论文标题
卷积神经网络及其在对象检测中的应用的研究进度
Research Progress of Convolutional Neural Network and its Application in Object Detection
论文作者
论文摘要
随着计算机性能的改善和数据量的增加，基于卷积神经网络（CNN）的对象检测已成为对象检测的主要算法。本文总结了卷积神经网络及其在物体检测中的应用的研究进度，并着重于分析和讨论应用卷积神经网络以进行对象检测的特定思想和方法，并指出当前的缺陷和未来的发展方向。
With the improvement of computer performance and the increase of data volume, the object detection based on convolutional neural network (CNN) has become the main algorithm for object detection. This paper summarizes the research progress of convolutional neural networks and their applications in object detection, and focuses on analyzing and discussing a specific idea and method of applying convolutional neural networks for object detection, pointing out the current deficiencies and future development direction.
