Learning Deep Relationship for Object Detection
Xu, Nuo; Huo, Chunlei; Huo CL(霍春雷)
2018
发表期刊IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
卷号E101D期号:1页码:273-276
文章类型Article
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.
关键词Object Detection Siamese Convolutional Neural Network Remote Sensing Images Relationship Learning
WOS标题词Science & Technology ; Technology
DOI10.1587/transinf.2017EDL8131
关键词[WOS]SUPPORT VECTOR MACHINES
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(91438105 ; 61375024)
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号WOS:000431760600036
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15383
专题模式识别国家重点实验室_先进数据分析与学习
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
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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.
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