ME: Multi-Task Edge-Enhanced for Image Forgery Localization
Abstract
References
Index Terms
- ME: Multi-Task Edge-Enhanced for Image Forgery Localization
Recommendations
PRNU-based Image Forgery Localization with Deep Multi-scale Fusion
Photo-response non-uniformity (PRNU), as a class of device fingerprint, plays a key role in the forgery detection/localization for visual media. The state-of-the-art PRNU-based forensics methods generally rely on the multi-scale trace analysis and result ...
Image Tampering Localization Using Unified Two-Stream Features Enhanced with Channel and Spatial Attention
Pattern Recognition and Computer VisionAbstractImage tampering localization has attracted much attention in recent years. To differentiate between tampered and pristine image regions, many methods have increasingly leveraged the powerful feature learning ability of deep neural networks. Most ...
Effective image tampering localization with multi-scale ConvNeXt feature fusion
AbstractWith the widespread use of powerful image editing tools, image tampering becomes easy and realistic. Existing image forensic methods still face challenges of low generalization performance and robustness. In this letter, we propose an effective ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Other conferences](/cms/asset/c9ed5279-89ed-4e1d-b48a-acc403495a2f/3647649.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 32Total Downloads
- Downloads (Last 12 months)32
- Downloads (Last 6 weeks)4
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format