Class Agnostic Image Common Object Detection

doi:10.1109/TIP.2019.2891124

	Class Agnostic Image Common Object Detection
	Jiang, Shuqiang 1,2; Liang, Sisi 1,2; Chen, Chengpeng 1,2; Zhu, Yaohui 1,2; Li, Xiangyang 1,2
	2019-06-01
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN	1057-7149
卷号	28 期号:6 页码:2836-2846
摘要	Learning similarity of two images is an important problem in computer vision and has many potential applications. Most of the previous works focus on generating image similarities in three aspects: global feature distance computing, local feature matching, and image concepts comparison. However, the task of directly detecting the class agnostic common objects from two images has not been studied before, which goes one step further to capture image similarities at the region level. In this paper, we propose an end-to-end image Common Object Detection Network (CODN) to detect class agnostic common objects from two images. The proposed method consists of two main modules: locating module and matching module. The locating module generates candidate proposals of each two images. The matching module learns the similarities of the candidate proposal pairs from two images, and refines the bounding boxes of the candidate proposals. The learning procedure of CODN is implemented in an integrated way and a multi-task loss is designed to guarantee both region localization and common object matching. Experiments are conducted on PASCAL VOC 2007 and COCO 2014 datasets. The experimental results validate the effectiveness of the proposed method.
关键词	Common object detection siamese network relation network
DOI	10.1109/TIP.2019.2891124
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61532018] ; Beijing Natural Science Foundation[L182054] ; National Program for Special Support of Eminent Professionals ; National Program for Support of Top-notch Young Professionals
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000462386000016
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4164
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jiang, Shuqiang
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	Jiang, Shuqiang,Liang, Sisi,Chen, Chengpeng,et al. Class Agnostic Image Common Object Detection[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2019,28(6):2836-2846.
APA	Jiang, Shuqiang,Liang, Sisi,Chen, Chengpeng,Zhu, Yaohui,&Li, Xiangyang.(2019).Class Agnostic Image Common Object Detection.IEEE TRANSACTIONS ON IMAGE PROCESSING,28(6),2836-2846.
MLA	Jiang, Shuqiang,et al."Class Agnostic Image Common Object Detection".IEEE TRANSACTIONS ON IMAGE PROCESSING 28.6(2019):2836-2846.