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arXiv Computer Vision By Mansur Bultygov, Vadim Seliutin, Dmitry Nekhaev, Ivan Laptev

DenseFace: Bias Mitigation in Face Recognition via Density-Aware Probabilistic Matching

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DenseFace introduces a bias‑mitigation technique for face recognition that operates on pre‑trained models without retraining. It models each person’s face embeddings with a von Mises‑Fisher distribution and uses a density‑aware probabilistic matching procedure to account for demographic differences. Experiments show that DenseFace consistently reduces racial bias across various architectures and datasets while preserving recognition accuracy.

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