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Should the l_weight value change according to the dataset? #122

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ba77-ku opened this issue Oct 4, 2022 · 3 comments
Open

Should the l_weight value change according to the dataset? #122

ba77-ku opened this issue Oct 4, 2022 · 3 comments

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@ba77-ku
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ba77-ku commented Oct 4, 2022

l_weight = [0.7,0.7,1.1,1.1,0.3,0.3,1.3] for bdcn

Should this value be calculated for each different dataset? Can you explain the method you used?

@xavysp
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xavysp commented Oct 6, 2022

Hi, we have not explored this yet, apparently yes. But changes on l_weight may change slightly the results. Even changes in WD or LR.

@ba77-ku
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ba77-ku commented Oct 7, 2022

Accually ı changed some layers and ı improve my prediction result accuracy. but ı think, how can ı change l_weight values? thank for your attention.

@xavysp
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xavysp commented Oct 11, 2022

In my case, as you see [0.7,0.7,1.1,1.1,0.3,0.3,1.3] I set them with larger weights in 3rd, 4th and the fusion output. Since those outputs, according to the observation has better edge predictions.

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