What is it about?
Anomaly detection(AD) aims to detect local image regions that significantly deviate from normal appearance. We propose a new method to address the single pseudo-anomaly type and high false positive detection of the existing methods, and extensive experiments demonstrate the effectiveness and superiority of the proposed method.
Featured Image
Photo by Rob Lambert on Unsplash
Read the Original
This page is a summary of: Robust Anomaly Detection and Localization via Simulated Anomalies, December 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3574131.3574463.
You can read the full text:
Contributors
The following have contributed to this page
