Towards Federated Learning Based Contraband Detection Within Airport Baggage X-Rays
Author:
Affiliation:
1. School of Computing, Southern Illinois University,Carbondale,IL,62901
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9996381/9996455/09996472.pdf?arnumber=9996472
Reference19 articles.
1. Evaluating gan-based image augmentation for threat detection in large-scale xray security images;dumagpi;Applied Sciences,2021
2. Enhanced detection of threat materials by dark-field x-ray imaging combined with deep neural networks
3. An automated detection model of threat objects for X-ray baggage inspection based on depthwise separable convolution
4. Toward automatic threat recognition for airport x-ray baggage screening with deep convolutional object detection;liang;ArXiv Preprint,2019
5. Automated Deep Learning for Threat Detection in Luggage from X-Ray Images
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