Skin Color

Skin color research currently focuses on mitigating bias in computer vision systems, particularly in applications like facial recognition and dermatological image analysis. This involves developing and evaluating multidimensional measures of skin color beyond simple tone scales, and employing techniques like disentanglement contrastive learning and knowledge distillation to create fairer and more robust models. Addressing these biases is crucial for ensuring equitable access to technology and accurate diagnoses in healthcare, highlighting the importance of this research for both scientific advancement and societal impact.