深度学习发展形势下计算机视觉教学内容革新  

Innovation of Computer Vision Teaching Contents Under Development of Deep Learning

作　　者：陈川 陈柘[2] 丁双惠 CHEN Chuan;CHEN Zhe;DING Shuang-hui(Naval Aeronautical University Qingdao Branch, Qingdao 266041, China;School of Information Engineering, Chang'an University, Xi'an 710064, China)

机构地区：[1]海军航空大学青岛分校,山东青岛266041 [2]长安大学信息工程学院,陕西西安710064

出　　处：《计算机与现代化》2020年第6期107-113,共7页Computer and Modernization

基　　金：中央高校教育教学改革专项资金资助项目(300103183061)。

摘　　要：近年来,深度学习理论与应用技术获得了快速发展,其在计算机视觉中的应用日益广泛和深入,在诸多计算机视觉任务中取得了受人注目的成绩,给现有的计算机视觉教学内容带来了不容忽视的影响。在总结深度学习理论在计算机视觉各方面应用现状的基础上,提出计算机视觉教学内容的适应性革新,将深度学习理论融入计算机视觉教学中,更好地体现相关学科理论发展对计算机视觉教学内容变革的促进作用。In recent years,deep learning theory and application technology have achieved rapid development,and its application in computer vision has been increasingly extensive and in-depth.It has made remarkable achievements in many computer vision tasks,and brought significant impacts on the existing computer vision teaching content.On the basis of summarizing the application status of deep learning theory in various aspects of computer vision,this paper proposes adaptive innovation of computer vision teaching content,and integrates deep learning theory into computer vision teaching,so as to better reflect the promotion effects of theoretical development of relevant disciplines on the reform of computer vision teaching content.

关 键 词：深度学习 计算机视觉 教学内容 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]