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# Data Preparation for FineAction-1.3
## Download Annotations
You can download the annotation by
```bash
bash download_annotation.sh
```
The annotation should be in `data/fineaction/annotations/`.
## Download Pre-extracted Features
Please put the downloaded feature under the path: `data/fineaction/features/`.
We provide the following pre-extracted features:
| Feature | Url | Backbone | Feature Extraction Setting |
| :-------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------------: | :-------------------------------------------------: |
| videomae_h | [InternVideo Repo](https://github.com/OpenGVLab/InternVideo/tree/main/Downstream/Temporal-Action-Localization#to-reproduce-our-results-of-internvideo) | VideoMAE-H-K700-16x4x1 | snippet_stride=16, clip_length=16, frame_interval=1 |
| videomaev2_g | [VideoMAEv2 Repo](https://github.com/OpenGVLab/VideoMAEv2/blob/master/docs/TAD.md) | VideoMAEv2-g-K710-16x4x1 | snippet_stride=16, clip_length=16, frame_interval=1 |
| internvideo2_1b | [Official Repo](https://github.com/OpenGVLab/video-mamba-suite/blob/main/video-mamba-suite/temporal-action-localization/README.md) | InternVideo2-6B | snippet_stride=4, clip_length=16, frame_interval=1 |
## Download Raw Videos
Please put the downloaded video under the path: `data/fineaction/raw_data/`.
You can download the raw video from [official website](https://github.com/Richard-61/FineAction).
## Citation
```BibTeX
@article{liu2022fineaction,
title={Fineaction: A fine-grained video dataset for temporal action localization},
author={Liu, Yi and Wang, Limin and Wang, Yali and Ma, Xiao and Qiao, Yu},
journal={IEEE Transactions on Image Processing},
year={2022},
publisher={IEEE}
}
```