Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Afzali:2019:evoapplications,
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author = "Shima Afzali and Harith Al-Sahaf and Bing Xue and
Christopher Hollitt and Mengjie Zhang",
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title = "Genetic Programming for Feature Selection and Feature
Combination in Salient Object Detection",
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booktitle = "22nd International Conference, EvoApplications 2019",
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year = "2019",
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month = "24-26 " # apr,
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editor = "Paul Kaufmann and Pedro A. Castillo",
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series = "LNCS",
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volume = "11454",
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publisher = "Springer Verlag",
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address = "Leipzig, Germany",
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pages = "308--324",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming, Salient
Object Detection, Feature combination, Feature
selection",
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isbn13 = "978-3-030-16691-5",
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DOI = "doi:10.1007/978-3-030-16692-2_21",
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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.",
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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