Results 31 to 40 of about 804 (252)
Face Forgery Algorithm Recognition Model Based on Multi-classification Dataset [PDF]
Jisuanji kexueAt present,the face detection methods mainly focus on the detection of the authenticity of faces,and there are few studies on the recognition of forgery algorithms,accompanied by poor image disturbance robustness and large resource occupation.What's more,
DING Bowen, LU Tianliang, PENG Shufan, GENG Haoqi, YANG Gang
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Face Forgery Detection Based on the Improved Siamese Network
Security and Communication Networks, 2022 Face tampering is an intriguing task in video/image genuineness identification and has attracted significant amounts of attention in recent years. In this work, we propose a face forgery detection method that consists of preprocessing, an improved Siamese network-based feature extractor (including a feature alignment module), and postprocessing (a ...
Bo Wang 0024 +5 more
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Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
CoRRICLR 2024 ...
Jiawei Liang +5 more
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Exploring Disentangled Content Information for Face Forgery Detection
, 2022 Convolutional neural network based face forgery detection methods have achieved remarkable results during training, but struggled to maintain comparable performance during testing. We observe that the detector is prone to focus more on content information than artifact traces, suggesting that the detector is sensitive to the intrinsic bias of the ...
Jiahao Liang, Huafeng Shi, Weihong Deng
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Exploring Frequency Adversarial Attacks for Face Forgery Detection
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted by ...
Shuai Jia +5 more
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Learning to mask: Towards generalized face forgery detection
CoRR, 2022 Incorrect experimental ...
Fei, Jianwei +3 more
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Lip forgery detection via spatial-frequency domain combination
网络与信息安全学报, 2022 In recent years, numerous “face-swapping” videos have emerged in social networks, one of the representatives is the lip forgery with speakers.While making life more entertaining for the public, it poses a significant crisis for personal privacy and ...
Jiaying LIN +3 more
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CORE: Consistent Representation Learning for Face Forgery Detection
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Accepted by CVPRW ...
Yunsheng Ni +5 more
openaire +2 more sources
Research on the Face Forgery Detection Model Based on Adversarial Training and Disentanglement
Applied SciencesWith the advancement of generative models, face forgeries are becoming increasingly realistic, making face forgery detection a hot topic in research. The primary challenge in face forgery detection is the inadequate generalization performance.
Yidi Wang, Hui Fu, Tongkai Wu
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Advanced Engineering Materials, EarlyView.Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source