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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: "didemo_train.json" |
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- split: test |
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path: "didemo_test.json" |
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task_categories: |
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- text-to-video |
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- text-retrieval |
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- video-classification |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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--- |
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|
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Clone from friedrichor/DiDeMo. |
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|
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## About |
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[DiDeMo](https://openaccess.thecvf.com/content_iccv_2017/html/Hendricks_Localizing_Moments_in_ICCV_2017_paper.html) contains 10K long-form videos from Flickr. For each video, ~4 short sentences are annotated in temporal order. We follow the existing works to concatenate those short sentences and evaluate ‘paragraph-to-video’ retrieval on this benchmark. |
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We adopt the official split: |
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- Train: 8,395 videos, 8,395 captions (concatenate from 33,005 short captions) |
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- Val: 1,065 videos, 1,065 captions (concatenate from 4,290 short captions) (We don't have the collection yet.) |
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- Test: 1,004 videos, 1,004 captions (concatenate from 4,021 short captions) |
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--- |
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## Get Raw Videos |
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```bash |
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cat DiDeMo_Videos_mp4_train.tar.part-* | tar -vxf - |
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tar -xvf DiDeMo_Videos_mp4_test.tar |
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``` |
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--- |
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## Official Release |
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Video Release: [DiDeMoRelease](https://data.ciirc.cvut.cz/public/projects/LisaAnne/DiDeMoRelease/) |
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--- |
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## 🌟 Citation |
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```bibtex |
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@inproceedings{anne2017didemo, |
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title={Localizing moments in video with natural language}, |
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author={Anne Hendricks, Lisa and Wang, Oliver and Shechtman, Eli and Sivic, Josef and Darrell, Trevor and Russell, Bryan}, |
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booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, |
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year={2017} |
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} |
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``` |