A boundary-regularization-enhanced video anomaly detection network based on context-adaptive spatio-temporal conditional diffusion.
- DOI
- 10.1016/j.neunet.2026.109330
- Published
- 2026 Dec
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109330,
title = {A boundary-regularization-enhanced video anomaly detection network based on context-adaptive spatio-temporal conditional diffusion.},
author = {Liu H and Sun G and Hu X and Liu T and Ma W},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109330},
url = {https://doi.org/10.1016/j.neunet.2026.109330}
}RIS
TY - JOUR TI - A boundary-regularization-enhanced video anomaly detection network based on context-adaptive spatio-temporal conditional diffusion. AU - Liu H AU - Sun G AU - Hu X AU - Liu T AU - Ma W PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109330 UR - https://doi.org/10.1016/j.neunet.2026.109330 ER -
APA
H, L., G, S., X, H., T, L., & W, M. (2026). A boundary-regularization-enhanced video anomaly detection network based on context-adaptive spatio-temporal conditional diffusion.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109330
Source records
- pubmed · retrieved 2026-09-26T06:31:44.721Z