RESEARCH ON THE STATE-OF-THE-ART DEEP LEARNING BASED MODELS FOR FACE DETECTION AND RECOGNITION
The problem of building a face recognition pipeline faces numerous challenges such as changes in lighting, pose, and facial expressions. The main stages of the pipeline include detection, alignment, feature extraction, and face representation. Each of these stages is critically important for achieving accurate recognition.