About this document
Semi-Supervised Image Manipulation Detection by windkihw is a document available to read on EtoBox.
This paper presents a semi-supervised framework for image manipulation localization that utilizes unannotated images to enhance deep learning model training. It introduces a residual enhancement module and a teacher-student model to improve the detection of manipulated regions in images, addressing the challenge of limited annotated data in image forensics. Experimental results demonstrate the effectiveness of the proposed method, which outperforms existing state-of-the-art techniques in the field.
- Author
- windkihw
- Language
- EN