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An emergency #22

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upccpu opened this issue Nov 22, 2017 · 1 comment
Closed

An emergency #22

upccpu opened this issue Nov 22, 2017 · 1 comment

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@upccpu
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upccpu commented Nov 22, 2017

Hi luo,
i deployed your code on a new dataset. It is bigger than COCO. With the XE loss, the results is ok. But, when i tried SCST after 20 epoches, the negative rewards did't seem to go down too much. In addition, i tried to use a learning parameter to balance XE loss and SCST loss( β*(SCST_loss)+(1-β)*(XE_loss)), however, it also did't work. Can you give me some advice. And, I need to correct your topdown work, the input of the att_lstm is not concat(xt,fc_feats,h2) , the fc_feats shoud be replaced by the mean of the pool5 features(resnet, bottom up....).

@ruotianluo
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try 30 epochs.

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