most citedThe Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery

17 citations · 17 across the 1 of their papers we have counts for

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1 paper

cs.CV2019★ 17 cited

The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery

Neelanjan Bhowmik, Qian Wang, Yona Falinie A. Gaus +2

Detecting prohibited items in X-ray security imagery is pivotal in maintaining border and transport security against a wide range of threat profiles. Convolutional Neural Networks…