A Framework for the Synthesis of X-Ray Security Inspection Images Based on Generative Adversarial Networks

A Framework for the Synthesis of X-Ray Security Inspection Images Based on Generative Adversarial Networks

Object detection of prohibited items in X-ray security inspection is challenging because of serious overlap, disorderly background, and high throughput. In the past few years, a variety of deep learning algorithms have been proposed and achieved satisfactory results. However, the performance of thes...

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Bibliographic Details
Main Authors: Jian Liu, Tim H. Lin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Image generation
data augmentation
object detection
X-ray security checking
generative adversarial network (GAN)
Online Access:https://ieeexplore.ieee.org/document/10158706/

Internet

https://ieeexplore.ieee.org/document/10158706/

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