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In your paper, it's said that the centroid of class as average of features over a mini-batch which implies you update the centroid during training according to different mini-batches. But it's also said that "the features are initialized from pretrained models and the initial value of centroid is thereby obtained". As the centroid is determined by a mini-batch, why a initial value is needed?
The text was updated successfully, but these errors were encountered:
In your paper, it's said that the centroid of class as average of features over a mini-batch which implies you update the centroid during training according to different mini-batches. But it's also said that "the features are initialized from pretrained models and the initial value of centroid is thereby obtained". As the centroid is determined by a mini-batch, why a initial value is needed?
The text was updated successfully, but these errors were encountered: