BriefGPT.xyz
Jul, 2018
基于参数化图像算子的分离学习
Decouple Learning for Parameterized Image Operators
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Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu...
TL;DR
提出了一种新的解耦学习算法,可以学习运算符参数来动态调整图像运算符的深度网络的权重,并证明这种框架可以成功应用于许多传统的参数化图像运算符。
Abstract
Many different
deep networks
have been used to approximate, accelerate or improve traditional
image operators
, such as image smoothing, super-resolution and denoising. Among these traditional operators, many cont
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