Driving Video Retrieval for Complex Queries with Structured Grounding
STRIVE-D, a data-calibrated retrieval framework for driving videos, uses weakly labeled in-domain videos to estimate when a query rule is reliable, adapt rules that mismatch observed data, and fuse calibrated rule scores with vision-language and keyword-based retrieval signals.