Learning second order local anomaly for general face forgery detection

J Fei, Y Dai, P Yu, T Shen, Z Xia… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this work, we propose a novel method to improve the generalization ability of CNN-based
face forgery detectors. Our method considers the feature anomalies of forged faces caused …

Learning Second Order Local Anomaly for General Face Forgery Detection

J Fei, Y Dai, P Yu, T Shen, Z Xia, J Weng - arXiv preprint arXiv:2209.15490, 2022 - arxiv.org
In this work, we propose a novel method to improve the generalization ability of CNN-based
face forgery detectors. Our method considers the feature anomalies of forged faces caused …

[PDF][PDF] Learning Second Order Local Anomaly for General Face Forgery Detection

J Fei, Y Dai, P Yu, T Shen, Z Xia, J Weng - openaccess.thecvf.com
In this work, we propose a novel method to improve the generalization ability of CNN-based
face forgery detectors. Our method considers the feature anomalies of forged faces caused …

Learning Second Order Local Anomaly for General Face Forgery Detection

J Fei, Y Dai, P Yu, T Shen, Z Xia… - 2022 IEEE/CVF …, 2022 - computer.org
In this work, we propose a novel method to improve the generalization ability of CNN-based
face forgery detectors. Our method considers the feature anomalies of forged faces caused …

Learning Second Order Local Anomaly for General Face Forgery Detection

J Fei, Y Dai, P Yu, T Shen, Z Xia… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
In this work, we propose a novel method to improve the generalization ability of CNN-based
face forgery detectors. Our method considers the feature anomalies of forged faces caused …

Learning Second Order Local Anomaly for General Face Forgery Detection

J Fei, Y Dai, P Yu, T Shen, Z Xia, J Weng - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
In this work, we propose a novel method to improve the generalization ability of CNN-based
face forgery detectors. Our method considers the feature anomalies of forged faces caused …