3 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.IV2024★ 2 cited
Device (In)Dependence of Deep Learning-based Image Age Approximation
Robert Jöchl, Andreas Uhl
The goal of temporal image forensic is to approximate the age of a digital image relative to images from the same device. Usually, this is based on traces left during the image acq…
cs.CV2023★ 3 cited
Content Bias in Deep Learning Image Age Approximation: A new Approach Towards better Explainability
Robert Jöchl, Andreas Uhl
In the context of temporal image forensics, it is not evident that a neural network, trained on images from different time-slots (classes), exploits solely image age related featur…