A 36-model cross-paradigm benchmark on a hard 100-image corpus shows commercial APIs lead on MCC, open-source detectors trail on average, and a subset of strong rankers are miscalibrated at their default threshold.
Code:https://github.com/chuangchuangtan/C2P-CLIP-DeepfakeDetection
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VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection
A 36-model cross-paradigm benchmark on a hard 100-image corpus shows commercial APIs lead on MCC, open-source detectors trail on average, and a subset of strong rankers are miscalibrated at their default threshold.