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F2Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection
In recent years, face forgery detectors have aroused great interest and achieved impressive
performance, but they are still struggling with generalization and robustness. In this work, we …
performance, but they are still struggling with generalization and robustness. In this work, we …
UIA-ViT: Unsupervised inconsistency-aware method based on vision transformer for face forgery detection
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 …
forgery detection. However, learning to focus on these inconsistency requires extra pixel …
Hierarchical frequency-assisted interactive networks for face manipulation detection
Recently, face manipulation techniques have caused increasing trust concerns in our
society. Although current face manipulation detection methods achieve impressive …
society. Although current face manipulation detection methods achieve impressive …
Beyond the prior forgery knowledge: Mining critical clues for general face forgery detection
Face forgery detection is essential in combating malicious digital face attacks. Previous
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …
A hierarchical feature selection strategy for deepfake video detection
Digital face manipulation has become a concern in the last few years due to its harmful
impacts on society. It is especially concerning for high-profile celebrities because their …
impacts on society. It is especially concerning for high-profile celebrities because their …
MCS-GAN: A different understanding for generalization of deep forgery detection
After several years of development, deep synthesis technology has made significant
progress in image and video synthesis. Deep forgery represented by Deepfakes has …
progress in image and video synthesis. Deep forgery represented by Deepfakes has …
Ldfnet: Lightweight dynamic fusion network for face forgery detection by integrating local artifacts and global texture information
Face forgery detection has become a new research hotspot. Though existing detection
works have achieved impressive performance, they are difficult to achieve a proper trade-off …
works have achieved impressive performance, they are difficult to achieve a proper trade-off …
Adaptive texture and spectrum clue mining for generalizable face forgery detection
Although existing face forgery detection methods achieve satisfactory performance under
closed within-dataset scenario where training and testing sets are created by the same …
closed within-dataset scenario where training and testing sets are created by the same …
Transformer-based feature compensation and aggregation for deepfake detection
Deepfake detection has attracted increasing attention in recent years. In this paper, we
propose a transformer-based framework with feature compensation and aggregation (Trans …
propose a transformer-based framework with feature compensation and aggregation (Trans …
DeepFake detection with multi-scale convolution and vision transformer
With the help of some modern image generative techniques, it is possible to generate or
manipulate image or video contents without introducing any obvious visual artifacts. If these …
manipulate image or video contents without introducing any obvious visual artifacts. If these …