计算机工程与应用2019，Vol.55Issue(12)：20-36,17.DOI:10.3778/j.issn.1002-8331.1903-0031
深度学习在图像识别中的应用研究综述
Survey of Application of Deep Learning in Image Recognition
摘要
Abstract
As an important technical means in the field of image recognition, deep learning has broad application pros-pects. Carrying out image recognition technology research has important theoretical and practical significance for promoting the development of computer vision and artificial intelligence. The application of deep learning in image recognition gives a review. The origin of deep learning is introduced. Deep learning models such as deep belief network, convolutional neu-ral network, cyclic neural network, generated confrontation network and capsule network are analyzed. The improved models of each deep learning model are compared and analyzed one by one. In this paper, the research results of deep learning in image recognition applications such as face recognition, medical image recognition and remote sensing image classification are summarized. The existing researches are worth discussing. The development trend of deep learning in the field of image recognition is carried out. The discussion points out that the effective use of migration learning technology to identify small sample data, the use of unsupervised learning and semi-supervised learning to identify images, how to effec-tively identify video images and the theoretical significance of the model are further directions in this field.关键词
深度学习/图像识别/卷积神经网络/胶囊网络/迁移学习/非监督学习Key words
deep learning/ image recognition/ convolutional neural network/ capsule network / transfer learning/ unsuper-vised learning分类
信息技术与安全科学引用本文复制引用
郑远攀,李广阳,李晔..深度学习在图像识别中的应用研究综述[J].计算机工程与应用,2019,55(12):20-36,17.基金项目
国家自然科学基金(No.51404216) （No.51404216）
河南省高等学校青年骨干教师资助计划(No.2015GGJS-184) （No.2015GGJS-184）
河南省科技攻关项目(No.152102310374) （No.152102310374）
郑州轻工业大学青年骨干教师资助计划(No.2013XGGJS001) （No.2013XGGJS001）
应急平台信息技术河南省工程实验室开放基金(No.YJ2013005) （No.YJ2013005）
郑州轻工业大学校内科研基金(No.2015XJJY010). （No.2015XJJY010）
