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Hi
In the official code (https://github.com/nwojke/deep_sort), he focused on generative learning using cosine_softmax loss
However, in the code implemented by pytorch that code refer to, it simply conducted a discrimitive learning with cross_entropy
deep_sort_pytorch/deep_sort/deep/train.py
Line 67 in 8cfe246
criterion = torch.nn.CrossEntropyLoss() |
Is there a big difference between the reason and the performance of this implementation?
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