Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894567592> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2894567592 endingPage "202" @default.
- W2894567592 startingPage "188" @default.
- W2894567592 abstract "Recent years have witnessed increasing interest in salient object detection, which aims at stimulating the human visual attention mechanism to detect and segment the most attractive object in natural scenes, and can be widely applied in numerous computer vision tasks. In this paper, by considering both objectness cue and saliency detection, we propose a graph model-based bottom-up salient object detection framework by fusing multiple saliency maps using low-level features and objectness features under a manifold ranking framework. Specifically, for each feature, we utilize geodesic distance between any two superpixels to construct the affinity matrix and un-normalized Laplacian matrix of the graph. Then, we apply saliency optimization to refine each saliency map generated by manifold ranking with the first-stage query, and integrate saliency maps corresponding to different features by multilayer cellular automata in the final stage. Extensive experimental results demonstrate that our method can deliver promising performance in comparison to several state-of-the-art bottom-up methods on many benchmark datasets." @default.
- W2894567592 created "2018-10-12" @default.
- W2894567592 creator A5016989631 @default.
- W2894567592 creator A5017727521 @default.
- W2894567592 creator A5050716572 @default.
- W2894567592 creator A5066770728 @default.
- W2894567592 creator A5088291390 @default.
- W2894567592 date "2019-01-01" @default.
- W2894567592 modified "2023-10-14" @default.
- W2894567592 title "Graph model-based salient object detection using objectness and multiple saliency cues" @default.
- W2894567592 cites W1992992668 @default.
- W2894567592 cites W1996326832 @default.
- W2894567592 cites W2017691720 @default.
- W2894567592 cites W2022980325 @default.
- W2894567592 cites W2036973297 @default.
- W2894567592 cites W2041719651 @default.
- W2894567592 cites W2066624635 @default.
- W2894567592 cites W2086791339 @default.
- W2894567592 cites W2088049833 @default.
- W2894567592 cites W2118246710 @default.
- W2894567592 cites W2128272608 @default.
- W2894567592 cites W2147347517 @default.
- W2894567592 cites W2159772167 @default.
- W2894567592 cites W2337762808 @default.
- W2894567592 cites W2358876993 @default.
- W2894567592 cites W2395611524 @default.
- W2894567592 cites W2412782625 @default.
- W2894567592 cites W2588600710 @default.
- W2894567592 cites W2605793178 @default.
- W2894567592 cites W2606302360 @default.
- W2894567592 cites W2744876417 @default.
- W2894567592 cites W2773771410 @default.
- W2894567592 cites W2783231089 @default.
- W2894567592 cites W3104979525 @default.
- W2894567592 cites W3105291825 @default.
- W2894567592 cites W4239147634 @default.
- W2894567592 doi "https://doi.org/10.1016/j.neucom.2018.09.081" @default.
- W2894567592 hasPublicationYear "2019" @default.
- W2894567592 type Work @default.
- W2894567592 sameAs 2894567592 @default.
- W2894567592 citedByCount "29" @default.
- W2894567592 countsByYear W28945675922019 @default.
- W2894567592 countsByYear W28945675922020 @default.
- W2894567592 countsByYear W28945675922021 @default.
- W2894567592 countsByYear W28945675922022 @default.
- W2894567592 countsByYear W28945675922023 @default.
- W2894567592 crossrefType "journal-article" @default.
- W2894567592 hasAuthorship W2894567592A5016989631 @default.
- W2894567592 hasAuthorship W2894567592A5017727521 @default.
- W2894567592 hasAuthorship W2894567592A5050716572 @default.
- W2894567592 hasAuthorship W2894567592A5066770728 @default.
- W2894567592 hasAuthorship W2894567592A5088291390 @default.
- W2894567592 hasConcept C115178988 @default.
- W2894567592 hasConcept C132525143 @default.
- W2894567592 hasConcept C13280743 @default.
- W2894567592 hasConcept C153180895 @default.
- W2894567592 hasConcept C154945302 @default.
- W2894567592 hasConcept C185798385 @default.
- W2894567592 hasConcept C205649164 @default.
- W2894567592 hasConcept C2780719617 @default.
- W2894567592 hasConcept C2781238097 @default.
- W2894567592 hasConcept C31972630 @default.
- W2894567592 hasConcept C41008148 @default.
- W2894567592 hasConcept C80444323 @default.
- W2894567592 hasConceptScore W2894567592C115178988 @default.
- W2894567592 hasConceptScore W2894567592C132525143 @default.
- W2894567592 hasConceptScore W2894567592C13280743 @default.
- W2894567592 hasConceptScore W2894567592C153180895 @default.
- W2894567592 hasConceptScore W2894567592C154945302 @default.
- W2894567592 hasConceptScore W2894567592C185798385 @default.
- W2894567592 hasConceptScore W2894567592C205649164 @default.
- W2894567592 hasConceptScore W2894567592C2780719617 @default.
- W2894567592 hasConceptScore W2894567592C2781238097 @default.
- W2894567592 hasConceptScore W2894567592C31972630 @default.
- W2894567592 hasConceptScore W2894567592C41008148 @default.
- W2894567592 hasConceptScore W2894567592C80444323 @default.
- W2894567592 hasFunder F4320321001 @default.
- W2894567592 hasFunder F4320326705 @default.
- W2894567592 hasLocation W28945675921 @default.
- W2894567592 hasOpenAccess W2894567592 @default.
- W2894567592 hasPrimaryLocation W28945675921 @default.
- W2894567592 hasRelatedWork W1632853819 @default.
- W2894567592 hasRelatedWork W1837097281 @default.
- W2894567592 hasRelatedWork W1966410754 @default.
- W2894567592 hasRelatedWork W2007544051 @default.
- W2894567592 hasRelatedWork W2016398835 @default.
- W2894567592 hasRelatedWork W2328068029 @default.
- W2894567592 hasRelatedWork W2363840281 @default.
- W2894567592 hasRelatedWork W2536452361 @default.
- W2894567592 hasRelatedWork W2607572884 @default.
- W2894567592 hasRelatedWork W2975200075 @default.
- W2894567592 hasVolume "323" @default.
- W2894567592 isParatext "false" @default.
- W2894567592 isRetracted "false" @default.
- W2894567592 magId "2894567592" @default.
- W2894567592 workType "article" @default.