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 …

RGB oralscan video-based orthodontic treatment monitoring

Y Tian, H Fu, H Wang, Y Liu, Z Xu, H Chen, J Li… - Science China …, 2024 - Springer
Orthodontic treatment monitoring involves using current images and previous 3D models to
estimate the relative position of individual teeth before and after orthodontic treatment. This …

SC-YOLOv8: A Security Check Model for the Inspection of Prohibited Items in X-ray Images

L Han, C Ma, Y Liu, J Jia, J Sun - Electronics, 2023 - mdpi.com
X-ray package security check systems are widely used in public places, but they face
difficulties in accurately detecting prohibited items due to the stacking and diversity of …

Transformer-based few-shot object detection in traffic scenarios

E Sun, D Zhou, Y Tian, Z Xu, X Wang - Applied Intelligence, 2024 - Springer
In few-shot object detection (FSOD), many approaches retrain the detector in the inference
stage, which is unrealistic in real applications. Moreover, high-quality region proposals are …

Pixdet: Prohibited item detection in x-ray image based on whole-process feature fusion and local-global semantic dependency interaction

Y Xu, Q Zhang, Q Su, Y Lu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Prohibited item detection in X-ray images is an essential part of security inspection in
various scenarios. Currently, this work is mainly completed by expensive labor, as the …

Advancements in machine learning techniques for threat item detection in X-ray images: a comprehensive survey

A Singh, Dhiraj - International Journal of Multimedia Information …, 2024 - Springer
X-ray security screening is crucial in detecting prohibited objects and explosive materials
within passenger luggage, thus ensuring the safety of airports, railway stations, and aircraft …

GACA: A Gradient-Aware and Contrastive-Adaptive Learning Framework for Low-Light Image Enhancement

Z Yao, JN Su, G Fan, M Gan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Image gradients contain crucial information in the images. However, the gradient information
of low-light images is often concealed in darkness and is susceptible to noise contamination …

Material-aware path aggregation network and shape decoupled siou for x-ray contraband detection

N Xiang, Z Gong, Y Xu, L Xiong - Electronics, 2023 - mdpi.com
X-ray contraband detection plays an important role in the field of public safety. To solve the
multi-scale and obscuration problem in X-ray contraband detection, we propose a material …

Towards to Human Intention: A few-shot open-set object detection for X-ray hazard inspection

M Liu, X Di, T Lv, M Liao, X Zhang - Neurocomputing, 2024 - Elsevier
X-ray-prohibited item inspection is an important measure to maintain public safety and has
been widely applied in industries such as transportation and logistics. Without bells and …

A Coarse to Fine Detection Method for Prohibited Object in X-ray Images Based on Progressive Transformer Decoder

C Ma, L Du, Z Gao, L Zhuo, M Wang - Proceedings of the 32nd ACM …, 2024 - dl.acm.org
Currently, Transformer-based prohibited object detection methods in X-ray images appear
constantly, but there are still some shortcomings such as poor performance and high …