In this paper, we propose a domain-general model, termed learning-to-weight (LTW), that
guarantees face detection performance across multiple domains, particularly the target …

With various facial manipulation techniques arising, face forgery detection has drawn
growing attention due to security concerns. Previous works always formulate face forgery …

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 …

Recently, Deepfake arises as a powerful tool to fool the existing real-world face detection
systems, which has received wide attention in both academia and society. Most existing …

Recent studies on face forgery detection have shown satisfactory performance for methods
involved in training datasets, but are not ideal enough for unknown domains. This motivates …

Current face forgery detection methods achieve high accuracy under the within-database
scenario where training and testing forgeries are synthesized by the same algorithm …

With the rapid development of facial manipulation techniques, face forgery has received
considerable attention in digital media forensics due to security concerns. Most existing …

It is necessary to develop effective face forgery detection methods with constantly evolving
technologies in synthesizing realistic faces which raises serious risks on malicious face …

Face forgery by deepfake is widely spread over the internet and has raised severe societal
concerns. Recently, how to detect such forgery contents has become a hot research topic …

Face forgery detection is raising ever-increasing interest in computer vision since facial
manipulation technologies cause serious worries. Though recent works have reached …