Matches in SemOpenAlex for { <https://semopenalex.org/work/W2612200764> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2612200764 abstract "We propose a combined saliency enhancement architecture by combining two traditional saliency enhancement strategies: saliency aggregation and saliency optimization. Previous methods have presented many remarkable saliency maps. Saliency aggregation fuses these results to highlight the salient objects and suppress the background. Saliency optimization optimizes the rough computational saliency maps by local and global context in the original image. We first illustrate the principle of saliency aggregation and optimization, and how to implement these two strategies using fully convolutional network. And then, we propose a network based on FCN to combine these two strategies. We use FCN to iteratively combine the results of the two strategies. Our method is evaluated on five representative datasets. Experimental results indicate that our architecture outperforms the state-of-the-art methods." @default.
- W2612200764 created "2017-05-19" @default.
- W2612200764 creator A5070008594 @default.
- W2612200764 creator A5084218062 @default.
- W2612200764 date "2016-10-01" @default.
- W2612200764 modified "2023-10-16" @default.
- W2612200764 title "Combined saliency enhancement based on fully convolutional network" @default.
- W2612200764 cites W1897243830 @default.
- W2612200764 cites W1996326832 @default.
- W2612200764 cites W2002781701 @default.
- W2612200764 cites W2036576620 @default.
- W2612200764 cites W2039313011 @default.
- W2612200764 cites W2041719651 @default.
- W2612200764 cites W2047670868 @default.
- W2612200764 cites W2058359403 @default.
- W2612200764 cites W2086791339 @default.
- W2612200764 cites W2100470808 @default.
- W2612200764 cites W21025885 @default.
- W2612200764 cites W2107363596 @default.
- W2612200764 cites W2120889539 @default.
- W2612200764 cites W2124351162 @default.
- W2612200764 cites W2127707449 @default.
- W2612200764 cites W2127807804 @default.
- W2612200764 cites W2128272608 @default.
- W2612200764 cites W2135957164 @default.
- W2612200764 doi "https://doi.org/10.1109/compcomm.2016.7924744" @default.
- W2612200764 hasPublicationYear "2016" @default.
- W2612200764 type Work @default.
- W2612200764 sameAs 2612200764 @default.
- W2612200764 citedByCount "0" @default.
- W2612200764 crossrefType "proceedings-article" @default.
- W2612200764 hasAuthorship W2612200764A5070008594 @default.
- W2612200764 hasAuthorship W2612200764A5084218062 @default.
- W2612200764 hasConcept C115961682 @default.
- W2612200764 hasConcept C151730666 @default.
- W2612200764 hasConcept C153180895 @default.
- W2612200764 hasConcept C154945302 @default.
- W2612200764 hasConcept C202227193 @default.
- W2612200764 hasConcept C2779343474 @default.
- W2612200764 hasConcept C2779679900 @default.
- W2612200764 hasConcept C2780719617 @default.
- W2612200764 hasConcept C41008148 @default.
- W2612200764 hasConcept C81363708 @default.
- W2612200764 hasConcept C86803240 @default.
- W2612200764 hasConceptScore W2612200764C115961682 @default.
- W2612200764 hasConceptScore W2612200764C151730666 @default.
- W2612200764 hasConceptScore W2612200764C153180895 @default.
- W2612200764 hasConceptScore W2612200764C154945302 @default.
- W2612200764 hasConceptScore W2612200764C202227193 @default.
- W2612200764 hasConceptScore W2612200764C2779343474 @default.
- W2612200764 hasConceptScore W2612200764C2779679900 @default.
- W2612200764 hasConceptScore W2612200764C2780719617 @default.
- W2612200764 hasConceptScore W2612200764C41008148 @default.
- W2612200764 hasConceptScore W2612200764C81363708 @default.
- W2612200764 hasConceptScore W2612200764C86803240 @default.
- W2612200764 hasLocation W26122007641 @default.
- W2612200764 hasOpenAccess W2612200764 @default.
- W2612200764 hasPrimaryLocation W26122007641 @default.
- W2612200764 hasRelatedWork W1190881433 @default.
- W2612200764 hasRelatedWork W1542247850 @default.
- W2612200764 hasRelatedWork W2007868568 @default.
- W2612200764 hasRelatedWork W2295438102 @default.
- W2612200764 hasRelatedWork W2369583216 @default.
- W2612200764 hasRelatedWork W2547191090 @default.
- W2612200764 hasRelatedWork W2549713154 @default.
- W2612200764 hasRelatedWork W2733081473 @default.
- W2612200764 hasRelatedWork W2753416163 @default.
- W2612200764 hasRelatedWork W2774330237 @default.
- W2612200764 hasRelatedWork W2897089856 @default.
- W2612200764 hasRelatedWork W2898976943 @default.
- W2612200764 hasRelatedWork W2950622378 @default.
- W2612200764 hasRelatedWork W2991855367 @default.
- W2612200764 hasRelatedWork W3005084867 @default.
- W2612200764 hasRelatedWork W3015754971 @default.
- W2612200764 hasRelatedWork W3083499654 @default.
- W2612200764 hasRelatedWork W3091757450 @default.
- W2612200764 hasRelatedWork W3105291825 @default.
- W2612200764 hasRelatedWork W3110051719 @default.
- W2612200764 isParatext "false" @default.
- W2612200764 isRetracted "false" @default.
- W2612200764 magId "2612200764" @default.
- W2612200764 workType "article" @default.