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Department of Engineering, University of Cambridge
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UBD reveals that traditional accuracy metrics can mask critical sample-level discrepancies in model behavior, leading to a more nuanced understanding of data contamination effects.
Query-adaptive detection of active modalities boosts retrieval accuracy by 11.3% over fixed fusion methods in real-world video archives.
