Grounding vision-language models in driving semantics: a multi-dataset predicate framework for explainable reasoning
Read the original at arxiv.org→arXiv:2609.31636v1 Announce Type: new Abstract: Vision-language models are increasingly used for driving-scene understanding, yet the semantic relations expressed in their outputs are often difficult to verify...
Original headline: "Grounding Vision-Language Models in Driving Semantics: A Multi-Dataset Predicate Framework for Explainable Reasoning"
Coverage timeline
- Sep 29, 04:00 UTC arXiv cs.LG lead source Grounding Vision-Language Models in Driving Semantics: A Multi-Dataset Predicate Framework for Explainable Reasoning