3 accepted papers
Multi-modal Knowledge Graph Completion (MMKGC) aims to predict missing entities, relations, or attributes in knowledge graphs by collaboratively modeling the triple structure and multimodal information (e.g., text, images, videos) associated with entities. This approach facilitates the automatic dis…
Accurate lane detection is critical for autonomous driving safety. In recent years, anchor-based detection methods have made significant progress. However, existing frameworks struggle in complex scenarios such as nighttime or dazzle light environments. Additionally, these methods exhibit limited ge
Numerous studies have demonstrated that the Transformer architecture possesses the capability for in-context learning (ICL). In scenarios involving function approximation, context can serve as a control parameter for the model, endowing it with the universal approximation property (UAP). In practice…