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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....).
The text was updated successfully, but these errors were encountered:
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....).
The text was updated successfully, but these errors were encountered: