Facial Landmark Detection

Facial landmark detection, the precise location of key facial features in images or videos, is crucial for numerous applications, including emotion recognition, driver monitoring, and healthcare. Current research emphasizes improving accuracy and efficiency, particularly in challenging conditions like varying lighting, occlusions, and diverse ethnicities, often employing lightweight CNNs, transformers, and multi-task learning frameworks to achieve real-time performance on resource-constrained devices. These advancements are driving progress in fields ranging from human-computer interaction to medical diagnostics, with a strong focus on developing robust and generalizable models capable of handling diverse facial characteristics and image qualities.