The following publications are possibly variants of this publication:
- A Dual Domain Attention Mechanism for Face Forgery DetectionYucong Suo, Xiaohan Zhao, Yuanfang Guo, Yangxi Li, Yunhong Wang. icb 2023: 1-10 [doi]
- Multi-level feature disentanglement network for cross-dataset face forgery detectionZhixiao Fu, Xinyuan Chen, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Xuhong Zhang 0002, Shouling Ji. ivc, 135:104686, 2023. [doi]
- Learning domain-invariant representation for generalizing face forgery detectionYuanlu Wu, Yan Wo, Caiyu Li, Guoqiang Han. compsec, 130:103280, 2023. [doi]
- Spatial and Frequency Domains Inconsistency Learning for Face Forgery DetectionCaili Gao, Peng Qiao, Yong Dou, Qisheng Xu, Xifu Qian, Wenyu Li. iconip 2024: 528-542 [doi]
- Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency DomainHonggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue 0001, Weiming Zhang, Nenghai Yu. cvpr 2021: 772-781 [doi]
- Hybrid Domain Meta-Learning Network for Face Forgery Detection and Localization in DeepfakesHongjie Zhao, Beibei Liu, Yongjian Hu, Jicheng Li, Chang-Tsun Li. ijcnn 2023: 1-8 [doi]
- Forgery face detection via adaptive learning from multiple expertsXinghe Fu, Shengming Li, Yike Yuan, Bin Li, Xi Li. ijon, 527:110-118, March 2023. [doi]