Towards Closing the Domain Gap with Event Cameras

This article, sourced from ArXiv, likely discusses research on using event cameras to improve the performance of AI models, potentially in areas where traditional cameras struggle. The focus is on addressing the 'domain gap,' which refers to the difference in performance between a model trained on one dataset and applied to another. The research likely explores how event cameras, which capture changes in light intensity rather than entire frames, can provide more robust and efficient data for AI applications.