Unsupervised Face Recognition

Unsupervised face recognition is a crucial branch of computer vision, aiming to automatically identify and verify faces without relying on labeled data. Its core objective is to utilize the underlying structures and patterns in unlabeled image sets to achieve efficient and accurate face recognition. The application value of this technology lies in its ability to significantly reduce the cost of data annotation and enhance the system's adaptability to new environments and scenarios, making it widely applicable in areas such as security surveillance and identity verification.