2018
A Rotation-Invariant Convolutional Neural Network for Image Enhancement Forensics
ICASSP 2018accepted
Many proposed complex convolutional neural network (CNN) models in image forensics are with a large number of parameters, requiring a huge number of training data and having the risk of being overfitting. Considering the desired rotation invariance in the detection of some specific image manipulatio…