Magnetic resonance (MR) and computer tomography (CT) imaging are valuabl...
Most semi-supervised learning (SSL) models entail complex structures and...
Generally, current image manipulation detection models are simply built ...
Magnetic resonance (MR) and computer tomography (CT) images are two typi...
Recently, generative steganography that transforms secret information to...
The objective of image manipulation detection is to identify and locate ...
An iterative method of learning has become a paradigm for training deep
...
Following the rapidly growing digital image usage, automatic image
categ...
A blind approach to evaluate the perceptual sharpness present in a natur...
Full-reference image quality assessment (FR-IQA) techniques compare a
re...
According to conventional neural network theories, the feature of
single...