Deep Supervised Hashing for Fast Image Retrieval

doi:10.1007/s11263-019-01174-4

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Deep Supervised Hashing for Fast Image Retrieval
	Liu, Haomiao 1,2; Wang, Ruiping 1,2; Shan, Shiguang 1,2; Chen, Xilin 1,2
刊名	INTERNATIONAL JOURNAL OF COMPUTER VISION
	2019-09-01
卷号	127 期号:9 页码:1217-1234
关键词	Image retrieval Hashing Convolutional network Contrastive loss Triplet ranking loss
ISSN号	0920-5691
DOI	10.1007/s11263-019-01174-4
英文摘要	In this paper, we present a new hashing method to learn compact binary codes for highly efficient image retrieval on large-scale datasets. While the complex image appearance variations still pose a great challenge to reliable retrieval, in light of the recent progress of Convolutional Neural Networks (CNNs) in learning robust image representation on various vision tasks, this paper proposes a novel Deep Supervised Hashing method to learn compact similarity-preserving binary code for the huge body of image data. Specifically, we devise a CNN architecture that takes pairs/triplets of images as training inputs and encourages the output of each image to approximate discrete values (e.g. +1). To this end, the loss functions are elaborately designed to maximize the discriminability of the output space by encoding the supervised information from the input image pairs/triplets, and simultaneously imposing regularization on the real-valued outputs to approximate the desired discrete values. For image retrieval, new-coming query images can be easily encoded by forward propagating through the network and then quantizing the network outputs to binary codes representation. Extensive experiments on three large scale datasets CIFAR-10, NUS-WIDE, and SVHN show the promising performance of our method compared with the state-of-the-arts.
资助项目	973 Program[2015CB351802] ; Natural Science Foundation of China[61390511] ; Natural Science Foundation of China[61772500] ; Frontier Science Key Research Project CAS[QYZDJ-SSW-JSC009] ; Youth Innovation Promotion Association CAS[2015085]
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000477642300003
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/4480]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Ruiping
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liu, Haomiao,Wang, Ruiping,Shan, Shiguang,et al. Deep Supervised Hashing for Fast Image Retrieval[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2019,127(9):1217-1234.
APA	Liu, Haomiao,Wang, Ruiping,Shan, Shiguang,&Chen, Xilin.(2019).Deep Supervised Hashing for Fast Image Retrieval.INTERNATIONAL JOURNAL OF COMPUTER VISION,127(9),1217-1234.
MLA	Liu, Haomiao,et al."Deep Supervised Hashing for Fast Image Retrieval".INTERNATIONAL JOURNAL OF COMPUTER VISION 127.9(2019):1217-1234.