NSFF: Noise and semantic features fusion for AI-generated image detection
- DOI
- 10.1016/j.neunet.2026.109130
- Published
- 2026-11
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109130,
title = {NSFF: Noise and semantic features fusion for AI-generated image detection},
author = {Haoran Yang and Ruiqiang Ma and Gang Wang and Jien Kato},
year = {2026},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109130},
url = {https://doi.org/10.1016/j.neunet.2026.109130}
}RIS
TY - JOUR TI - NSFF: Noise and semantic features fusion for AI-generated image detection AU - Haoran Yang AU - Ruiqiang Ma AU - Gang Wang AU - Jien Kato PY - 2026 JO - Neural Networks DO - 10.1016/j.neunet.2026.109130 UR - https://doi.org/10.1016/j.neunet.2026.109130 ER -
APA
Yang, H., Ma, R., Wang, G., & Kato, J. (2026). NSFF: Noise and semantic features fusion for AI-generated image detection. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109130
Source records
- crossref · retrieved 2026-09-25T19:30:06.703Z