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 …
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 …
Tensor pooling-driven instance segmentation framework for baggage threat recognition
Automated systems designed for screening contraband items from the X-ray imagery are still
facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we …
facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we …
Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats
Screening baggage against potential threats has become one of the prime aviation security
concerns all over the world, where manual detection of prohibited items is a time-consuming …
concerns all over the world, where manual detection of prohibited items is a time-consuming …
A novel incremental learning driven instance segmentation framework to recognize highly cluttered instances of the contraband items
Screening cluttered and occluded contraband items from baggage X-ray scans is a
cumbersome task even for the expert security staff. This article presents a novel strategy that …
cumbersome task even for the expert security staff. This article presents a novel strategy that …
Detect occluded items in X-ray baggage inspection
B Wang, Y Tian, J Wang, J Hu, D Liu, Z Xu - Computers & Graphics, 2023 - Elsevier
X-ray baggage inspection automatically determines whether there are prohibited items in
passenger luggage and has recently achieved good progress due to the development of …
passenger luggage and has recently achieved good progress due to the development of …
Unsupervised anomaly instance segmentation for baggage threat recognition
Identifying potential threats concealed within the baggage is of prime concern for the
security staff. Many researchers have developed frameworks that can automatically detect …
security staff. Many researchers have developed frameworks that can automatically detect …
Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation
The task of automatically identifying hazardous items in luggage through X-ray scans is
highly crucial, yet immensely complex. This method presents an improvement over the …
highly crucial, yet immensely complex. This method presents an improvement over the …
Incremental cross-domain adaptation for robust retinopathy screening via Bayesian deep learning
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause
severe visual impairments or even blindness. Many researchers have developed …
severe visual impairments or even blindness. Many researchers have developed …
Knowledge distillation driven instance segmentation for grading prostate cancer
Prostate cancer (PCa) is one of the deadliest cancers in men, and identifying cancerous
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …