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03/02/2023
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption
Anomaly detection is the task of recognising novel samples which deviate...
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05/16/2022
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
Lossy image compression strategies allow for more efficient storage and ...
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12/01/2021
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery
Within commercial wind energy generation, the monitoring and predictive ...
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04/28/2021
PANDA : Perceptually Aware Neural Detection of Anomalies
Semi-supervised methods of anomaly detection have seen substantial advan...
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11/19/2019
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery
X-ray security screening is in widespread use to maintain transportation...
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04/10/2019