Dynamic Multi-view Combination for Image Classification
Li,Chenghua1; Wang,Wanguo2; Liu,Fengyuan1,3; Guo,Zhenyu1,3
发表期刊Journal of Physics: Conference Series
ISSN1742-6588
2020-09-01
卷号1631期号:1
摘要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.
DOI10.1088/1742-6596/1631/1/012125
语种英语
WOS记录号IOP:1742-6588-1631-1-012125
出版者IOP Publishing
七大方向——子方向分类图像视频处理与分析
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/42193
专题复杂系统认知与决策实验室_高效智能计算与学习
作者单位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
第一作者单位模式识别国家重点实验室
推荐引用方式
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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