AnoDFDNet: A Deep Feature Difference Network for Anomaly Detection

This paper proposed a novel anomaly detection (AD) approach of high-speed train images based on convolutional neural networks and the Vision Transformer. Different from previous AD works, in which anomalies are identified with a single image using classification, segmentation, or object detection me...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of sensors 2022-08, Vol.2022, p.1-14
Hauptverfasser:	Wang, Zhixue, Zhang, Yu, Luo, Lin, Wang, Nan
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Artificial neural networks Classification Datasets Defects Foreign bodies High speed rail Image classification Image segmentation Methods Object recognition Performance evaluation Plastics
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!