dyfine / sphericalembedding Goto Github PK
View Code? Open in Web Editor NEWofficial pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020
License: MIT License
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Can't find codes about "Face recognition task" and "Contrastive self-supervised learning task",can you provide them?
question on the equation 1 of origin paper
I just doubt the correctness of equation 1 in the origin paper. if f_i and f_j (feature before the normalization) is set to have the norm of 1, then the derivate in equation 1 should be f_j. But the right side of the equation looks like not to be f_j. Can you explain it?
where is loss+L-reg or SEC?
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