计算机工程与应用2017，Vol.53Issue(13)：34-41,8.DOI:10.3778/j.issn.1002-8331.1703-0362
卷积神经网络在图像分类和目标检测应用综述
Application of convolution neural network in image classification and object detection
周俊宇 1赵艳明1
作者信息
- 1. 中国传媒大学 理工学部,北京 100024
- 折叠
摘要
Abstract
Convolutional Neural Network(CNN)has strong ability in finding characteristics of pictures. Recent years, with the arrival of big data era and the development of the computers, CNN has made great breakthrough in the field of image classification, object detection and so on. It has been widely studied in computer vision. This paper summarizes the theory of CNN, as well as the research and typical models on image classification, object detection. Finally, some existing problems in the CNN are analyzed, with forecasting the future development of CNN as well.关键词
卷积神经网络/图像分类/目标检测Key words
Convolutional Neural Network(CNN)/image classification/object detection分类
信息技术与安全科学引用本文复制引用
周俊宇,赵艳明..卷积神经网络在图像分类和目标检测应用综述[J].计算机工程与应用,2017,53(13):34-41,8.
