Social Distancing AI: Using super-resolution to train an object detection model on low resolution images
This paper addresses the following hypothetical situation: suppose that we want to train an object detection algorithm but that only low resolution data is available. As a tentative solution to this problem, this paper suggest to first super-resolve the low resolution data to obtain higher resolution data that is then fed to the object detection algorithm. Super-resolution is a technique that take
