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Anomaly detection in radio galaxy data with trainable COSFIRE filters

Anomaly detection in radio galaxy data with trainable COSFIRE filters

24 May 2025
Steven Ndung’u
Trienko L. Grobler
S. Wijnholds
George Azzopardi
ArXivPDFHTML

Papers citing "Anomaly detection in radio galaxy data with trainable COSFIRE filters"

2 / 2 papers shown
Title
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and
  Localization
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
132
132
0
30 Sep 2021
Memorizing Normality to Detect Anomaly: Memory-augmented Deep
  Autoencoder for Unsupervised Anomaly Detection
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
Dong Gong
Lingqiao Liu
Vuong Le
Budhaditya Saha
M. Mansour
Svetha Venkatesh
Anton Van Den Hengel
UQCV
39
1,254
0
04 Apr 2019
1