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The latest AI City Challenge reveals that integrating foundation models with synthetic data design can significantly boost performance in complex urban scenarios.
Confidence scores from open-vocabulary detectors are fundamentally flawed, conflating object size and query specificity, leading to misleading localization estimates.
