Anatomizing bias in facial analysis
Existing facial analysis systems have been shown to yield biased results against certain
demographic subgroups. Due to its impact on society, it has become imperative to ensure …
demographic subgroups. Due to its impact on society, it has become imperative to ensure …
A novel approach for bias mitigation of gender classification algorithms using consistency regularization
A Krishnan, A Rattani - Image and Vision Computing, 2023 - Elsevier
Published research has confirmed the bias of automated face-based gender classification
algorithms across gender-racial groups. Specifically, unequal accuracy rates were obtained …
algorithms across gender-racial groups. Specifically, unequal accuracy rates were obtained …
Attention-aware learning for hyperparameter prediction in image processing pipelines
Between the imaging sensor and the image applications, the hardware image signal
processing (ISP) pipelines reconstruct an RGB image from the sensor signal and feed it into …
processing (ISP) pipelines reconstruct an RGB image from the sensor signal and feed it into …
Deep generative views to mitigate gender classification bias across gender-race groups
S Ramachandran, A Rattani - International Conference on Pattern …, 2022 - Springer
Published studies have suggested the bias of automated face-based gender classification
algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained …
algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained …
Are face detection models biased?
The presence of bias in deep models leads to unfair outcomes for certain demographic
subgroups. Research in bias focuses primarily on facial recognition and attribute prediction …
subgroups. Research in bias focuses primarily on facial recognition and attribute prediction …
A self-supervised learning pipeline for demographically fair facial attribute classification
S Ramachandran, A Rattani - arXiv preprint arXiv:2407.10104, 2024 - arxiv.org
Published research highlights the presence of demographic bias in automated facial
attribute classification. The proposed bias mitigation techniques are mostly based on …
attribute classification. The proposed bias mitigation techniques are mostly based on …
An efficient face gender detector on a cpu with multi-perspective convolution
Intelligent digital signage demands software to work lightly in real-time on embedded
devices. Smart digital signage requires gender detection to deliver relevant and targeted …
devices. Smart digital signage requires gender detection to deliver relevant and targeted …
Uniform misclassification loss for unbiased model prediction
Deep learning algorithms have achieved tremendous success over the past few years.
However, the biased behavior of deep models, where the models favor/disfavor certain …
However, the biased behavior of deep models, where the models favor/disfavor certain …
People Analytics and the Promise of the Good Life—A Critical Transformative Perspective
Technologies such as people analytics software pose a potential threat towards the
(information) privacy of employees and can reinforce existing social injustice. Therefore, it is …
(information) privacy of employees and can reinforce existing social injustice. Therefore, it is …
On bias and fairness in deep learning-based facial analysis
Facial analysis systems are used in a variety of scenarios such as law enforcement, military,
and daily life, which impact important aspects of our lives. With the onset of the deep …
and daily life, which impact important aspects of our lives. With the onset of the deep …