An Optimized Audio–Visual Deepfake Detection Framework Using Mamba Vision Transformers with Linear Complexity
- DOI
- 10.3390/s26206406
- Published
- 2026-10-10
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26206406,
title = {An Optimized Audio–Visual Deepfake Detection Framework Using Mamba Vision Transformers with Linear Complexity},
author = {Aisha Arain and Bushra Naz and Sania Bhatti and Faisal Alhwikem and Fawwad Hassan Jaskani},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26206406},
url = {https://doi.org/10.3390/s26206406}
}RIS
TY - JOUR TI - An Optimized Audio–Visual Deepfake Detection Framework Using Mamba Vision Transformers with Linear Complexity AU - Aisha Arain AU - Bushra Naz AU - Sania Bhatti AU - Faisal Alhwikem AU - Fawwad Hassan Jaskani PY - 2026 JO - Sensors DO - 10.3390/s26206406 UR - https://doi.org/10.3390/s26206406 ER -
APA
Arain, A., Naz, B., Bhatti, S., Alhwikem, F., & Jaskani, F. H. (2026). An Optimized Audio–Visual Deepfake Detection Framework Using Mamba Vision Transformers with Linear Complexity. Sensors. https://doi.org/10.3390/s26206406
Source records
- crossref · retrieved 2026-11-08T07:48:03.976Z