Facial Analysis

Facial analysis, aiming to automatically extract information from facial images and videos, is a rapidly evolving field with applications spanning diverse areas like security, healthcare, and human-computer interaction. Current research focuses on improving the accuracy and fairness of these systems, addressing biases related to demographics like age, gender, and skin tone, often employing deep learning models such as convolutional neural networks and transformers, along with techniques like self-supervised learning and knowledge distillation. The development of robust and unbiased facial analysis tools is crucial for mitigating societal biases embedded in existing systems and unlocking the technology's potential for beneficial applications in various fields.