UIA-ViT: Unsupervised inconsistency-aware method based on vision transformer for face forgery detection

W Zhuang, Q Chu, Z Tan, Q Liu, H Yuan, C Miao… - European conference on …, 2022 - Springer
Intra-frame inconsistency has been proved to be effective for the generalization of face
forgery detection. However, learning to focus on these inconsistency requires extra pixel …
被引用次数：62 相关文章

UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

W Zhuang, Q Chu, Z Tan, Q Liu, H Yuan, C Miao… - arXiv preprint arXiv …, 2022 - arxiv.org
Intra-frame inconsistency has been proved to be effective for the generalization of face
forgery detection. However, learning to focus on these inconsistency requires extra pixel …

UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection

W Zhuang, Q Chu, Z Tan, Q Liu, H Yuan… - … on Computer Vision, 2022 - dl.acm.org
Intra-frame inconsistency has been proved to be effective for the generalization of face
forgery detection. However, learning to focus on these inconsistency requires extra pixel …
[PDF] ecva.net

[PDF][PDF] UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

W Zhuang, Q Chu, Z Tan, Q Liu, H Yuan, C Miao, Z Luo… - ecva.net
Intra-frame inconsistency has been proved to be effective for the generalization of face
forgery detection. However, learning to focus on these inconsistency requires extra pixel …

UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

W Zhuang, Q Chu, Z Tan, Q Liu, H Yuan… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Intra-frame inconsistency has been proved to be effective for the generalization of face
forgery detection. However, learning to focus on these inconsistency requires extra pixel …