Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging

S Akcay, T Breckon - Pattern Recognition, 2022 - Elsevier
X-ray security screening is widely used to maintain aviation/transport security, and its
significance poses a particular interest in automated screening systems. This paper aims to …

Going beyond xai: A systematic survey for explanation-guided learning

Y Gao, S Gu, J Jiang, SR Hong, D Yu, L Zhao - ACM Computing Surveys, 2024 - dl.acm.org
As the societal impact of Deep Neural Networks (DNNs) grows, the goals for advancing
DNNs become more complex and diverse, ranging from improving a conventional model …

Towards real-world X-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection

R Tao, Y Wei, X Jiang, H Li, H Qin… - Proceedings of the …, 2021 - openaccess.thecvf.com
Prohibited items detection in X-ray images often plays an important role in protecting public
safety, which often deals with color-monotonous and luster-insufficient objects, resulting in …

Towards real-world prohibited item detection: A large-scale x-ray benchmark

B Wang, L Zhang, L Wen, X Liu… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Automatic security inspection using computer vision technology is a challenging task in real-
world scenarios due to various factors, including intra-class variance, class imbalance, and …

Detecting overlapped objects in X-ray security imagery by a label-aware mechanism

C Zhao, L Zhu, S Dou, W Deng… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
One of the key challenges to the X-ray security check is to detect the overlapped items in
backpacks or suitcases in the X-ray images. Most existing methods improve the robustness …

Computer vision on x-ray data in industrial production and security applications: A comprehensive survey

M Rafiei, J Raitoharju, A Iosifidis - Ieee Access, 2023 - ieeexplore.ieee.org
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …

Nondestructive defect detection in castings by using spatial attention bilinear convolutional neural network

Z Tang, E Tian, Y Wang, L Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
X-ray images of castings are widely used in manufacturing for quality assurance. This article
investigates the X-ray-image-based defective detection. The main contributions in this article …

Recent advances in baggage threat detection: A comprehensive and systematic survey

D Velayudhan, T Hassan, E Damiani… - ACM Computing …, 2022 - dl.acm.org
X-ray imagery systems have enabled security personnel to identify potential threats
contained within the baggage and cargo since the early 1970s. However, the manual …

Towards dual-view x-ray baggage inspection: A large-scale benchmark and adaptive hierarchical cross refinement for prohibited item discovery

B Ma, T Jia, M Li, S Wu, H Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Dual-view baggage inspection has been widely applied in real-world scenarios, where
orthogonal viewpoints are deployed to capture diverse and complementary information …

X-ray baggage inspection with computer vision: A survey

D Mery, D Saavedra, M Prasad - Ieee Access, 2020 - ieeexplore.ieee.org
In the last decades, baggage inspection based on X-ray imaging has been established to
protect environments in which access control is of vital significance. In several public …