YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images

arXiv:2404.06180v1 Announce Type: new
Abstract: Detecting objects from aerial images poses significant challenges due to the following factors: 1) Aerial images typically have very large sizes, generally with millions or even hundreds of millions of pixels, while computational resources are limited. 2) Small object size leads to insufficient information for effective detection. 3) Non-uniform object distribution leads to computational resource wastage. To address these issues, we propose YOLC (You Only Look Clusters), an efficient and effective framework that builds on …

abstract aerial arxiv challenges computational cs.cv detection images leads look object objects pixels resources small type