no code implementations • 29 Dec 2022 • Jianwei Fei, Yunshu Dai, Huaming Wang, Zhihua Xia
Our goal is to reduce the features that are easy to learn in the training phase, so as to reduce the risk of overfitting on specific forgery types.
no code implementations • 27 Dec 2022 • Huaming Wang, Jianwei Fei, Yunshu Dai, Lingyun Leng, Zhihua Xia
To our knowledge, we are the first to conduct data augmentation in the fingerprint domain.
no code implementations • CVPR 2022 • Jianwei Fei, Yunshu Dai, Peipeng Yu, Tianrun Shen, Zhihua Xia, Jian Weng
We also propose a Local Enhancement Module (LEM) to improve the discrimination between local features of real and forged regions, so as to ensure accuracy in calculating anomalies.