Anomaly detection (AD) is an enduring topic, and it has been used in various fields, such as
fraud detection, industrial fault diagnosis, and medical image diagnosis. With the continuous …

Anomaly detection has been recently proposed as a visual scene understanding task and
widely applied in industrial detection. Traditional unsupervised methods aim to enhance …

Описываются различные подходы к процессу выявления аномалии выборки и
специфика их использования. Обнаружение аномалий относится к поиску …

In this study, we present the few-shot generative adversarial network (FS-GAN) model,
which integrates few-shot learning and a generative adversarial network with an …

In the field of aerospace, the abnormal detection of data is of great significance. The rapid
and effective detection of abnormal parameters is key to find potential failures of spacecraft …