TFD-Net: Transformer Deviation Network for Weakly Supervised Anomaly Detection

Hongping Gan; Hongchan Zheng; Zhangfa Wu; Chunyan Ma; Jie Liu

doi:10.1109/tnsm.2024.3485545

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JOURNAL ARTICLE

TFD-Net: Transformer Deviation Network for Weakly Supervised Anomaly Detection

Hongping Gan Hongchan Zheng Zhangfa Wu Chunyan Ma Jie Liu

Year: 2024 Journal: IEEE Transactions on Network and Service Management Vol: 22 (1)Pages: 941-954 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tnsm.2024.3485545

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Keywords:

Anomaly detection Computer science Transformer Anomaly (physics) Standard deviation Artificial intelligence Data mining Pattern recognition (psychology) Electrical engineering Voltage Physics Mathematics Statistics Engineering

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

TFD-Net: Transformer Deviation Network for Weakly Supervised Anomaly Detection

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