Recent Deep Learning Approaches for Object Detection

Abstract

Object detection, a classic problem in computer vision, has been developed for more than 20 years. From the early traditional methods to today's deep learning methods, the accuracy is getting higher and higher, and the speed is getting faster and faster, which is benefit from deep learning and the continuous development of deep neural networks. Although the research on object detection is constantly developing, there are not many reviews on object detection, so this article will review the object detection after the introduction of deep learning. This article will first introduce the history of object detection, and then focus on a systematic introduction to the development of deep learning object detection in recent years, as well as one-stage detector and two-stage detector in anchor-free and anchor-based. The various methods applied in the stage detector will be sorted out, and the potential problems and future development of object detection will also be analyzed.