Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries
This work was supported in part by the National Natural Science Fund of China under Grant 61233011, Grant 61374006, Grant 61473086, Grant 61463008, Grant 61703100, Grant 61773118, and Grant 61773117, in part by the Major Program of National Natural Science Foundation of China under Grant 11190015, i...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8356641/ |
id |
doaj-2e596391fa104095a258e7500d0c8e97 |
---|---|
record_format |
Article |
spelling |
doaj-2e596391fa104095a258e7500d0c8e972021-03-29T21:08:39ZengIEEEIEEE Access2169-35362018-01-016267292674110.1109/ACCESS.2018.28345458356641Hypergraph Optimization for Salient Region Detection Based on Foreground and Background QueriesJinxia Zhang0https://orcid.org/0000-0001-5481-5385Shixiong Fang1Krista A. Ehinger2Haikun Wei3Wankou Yang4Kanjian Zhang5Jingyu Yang6Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, ChinaKey Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, ChinaCentre for Vision Research, York University, Toronto, ON, CanadaKey Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, ChinaKey Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, ChinaKey Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, ChinaSchool of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, ChinaThis work was supported in part by the National Natural Science Fund of China under Grant 61233011, Grant 61374006, Grant 61473086, Grant 61463008, Grant 61703100, Grant 61773118, and Grant 61773117, in part by the Major Program of National Natural Science Foundation of China under Grant 11190015, in part by the Natural Science Foundation of Jiangsu under Grant BK20131300 and Grant BK20170692, in part by the Innovation Fund of Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, under Grant JYB201601, in part by the Innovation Fund of Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, under Grant MCCSE2017B01, and in part by the Fundamental Research Funds for the Central Universities under Grant 2242016k30009.https://ieeexplore.ieee.org/document/8356641/Hypergraphqueriesoptimization frameworksalient region detection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jinxia Zhang Shixiong Fang Krista A. Ehinger Haikun Wei Wankou Yang Kanjian Zhang Jingyu Yang |
spellingShingle |
Jinxia Zhang Shixiong Fang Krista A. Ehinger Haikun Wei Wankou Yang Kanjian Zhang Jingyu Yang Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries IEEE Access Hypergraph queries optimization framework salient region detection |
author_facet |
Jinxia Zhang Shixiong Fang Krista A. Ehinger Haikun Wei Wankou Yang Kanjian Zhang Jingyu Yang |
author_sort |
Jinxia Zhang |
title |
Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries |
title_short |
Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries |
title_full |
Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries |
title_fullStr |
Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries |
title_full_unstemmed |
Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries |
title_sort |
hypergraph optimization for salient region detection based on foreground and background queries |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
This work was supported in part by the National Natural Science Fund of China under Grant 61233011, Grant 61374006, Grant 61473086, Grant 61463008, Grant 61703100, Grant 61773118, and Grant 61773117, in part by the Major Program of National Natural Science Foundation of China under Grant 11190015, in part by the Natural Science Foundation of Jiangsu under Grant BK20131300 and Grant BK20170692, in part by the Innovation Fund of Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, under Grant JYB201601, in part by the Innovation Fund of Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, under Grant MCCSE2017B01, and in part by the Fundamental Research Funds for the Central Universities under Grant 2242016k30009. |
topic |
Hypergraph queries optimization framework salient region detection |
url |
https://ieeexplore.ieee.org/document/8356641/ |
work_keys_str_mv |
AT jinxiazhang hypergraphoptimizationforsalientregiondetectionbasedonforegroundandbackgroundqueries AT shixiongfang hypergraphoptimizationforsalientregiondetectionbasedonforegroundandbackgroundqueries AT kristaaehinger hypergraphoptimizationforsalientregiondetectionbasedonforegroundandbackgroundqueries AT haikunwei hypergraphoptimizationforsalientregiondetectionbasedonforegroundandbackgroundqueries AT wankouyang hypergraphoptimizationforsalientregiondetectionbasedonforegroundandbackgroundqueries AT kanjianzhang hypergraphoptimizationforsalientregiondetectionbasedonforegroundandbackgroundqueries AT jingyuyang hypergraphoptimizationforsalientregiondetectionbasedonforegroundandbackgroundqueries |
_version_ |
1724193387598315520 |