Synthetic-to-Authentic Data Mixing for Face Recognition: Impact of Backbone Depth and Loss Functions
Data privacy regulations have restricted access to authentic face datasets, making synthetic alternatives increasingly necessary for face recognition training. Yet their joint effect with backbone depth and loss function on verification accuracy remains poorly understood. This paper presents a three-dimensional study u...