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Exploiting spatial relation for fine-grained image classification
Qi, Lei1,2; Lu, Xiaoqiang1; Li, Xuelong3
Department光学影像学习与分析中心
2019-07
Source PublicationPattern Recognition
ISSN00313203
Volume91Pages:47-55
Contribution Rank1
Abstract

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

DOI10.1016/j.patcog.2019.02.007
Indexed ByEI
Language英语
PublisherElsevier Ltd
EI Accession Number20190806531148
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31270
Collection光学影像学习与分析中心
Corresponding AuthorLu, Xiaoqiang
Affiliation1.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
Recommended Citation
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.
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