[Arxiv] [Project] [Presentation]
If you find this helps your research, please cite:
@article{Xie2021FewShotAL,
title={Few-Shot Action Localization without Knowing Boundaries},
author={Tingting Xie and Christos Tzelepis and Fan Fu and Ioannis Patras},
journal={Proceedings of the 2021 International Conference on Multimedia Retrieval},
year={2021}
}
git clone https://github.com/June01/WFSAL-icmr21
cd WFSAL-icmr21
pip install -r requirements.txt
Please first create a data dir and then put all the features and annotations under it.
mkdir data
cd data
The feature and annotations used in this paper are originated from wtalc. The features for Thumos14 and ActivityNet1.2 dataset can be downloaded here, while annotations can be found in the original repo.
For thumos 14,
python main.py --split='cvpr18' --encoder --num_in=4 --tsm='ip' --sample_num_per_class=1 --batch_num_per_class=5
For ActivityNet1.2:
python main.py --split='cvpr18' --dataset='ActivityNet1.2' --num_in=4 --encoder --tsm='ip' --sample_num_per_class=1
For evaluation,
python main.py --split='cvpr18' --dataset=dataset --num_in=4 --encoder --tsm=ip --sample_num_per_class=1 --mode=testing --load=/path/to/model
Note, we report the median of 10 repetitions.
python eval_non_learning.py
We would like thank Dr. Hongtao Yang for his useful discussions around the tasks discussed in this paper as well as the evaluation metrics used. For any question, please file an issue or contact
t.xie@qmul.ac.uk