Probing Visual Concepts in Lightweight Vision-Language Models for Automated Driving
Probing Visual Concepts in Lightweight Vision-Language Models for Automated Driving explores This research investigates the encoding of visual concepts in Vision-Language Models to understand failures in automated driving applications.. Commercial viability score: 3/10 in Vision-Language Models in Automated Driving.
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