Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference40 articles.
1. Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection;Jiang,2020
2. C. Yang, S.-N. Lim, One-Shot Domain Adaptation For Face Generation, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 5921–5930.
3. K. Sun, H. Liu, Q. Ye, J. Liu, Y. Gao, L. Shao, R. Ji, Domain General Face Forgery Detection by Learning to Weight, in: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, 2021, pp. 2638–2646.
4. Forensictransfer: Weakly-supervised domain adaptation for forgery detection;Cozzolino,2018
5. J. Kim, J. Jeong, J. Shin, M2m: Imbalanced classification via major-to-minor translation, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 13896–13905.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献