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 …
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 …
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 …
Baggage threat recognition using deep low-rank broad learning detector
In the last two decades, monitoring contraband data concealed within baggage has become
one of the most pressing security issues. Manual screening of baggage is a time-consuming …
one of the most pressing security issues. Manual screening of baggage is a time-consuming …
MFA-net: Object detection for complex X-ray cargo and baggage security imagery
Deep convolutional networks have been developed to detect prohibited items for automated
inspection of X-ray screening systems in the transport security system. To our knowledge …
inspection of X-ray screening systems in the transport security system. To our knowledge …
Cascaded structure tensor for robust baggage threat detection
In the last two decades, baggage scanning has become one of the prime aviation security
concerns worldwide. Manual screening of the baggage items is tedious and an error-prone …
concerns worldwide. Manual screening of the baggage items is tedious and an error-prone …
Balanced affinity loss for highly imbalanced baggage threat contour-driven instance segmentation
Autonomous detection of threat items from baggage X-ray imagery is one of the most vital
and challenging tasks. Manual detection of these items is a cumbersome, slow, and error …
and challenging tasks. Manual detection of these items is a cumbersome, slow, and error …
FDTNet: Enhancing frequency-aware representation for prohibited object detection from X-ray images via dual-stream transformers
Z Zhu, Y Zhu, H Wang, N Wang, J Ye, X Ling - Engineering Applications of …, 2024 - Elsevier
With the extensive application of object detection in intelligent security, the demand for
detecting prohibited items in X-ray images has become increasingly stringent. Unlike natural …
detecting prohibited items in X-ray images has become increasingly stringent. Unlike natural …