【作者单位】1 School of Electrical and Information Engineering, Tianjin University, Tianjin, China 2 School of Engineering, Tibet University, Lhasa, China 3 Department of Electrical Engineering, Wright State University, Dayton Ohio,, 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...