Matches in SemOpenAlex for { <https://semopenalex.org/work/W3146234162> ?p ?o ?g. }
- W3146234162 abstract "Scene graph generation is an important visual understanding task with a broad range of vision applications. Despite recent tremendous progress, it remains challenging due to the intrinsic long-tailed class distribution and large intra-class variation. To address these issues, we introduce a novel confidence-aware bipartite graph neural network with adaptive message propagation mechanism for unbiased scene graph generation. In addition, we propose an efficient bi-level data resampling strategy to alleviate the imbalanced data distribution problem in training our graph network. Our approach achieves superior or competitive performance over previous methods on several challenging datasets, including Visual Genome, Open Images V4/V6, demonstrating its effectiveness and generality." @default.
- W3146234162 created "2021-04-13" @default.
- W3146234162 creator A5015970030 @default.
- W3146234162 creator A5057407928 @default.
- W3146234162 creator A5072694881 @default.
- W3146234162 creator A5083468959 @default.
- W3146234162 date "2021-04-01" @default.
- W3146234162 modified "2023-09-27" @default.
- W3146234162 title "Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation" @default.
- W3146234162 cites W2077069816 @default.
- W3146234162 cites W2116341502 @default.
- W3146234162 cites W2136903812 @default.
- W3146234162 cites W2277195237 @default.
- W3146234162 cites W2339172597 @default.
- W3146234162 cites W2519887557 @default.
- W3146234162 cites W2549139847 @default.
- W3146234162 cites W2579549467 @default.
- W3146234162 cites W2607855566 @default.
- W3146234162 cites W2613718673 @default.
- W3146234162 cites W2789042518 @default.
- W3146234162 cites W2798836702 @default.
- W3146234162 cites W2810482788 @default.
- W3146234162 cites W2883170015 @default.
- W3146234162 cites W2886970679 @default.
- W3146234162 cites W2911286998 @default.
- W3146234162 cites W2922136209 @default.
- W3146234162 cites W2948672349 @default.
- W3146234162 cites W2950096400 @default.
- W3146234162 cites W2950898568 @default.
- W3146234162 cites W2953484813 @default.
- W3146234162 cites W2955988340 @default.
- W3146234162 cites W2962767366 @default.
- W3146234162 cites W2962779575 @default.
- W3146234162 cites W2962785943 @default.
- W3146234162 cites W2962933664 @default.
- W3146234162 cites W2963091558 @default.
- W3146234162 cites W2963101956 @default.
- W3146234162 cites W2963351448 @default.
- W3146234162 cites W2963403868 @default.
- W3146234162 cites W2963449176 @default.
- W3146234162 cites W2963536419 @default.
- W3146234162 cites W2963649796 @default.
- W3146234162 cites W2963691377 @default.
- W3146234162 cites W2963703197 @default.
- W3146234162 cites W2963902384 @default.
- W3146234162 cites W2963938081 @default.
- W3146234162 cites W2964050365 @default.
- W3146234162 cites W2964093967 @default.
- W3146234162 cites W2969679616 @default.
- W3146234162 cites W2976903742 @default.
- W3146234162 cites W2979300990 @default.
- W3146234162 cites W2982147439 @default.
- W3146234162 cites W2995197345 @default.
- W3146234162 cites W2996084050 @default.
- W3146234162 cites W2999677786 @default.
- W3146234162 cites W3025726122 @default.
- W3146234162 cites W3034538190 @default.
- W3146234162 cites W3035017890 @default.
- W3146234162 cites W3035342001 @default.
- W3146234162 cites W3035552357 @default.
- W3146234162 cites W3040509138 @default.
- W3146234162 cites W3042550126 @default.
- W3146234162 cites W3058790345 @default.
- W3146234162 cites W3106250896 @default.
- W3146234162 cites W3106328333 @default.
- W3146234162 cites W3108230874 @default.
- W3146234162 cites W3108864070 @default.
- W3146234162 cites W3121480429 @default.
- W3146234162 doi "https://doi.org/10.48550/arxiv.2104.00308" @default.
- W3146234162 hasPublicationYear "2021" @default.
- W3146234162 type Work @default.
- W3146234162 sameAs 3146234162 @default.
- W3146234162 citedByCount "0" @default.
- W3146234162 crossrefType "posted-content" @default.
- W3146234162 hasAuthorship W3146234162A5015970030 @default.
- W3146234162 hasAuthorship W3146234162A5057407928 @default.
- W3146234162 hasAuthorship W3146234162A5072694881 @default.
- W3146234162 hasAuthorship W3146234162A5083468959 @default.
- W3146234162 hasBestOaLocation W31462341621 @default.
- W3146234162 hasConcept C132525143 @default.
- W3146234162 hasConcept C150921843 @default.
- W3146234162 hasConcept C154945302 @default.
- W3146234162 hasConcept C15744967 @default.
- W3146234162 hasConcept C197657726 @default.
- W3146234162 hasConcept C2780767217 @default.
- W3146234162 hasConcept C41008148 @default.
- W3146234162 hasConcept C542102704 @default.
- W3146234162 hasConcept C80444323 @default.
- W3146234162 hasConceptScore W3146234162C132525143 @default.
- W3146234162 hasConceptScore W3146234162C150921843 @default.
- W3146234162 hasConceptScore W3146234162C154945302 @default.
- W3146234162 hasConceptScore W3146234162C15744967 @default.
- W3146234162 hasConceptScore W3146234162C197657726 @default.
- W3146234162 hasConceptScore W3146234162C2780767217 @default.
- W3146234162 hasConceptScore W3146234162C41008148 @default.
- W3146234162 hasConceptScore W3146234162C542102704 @default.
- W3146234162 hasConceptScore W3146234162C80444323 @default.
- W3146234162 hasLocation W31462341621 @default.
- W3146234162 hasOpenAccess W3146234162 @default.
- W3146234162 hasPrimaryLocation W31462341621 @default.