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Discriminative feature embedding is of critical worth in the sphere of large scale face recognition. During this paper, we propose a self residual attention-primarily based convolutional neural community (SRANet) for discriminative deal with function embedding, which aims to master the very long-vary dependencies of experience visuals by reducing t

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