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siameseCNN和ARC-1有什么明显区别 #1

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BruceLee66 opened this issue Mar 25, 2020 · 1 comment

BruceLee66 commented Mar 25, 2020

看完您的概括，发现siameseCNN除了将最后计算相似度从MLP换成cosine distance，然后在卷积之前少了一层隐藏层，请问为什么会这样做？而且siameseCNN是2014年的论文，而ARC-1是13年的，为什么作者好像都没有和进行比较。

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JepsonWong commented Mar 25, 2020

ARC-1是2014年的论文，论文中提出了ARC-1和ARC-II网络进行比较，指出了ARC-II网络效果更好。

我感觉ARC-1本身就是一种siameseCNN网络；至于最后计算相似度感觉mlp会再次引入非线性。

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