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2019 IEEE International Symposium on Technologies for Homeland Security (HST)
X-ray imagery security screening is essential to maintaining transport security against a varying profile of prohibited items. Particular interest lies in the automatic detection and classification of prohibited items such as firearms and firearm components within complex and cluttered X-ray security imagery. We address this problem by exploring various end-to-end object detection Convolutional Neural Network (CNN) architectures. We evaluate several leading variants spanning the Faster R-CNN,doi:10.1109/hst47167.2019.9032917 fatcat:dipqmtntdvddpfabfye7ucgfsu