Image categorization with resource constraints： introduction, challenges and advances

作     者：Jian-Hao LUO Wang ZHOU Jianxin WU 

作者机构：National Key Laboratory for Novel Software Technology Nanjing University Nanjing 210023 China 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2017年第11卷第1期

页      面：13-26页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 08[工学] 080203[工学-机械设计及理论] 070105[理学-运筹学与控制论] 0802[工学-机械工程] 0701[理学-数学] 

基　　金：This research was supported by the National Natural Science Foundation of China (Grant No. 61422203) 

主　　题：image categorization resource constraints,large scale classification deep neural networks 

摘      要：As one of the most classic fields in computer vi- sion, 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. How- ever, most existing algorithms are designed without consider- ation 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 develop- ments 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 algo- rithms. Furthermore, we make an investigation into the re- cent developments of deep neural networks, with a focus on resource constrained deep nets.