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GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid Reasoning

The GHR-VLM framework combines grounded reasoning with vision-language models to enable zero-shot video analytics for transit systems without requiring task-specific training data.

Impact
30/100
Current rank score
5.4
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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