Original paper
Coarse-to-fine salient object detection with low-rank matrix recovery
Abstract
Low-rank matrix recovery (LRMR) has recently been applied to saliency detection by decomposing image features into a low-rank component associated with background and a sparse component associated with visual salient regions. Despite its great potential, existing LRMR-based saliency detection methods seldom consider the inter-relationship among elements within these two components, thus are prone to generating scattered or incomplete saliency...
Paper Details
Title
Coarse-to-fine salient object detection with low-rank matrix recovery
Published Date
Feb 1, 2020
Journal
Volume
376
Pages
232 - 243
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Notes
History