Investigating Translation Invariance and Shiftability in CNNs for Robust Multimedia Forensics: A JPEG Case Study
Author:
Affiliation:
1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
Funder
Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3658664.3659644
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3. Why do deep convolutional networks generalize so poorly to small image transformations;Azulay Aharon;J. Mach. Learn. Res.,2019
4. Mauro Barni, Luca Bondi, Nicolò Bonettini, Paolo Bestagini, Andrea Costanzo, Marco Maggini, Benedetta Tondi, and Stefano Tubaro. 2017. Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks. CoRR , Vol. abs/1708.00930 (2017). arxiv: 1708.00930 http://arxiv.org/abs/1708.00930
5. Identification of cut & paste tampering by means of double-JPEG detection and image segmentation
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