Towards Robust Drone Vision in the Wild. (arXiv:2208.12655v1 [cs.CV])

The past few years have witnessed the burst of drone-based applications where
computer vision plays an essential role. However, most public drone-based
vision datasets focus on detection and tracking. On the other hand, the
performance of most existing image super-resolution methods is sensitive to the
dataset, specifically, the degradation model between high-resolution and
low-resolution images. In this thesis, we propose the first image
super-resolution dataset for drone vision. Image pairs are captured by two
cameras on the drone with different …

arxiv cv drone vision