A new dashcam video question-answering benchmark reveals that top vision-language models plateau at 66% accuracy when reasoning about safety-critical driving incidents.
Embodied scene understanding for vi- sion language models via metavqa
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AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding
A new dashcam video question-answering benchmark reveals that top vision-language models plateau at 66% accuracy when reasoning about safety-critical driving incidents.