deepJDOT
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Some questions about the Loss
Recently, I read your ECCV2018 paper. It's an awesome paper. However, when I read this repository, I had some questions about the loss. When you fixed gamma to optimize the embedding function (g) and classifier (f), you used the cross-entropy loss. When you fixed g and f to optimize the gamma, you used the L2 loss. However, in your paper, you used the same function which was Lt. May you tell me why the Lt is different in these two steps?