Abstract: Multimodal Large Language Models (MLLMs) bridge the gap between visual and textual data, enabling a range of advanced applications. However, complex internal interactions among visual ...
Thank you for signing up! Did you know with an ad-lite subscription to Peterborough Telegraph, you get 70% fewer ads while viewing the news that matters to you. In one incident Thomas Honeyman (36) of ...
Abstract: Driver distraction behavior recognition is currently a significant study area that involves analyzing and identifying various movements, actions, and patterns exhibited by drivers while ...
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