Comments (3)
val data is stored in the train_videodatainfo.json
file, which is provided by the organizer. Can you refer to the solution in #1?
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I'm feel sorry for the mistake,
And I'm interested in the baseline model, because I use tf more and can't understand the pytorch code now,
I read the paper, It is more like the v2_nagivator model? And how to use the feature to initial the lstm's state?
I can think about two idea, 1:use the feature and MLP layer to initial lstm's h and c 2:use the feature input to the first lstm time step, then the second lstm use the "bos" .
which is used in the paper?
Thanks again.
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I'm not sure what you mean. I guess you can find the details in the model.py
file.
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Related Issues (13)
- symbolic link in val_videodatainfo.json HOT 2
- No such file or directory: 'data/output/metadata/msrvtt_train_ciderdf.pkl.p' HOT 1
- Multi-GPU training support HOT 1
- Problem about multi processing HOT 1
- give an example to use make test for your model? HOT 3
- how do you extract c3d mfcc and category features? HOT 1
- can't reproduce to cider 54.2 HOT 4
- Mean pooling for ResNet features? HOT 1
- feature fusion? HOT 1
- about the average baseline metric of all for RL?
- WXE get the best result
- options
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