Author

C. Chibaya

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Open access Sep 2026

Statistically grounded evaluation of demographic bias in deep facial representations using FairFace and UTKFace

Deep facial representation learning has achieved remarkable performance in computer vision applications; however, high overall accuracy does not necessarily ensure equitable performance across demographic groups. This study presents a unified framework for evaluating the quality and demographic fairness of pretrained d...

Andisani Nemavhola, Serestina Viriri, C. Chibaya · Scientific Reports · 0 citations

Open access Jul 2026

Hybrid CNN with angular margin supervision for robust face identification and verification

The findings demonstrate that additive angular margin supervision does not universally outperform conventional Softmax optimization and highlight the importance of multi-dataset benchmarking, fold-level evaluation, and supervision sensitivity analysis for robust and reproducible face recognition benchmarking.

Andisani Nemavhola, C. Chibaya, Serestina Viriri · Frontiers in Artificial Inte... · 1 citation

Open access Aug 2026

Reassessing demographic bias in face attribute classification: a statistically grounded multi-model evaluation on FairFace and UTKFace

A statistically grounded evaluation of demographic bias in face attribute classification across three representative architectures, ResNet50, MobileNetV3, and a vision transformer, using the FairFace and UTKFace datasets shows that race-based disparities are substantially larger than gender-based disparities across bot...

Andisani Nemavhola, Serestina Viriri, C. Chibaya · Frontiers in Artificial Inte... · 0 citations