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What is Robust X-Ray Baggage Detection Using CNN about?

This article presents a novel method for automatic object detection in X-ray baggage inspection using deep convolutional neural networks (CNNs) to enhance public security. The proposed approach includes a specific data augmentation technique, a feature enhancement module, and the use of focal loss to address foreground-background imbalance, resulting in improved accuracy and robustness compared to existing algorithms. The study highlights the challenges of X-ray imaging and the need for automated systems to

Author

yeatlidiya65

Language

EN