A cascaded U-nets model based on hybrid attention for video anomaly detection

Suyuan Li, Nan Jiang, Jia Qin, Jiangchang Gong, Yongheng Pang, Fuyao Wang

Open source

DOI: 10.1371/journal.pone.0357967
Published: 2026-10-29
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0357967,
  title = {A cascaded U-nets model based on hybrid attention for video anomaly detection},
  author = {Suyuan Li and Nan Jiang and Jia Qin and Jiangchang Gong and Yongheng Pang and Fuyao Wang},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0357967},
  url = {https://doi.org/10.1371/journal.pone.0357967}
}

RIS

TY  - JOUR
TI  - A cascaded U-nets model based on hybrid attention for video anomaly detection
AU  - Suyuan Li
AU  - Nan Jiang
AU  - Jia Qin
AU  - Jiangchang Gong
AU  - Yongheng Pang
AU  - Fuyao Wang
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0357967
UR  - https://doi.org/10.1371/journal.pone.0357967
ER  -

APA

Li, S., Jiang, N., Qin, J., Gong, J., Pang, Y., & Wang, F. (2026). A cascaded U-nets model based on hybrid attention for video anomaly detection. PLOS One. https://doi.org/10.1371/journal.pone.0357967

Source records

crossref · retrieved 2026-11-10T09:55:26.433Z