"SCGAN: Extract Features From Normal Semantics for Unsupervised Anomaly ..."

Yang Dai et al. (2023)

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DOI: 10.1109/ACCESS.2023.3339780

access: open

type: Journal Article

metadata version: 2024-01-13

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Yang Dai, Lin Zhang, Fuyou Fan, Ya-Juan Wu, Ze-Kuan Zhao:
SCGAN: Extract Features From Normal Semantics for Unsupervised Anomaly Detection. IEEE Access 11: 137957-137968 (2023)

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