A 7,000-sample background-manipulation benchmark with matched controls shows that re-encoding artifacts cause false-positive rates of 0.57–1.00 across all tested baselines.
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BG-REAL: A Public Real-Data Anchored Benchmark for Background Manipulation Detection and Localization
A 7,000-sample background-manipulation benchmark with matched controls shows that re-encoding artifacts cause false-positive rates of 0.57–1.00 across all tested baselines.