Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation

Author:

Yang Yu1,Gupta Aayush2,Feng Jianwei3,Singhal Prateek4,Yadav Vivek2,Wu Yue1,Natarajan Pradeep5,Hedau Varsha4,Joo Jungseock1

Affiliation:

1. Amazon Alexa AI, Los Angeles, CA, USA

2. Amazon Alexa AI, Seattle, WA, USA

3. Amazon Alexa AI, Vancouver, Canada

4. Amazon Alexa AI, Santa Clara, CA, USA

5. Amazon Alexa AI, Chicago, IL, USA

Publisher

ACM

Reference51 articles.

1. Mohsan Alvi , Andrew Zisserman , and Christoffer Nellåker . 2018 . Turning a blind eye: Explicit removal of biases and variation from deep neural network embeddings . In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0-0. Mohsan Alvi, Andrew Zisserman, and Christoffer Nellåker. 2018. Turning a blind eye: Explicit removal of biases and variation from deep neural network embeddings. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0-0.

2. Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure

3. Guha Balakrishnan , Yuanjun Xiong , Wei Xia , and Pietro Perona . 2021. Towards Causal Benchmarking of Bias in Face Analysis Algorithms . In Deep Learning-Based Face Analytics . Springer , 327--359. Guha Balakrishnan, Yuanjun Xiong, Wei Xia, and Pietro Perona. 2021. Towards Causal Benchmarking of Bias in Face Analysis Algorithms. In Deep Learning-Based Face Analytics. Springer, 327--359.

4. Shruti Bhargava and David Forsyth . 2019. Exposing and correcting the gender bias in image captioning datasets and models. arXiv preprint arXiv:1912.00578 ( 2019 ). Shruti Bhargava and David Forsyth. 2019. Exposing and correcting the gender bias in image captioning datasets and models. arXiv preprint arXiv:1912.00578 (2019).

5. Martim Brandao . 2019. Age and gender bias in pedestrian detection algorithms. arXiv preprint arXiv:1906.10490 ( 2019 ). Martim Brandao. 2019. Age and gender bias in pedestrian detection algorithms. arXiv preprint arXiv:1906.10490 (2019).

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