SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

ICPR, 2018.

Cited by: 16|Views49
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Abstract:

Single image super resolution is a very important computer vision task, with a wide range of applications. In recent years, the depth of the super-resolution model has been constantly increasing, but with a small increase in performance, it has brought a huge amount of computation and memory consumption. In this work, in order to make the...More

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