Dual-domain self-supervised feature alignment via spectral-spatial representation learning for deepfake anomaly detection.

He Y

DOI: 10.1371/journal.pone.0358049
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0358049,
  title = {Dual-domain self-supervised feature alignment via spectral-spatial representation learning for deepfake anomaly detection.},
  author = {He Y},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0358049},
  url = {https://doi.org/10.1371/journal.pone.0358049}
}

RIS

TY  - JOUR
TI  - Dual-domain self-supervised feature alignment via spectral-spatial representation learning for deepfake anomaly detection.
AU  - He Y
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0358049
UR  - https://doi.org/10.1371/journal.pone.0358049
ER  -

APA

Y, H. (2026). Dual-domain self-supervised feature alignment via spectral-spatial representation learning for deepfake anomaly detection.. PloS one. https://doi.org/10.1371/journal.pone.0358049

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pubmed · retrieved 2026-09-25T04:14:33.927Z