Results 271 to 280 of about 4,729,114 (317)

Distilled transformers with locally enhanced global representations for face forgery detection

Pattern Recognition
Face forgery detection (FFD) is devoted to detecting the authenticity of face images. Although current CNN-based works achieve outstanding performance in FFD, they are susceptible to capturing local forgery patterns generated by various manipulation ...
Yaning Zhang, Qiufu Li, Zitong Yu, Linlin Shen   +3 more
semanticscholar   +1 more source

Deep Learning Technology for Face Forgery Detection: A Survey

Neurocomputing
Currently, the rapid development of computer vision and deep learning has enabled the creation or manipulation of high-fidelity facial images and videos via deep generative approaches.
Lixia Ma, Puning Yang, Yuting Xu, Ziming Yang, Peipei Li, Huaibo Huang   +5 more
semanticscholar   +1 more source

Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization

ACM Multimedia
Recently, a novel form of audio partial forgery has posed challenges to its forensics, requiring advanced countermeasures to detect subtle forgery manipulations within long-duration audio.
Junyan Wu, Wei Lu, Xiangyang Luo, Rui Yang, Qian Wang, Xiaochun Cao   +5 more
semanticscholar   +1 more source

Digital Image Forgery Detection with Focus on a Copy-Move Forgery Detection: A Survey

2023 International Conference on Cyberworlds (CW), 2023
Sami Gazzah, Lamia Rzouga Haddada, Isam Shallal, Najoua Essoukri Ben Amara   +3 more
openaire   +1 more source

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection

Computer Vision and Pattern Recognition
The rapid advancement of face forgery techniques has introduced a growing variety of forgeries. Incremental Face Forgery Detection (IFFD), involving gradually adding new forgery data to fine-tune the previously trained model, has been introduced as a ...
Jikang Cheng, Zhiyuan Yan, Ying Zhang, Li Hao, Jiaxin Ai, Qin Zou, Chen Li, Zhongyuan Wang   +7 more
semanticscholar   +1 more source

MFCLIP: Multi-Modal Fine-Grained CLIP for Generalizable Diffusion Face Forgery Detection

IEEE Transactions on Information Forensics and Security
The rapid development of photo-realistic face generation methods has raised significant concerns in society and academia, highlighting the urgent need for robust and generalizable face forgery detection (FFD) techniques.
Yaning Zhang, Tianyi Wang, Zitong Yu, Zan Gao, Linlin Shen, Shengyong Chen   +5 more
semanticscholar   +1 more source

Improving Generalization by Commonality Learning in Face Forgery Detection

IEEE Transactions on Information Forensics and Security, 2022
Peipeng Yu, Jianwei Fei, Zhihua Xia
exaly  

SNIS: A Signal Noise Separation-Based Network for Post-Processed Image Forgery Detection

IEEE Transactions on Circuits and Systems for Video Technology, 2023
Jiaxin Chen, Xin Liao, Zhenxing Qian
exaly  

PRRNet: Pixel-Region relation network for face forgery detection

Pattern Recognition, 2021
Hongtao Xie, Zheng-Jun Zha, Lingyun Yu   +2 more
exaly  

A survey on deep learning-based image forgery detection

Pattern Recognition, 2023
Mohsen Sardari Zarchi
exaly