中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Exploiting spatial relation for fine-grained image classification

文献类型:期刊论文

作者Qi, Lei1,2; Lu, Xiaoqiang1; Li, Xuelong3
刊名Pattern Recognition
出版日期2019-07
卷号91页码:47-55
ISSN号00313203
DOI10.1016/j.patcog.2019.02.007
产权排序1
英文摘要

Fine-Grained Image Classification (FGIC) aims to distinguish the images within a subordinate category. Recently, many FGIC methods have been proposed and huge progress has been made in the aspects of part detection and feature learning for FGIC. However, FGIC still remains a challenging task due to the large intra-class variance and small inter-class variance. To classify fine-grained images accurately, this paper proposes to exploit spatial relation to capture more discriminative details for FGIC. The proposed method contains two core modules: part selection module and representation module. The part selection module utilizes intrinsic spatial relation between object parts to select object part pairs with high discrimination power. The representation module exploits the interaction between object parts to describe the selected part pairs and construct a semantic image representation for FGIC. The proposed method is evaluated on CUB-200-2011 and FGVC-Aircraft datasets. Experimental results show that the classification accuracy of the proposed method can reach 85.5% on CUB-200-2011 and 86.9% on FGVC-Aircraft respectively, which exceed comparison methods obviously. ? 2019 Elsevier Ltd

语种英语
出版者Elsevier Ltd
源URL[http://ir.opt.ac.cn/handle/181661/31270]  
专题西安光学精密机械研究所_光学影像学习与分析中心
通讯作者Lu, Xiaoqiang
作者单位1.The Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China;
2.The University of Chinese Academy of Sciences, Beijing; 100049, China;
3.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an; 710072, China
推荐引用方式
GB/T 7714
Qi, Lei,Lu, Xiaoqiang,Li, Xuelong. Exploiting spatial relation for fine-grained image classification[J]. Pattern Recognition,2019,91:47-55.
APA Qi, Lei,Lu, Xiaoqiang,&Li, Xuelong.(2019).Exploiting spatial relation for fine-grained image classification.Pattern Recognition,91,47-55.
MLA Qi, Lei,et al."Exploiting spatial relation for fine-grained image classification".Pattern Recognition 91(2019):47-55.

入库方式: OAI收割

来源:西安光学精密机械研究所

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