Search Results for author:
Found 2 papers, 0 papers with code
Auto-Focus Contrastive Learning for Image Manipulation Detection
However, we argue that those models achieve sub-optimal detection performance as it tends to: 1) distinguish the manipulation traces from a lot of noisy information within the entire image, and 2) ignore the trace relations among the pixels of each manipulated region and its surroundings.
Learning Hierarchical Graph Representation for Image Manipulation Detection
The objective of image manipulation detection is to identify and locate the manipulated regions in the images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
