Fine-tuning Mini-InternVL on DriveLM yields a CIDEr of 0.191 on driving QA, but the paper is a thin, under-specified application of prior work.
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DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving
Fine-tuning Mini-InternVL on DriveLM yields a CIDEr of 0.191 on driving QA, but the paper is a thin, under-specified application of prior work.