4 papers · 1 filter
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus +1
Lossy image compression strategies allow for more efficient storage and transmission of data by encoding data to a reduced form. This is essential enable training with larger datas…
PANDA : Perceptually Aware Neural Detection of Anomalies
Jack W. Barker, Toby P. Breckon
Semi-supervised methods of anomaly detection have seen substantial advancement in recent years. Of particular interest are applications of such methods to diverse, real-world anoma…
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery
Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay +2
X-ray security screening is in widespread use to maintain transportation security against a wide range of potential threat profiles. Of particular interest is the recent focus on t…
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay +3
X-ray baggage security screening is widely used to maintain aviation and transport security. Of particular interest is the focus on automated security X-ray analysis for particular…