Performance Comparison of Saliency Detection

Saliency detection has attracted significant attention in the field of computer vision technology over years. At present, more than 100 saliency detection models have been proposed. In this paper, a relatively more detailed classification is proposed. Furthermore, we selected 25 models and evaluated...

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Main Authors: Ning Li, Hongbo Bi, Zheng Zhang, Xiaoxue Kong, Di Lu
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2018/9497083
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author Ning Li
Hongbo Bi
Zheng Zhang
Xiaoxue Kong
Di Lu
author_facet Ning Li
Hongbo Bi
Zheng Zhang
Xiaoxue Kong
Di Lu
author_sort Ning Li
collection DOAJ
description Saliency detection has attracted significant attention in the field of computer vision technology over years. At present, more than 100 saliency detection models have been proposed. In this paper, a relatively more detailed classification is proposed. Furthermore, we selected 25 models and evaluated their performance using four public image datasets. We also discussed common problems, such as the influence to model performance by prior information and multiple objects. Finally, we offered future research directions.
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institution OA Journals
issn 1687-5680
1687-5699
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Advances in Multimedia
spelling doaj-art-232ada2cdb45462281b08dbd09d333842025-08-20T02:04:35ZengWileyAdvances in Multimedia1687-56801687-56992018-01-01201810.1155/2018/94970839497083Performance Comparison of Saliency DetectionNing Li0Hongbo Bi1Zheng Zhang2Xiaoxue Kong3Di Lu4Northeast Petroleum University, School of Electrical and Information Engineering, Development Road, Daqing 163000, ChinaNortheast Petroleum University, School of Electrical and Information Engineering, Development Road, Daqing 163000, ChinaNortheast Petroleum University, School of Electrical and Information Engineering, Development Road, Daqing 163000, ChinaNortheast Petroleum University, School of Electrical and Information Engineering, Development Road, Daqing 163000, ChinaNortheast Petroleum University, School of Electrical and Information Engineering, Development Road, Daqing 163000, ChinaSaliency detection has attracted significant attention in the field of computer vision technology over years. At present, more than 100 saliency detection models have been proposed. In this paper, a relatively more detailed classification is proposed. Furthermore, we selected 25 models and evaluated their performance using four public image datasets. We also discussed common problems, such as the influence to model performance by prior information and multiple objects. Finally, we offered future research directions.http://dx.doi.org/10.1155/2018/9497083
spellingShingle Ning Li
Hongbo Bi
Zheng Zhang
Xiaoxue Kong
Di Lu
Performance Comparison of Saliency Detection
Advances in Multimedia
title Performance Comparison of Saliency Detection
title_full Performance Comparison of Saliency Detection
title_fullStr Performance Comparison of Saliency Detection
title_full_unstemmed Performance Comparison of Saliency Detection
title_short Performance Comparison of Saliency Detection
title_sort performance comparison of saliency detection
url http://dx.doi.org/10.1155/2018/9497083
work_keys_str_mv AT ningli performancecomparisonofsaliencydetection
AT hongbobi performancecomparisonofsaliencydetection
AT zhengzhang performancecomparisonofsaliencydetection
AT xiaoxuekong performancecomparisonofsaliencydetection
AT dilu performancecomparisonofsaliencydetection