Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Archit
代碼開源：http://cs.nyu.edu/~deigen/dnl/ 摘要中說，這篇文章是一石三鳥，深度預測，表面估計和語義分析，同樣的網絡結構的三個應用。。。 網絡結構 這個算法結構比較有意思，首先根據整張圖片進行粗提取一個全局的輸出預測，整個結構是取自於[8]，不過創新就是1，更深了，2，又加了一個尺度，輸出尺寸是輸入的一半。3.多通道特徵，而不是將特徵由1傳遞到2（是因爲concat嘛？有
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相關文章
- 1. 00040-Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional
- 2. Predicting Depth,Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Archite
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