Skip.Self attention GAN for anomaly detection
ChongZheng Na, Qichun Zhang, Yingnan Ma, Hanlin Sun, Yefeng Liu · International Journal of Systems Control and Communications · 2025
Generative adversarial network (GAN) has low discrimination ability for abnormal samples or noise data in anomaly detection tasks, which affects the detection effect.This paper proposes an improved model based on Skip-GANomaly network, which adds a self-attention module to the encoder of the generator to improve the model's ability to capture long-distance dependence of input data, so as to better understand the overall structure and local details of the image.Moreover, it dynamically focuses on the most important parts of the anomaly detection task, such as the shape, texture and colour of the object, so that the data representation ability and anomaly