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This repository is supported by 2018YFB1004300.
Chen J, Du H, Wu Y F, et al. Cross-modal video moment retrieval based on visual-textual relationship alignment (in
Chinese). Sci Sin Inform, 2020, 50: 862–876, doi: 10.1360/SSI-2019-0292
# create and activate a clean conda env
conda create -n crossgcn
conda activate crossgcn
# install the right pip and dependencies for the fresh python
conda install ipython pip
# install some dependencies
pip install yacs h5py terminaltables tqdm
# Note: you can use tsinghua mirror to speed up downloading if you are in China
# pip install yacs h5py terminaltables tqdm -i https://pypi.tuna.tsinghua.edu.cn/simple
# follow PyTorch installation in https://pytorch.org/get-started/locally/
# we give the instructions for CUDA 10.1, others are also okay
conda install pytorch torchvision cudatoolkit=10.1 torchtext -c pytorch
# Note: you can use tsinghua mirror to speed up downloading if you are in China
# conda install pytorch torchvision cudatoolkit=10.1 torchtext -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
# clone crossgcn and enjoy it!
git clone https://github.com/ChenJoya/crossgcn
1. TACoS Dataset
Repo | Rank1@0.1 | Rank1@0.3 | Rank1@0.5 | Rank5@0.1 | Rank5@0.3 | Rank5@0.5 |
---|---|---|---|---|---|---|
CrossGCN | 51.9 | 39.8 | 26.4 | 74.5 | 60.0 | 47.2 |
2. ActivityNet Dataset
Repo | Rank1@0.3 | Rank1@0.5 | Rank1@0.7 | Rank5@0.3 | Rank5@0.5 | Rank5@0.7 |
---|---|---|---|---|---|---|
CrossGCN | 62.7 | 47.2 | 27.9 | 88.1 | 79.1 | 64.2 |
Please refer to DATASET.md to prepare datasets.
We provide scripts for simplifying training and inference. Please refer to scripts/train.sh, scripts/eval.sh.
Please open a new issue. We would like to answer it. Please feel free to contact me: chenjoya@foxmail.com if you need my help.
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