Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Object detection in aerial imagery presents a significant challenge due to large scale variations among objects. This paper proposes an evolutionary reinforcement learning agent, integrated within a coarse-to-fine object detection framework, to optimize the scale for more effective detection of objects in such images. Specifically, a set of patches potentially …