Comments (3)
We implemented the supervision loss here: https://github.com/sylvainma/Summarizer/blob/b83635f022641765729cc29af4de95bac7f1cdc1/summarizer/models/dsn.py#L101
It would be nice to have the authors confirming this is correct.
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This has been discussed in #7 and there is not (yet) implementation of it provided by the authors. With my team we have been working on an implementation of various video summarization models here and we plan to incorporate the supervised version of this model.
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@sylvainma Thank you very much. I have tested this & it seems to give a good result.
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Related Issues (20)
- Module Not Found Error HOT 15
- summary2video.py
- Question about Reward funtion ? HOT 1
- original Youtube and OVP datasets HOT 9
- How to find Reward Diversity score ?
- 0.0% Fscore for videos and probably wrong Summary. HOT 1
- Can not download the dataset.
- Could u tell me the relationship between 'gtscore' and 'gtsummary'? HOT 1
- Dataset for video summaization HOT 26
- Link to download dataset in repo is dead. HOT 2
- H5 dataset generation
- frame score
- Few Frame Ids from MachineSummary not available in VideoFrames generated. HOT 1
- Processed features and original videos HOT 1
- Problem with video index when running "summary2video.py" HOT 1
- GoogLe Net implementation HOT 5
- splits
- dist_mat = dist_mat.min(1, keepdim=True)[0] IndexError: Dimension out of range HOT 1
- DataSet Out of Date
- FileNotFoundError: [Errno 2] No such file or directory: 'path_to_your_model.pth.tar' HOT 1
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