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Found 3 papers, 1 papers with code
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
Corner case scenarios are an essential tool for testing and validating the safety of autonomous vehicles (AVs).
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models
In this work, we propose a methodology for investigating the use of semantic attention to enhance the explainability of Graph Neural Network (GNN)-based models.
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention
This paper proposes a Graph Neural Network(GNN)-based method for exploiting semantics and local geometry to guide the identification of reliable pointcloud registration candidates.
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