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 |
DOI | 10.1016/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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