Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields

30 July 2021

Papers citing "Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields"

9 / 9 papers shown

Title
Video Super-Resolution with Recurrent Structure-Detail Network Takashi Isobe Xu Jia Shuhang Gu Songjiang Li Shengjin Wang Qi Tian SupR 60 213 0 02 Aug 2020
Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution Honey Gupta Kaushik Mitra 55 2 0 13 Mar 2020
Explorable Super Resolution Yuval Bahat T. Michaeli SupR 56 70 0 04 Dec 2019
Densely Residual Laplacian Super-Resolution Saeed Anwar Nick Barnes SupR 75 230 0 28 Jun 2019
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 84 1,443 0 16 Feb 2019
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 185 5,924 0 10 Jul 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks Wenjie Luo Yujia Li R. Urtasun R. Zemel HAI 102 1,803 0 15 Jan 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 340 5,243 0 16 Sep 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 112 6,200 0 14 Nov 2015