Shrinking the Semantic Gap: Spatial Pooling of Local Moment Invariants for Copy-Move Forgery Detection. (arXiv:2207.09135v1 [cs.CV])

Copy-move forgery is a manipulation of copying and pasting specific patches
from and to an image, with potentially illegal or unethical uses. Recent
advances in the forensic methods for copy-move forgery have shown increasing
success in detection accuracy and robustness. However, for images with high
self-similarity or strong signal corruption, the existing algorithms often
exhibit inefficient processes and unreliable results. This is mainly due to the
inherent semantic gap between low-level visual representation and high-level
semantic concept. In this paper, …

arxiv cv detection gap pooling semantic