【作者单位】1 Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China. ;2 Tibet Univ, Sch Engn, Lhasa, Peoples R China. ;3 Wright State Univ, Dept Elect Engn, Dayton, OH 45435 USA.
【年份】2022
【卷号】Vol.16 No.6
【页码】1657-1668
【ISSN】1751-9659
【摘要】 Unsupervised anomaly detection refers to the discovery of unconventional images that are globally or locally different from the training set. Recently, reconstruction-based anomaly detection methods have made great progress. However, most of the exis...
