Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos
Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos
Detecting manipulated images and videos is an important topic in digital media forensics. Most detection methods use binary classification to determine the probability of a query being manipulated. Another important topic is locating manipulated regions (i.e., performing segmentation), which are mostly created by three commonly used attacks: removal, copy-move, and …