@inproceedings{5d554718c5b8446ba591113961ce8d73,
title = "Deep Fusion Driven Semantic Segmentation for the Automatic Recognition of Concealed Contraband Items",
abstract = "Automatic detection of prohibited items in passenger baggage is a challenging task, especially in cluttered and occluded concealment scenarios. In this paper, we present a deep fusion driven semantic segmentation network that leverages multi-scale feature representations (extracted via CNN backbone) to generate highly accurate segmentation masks of the suspicious items irrespective of the clutter and concealment. Assessed with the public GDXray, SIXray and OPIXray datasets our proposed architecture reached a mean IoU performance of 0.7768, 0.6263, and 0.6713 respectively, outperforming the leading frameworks.",
keywords = "Aviation security, Convolutional neural networks, Object recognition, Semantic segmentation, X-ray baggage imagery",
author = "Muhammad Shafay and Taimur Hassan and Divya Velayudhan and Ernesto Damiani and Naoufel Werghi",
year = "2021",
month = apr,
day = "16",
doi = "10.1007/978-3-030-73689-7\_53",
language = "English",
isbn = "9783030736880",
series = "Advances in Intelligent Systems and Computing (AISC)",
publisher = "Springer, Cham",
pages = "550--559",
editor = "Ajith Abraham and Yukio Ohsawa and Niketa Gandhi and Jabbar, \{M. A.\} and Abdelkrim Haqiq and Se{\'a}n McLoone and Biju Issac",
booktitle = "Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2020",
note = "12th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2020 and 16th International Conference on Information Assurance and Security, IAS 2020 ; Conference date: 15-12-2020 Through 18-12-2020",
}