Research Article
A Review of Convolutional Neural Network Development in Computer Vision
@ARTICLE{10.4108/eetiot.v7i28.445, author={Hang Zhang}, title={A Review of Convolutional Neural Network Development in Computer Vision}, journal={EAI Endorsed Transactions on Internet of Things}, volume={7}, number={28}, publisher={EAI}, journal_a={IOT}, year={2022}, month={4}, keywords={Convolutional Neural Networks, computer vision, deep learning, IoT}, doi={10.4108/eetiot.v7i28.445} }- Hang Zhang
Year: 2022
A Review of Convolutional Neural Network Development in Computer Vision
IOT
EAI
DOI: 10.4108/eetiot.v7i28.445
Abstract
Convolutional neural networks have made admirable progress in computer vision. As a fast-growing computer field, CNNs are one of the classical and widely used network structures. The Internet of Things (IoT) has gotten a lot of attention in recent years. This has directly led to the vigorous development of AI technology, such as the intelligent luggage security inspection system developed by the IoT, intelligent fire alarm system, driverless car, drone technology, and other cutting-edge directions. This paper first outlines the structure of CNNs, including the convolutional layer, the downsampling layer, and the fully connected layer, all of which play an important role. Then some different modules of classical networks are described, and these modules are rapidly driving the development of CNNs. And then the current state of CNNs research in image classification, object segmentation, and object detection is discussed.
Copyright © 2022 Hang Zhang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
