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how to train the caption model if bottom-up attention model gets various numbers of regions? #20

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ghost opened this issue Sep 25, 2019 · 1 comment

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@ghost
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ghost commented Sep 25, 2019

In caption model, we need region features from bottom-up attention model. But if we got different shape of features, for example, extract 10 regions from image A and 20 regions from image B, how can I train them in ONE batch?
Thanks in advance!

@njucckevin
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I have the same question.Have you found solution? thanks

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