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The 10th AI City Challenge, held with ECCV 2026, marks a decade of community benchmarking for intelligent transportation, smart cities, and physical AI with 325 registered teams, and participation from 26 countries and regions, up from 15.
TAR and TAR-Bench serve as the official training and in-domain evaluation resources for AI City Challenge 2026 Track 3 and highlight persistent limitations in temporal precision and causal attribution.
VANTAGE-Bench is introduced, a benchmark measuring the "Infrastructure AI Gap", which spans three operational domains, unifies image and video evaluation across semantic, spatial, temporal, and spatio-temporal capabilities, and moves beyond multiple-choice to eight task formulations including dense captioning and spati...
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