Catching Domain|Wise Independent Clues for Deepfake Detection
Catching Domain-Wise Independent Clues for Deepfake Detection
This paper proposes a novel deepfake detection method to improve generalizability. We observe domain-wise independent clues in deepfake images.
Catching Domain-Wise Independent Clues for Deepfake Detection
This approach uses an interpatch dissimilarity estimator and a multistream convolutional neural network to capture deepfake clues unique to each feature. By ...
ClueCatcher: Catching Domain-Wise Independent Clues for ...
This study presents a novel method that uses face cutout techniques to improve understanding of key facial features crucial in DeepFake detection, ...
ClueCatcher: Catching Domain-Wise Independent Clues for ... - OUCI
Deepfake detection is a focus of extensive research to combat the proliferation of manipulated media. Existing approaches suffer from limited ...
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ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection · EUN-GI LEE et. al. (Go back to Literature Review). Related Patents. ID, Title ...
ClueCatcher: A Robust Approach to Detect Deepfakes
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Mathematics | Free Full-Text | ClueCatcher: Catching Domain-Wise ...
"ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection" Mathematics 11, no. 18: 3952. https://doi.org/10.3390/math11183952. Note that ...
ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection. EG Lee, I Lee, SB Yoo. Mathematics 11 (18), 3952, 2023. 6, 2023. Latent-per: Ica ...
Dodging DeepFake Detection via Implicit Spatial-Domain Notch ...
Our method indicates that existing detection methods highly leverage the information of artifact patterns for fake detection. The observation also raises an ...
A systematic literature map of deepfake spread on social media
The third method is behavioral analysis, which reveals intentions and motives by observing movements and s contextual cues. Overall, the topic of DF detection ...
ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection. EG Lee, I Lee, SB Yoo. Mathematics 11 (18), 3952, 2023. 5, 2023. Child FER: Domain ...
ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection. Eun-Gi Lee, Isack Lee, Seok-Bong Yoo. Deepfake detection is a focus of extensive ...
ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection ... IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for ...
ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection. EG Lee, I Lee, SB Yoo. Mathematics 11 (18), 3952, 2023. 6, 2023. Latent-per: Ica ...
Delving into Sequential Patches for Deepfake Detection
Other methods look for clues in the frequency domain. With. 2. Page 3. DCT transform, [44, 19, 29] fuse the low-level frequency pattern learning into CNN to ...
Frequency Domain Filtered Residual Network for Deepfake Detection
ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection · Eun-Gi LeeIsack LeeS. Yoo. Computer Science. Mathematics. 2023. TLDR. This approach ...
Spatial-frequency feature fusion based deepfake detection through ...
In this work, we propose a novel Deepfake detection method that integrates spatial and frequency domain information within a knowledge distillation framework ...
a comprehensive multilayer deepfake video detection framework
The third and final layer, referred to as the facial region intra-frame inconsistency feature extraction layer, is dedicated to uncovering the ...
How to Detect Deepfakes with Part 1: Is Generalizable ... - Devansh
Generalizable: Other Deepfake Detection solutions are often limited by their scope since they are trained to maximize performance on certain ...
GM-DF: Generalized Multi-Scenario Deepfake Detection - arXiv
Existing face forgery detection usually follows the paradigm of training models in a single domain, which leads to limited generalization ...