Dynamic Multi-view Combination for Image Classification

doi:10.1088/1742-6596/1631/1/012125

CASIA OpenIR

	Dynamic Multi-view Combination for Image Classification
	Li,Chenghua1 ; Wang,Wanguo 2; Liu,Fengyuan 1,3; Guo,Zhenyu 1,3
Source Publication	Journal of Physics: Conference Series
ISSN	1742-6588
	2020-09-01
Volume	1631 Issue:1
Abstract	Abstract Multi-view learning is widely used in image classification tasks to better explore the discriminative information of different views. However, existing multi-view methods commonly rely on some pre-defined assumptions or fail to fully take advantage of the combination commonality between individual images. This paper presents an efficient dynamic multi-view combination approach to dynamically combine the discriminative power of different views. Specially, we firstly utilize a group of pre-trained CNNs to extract different views of an image. Secondly, we apply a dynamic gating module to the image, which will generate a weight vector of these views to model the image-level information for the multi-view learning. Finally, the weight vector and the views are combined for the classification. Experimental results and analysis on CIFAR-10 and ImageNet show the effectiveness of the proposed dynamic multi-view combination method (DMVC) for visual classification.
DOI	10.1088/1742-6596/1631/1/012125
Language	英语
WOS ID	IOP:1742-6588-1631-1-012125
Publisher	IOP Publishing
Citation statistics
Document Type	期刊论文
Identifier	http://ir.ia.ac.cn/handle/173211/42193
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,Fengyuan,et al. Dynamic Multi-view Combination for Image Classification[J]. Journal of Physics: Conference Series,2020,1631(1).
APA	Li,Chenghua,Wang,Wanguo,Liu,Fengyuan,&Guo,Zhenyu.(2020).Dynamic Multi-view Combination for Image Classification.Journal of Physics: Conference Series,1631(1).
MLA	Li,Chenghua,et al."Dynamic Multi-view Combination for Image Classification".Journal of Physics: Conference Series 1631.1(2020).

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