research
∙
03/31/2023
You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection
In this paper, we introduce a new approach to address the challenge of g...
share
research
∙
04/01/2021
Unsupervised Degradation Representation Learning for Blind Super-Resolution
Most existing CNN-based super-resolution (SR) methods are developed base...
research
∙
04/06/2020
Deformable 3D Convolution for Video Super-Resolution
The spatio-temporal information among video sequences is significant for...
research
∙
12/17/2019
Spatial-Angular Interaction for Light Field Image Super-Resolution
Light field (LF) cameras record both intensity and directions of light r...
research
∙
03/15/2019
Flickr1024: A Dataset for Stereo Image Super-Resolution
With the popularity of dual cameras in recently released smart phones, a...
research
∙
08/23/2017
Fast single image super-resolution based on sigmoid transformation
Single image super-resolution aims to generate a high-resolution image f...
research
∙
06/20/2017
