GhostSR: Learning Ghost Features for Efficient Image Super-Resolution

21 January 2021

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

10 / 60 papers shown

Title
Accelerating the Super-Resolution Convolutional Neural Network Chao Dong Chen Change Loy Xiaoou Tang SupR 127 2,982 0 01 Aug 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou MQ 119 2,086 0 20 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 104 6,184 0 14 Nov 2015
Deeply-Recursive Convolutional Network for Image Super-Resolution Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 135 2,505 0 14 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 206 2,985 0 02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 255 8,833 0 01 Oct 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 344 19,643 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 303 3,883 0 19 Dec 2014