Results 51 to 60 of about 804 (252)

Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection

Complex & Intelligent Systems
Due to the increasing sophistication of face forgery techniques, the images generated are becoming more and more realistic and difficult for human eyes to distinguish.
Hanxian Duan, Qian Jiang, Xin Jin, Michal Wozniak, Yi Zhao, Liwen Wu, Shaowen Yao, Wei Zhou   +7 more
doaj   +1 more source

DIFLD: domain invariant feature learning to detect low-quality compressed face forgery images

Complex & Intelligent Systems, 2023
With the rapid development of deep learning, face forgery detection methods have also achieved remarkable progress. However, most methods suffer significant performance degradation on low-quality compressed face images.
Yan Zou, Chaoyang Luo, Jianxun Zhang
doaj   +1 more source

Contrastive learning-based general Deepfake detection with multi-scale RGB frequency clues

Journal of King Saud University: Computer and Information Sciences, 2023
Deepfake is a type of image and video face manipulation methods which could cause security and society threats. Although some related databases and detection models have been proposed for detecting face forgery media, achieving a generalizable detector ...
Fengkai Dong, Xiaoqiang Zou, Jiahui Wang, Xiyao Liu   +3 more
doaj   +1 more source

Epidermal Patch Technologies for Integrated Healthcare and Infection Management

Advanced Healthcare Materials, EarlyView.
Epidermal patches have evolved from simple wound coverings into multifunctional, skin‐conformable platforms integrating drug delivery, biosensing, and therapeutic functionalities. This review highlights their material innovations, fabrication strategies, and intelligent designs, including hydrogels, microneedles, and flexible electronics, while ...
Yuqi Wang, Atakan Tevlek, Pawel L. Urban, Boaz Mizrahi, Onome Ejeromedoghene, Roshan Deen, Yuanjing Lin, Jagan Mohan Dodda   +7 more
wiley   +1 more source

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

Advanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

TVN: Detect Deepfakes Images using Texture Variation Network

Inteligencia Artificial, 2023
Face manipulation technology is rapidly developing, making it impossible for human eyes to recognize fake face photos. Convolutional Neural Network (CNN) discriminators, on the other hand, can fast achieve high accuracy in distinguishing fake/real face ...
Haseena S, Saroja S, Shri Dharshini D, Nivetha A.   +3 more
doaj   +1 more source

Controllable Guide-Space for Generalizable Face Forgery Detection

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Accepted by ICCV ...
Ying Guo 0008, Cheng Zhen, Pengfei Yan
openaire   +2 more sources

Freeform Manufacturing of Plant‐Based Structural Colors for Scalable Photonic and Mechanochromic Devices

Advanced Materials, EarlyView.
A green, freeform manufacturing approach that utilizes robust aqueous two‐phase systems to create intricate and scalable photonic structures and non‐planar mechanochromic hydrogel actuators from plant‐based hydroxypropyl cellulose. This approach broadens the structural possibilities of sustainable photonic devices and mechanochromic systems, offering ...
Xiao Song, Peiqi Niu, Wenxi Gu, Chun Lam Clement Chan, Jiuhong Yi, Xu Liu, Peng Tan, Chon In Haydn Cheong, Qingwen Guan, Dan Fang, Bingpu Zhou, Zi Liang Wu, Ji Liu, Yan Yan Shery Huang, Iek Man Lei   +14 more
wiley   +1 more source

Wavelet-Based Texture Mining and Enhancement for Face Forgery Detection

IET Biometrics
Due to the abuse of deep forgery technology, the research on forgery detection methods has become increasingly urgent. The corresponding relationship between the frequency spectrum information and the spatial clues, which is often neglected by current ...
Xin Li, Hui Zhao, Bingxin Xu, Hongzhe Liu   +3 more
doaj   +1 more source

MDCF-Net: Multi-Scale Dual-Branch Network for Compressed Face Forgery Detection

IEEE Access
Face forgery detection aims to identify manipulated or altered facial images or videos created using artificial intelligence. Existing detection methods exhibit favorable performance on high-quality videos, but the videos in daily applications are ...
Jiting Zhou, Xinrui Zhao, Qian Xu, Pu Zhang, Zhihao Zhou   +4 more
doaj   +1 more source