Learn with Diversity and from Harder Samples: Improving the Generalization of CNN-Based Detection of Computer-Generated Images
- DOI
- 10.1016/j.fsidi.2020.301023
- Published
- 2020-12-01
- Container
- Forensic Science International: Digital Investigation
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.fsidi.2020.301023,
title = {Learn with Diversity and from Harder Samples: Improving the Generalization of CNN-Based Detection of Computer-Generated Images},
author = {Weize Quan and Kai Wang and Dong-Ming Yan and Xiaopeng Zhang and Denis Pellerin},
year = {2020},
journal = {Forensic Science International: Digital Investigation},
doi = {10.1016/j.fsidi.2020.301023},
url = {https://doi.org/10.1016/j.fsidi.2020.301023}
}RIS
TY - JOUR TI - Learn with Diversity and from Harder Samples: Improving the Generalization of CNN-Based Detection of Computer-Generated Images AU - Weize Quan AU - Kai Wang AU - Dong-Ming Yan AU - Xiaopeng Zhang AU - Denis Pellerin PY - 2020 JO - Forensic Science International: Digital Investigation DO - 10.1016/j.fsidi.2020.301023 UR - https://doi.org/10.1016/j.fsidi.2020.301023 ER -
APA
Quan, W., Wang, K., Yan, D., Zhang, X., & Pellerin, D. (2020). Learn with Diversity and from Harder Samples: Improving the Generalization of CNN-Based Detection of Computer-Generated Images. Forensic Science International: Digital Investigation. https://doi.org/10.1016/j.fsidi.2020.301023
Source records
- hal · retrieved 2026-09-25T17:40:04.238Z