Dynamic Multi-view Combination for Image Classification | |
Li,Chenghua3; Wang,Wanguo2; Liu,Fengyuan1,3; Guo,Zhenyu1,3 | |
刊名 | Journal of Physics: Conference Series |
2020-09-01 | |
卷号 | 1631期号:1 |
ISSN号 | 1742-6588 |
DOI | 10.1088/1742-6596/1631/1/012125 |
英文摘要 | 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. |
语种 | 英语 |
出版者 | IOP Publishing |
WOS记录号 | IOP:1742-6588-1631-1-012125 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/42192] |
专题 | 类脑芯片与系统研究 |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100190, China 2.State Grid Intelligence Technology Co., Ltd., China 3.NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Rd., Beijing 100190, China |
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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