论文标题

完全卷积的分数缩放

Fully Convolutional Fractional Scaling

论文作者

Soloveitchik, Michael, Werman, Michael

论文摘要

我们引入了完全卷积的分数缩放组件FCF。完全卷积网络可以应用于任何尺寸输入,并且以前不支持非整数缩放。我们的体系结构很简单,具有有效的单层实现。示例和代码实现了三种常见缩放方法的实现。

We introduce a fully convolutional fractional scaling component, FCFS. Fully convolutional networks can be applied to any size input and previously did not support non-integer scaling. Our architecture is simple with an efficient single layer implementation. Examples and code implementations of three common scaling methods are published.

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