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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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10/10/2021
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery
The recent advancement in deep Convolutional Neural Network (CNN) has br...
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08/27/2021
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks
Automatic detection of prohibited items within complex and cluttered X-r...
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11/20/2019
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery
X-ray imagery security screening is essential to maintaining transport s...
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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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09/25/2019
The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery
Detecting prohibited items in X-ray security imagery is pivotal in maint...
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04/10/2019
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
X-ray baggage security screening is widely used to maintain aviation and...
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12/15/2017
