Details

Autor(en) / Beteiligte

• Li, Bingzhen
• Jiang, Wenzhi
• Gu, Jiaojiao
• Liu, Ke
• Wu, Yangyong

Titel

Research on Convolutional Neural Network in the Field of Object Detection

Ist Teil von

• 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS), 2020, p.820-827

Ort / Verlag

IEEE

Erscheinungsjahr

2020

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• This paper summarizes the research progress of convolution neural networks in the field of target detection in recent years. The development of these convolutional neural networks makes the development of deep learning to a new level. On the basis of consulting data, this paper summarizes the main network structure and working principle of convolutional neural network application in the field of target detection, and focuses on several commonly used convolution neural networks, including AlexNet, VGGNet, GoogLeNet and ResNet, and analyzes their technologies, analyzes their network structure characteristics, and summarizes their respective advantages and disadvantages. And in the last part, it points out the current research situation and the future development direction.