Dual Weakly Supervised Anomaly Detection and Unsupervised Segmentation for Real-Time Railway Perimeter Intrusion Monitoring.

Wu D, Tian Y, Gao F, Wei X, Wang C

Open source

DOI
10.3390/s25206344
Published
2025 Oct 14
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s25206344,
  title = {Dual Weakly Supervised Anomaly Detection and Unsupervised Segmentation for Real-Time Railway Perimeter Intrusion Monitoring.},
  author = {Wu D and Tian Y and Gao F and Wei X and Wang C},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25206344},
  url = {https://doi.org/10.3390/s25206344}
}

RIS

TY  - JOUR
TI  - Dual Weakly Supervised Anomaly Detection and Unsupervised Segmentation for Real-Time Railway Perimeter Intrusion Monitoring.
AU  - Wu D
AU  - Tian Y
AU  - Gao F
AU  - Wei X
AU  - Wang C
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25206344
UR  - https://doi.org/10.3390/s25206344
ER  -

APA

D, W., Y, T., F, G., X, W., & C, W. (2025). Dual Weakly Supervised Anomaly Detection and Unsupervised Segmentation for Real-Time Railway Perimeter Intrusion Monitoring.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25206344

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