Improving Face Recognition by Clustering Unlabeled Faces in the Wild

ECCV 2020 Aruni RoyChowdhuryXiang YuKihyuk SohnErik Learned-MillerManmohan Chandraker

While deep face recognition has benefited significantly from large-scale labeled data, current research is focused on leveraging unlabeled data to further boost performance, reducing the cost of human annotation. Prior work has mostly been in controlled settings, where the labeled and unlabeled data sets have no overlapping identities by construction... (read more)

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