Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Afzali:2019:evoapplications,

• author = "Shima Afzali and Harith Al-Sahaf and Bing Xue and Christopher Hollitt and Mengjie Zhang",
• title = "Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection",
• booktitle = "22nd International Conference, EvoApplications 2019",
• year = "2019",
• month = "24-26 " # apr,
• editor = "Paul Kaufmann and Pedro A. Castillo",
• series = "LNCS",
• volume = "11454",
• publisher = "Springer Verlag",
• address = "Leipzig, Germany",
• pages = "308--324",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Salient Object Detection, Feature combination, Feature selection",
• isbn13 = "978-3-030-16691-5",
• DOI = "doi:10.1007/978-3-030-16692-2_21",
• abstract = "Salient Object Detection (SOD) aims to model human visual attention system to cope with the complex natural scene which contains various objects at different scales. Over the past two decades, a wide range of saliency features have been introduced in the SOD field, however feature selection has not been widely investigated for selecting informative, non-redundant, and complementary features from the existing features. In SOD, multi-level feature extraction and feature combination are two fundamental stages to compute the final saliency map. However, designing a good feature combination framework is a challenging task and requires domain-expert intervention. In this paper, we propose a genetic programming (GP) based method that is able to automatically select the complementary saliency features and generate mathematical function to combine those features. The performance of the proposed method is evaluated using four benchmark datasets and compared to nine state-of-the-art methods. The qualitative and quantitative results show that the proposed method significantly outperformed, or achieved comparable performance to, the competitor methods.",
• notes = "http://www.evostar.org/2019/cfp_evoapps.php EuroGP'2019 held in conjunction with EvoCOP2019, EvoMusArt2019 and EvoApplications2019",

}

Genetic Programming entries for Shima Afzali Harith Al-Sahaf Bing Xue Christopher Hollitt Mengjie Zhang

Citations