Learning-Based Image Synthesis for Hazardous Object Detection in X-Ray Security Applications

X-ray baggage inspection has been widely used for maintaining airport and transportation security. Towards automated inspection, recent deep learning-based methods have attempted to detect hazardous objects directly from X-ray images. Since it is challenging to collect a large number of training ima...

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Bibliographic Details
Main Authors: Hyo-Young Kim, Sung-Jin Cho, Seung-Jin Baek, Seung-Won Jung, Sung-Jea Ko
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9552004/

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