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Class Agnostic Image Common Object Detection

文献类型：期刊论文

作者Zhu, Yaohui1,2; Jiang, Shuqiang1,2; Liang, Sisi1,2; Chen, Chengpeng1,2; Li, Xiangyang1,2
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2019-06-01
卷号28期号:6页码:2836-2846
关键词Common object detection siamese network relation network
ISSN号1057-7149
DOI10.1109/TIP.2019.2891124
英文摘要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.
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
语种英语
WOS记录号WOS:000462386000016
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/4163]  
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhu, Yaohui,Jiang, Shuqiang,Liang, Sisi,et al. Class Agnostic Image Common Object Detection[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2019,28(6):2836-2846.
APA Zhu, Yaohui,Jiang, Shuqiang,Liang, Sisi,Chen, Chengpeng,&Li, Xiangyang.(2019).Class Agnostic Image Common Object Detection.IEEE TRANSACTIONS ON IMAGE PROCESSING,28(6),2836-2846.
MLA Zhu, Yaohui,et al."Class Agnostic Image Common Object Detection".IEEE TRANSACTIONS ON IMAGE PROCESSING 28.6(2019):2836-2846.

入库方式： OAI收割

来源：计算技术研究所

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