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: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2018/9497083 |
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| _version_ | 1850228221667180544 |
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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. |
| format | Article |
| id | doaj-art-232ada2cdb45462281b08dbd09d33384 |
| 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 |