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The difference between strong_baseline and MMT proposed in unsupervised domain adaptation #22

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GJTNB opened this issue Nov 27, 2020 · 3 comments

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@GJTNB
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GJTNB commented Nov 27, 2020

I see that this benchmark network is from sec3.1 in the MMT paper. How is it trained? Does it require collaborative training?

@yxgeee
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yxgeee commented Nov 27, 2020

It does not require collaborative training. Only one network is used for training, supervised by a cross-entropy loss and a triplet loss.

@GJTNB
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GJTNB commented Nov 27, 2020

Do you use clustering? Are there any techniques in clustering? Or is this benchmark based on that paper?

@yxgeee
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yxgeee commented Feb 7, 2021

Yes, clustering is used for generating pseudo labels. Please refer to the code for the details. If you understand Chinese, you could also refer to https://apposcmf8kb5033.h5.xeknow.com/st/9k0kMekYC, where I have mentioned the architectures of this codebase, as well as the strong baseline design.

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