关键词: 目标检测, 深度学习, 计算机视觉, 卷积神经网络

Abstract:

Object detection is one of the core tasks in computer vision, which is widely used in intelligent video monitoring, automatic monitoring, industrial detection and other fields. In recent years, with the rapid development of deep learning, the object detection algorithm based on deep convolutional neural network has gradually replaced the traditional object detection algorithm and become the mainstream algorithm in this field. Firstly, the common data sets and performance evaluation indexes of the object detection algorithm are introduced, and then the development of the convolutional neural network is introduced. Then, the two-stage object detection algorithm and the single-stage object detection algorithm are analyzed and compared. Finally, the future development of the object detection algorithm based on the deep convolutional neural network is prospected.

Key words: object detection, deep learning, computer vision, convolutional neural network