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作者您好,我看了论文中提到先对原始数据下采样 0.9, 0.8, 0.7, 0.6,作为HR,再对这些数据下采样4倍得到LR,请问这样做是出于什么原因呢?
The text was updated successfully, but these errors were encountered:
是底层视觉中常见的数据增强操作。从SRCNN开始就这么做,不同尺度的相同内容其实包含不同特征(如100100的脸 和 1010的同一张脸)。
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好的明白了,谢谢~
是底层视觉中常见的数据增强操作。从SRCNN开始就这么做,不同尺度的相同内容其实包含不同特征(如100_100的脸 和 10_10的同一张脸)。
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作者您好,我看了论文中提到先对原始数据下采样 0.9, 0.8, 0.7, 0.6,作为HR,再对这些数据下采样4倍得到LR,请问这样做是出于什么原因呢?
The text was updated successfully, but these errors were encountered: