EML-NET: An Expandable Multi-Layer NETwork for Saliency Prediction【论文笔记】
很久没看论文了，炼丹炼的我走火入魔，只能打出一波GG。 先看这篇论文网络结构： 思路很清晰，横线上半部分，称为编码阶段，单独训练已经预训练的DenseNet 和NasNet两个深度网络网络，输出为最后一层的输出，经过1x1卷积之后得到。横线下半部分，成为解码阶段，用之前训练的几个网络，利用多级特征，DenseNet有四层，NasNet有三层，总共七层，然后分别1x1得到七个feature map
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相关文章
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