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ronghuaiyang/arcface-pytorch

PyTorch implementation of ArcFace, a face recognition model that uses additive angular margin loss for improved facial feature embedding.

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This repository implements ArcFace, a state-of-the-art face recognition algorithm that optimizes the angular margin in the softmax loss to learn more discriminative deep face embeddings. The implementation uses ResNet-18 as the backbone network without squeeze-and-excitation blocks. It includes pretrained model weights and supports evaluation on the Labeled Faces in the Wild (LFW) benchmark dataset.

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