F2Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection

C Miao, Z Tan, Q Chu, H Liu, H Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In recent years, face forgery detectors have aroused great interest and achieved impressive
performance, but they are still struggling with generalization and robustness. In this work, we …

A hierarchical feature selection strategy for deepfake video detection

S Mohiuddin, KH Sheikh, S Malakar… - Neural Computing and …, 2023 - Springer
Digital face manipulation has become a concern in the last few years due to its harmful
impacts on society. It is especially concerning for high-profile celebrities because their …

MCS-GAN: A different understanding for generalization of deep forgery detection

S Xiao, G Lan, J Yang, W Lu, Q Meng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
After several years of development, deep synthesis technology has made significant
progress in image and video synthesis. Deep forgery represented by Deepfakes has …

Beyond the prior forgery knowledge: Mining critical clues for general face forgery detection

A Luo, C Kong, J Huang, Y Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Face forgery detection is essential in combating malicious digital face attacks. Previous
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …

DeepFake detection with multi-scale convolution and vision transformer

H Lin, W Huang, W Luo, W Lu - Digital Signal Processing, 2023 - Elsevier
With the help of some modern image generative techniques, it is possible to generate or
manipulate image or video contents without introducing any obvious visual artifacts. If these …

Adaptive Texture and Spectrum Clue Mining for Generalizable Face Forgery Detection

J Liu, J Xie, Y Wang, ZJ Zha - IEEE Transactions on Information …, 2023 - ieeexplore.ieee.org
Although existing face forgery detection methods achieve satisfactory performance under
closed within-dataset scenario where training and testing sets are created by the same …

LDFNet: Lightweight dynamic fusion network for face forgery detection by integrating local artifacts and global texture information

Z Guo, L Wang, W Yang, G Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Face forgery detection has become a new research hotspot. Though existing detection
works have achieved impressive performance, they are difficult to achieve a proper trade-off …

Replay attention and data augmentation network for 3-D face and object reconstruction

Z Zhou, L Li, S Wu, X Li, K Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
3D face reconstruction from single-view images plays an important role in the field of
biometrics, which is a long-standing challenging problem in the wild. Traditional 3DMM …

The Curriculum of Islamic Religious Education in the Whirlwind of Independent Education and Its Implementation on Learning

A Halim, H Jamil, M Miswanto… - … : Jurnal Pemikiran Dan …, 2023 - ejournal.umm.ac.id
The curriculum is an important tool in the learning process that should provide guidance and
direction for educational performance. Islamic religious education as an effort to internalize …

Attention Consistency Refined Masked Frequency Forgery Representation for Generalizing Face Forgery Detection

D Liu, T Chen, C Peng, N Wang, R Hu… - arXiv preprint arXiv …, 2023 - arxiv.org
Due to the successful development of deep image generation technology, visual data
forgery detection would play a more important role in social and economic security. Existing …