For testing our final model, please run
python eval_gan.py;
For downloading the dictionaries, encoded features and well-trained models, please find them from this link.
For examples of filtered translation corpus, senetence scene graphs before and after augmentation, etc., please find them from this link.
More details will be updated to README.md later.
Thanks.
If you find UNISON useful, please consider citing the following paper:
Jiahui Gao, Zhou Yi, Philip LH Yu, Shafiq Joty, and Jiuxiang Gu. UNISON: Unpaired Cross-Lingual Image Captioning. AAAI-2022.
@inproceedings{gao2022unison,
title={UNISON: Unpaired Cross-Lingual Image Captioning},
author={Gao, Jiahui and Zhou, Yi and Yu, Philip LH and Joty, Shafiq and Gu, Jiuxiang},
booktitle={AAAI},
year={2022}
}