Dynamic Feature Combination by Agreement for Image Classification

doi:10.1088/1742-6596/1631/1/012151

CASIA OpenIR

	Dynamic Feature Combination by Agreement for Image Classification
	Li,Chenghua1 ; Wang,Wanguo 2; Liu,Linzhi 1,3; Liang,Tian 1,3
Source Publication	Journal of Physics: Conference Series
ISSN	1742-6588
	2020-09-01
Volume	1631 Issue:1
Abstract	Abstract 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.
DOI	10.1088/1742-6596/1631/1/012151
Language	英语
WOS ID	IOP:1742-6588-1631-1-012151
Publisher	IOP Publishing
Citation statistics
Document Type	期刊论文
Identifier	http://ir.ia.ac.cn/handle/173211/42199
Collection	中国科学院自动化研究所
Affiliation	1.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 Affilication	Chinese 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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