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Driver Activity Classification Using Generalizable Representations from Vision-Language Models
In this paper, we present a novel approach leveraging generalizable representations from vision-language models for driver activity classification.
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras
The findings suggest the potential of generative models in addressing missing frames, advancing driver state monitoring for intelligent vehicles, and underscoring the need for continued research in model generalization and customization.
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