Oct 29, 2020 · CGR adaptively configures the reasoning path based on the knowledge graph, bridges the semantic gap between the commonsense knowledge, and the ...

Jan 5, 2022 · To alleviate this, we propose configurable graph reasoning (CGR) to decompose the reasoning path of visual rela- tionships and the incorporation ...

CGR adaptively configures the reasoning path based on the knowledge graph, bridges the semantic gap between the commonsense knowledge, and the real-world scenes ...

Visual commonsense knowledge has received growing attention in the reasoning of long-tailed visual relationships biased in terms of object and relation ...

Oct 18, 2022 · To address this problem, we propose unifying vision–language fusion and knowledge graph reasoning to combine visual feature embedding with ...

Human-Object Interaction (HOI) detection devotes to learn how humans interact with surrounding ob- jects via inferring triplets of 〈 human, verb, object. 〉 ...

We develop a method that can effectively detect such relationships from a given image. On top of that, a scene graph can be constructed. as visual phrases) as ...

Jul 4, 2022 · Visual relations form the basis of understanding our compositional world, as relationships between visual objects capture key information in ...

Jan 21, 2024 · [38] have produced a thorough survey on scene graph generation, which analyzes the SGG methods based on five typical models (CRF, TransE, CNN, ...

Reasoning about the relationships between object pairs in images is a crucial task for holistic scene understanding. Most of the existing works treat this ...