期刊
NEUROCOMPUTING
卷 187, 期 -, 页码 27-48出版社
ELSEVIER
DOI: 10.1016/j.neucom.2015.09.116
关键词
Deep learning; Computer vision; Developments; Applications; Trends; Challenges
资金
- Leiden University [2006002026]
- National University of Defense Technology [61571453]
- NWO [642.066.603]
- NVIDIA Corporation [NV72915]
Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently, numerous deep learning algorithms have been proposed to solve traditional artificial intelligence problems. This work aims to review the state-of-the-art in deep learning algorithms in computer vision by highlighting the contributions and challenges from over 210 recent research papers. It first gives an overview of various deep learning approaches and their recent developments, and then briefly describes their applications in diverse vision tasks, such as image classification, object detection, image retrieval, semantic segmentation and human pose estimation. Finally, the paper summarizes the future trends and challenges in designing and training deep neural networks. (C) 2015 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据