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Features for clustering about mmt HOT 4 CLOSED

yxgeee avatar yxgeee commented on July 19, 2024
Features for clustering

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Comments (4)

yxgeee avatar yxgeee commented on July 19, 2024

Hi, thank you for your question.
Unfortunately, I did not conduct an ablation study on this component with the MMT framework.
But when conducting experiments on baseline models, i.e. training with only hard pseudo labels, I found that cf = (cf_1+cf_2)/2 performed better than simply taking cf_1 or cf_2. I did not try concatenation since this operation will increase the feature dimension, resulting in more computation cost in clustering.

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pmorerio avatar pmorerio commented on July 19, 2024

Thank you very much for the quick answer!

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pmorerio avatar pmorerio commented on July 19, 2024

Did you try averaging features also for testing the models?

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yxgeee avatar yxgeee commented on July 19, 2024

No, I only adopt one model in the inference, i.e. features for testing are output by one model directly.

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