Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning

11/25/2019
by   Mei Wang, et al.
0

Racial equality is an important theme of international human rights law, but it has been largely obscured when the overall face recognition accuracy is pursued blindly. More facts indicate racial bias indeed degrades the fairness of recognition system and the error rates on non-Caucasians are usually much higher than Caucasians. To encourage fairness, we introduce the idea of adaptive margin to learn balanced performance for different races based on large margin losses. A reinforcement learning based race balance network (RL-RBN) is proposed. We formulate the process of finding the optimal margins for non-Caucasians as a Markov decision process and employ deep Q-learning to learn policies for an agent to select appropriate margin by approximating the Q-value function. Guided by the agent, the skewness of feature scatter between races can be reduced. Besides, we provide two ethnicity aware training datasets, called BUPT-Globalface and BUPT-Balancedface dataset, which can be utilized to study racial bias from both data and algorithm aspects. Extensive experiments on RFW database show that RL-RBN successfully mitigates racial bias and learns more balanced performance for different races.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/13/2022

Meta Balanced Network for Fair Face Recognition

Although deep face recognition has achieved impressive progress in recen...
research
04/05/2023

Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention

Although face recognition has made impressive progress in recent years, ...
research
02/16/2020

Face Recognition: Too Bias, or Not Too Bias?

We reveal critical insights into problems of bias in state-of-the-art fa...
research
09/07/2021

Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets

Many existing works have made great strides towards reducing racial bias...
research
11/23/2021

Algorithmic Fairness in Face Morphing Attack Detection

Face morphing attacks can compromise Face Recognition System (FRS) by ex...
research
08/29/2022

Towards Robust Face Recognition with Comprehensive Search

Data cleaning, architecture, and loss function design are important fact...

Please sign up or login with your details

Forgot password? Click here to reset