Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras

The Talk2Event benchmark represents a significant advancement in the field of dynamic scene understanding by integrating event camera data with human language. Designed to address the challenge of accurately perceiving and describing dynamic environments, this benchmark leverages over 30,000 validated expressions sourced from real-world driving scenarios. By connecting event-based visual inputs with linguistic descriptions, Talk2Event enhances the capability to interpret complex, rapidly changing scenes. The dataset's foundation on authentic driving data ensures relevance and applicability to practical contexts. This initiative, documented on arXiv under the computer vision category, aligns with recent efforts to bridge sensory data and natural language processing. Through its comprehensive and validated expressions, Talk2Event provides a valuable resource for advancing AI systems in dynamic scene comprehension.