mlsanityData to 7 Oct 2026

Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups

arXiv 2208.08382 ↗First posted 17 Aug 2022cs.CV cs.AI cs.LGcited by 7

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Abstract (arXiv)

Published studies have suggested the bias of automated face-based gender classification algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained for women and dark-skinned people. To mitigate the bias of gender classifiers, the vision community has developed several strategies. However, the efficacy of these mitigation strategies is demonstrated for a limited number of races mostly, Caucasian and African-American. Further, these strategies often offer a trade-off between bias and classification accuracy. To further advance the state-of-the-art, we leverage the power of generative views, structured learning, and evidential learning towards mitigating gender classification bias. We demonstrate the superiority of our bias mitigation strategy in improving classification accuracy and reducing bias across gender-racial groups through extensive experimental validation, resulting in state-of-the-art performance in intra- and cross dataset evaluations.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 43 of its 73 references that are in the map. First posted on arXiv 17 Aug 2022.

Builds on

43 of 73 references.

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31 more
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Cited by year

Citing papers per year: 2022: 1; 2023: 1; 2024: 4; 2025: 1.

7 papers.

  1. 2024Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigationcited by 66
  2. 2024FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Featurescited by 3
  3. 2024A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classificationcited by 2
  4. 2022Is Facial Recognition Biased at Near-Infrared Spectrum As Well?cited by 1
  5. 2023Boosting Fair Classifier Generalization through Adaptive Priority Reweighingcited by 1
  6. 2024Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attentioncited by 1
  7. 2025Leveraging Text Guidance for Enhancing Demographic Fairness in Gender Classificationcited by 0