Matches in SemOpenAlex for { <https://semopenalex.org/work/W2810482788> ?p ?o ?g. }
- W2810482788 endingPage "363" @default.
- W2810482788 startingPage "346" @default.
- W2810482788 abstract "Generating scene graph to describe all the relations inside an image gains increasing interests these years. However, most of the previous methods use complicated structures with slow inference speed or rely on the external data, which limits the usage of the model in real-life scenarios. To improve the efficiency of scene graph generation, we propose a subgraph-based connection graph to concisely represent the scene graph during the inference. A bottom-up clustering method is first used to factorize the entire scene graph into subgraphs, where each subgraph contains several objects and a subset of their relationships. By replacing the numerous relationship representations of the scene graph with fewer subgraph and object features, the computation in the intermediate stage is significantly reduced. In addition, spatial information is maintained by the subgraph features, which is leveraged by our proposed Spatial-weighted Message Passing~(SMP) structure and Spatial-sensitive Relation Inference~(SRI) module to facilitate the relationship recognition. On the recent Visual Relationship Detection and Visual Genome datasets, our method outperforms the state-of-the-art method in both accuracy and speed." @default.
- W2810482788 created "2018-07-10" @default.
- W2810482788 creator A5005264558 @default.
- W2810482788 creator A5033444412 @default.
- W2810482788 creator A5066603429 @default.
- W2810482788 creator A5069749771 @default.
- W2810482788 creator A5079410647 @default.
- W2810482788 creator A5087818121 @default.
- W2810482788 date "2018-01-01" @default.
- W2810482788 modified "2023-10-16" @default.
- W2810482788 title "Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation" @default.
- W2810482788 cites W141352744 @default.
- W2810482788 cites W1536680647 @default.
- W2810482788 cites W1584193343 @default.
- W2810482788 cites W1748750709 @default.
- W2810482788 cites W1773149199 @default.
- W2810482788 cites W1892016050 @default.
- W2810482788 cites W1897761818 @default.
- W2810482788 cites W1982522767 @default.
- W2810482788 cites W1995820507 @default.
- W2810482788 cites W1999818274 @default.
- W2810482788 cites W2010132303 @default.
- W2810482788 cites W2017313218 @default.
- W2810482788 cites W2028277005 @default.
- W2810482788 cites W2048852482 @default.
- W2810482788 cites W2049705550 @default.
- W2810482788 cites W2050964073 @default.
- W2810482788 cites W2066134726 @default.
- W2810482788 cites W2067816745 @default.
- W2810482788 cites W2070753207 @default.
- W2810482788 cites W2077069816 @default.
- W2810482788 cites W2081293863 @default.
- W2810482788 cites W2081613070 @default.
- W2810482788 cites W2092399515 @default.
- W2810482788 cites W2103658758 @default.
- W2810482788 cites W2110933980 @default.
- W2810482788 cites W2111078031 @default.
- W2810482788 cites W2111868822 @default.
- W2810482788 cites W2125436662 @default.
- W2810482788 cites W2142900973 @default.
- W2810482788 cites W2145743319 @default.
- W2810482788 cites W2146352414 @default.
- W2810482788 cites W2160254296 @default.
- W2810482788 cites W2194775991 @default.
- W2810482788 cites W2250711463 @default.
- W2810482788 cites W2277195237 @default.
- W2810482788 cites W2479423890 @default.
- W2810482788 cites W2579549467 @default.
- W2810482788 cites W2591644541 @default.
- W2810482788 cites W2605736949 @default.
- W2810482788 cites W2607855566 @default.
- W2810482788 cites W2740962769 @default.
- W2810482788 cites W2777602943 @default.
- W2810482788 cites W2962737704 @default.
- W2810482788 cites W2962811161 @default.
- W2810482788 cites W2963150697 @default.
- W2810482788 cites W2963560969 @default.
- W2810482788 cites W2963649796 @default.
- W2810482788 cites W2963758027 @default.
- W2810482788 cites W2963976294 @default.
- W2810482788 cites W3098232790 @default.
- W2810482788 cites W874179280 @default.
- W2810482788 cites W2964181976 @default.
- W2810482788 doi "https://doi.org/10.1007/978-3-030-01246-5_21" @default.
- W2810482788 hasPublicationYear "2018" @default.
- W2810482788 type Work @default.
- W2810482788 sameAs 2810482788 @default.
- W2810482788 citedByCount "181" @default.
- W2810482788 countsByYear W28104827882018 @default.
- W2810482788 countsByYear W28104827882019 @default.
- W2810482788 countsByYear W28104827882020 @default.
- W2810482788 countsByYear W28104827882021 @default.
- W2810482788 countsByYear W28104827882022 @default.
- W2810482788 countsByYear W28104827882023 @default.
- W2810482788 crossrefType "book-chapter" @default.
- W2810482788 hasAuthorship W2810482788A5005264558 @default.
- W2810482788 hasAuthorship W2810482788A5033444412 @default.
- W2810482788 hasAuthorship W2810482788A5066603429 @default.
- W2810482788 hasAuthorship W2810482788A5069749771 @default.
- W2810482788 hasAuthorship W2810482788A5079410647 @default.
- W2810482788 hasAuthorship W2810482788A5087818121 @default.
- W2810482788 hasBestOaLocation W28104827882 @default.
- W2810482788 hasConcept C131992880 @default.
- W2810482788 hasConcept C132525143 @default.
- W2810482788 hasConcept C14166107 @default.
- W2810482788 hasConcept C191241153 @default.
- W2810482788 hasConcept C203776342 @default.
- W2810482788 hasConcept C22149727 @default.
- W2810482788 hasConcept C2524010 @default.
- W2810482788 hasConcept C33923547 @default.
- W2810482788 hasConcept C41008148 @default.
- W2810482788 hasConcept C80444323 @default.
- W2810482788 hasConceptScore W2810482788C131992880 @default.
- W2810482788 hasConceptScore W2810482788C132525143 @default.
- W2810482788 hasConceptScore W2810482788C14166107 @default.
- W2810482788 hasConceptScore W2810482788C191241153 @default.
- W2810482788 hasConceptScore W2810482788C203776342 @default.
- W2810482788 hasConceptScore W2810482788C22149727 @default.