SEAM - an improved environmental adaptation method with real parameter coding for salient object det...
SEAM - an improved environmental adaptation method with real parameter coding for salient object detection
About this item
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Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
Object detection is an important problem in computer vision attracting researchers from various domains. It deals with separating objects of interest from their background. Image-related low-level features are used to detect salient objects from images, however these features vary from image to image. There is no single feature that can clearly ide...
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Full title
SEAM - an improved environmental adaptation method with real parameter coding for salient object detection
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2405451904
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2405451904
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-020-08678-z
