成熟的二維
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相關文章
- 1. ICCV2015_Multi-view Convolutional Neural Networks for 3D Shape Recognition
- 2. GVCNN: Group-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