Learning Deep Relationship for Object Detection

doi:10.1587/transinf.2017EDL8131

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 遥感图像处理团队

	Learning Deep Relationship for Object Detection
	Xu, Nuo; Huo, Chunlei; Huo CL(霍春雷)
刊名	IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
	2018
卷号	E101D 期号:1 页码:273-276
关键词	Object Detection Siamese Convolutional Neural Network Remote Sensing Images Relationship Learning
DOI	10.1587/transinf.2017EDL8131
文献子类	Article
英文摘要	Object detection has been a hot topic of image processing, computer vision and pattern recognition. In recent years, training a model from labeled images using machine learning technique becomes popular. However, the relationship between training samples is usually ignored by existing approaches. To address this problem, a novel approach is proposed, which trains Siamese convolutional neural network on feature pairs and finely tunes the network driven by a small amount of training samples. Since the proposed method considers not only the discriminative information between objects and background, but also the relationship between intraclass features, it outperforms the state-of-arts on real images.
WOS关键词	SUPPORT VECTOR MACHINES
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000431760600036
资助机构	National Natural Science Foundation of China(91438105 ; 61375024)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/15383]
专题	自动化研究所_模式识别国家重点实验室_遥感图像处理团队
通讯作者	Huo CL(霍春雷)
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Xu, Nuo,Huo, Chunlei,Huo CL. Learning Deep Relationship for Object Detection[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2018,E101D(1):273-276.
APA	Xu, Nuo,Huo, Chunlei,&霍春雷.(2018).Learning Deep Relationship for Object Detection.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E101D(1),273-276.
MLA	Xu, Nuo,et al."Learning Deep Relationship for Object Detection".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E101D.1(2018):273-276.