Algorithmically Secure Classification of Weapons-Grade Nuclear Material for Treaty Verification
Abstract not provided.
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Jump to search filtersObject Detection of Components in a Radiograph for Treaty Verification Behind an Information Barrier (Powerpoint)
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Object Detection of Components in a Radiograph for Treaty Verification Behind an Information Barrier
Abstract not provided.
Intra-class data augmentation with deep generative models of threat objects in baggage radiographs
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Intra-class data augmentation with deep generative models of threat objects in baggage radiographs
Proceedings of SPIE - The International Society for Optical Engineering
Despite state-of-the-art deep learning-based computer vision models achieving high accuracy on object recognition tasks, x-ray screening of baggage at checkpoints is largely performed by hand. Part of the challenge in automation of this task is the relatively small amount of available labeled training data. Furthermore, realistic threat objects may have forms or orientations that do not appear in any training data, and radiographs suffer from high amounts of occlusion. Using deep generative models, we explore data augmentation techniques to expand the intra-class variation of threat objects synthetically injected into baggage radiographs using openly available baggage x-ray datasets. We also benchmark the performance of object detection algorithms on raw and augmented data.
Probabilistic Radioisotope Identification (PrRIID) Using List-Mode Gamma Ray Measurements
Abstract not provided.
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