Coarse saliency is measured via saliency prior learning and feature coding. •. LLsC-RC is used for enhancing the separability of foreground and background.
Hybrid of extended locality-constrained linear coding ...
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We fuse the results of region classification and region clustering into the classic Graph based Manifold Ranking (GMR) [12] method to further improve the query ...
Hybrid of Extended Locality-constrained Linear Coding and Manifold Ranking for Salient Object Detection. August 2018; Journal of Visual Communication and ...
Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection. Computing methodologies · Artificial intelligence.
Bibliographic details on Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection.
Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection · Coarse saliency is measured via saliency prior learning ...
Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection. J. Vis. Commun. Image Represent. 56: 27-37 (2018) ...
2018: Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection Journal of Visual Communication and Image ...
The use of RGB-D information for salient object detection has been extensively explored in recent years. Ranked #4 on RGB-D Salient Object Detection on RGBD135.
Non-linear feature representations such as sparse coding (SC) or locality constrained linear coding (LLC) cascaded with linear classifiers are proven to be ...