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Why do you subtract mean value of imageNet for preprocessing the training images?
In your paper,"Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly" Why do you subtract mean value of imageNet for preprocessing the training images? Could you explain me specifically?
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