Benefiting from Multitask Learning to Improve Single Image
Super-Resolution

Benefiting from Multitask Learning to Improve Single Image Super-Resolution

29 July 2019

Mohammad Saeed Rad

Behzad Bozorgtabar

Urs-Viktor Marti

Jean-Philippe Thiran

Papers citing "Benefiting from Multitask Learning to Improve Single Image Super-Resolution"

5 / 5 papers shown

Title
Task-driven single-image super-resolution reconstruction of document scans Maciej Zyrek M. Kawulok SupR 44 1 0 12 Jul 2024
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module Jiayi Zhang Xiaoshan Chen Zhongxi Qiu Mingming Yang Yan Hu Jiang-Dong Liu 37 11 0 17 Nov 2022
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays A. Spahr Behzad Bozorgtabar Jean-Philippe Thiran 11 16 0 19 Feb 2021
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 190 5,173 0 16 Sep 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 440 15,637 0 02 Nov 2015