DRCN - Deeply-Recursive Convolutional Network for Image Super-Resolution 讀後感
DRCN 利用了recursive layer（up to 16 recursions）。如果增加了recursion depth，但是沒有增加parameters的數量，而之前說過網路越深，效果一般越好。但實際上，這種網絡不好訓練，所以原文提出了recursive-supervision 和 skip-connection緩解訓練難的問題。 原文沿用了SRCNN的思想，把network拆分了su
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相關文章
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