CASIA OpenIR
Dynamic Feature Combination by Agreement for Image Classification
Li,Chenghua1; Wang,Wanguo2; Liu,Linzhi1,3; Liang,Tian1,3
Source PublicationJournal of Physics: Conference Series
ISSN1742-6588
2020-09-01
Volume1631Issue:1
AbstractAbstract Image classification is a basic and important task in computer vision. Recently, various neural networks have been designed and proved to be very powerful models for image classification. It is natural for thinking of how to gather their strengths together, which refers to feature combination tasks. Traditional combination methods mainly focus on designing specific combination algorithms to achieve higher performance. However, few works consider how to utilize their agreement on a given target (for example, a specific class) to achieve better combinations. This paper presents a novel dynamic feature combination method (DFCA) for image classification problems based on the agreement of the individual features. DFCA promisingly takes the agreement of not only the commonalities, but also the individualities of different features by dynamically updating the weighting coefficients of given features using a routing module. Experiment and extensive analysis on CIFAR-10 prove the effectiveness and promising characteristics of the proposed method.
DOI10.1088/1742-6596/1631/1/012151
Language英语
WOS IDIOP:1742-6588-1631-1-012151
PublisherIOP Publishing
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/42199
Collection中国科学院自动化研究所
Affiliation1.NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Rd., Beijing 100190, China
2.State Grid Intelligence Technology Co., Ltd., China
3.University of Chinese Academy of Sciences, Beijing 100190, China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Li,Chenghua,Wang,Wanguo,Liu,Linzhi,et al. Dynamic Feature Combination by Agreement for Image Classification[J]. Journal of Physics: Conference Series,2020,1631(1).
APA Li,Chenghua,Wang,Wanguo,Liu,Linzhi,&Liang,Tian.(2020).Dynamic Feature Combination by Agreement for Image Classification.Journal of Physics: Conference Series,1631(1).
MLA Li,Chenghua,et al."Dynamic Feature Combination by Agreement for Image Classification".Journal of Physics: Conference Series 1631.1(2020).
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