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Fast Image Processing with Fully-Convolutional Networks
時間 2020-12-30
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研究目的 使用CNN模擬傳統圖像處理中的各類算子,加速處理圖像的速度 數據準備 input數據是樣本對集(I,f(I)),I爲各分辨率圖像, f(I)是經過對應算子處理過的結果,即標籤 損失函數 迴歸的均方差損失函數 網絡結構 網絡使用擴張卷積,示意圖中以6層網絡爲例 實際網絡結構如下: 網絡中間層通道數爲w,w>3,dilatation值逐層指數級增加,倒數兩層dilatation爲1。 最後一
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相關文章
1.
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2.
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3.
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