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Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging
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 …
significance poses a particular interest in automated screening systems. This paper aims to …
Going beyond xai: A systematic survey for explanation-guided learning
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
Dual-view baggage inspection has been widely applied in real-world scenarios, where
orthogonal viewpoints are deployed to capture diverse and complementary information …
orthogonal viewpoints are deployed to capture diverse and complementary information …
X-ray baggage inspection with computer vision: A survey
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 …
protect environments in which access control is of vital significance. In several public …