Scene Graphs
PulseAugur coverage of Scene Graphs — every cluster mentioning Scene Graphs across labs, papers, and developer communities, ranked by signal.
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New CoSPlan benchmark challenges vision-language models in visual planning tasks
Researchers have introduced CoSPlan, a new benchmark designed to evaluate the sequential planning capabilities of vision-language models (VLMs) in visual domains. Unlike text-based planning, CoSPlan requires models to e…
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New SIR method enhances robot learning explainability with Scene Graphs
Researchers have developed a new method called Structured Image Representations (SIR) to improve explainability in robot learning. SIR utilizes Scene Graphs as an intermediate representation, constructing a graph from i…
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New pruning method boosts LLM 3D spatial reasoning
Researchers have developed CAPruner, a novel method for pruning scene graphs to enhance the 3D spatial reasoning capabilities of large language models. Existing pruning techniques often remove task-relevant information,…
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Robots learn tasks better with scene graph memory
Researchers have developed a new imitation learning method for robots that utilizes scene graphs to enhance their understanding of spatial and temporal context. This approach helps robots retain relevant historical info…
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Surgical AI scene graph review highlights data divide, proposes new validation
A scoping review of 52 studies on scene graphs in surgery reveals a significant increase in research, with a notable shift towards foundation and generative AI models. However, a 'data divide' persists, with most resear…