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Feb, 2020
零样本超分辨率的元转移学习
Meta-Transfer Learning for Zero-Shot Super-Resolution
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Jae Woong Soh, Sunwoo Cho, Nam Ik Cho
TL;DR
本文提出了基于元传递学习的零样本超分辨率,利用泛化的初始参数适合内部学习,能够利用外部和内部信息来适应各种数据条件,从而可以大大减少推理时间。
Abstract
convolutional neural networks
(CNNs) have shown dramatic improvements in single image
super-resolution
(SISR) by using large-scale external samples. Despite their remarkable performance based on the external data
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