Comments (2)
Hi,
I'm sorry for the issue you got.
I'm not really sure what is the problem here. I have asked someone to independently reproduce results from the pretrained models and pretty much it is similar to what in the paper.
As for the configuration files, I do think you need any adjustments. The issue you got possibly comes from the feature joining. Can you please remove the current features in your local storage then re-download and join them all together again to see if it helps? Also, please note that if you train the network yourself the results might vary a bit as PyTorch is not deterministic on different GPUs.
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OK,I‘ll try again. Thanks a lot : )
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Related Issues (19)
- A question about dataset HOT 6
- Data error HOT 4
- Training on TGIF-QA / FrameQA HOT 9
- A question of glove? HOT 3
- A problem of accuracy HOT 3
- Another way of downloading the tgif dataset HOT 2
- About the mutli-choice task in t-gif qa HOT 1
- MSRVTT-QA, MSVD-QA dataset HOT 2
- MSRVTT-QA dataset some videos loss HOT 2
- Question about the TGIFs dataset ?
- Low acc when validating msrvtt-qa dataset
- Motion model information HOT 2
- Pre-extracted features link not working HOT 36
- Video Processing HOT 1
- Decoder problem
- How much will the hinge loss converge to?
- dataset
- epoch
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