From e7a2d369241c8b1f6dcf689aee8b017e82b2f6a0 Mon Sep 17 00:00:00 2001 From: Hobe Date: Thu, 4 Jun 2020 02:01:31 +0000 Subject: [PATCH] git-svn-id: http://newslabx.csie.ntu.edu.tw/svn/Ginger@68 5747cdd2-2146-426f-b2b0-0570f90b98ed --- trunk/RTCSA_SS/02Background.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/trunk/RTCSA_SS/02Background.tex b/trunk/RTCSA_SS/02Background.tex index f066f09..908e761 100644 --- a/trunk/RTCSA_SS/02Background.tex +++ b/trunk/RTCSA_SS/02Background.tex @@ -4,8 +4,8 @@ This section describes background of Super-resolution technique, and the sensors we are using in this work. -\subsection{Background} -\paragraph{Super-Resolution Convolutional Neural Network} +%\subsection{Background} +\subsection{Super-Resolution Convolutional Neural Network} C. Dong et al.~\cite{ChaoDong16} proposed a deep learning method for single image super-resolution (SR). Their method learns how to directly map the low-resolution