卷积神经网络在图像分类和目标检测应用综述

被引：125

作者：

周俊宇

赵艳明

机构：

[1] 中国传媒大学理工学部

来源：

计算机工程与应用 | 2017年 / 13期

关键词：

卷积神经网络; 图像分类; 目标检测;

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算]; TP391.41 [];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ; 080203 ;

摘要：

卷积神经网络具有强大的特征学习能力,随着大数据时代的到来和计算机能力的提升,近年来卷积神经网络在图像识别、目标检测等领域取得了突破性进展,掀起了新的研究热潮。综述卷积神经网络的基本原理,以及其在图像分类、目标检测上的研究进展和典型模型,最后分析了卷积神经网络目前的问题,并展望了未来的发展方向。

引用

页码：34 / 41

页数：8

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