An Improved Method of Detecting Infrared Weak and Small Targets Based on Deep Learning

Abstract

The convolution network is a very powerful visual model that can be used to detect objects in an image. Traditional target detection frameworks are generally divided into anchor-based object detector and anchor-free object detector. Among them, SSD is a single-stage anchor-based object detector that can detect objects quickly and efficiently. In order to detect the infrared weak and small objects, we improve the SSD network for our object detection tasks by using an improved backbone network. We use the open UAVs dataset and achieve highly training and testing accuracy in the open dataset.