Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques

20 March 2020

Papers citing "Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques"

7 / 7 papers shown

Title
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution Wei-Sheng Lai Jia-Bin Huang Narendra Ahuja Ming-Hsuan Yang SupR 110 2,435 0 12 Apr 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 73 555 0 11 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 136 1,841 0 11 Apr 2017
On Detecting Adversarial Perturbations J. H. Metzen Tim Genewein Volker Fischer Bastian Bischoff AAML 56 947 0 14 Feb 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 183 8,513 0 16 Aug 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 356 18,300 0 27 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 307 10,149 0 16 Mar 2016