FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901097789> ?p ?o ?g. }

• W2901097789 endingPage "71434" @default.
• W2901097789 startingPage "71422" @default.
• W2901097789 abstract "In this paper, we propose a saliency detection method (SAMM) by using the surroundedness and absorption Markov model. First, the approximate area of the salient object is predicted by the surroundedness to the eye fixation point prediction. Second, a simple linear iterative clustering algorithm is applied to the original image to calculate superpixels, and a two-ring image graph model is formed. We calculate two initial saliency maps $S_{1}$ and $S_{2}$ . Prior map $S_{1}$ is calculated by applying the absorption Markov chain, as the superpixel-based region of the two boundaries farthest from the predicted salient object is taken as the background region, while map $S_{2}$ is calculated by using the absorption Markov chain to detect the superpixels in the approximate region of the salient object as a foreground region. The final saliency map is obtained by combining $S_{1}$ and $S_{2}$ . Finally, a guided filter is used to reduce the background noise from the saliency map. For the evaluation, experiments are performed on six publicly available test datasets (MSRA, ECSSD, Imgsal, DUT-OMRON, PASCAL-S, and MSRA10k), and the results are compared against 10 state-of-the-art saliency detection algorithms. Our proposed saliency detection algorithm (SAMM) performs better with higher precision_recall, AUC, ${F}$ -measure, and minimum mean absolute error values." @default.
• W2901097789 created "2018-11-29" @default.
• W2901097789 creator A5019395532 @default.
• W2901097789 creator A5019407313 @default.
• W2901097789 creator A5022154857 @default.
• W2901097789 creator A5029456452 @default.
• W2901097789 creator A5026861476 @default.
• W2901097789 date "2018-01-01" @default.
• W2901097789 modified "2023-10-15" @default.
• W2901097789 title "SAMM: Surroundedness and Absorption Markov Model Based Visual Saliency Detection in Images" @default.
• W2901097789 cites W1625828160 @default.
• W2901097789 cites W1719407190 @default.
• W2901097789 cites W1924072257 @default.
• W2901097789 cites W1992568610 @default.
• W2901097789 cites W2020674973 @default.
• W2901097789 cites W2021422668 @default.
• W2901097789 cites W2024713411 @default.
• W2901097789 cites W2033149165 @default.
• W2901097789 cites W2039313011 @default.
• W2901097789 cites W2059087465 @default.
• W2901097789 cites W2065645069 @default.
• W2901097789 cites W2069462840 @default.
• W2901097789 cites W2080581769 @default.
• W2901097789 cites W2086791339 @default.
• W2901097789 cites W2100470808 @default.
• W2901097789 cites W2118246710 @default.
• W2901097789 cites W2125188192 @default.
• W2901097789 cites W2128272608 @default.
• W2901097789 cites W2138309709 @default.
• W2901097789 cites W2159772167 @default.
• W2901097789 cites W2166650627 @default.
• W2901097789 cites W2294182682 @default.
• W2901097789 cites W2315287060 @default.
• W2901097789 cites W2332175535 @default.
• W2901097789 cites W2337762808 @default.
• W2901097789 cites W2397869065 @default.
• W2901097789 cites W2469723343 @default.
• W2901097789 cites W2588847126 @default.
• W2901097789 cites W2762270259 @default.
• W2901097789 cites W2766439555 @default.
• W2901097789 cites W2767621216 @default.
• W2901097789 cites W2804919784 @default.
• W2901097789 cites W2809951001 @default.
• W2901097789 cites W3104979525 @default.
• W2901097789 doi "https://doi.org/10.1109/access.2018.2882014" @default.
• W2901097789 hasPublicationYear "2018" @default.
• W2901097789 type Work @default.
• W2901097789 sameAs 2901097789 @default.
• W2901097789 citedByCount "5" @default.
• W2901097789 countsByYear W29010977892019 @default.
• W2901097789 countsByYear W29010977892021 @default.
• W2901097789 countsByYear W29010977892022 @default.
• W2901097789 crossrefType "journal-article" @default.
• W2901097789 hasAuthorship W2901097789A5019395532 @default.
• W2901097789 hasAuthorship W2901097789A5019407313 @default.
• W2901097789 hasAuthorship W2901097789A5022154857 @default.
• W2901097789 hasAuthorship W2901097789A5026861476 @default.
• W2901097789 hasAuthorship W2901097789A5029456452 @default.
• W2901097789 hasBestOaLocation W29010977891 @default.
• W2901097789 hasConcept C105795698 @default.
• W2901097789 hasConcept C119857082 @default.
• W2901097789 hasConcept C120665830 @default.
• W2901097789 hasConcept C121332964 @default.
• W2901097789 hasConcept C125287762 @default.
• W2901097789 hasConcept C153180895 @default.
• W2901097789 hasConcept C154945302 @default.
• W2901097789 hasConcept C159886148 @default.
• W2901097789 hasConcept C163836022 @default.
• W2901097789 hasConcept C23224414 @default.
• W2901097789 hasConcept C31972630 @default.
• W2901097789 hasConcept C33923547 @default.
• W2901097789 hasConcept C41008148 @default.
• W2901097789 hasConcept C98763669 @default.
• W2901097789 hasConceptScore W2901097789C105795698 @default.
• W2901097789 hasConceptScore W2901097789C119857082 @default.
• W2901097789 hasConceptScore W2901097789C120665830 @default.
• W2901097789 hasConceptScore W2901097789C121332964 @default.
• W2901097789 hasConceptScore W2901097789C125287762 @default.
• W2901097789 hasConceptScore W2901097789C153180895 @default.
• W2901097789 hasConceptScore W2901097789C154945302 @default.
• W2901097789 hasConceptScore W2901097789C159886148 @default.
• W2901097789 hasConceptScore W2901097789C163836022 @default.
• W2901097789 hasConceptScore W2901097789C23224414 @default.
• W2901097789 hasConceptScore W2901097789C31972630 @default.
• W2901097789 hasConceptScore W2901097789C33923547 @default.
• W2901097789 hasConceptScore W2901097789C41008148 @default.
• W2901097789 hasConceptScore W2901097789C98763669 @default.
• W2901097789 hasFunder F4320321001 @default.
• W2901097789 hasLocation W29010977891 @default.
• W2901097789 hasOpenAccess W2901097789 @default.
• W2901097789 hasPrimaryLocation W29010977891 @default.
• W2901097789 hasRelatedWork W1536753830 @default.
• W2901097789 hasRelatedWork W2039473210 @default.
• W2901097789 hasRelatedWork W2131524408 @default.
• W2901097789 hasRelatedWork W2157200163 @default.
• W2901097789 hasRelatedWork W2350115929 @default.
• W2901097789 hasRelatedWork W2569579427 @default.
• W2901097789 hasRelatedWork W2793260526 @default.

• next