Image categorization with resource constraints: introduction, challenges and advances

doi:10.1007/s11704-016-5514-6

Frontiers of Computer Science

2017, Vol. 11

Issue (1): 13-26 https://doi.org/10.1007/s11704-016-5514-6

本期目录

Image categorization with resource constraints: introduction, challenges and advances

Jian-Hao LUO,Wang ZHOU,Jianxin WU(

)

National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China

全文: PDF(791 KB)

Abstract：

As one of the most classic fields in computer vision, image categorization has attracted widespread interests. Numerous algorithms have been proposed in the community, and many of them have advanced the state-of-the-art. However, most existing algorithms are designed without consideration for the supply of computing resources. Therefore, when dealing with resource constrained tasks, these algorithms will fail to give satisfactory results. In this paper, we provide a comprehensive and in-depth introduction of recent developments of the research in image categorization with resource constraints. While a large portion is based on our own work, we will also give a brief description of other elegant algorithms. Furthermore, we make an investigation into the recent developments of deep neural networks, with a focus on resource constrained deep nets.

Key words： image categorization resource constraints large scale classification deep neural networks

收稿日期: 2015-11-28 出版日期: 2017-01-11

Corresponding Author(s): Jianxin WU

引用本文:

. [J]. Frontiers of Computer Science, 2017, 11(1): 13-26.
Jian-Hao LUO,Wang ZHOU,Jianxin WU. Image categorization with resource constraints: introduction, challenges and advances. Front. Comput. Sci., 2017, 11(1): 13-26.

链接本文:

https://academic.hep.com.cn/fcs/CN/10.1007/s11704-016-5514-6
https://academic.hep.com.cn/fcs/CN/Y2017/V11/I1/13

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