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softmax vs cosine softmax ?  #257

@YoungjaeDev

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@YoungjaeDev

Hi
In the official code (https://github.com/nwojke/deep_sort), he focused on generative learning using cosine_softmax loss
image

However, in the code implemented by pytorch that code refer to, it simply conducted a discrimitive learning with cross_entropy

criterion = torch.nn.CrossEntropyLoss()

Is there a big difference between the reason and the performance of this implementation?

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