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Comparison with other active learning methods #43

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schubertm opened this issue Oct 1, 2021 · 1 comment
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Comparison with other active learning methods #43

schubertm opened this issue Oct 1, 2021 · 1 comment
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discussion Good discussion but maybe not applicable

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@schubertm
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schubertm commented Oct 1, 2021

Hi,

you compared your method with 2 baselines (random, entropy) and 2 other approaches (Core-set, CDAL) and you outperformed all of them. The code with your query function is running but where in the code can i find the 4 other query functions to compare them with your approach for my own dataset?

Thanks in advance :)

@yuantn
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yuantn commented Oct 8, 2021

Hi,

The code with 2 baselines (random and entropy) is easy to implement. You only need to modify the function calculate_uncertainty in mmdet/apis/test.py.

For 2 other approaches (Core-set and CDAL), please refer to here (Core-set) and here (CDAL).

It should be noted that all other methods do not use the two adversarial classifiers and the MIL classifier.

Hope this is useful for you :)

@yuantn yuantn added the discussion Good discussion but maybe not applicable label Oct 11, 2021
@yuantn yuantn closed this as completed Nov 1, 2021
yuantn added a commit that referenced this issue Apr 21, 2023
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