Super-Resolution for Image Recognition: Enhancing Task Performance by Restoring Task-Relevant High-Frequency Details

The core message of this article is to develop a comprehensive framework, named Super-Resolution for Image Recognition (SR4IR), that effectively guides the generation of super-resolved (SR) images beneficial to achieving satisfactory performance in various image recognition tasks, such as semantic segmentation, object detection, and image classification.