Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

19 April 2022

Papers citing "Self-Calibrated Efficient Transformer for Lightweight Super-Resolution"

7 / 7 papers shown

Title
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Shengyu Chen P. Givi Can Zheng X. Jia AI4CE 34 0 0 31 Dec 2024
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights Moein Heidari Reza Azad Sina Ghorbani Kolahi René Arimond Leon Niggemeier ... Afshin Bozorgpour Ehsan Khodapanah Aghdam A. Kazerouni I. Hacihaliloglu Dorit Merhof 51 7 0 28 Mar 2024
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning Jin Zhu Guang Yang Pietro Lio' ViT MedIm 32 5 0 22 Feb 2023
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 289 3,623 0 24 Feb 2021
Lightweight Image Super-Resolution with Information Multi-distillation Network Zheng Hui Xinbo Gao Yunchu Yang Xiumei Wang SupR 71 867 0 26 Sep 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
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 198 5,176 0 16 Sep 2016