Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial Training

Author:

Li Yuanman1ORCID,Hu Liangpei1,Dong Li2ORCID,Wu Haiwei3ORCID,Tian Jinyu4,Zhou Jiantao3ORCID,Li Xia1ORCID

Affiliation:

1. College of Electronics and Information Engineering, Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China

2. Department of Computer Science, Ningbo University, Ningbo, China

3. Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China

4. School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review;Expert Systems with Applications;2024-09

2. A Novel Universal Image Forensics Localization Model Based on Image Noise and Segment Anything Model;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

3. Cascaded Adaptive Graph Representation Learning for Image Copy-Move Forgery Detection;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-05-29

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