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Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch

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Reconstruction loss is calculated between the embeddings (`embedding_yp - embedding_y_orig).pow(2).sum()`) which are the output of FC layers. Should the embeddings not be normalized before calculating the loss? I am getting...