On standard face benchmarks, domain-specific face recognition models beat zero-shot foundation models, adding context or fusing scores improves performance at low false-match rates, and GPT-4o can explain and sometimes correct AdaFace's errors.
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Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition
On standard face benchmarks, domain-specific face recognition models beat zero-shot foundation models, adding context or fusing scores improves performance at low false-match rates, and GPT-4o can explain and sometimes correct AdaFace's errors.