GhostSR: Learning Ghost Features for Efficient Image Super-Resolution

21 January 2021

Papers citing "GhostSR: Learning Ghost Features for Efficient Image Super-Resolution"

6 / 6 papers shown

Title
ShiftAddNet: A Hardware-Inspired Deep Network Haoran You Xiaohan Chen Yongan Zhang Chaojian Li Sicheng Li Zihao Liu Zhangyang Wang Yingyan Lin OOD MQ 35 75 0 24 Oct 2020
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 21 153 0 21 Oct 2020
Hierarchical Neural Architecture Search for Single Image Super-Resolution Yong Guo Yongsheng Luo Zhenhao He Jin Huang Jian Chen SupR 41 48 0 10 Mar 2020
Distilling portable Generative Adversarial Networks for Image Translation Hanting Chen Yunhe Wang Han Shu Changyuan Wen Chunjing Xu Boxin Shi Chao Xu Chang Xu 58 83 0 07 Mar 2020
Lightweight Image Super-Resolution with Information Multi-distillation Network Zheng Hui Xinbo Gao Yunchu Yang Xiumei Wang SupR 63 671 0 26 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017