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图像场景识别中深度学习方法综述
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作者单位:

河海大学 计算机与信息学院,河海大学 计算机与信息学院

中图分类号:

TP 391.4


Review of the deep learning in image scene recognition
Author:
Affiliation:

College of College of Computer and Information,

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    摘要:

    场景识别是一种用计算机实现人的视觉功能的技术,它的研究目标是使计算机能够对图像或视频进行处理,自动识别和理解图像和视频中的场景信息。由于场景识别技术拥有广泛的应用前景,因此得到了许多关注。随着大数据时代的来临和深度学习的发展,使用深度学习方法解决场景识别问题已经成为场景识别领域未来的发展方向。文章首先概述介绍了场景识别技术的主要研究内容和发展情况,之后阐述了在图像场景识别中深度学习方法的应用情况,然后介绍了一些在图像场景识别中深度学习方法应用的具体的典型案例,同时给出了这几种方法具体的对比与分析。最后给出了文章的结论,总结了当前图像场景识别中使用深度学习方法的发展情况,并且对未来的发展方向给出了一些展望和建议。

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引用本文

宋 杰,孟朝晖.图像场景识别中深度学习方法综述计算机测量与控制[J].,2018,26(1).

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  • 收稿日期:2017-06-21
  • 最后修改日期:2017-07-08
  • 录用日期:2017-07-12
  • 在线发布日期: 2018-02-02
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