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论文中是说最后输入1000张特征图，取1000张特征图中的各像素最大值，为啥这个代码要用3通道呢 #115

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jiashihuigithub opened this issue Aug 29, 2019 · 2 comments
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论文中是说最后输入1000张特征图，取1000张特征图中的各像素最大值，为啥这个代码要用3通道呢 #115

jiashihuigithub opened this issue Aug 29, 2019 · 2 comments

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@jiashihuigithub
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annotation_pred = tf.argmax(conv_t3, dimension=3, name="prediction")我看论文中是说最后输入1000张特征图，取1000张特征图中的各像素最大值，为啥这个代码要用3通道呢
@liguanda1997
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迁移学习，fcn就是基于三通道模型下的呀

@zhangyusen123456
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意思是取第三维，就是说类别的那一维中的最大值，而不是每一行/列的最大值

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@zhangyusen123456 @jiashihuigithub @liguanda1997