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 …
Perturbing across the feature hierarchy to improve standard and strict blackbox attack transferability
We consider the blackbox transfer-based targeted adversarial attack threat model in the
realm of deep neural network (DNN) image classifiers. Rather than focusing on crossing …
realm of deep neural network (DNN) image classifiers. Rather than focusing on crossing …
Self-supervised object detection from egocentric videos
Understanding the visual world from the perspective of humans (egocentric) has been a
long-standing challenge in computer vision. Egocentric videos exhibit high scene complexity …
long-standing challenge in computer vision. Egocentric videos exhibit high scene complexity …
X-ray Testing
D Mery, D Mery - Computer Vision for X-Ray Testing: Imaging, Systems …, 2015 - Springer
X-ray testing has been developed for the inspection of materials or objects, where the aim is
to analyze—nondestructively—those inner parts that are undetectable to the naked eye …
to analyze—nondestructively—those inner parts that are undetectable to the naked eye …
Towards more efficient security inspection via deep learning: A task-driven X-ray image cropping scheme
X-ray imaging machines are widely used in border control checkpoints or public
transportation, for luggage scanning and inspection. Recent advances in deep learning …
transportation, for luggage scanning and inspection. Recent advances in deep learning …
X-ray image analysis for explosive circuit detection using deep learning algorithms
X-ray imaging technologies find applications across various domains, including medical
imaging in health institutions or security in military facilities and public institutions. X-ray …
imaging in health institutions or security in military facilities and public institutions. X-ray …
YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities
N Rane - Available at SSRN 4624206, 2023 - papers.ssrn.com
The rise of Industry 4.0 and the emerging paradigm of Industry 5.0 have driven
unprecedented technological progress in various fields. Central to this transformation are …
unprecedented technological progress in various fields. Central to this transformation are …
Object detection and X-ray security imaging: A survey
J Wu, X Xu, J Yang - IEEE Access, 2023 - ieeexplore.ieee.org
Security is paramount in public places such as subways, airports, and train stations, where
security screeners use X-ray imaging technology to check passengers' luggage for potential …
security screeners use X-ray imaging technology to check passengers' luggage for potential …
Object detection as a positive-unlabeled problem
As with other deep learning methods, label quality is important for learning modern
convolutional object detectors. However, the potentially large number and wide diversity of …
convolutional object detectors. However, the potentially large number and wide diversity of …