An evaluation of region based object detection strategies within X-ray baggage security imagery

@article{Akay2017AnEO,
  title={An evaluation of region based object detection strategies within X-ray baggage security imagery},
  author={S. Akçay and T. Breckon},
  journal={2017 IEEE International Conference on Image Processing (ICIP)},
  year={2017},
  pages={1337-1341}
}
  • S. Akçay, T. Breckon
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Image Processing (ICIP)
Here we explore the applicability of traditional sliding window based convolutional neural network (CNN) detection pipeline and region based object detection techniques such as Faster Region-based CNN (R-CNN) and Region-based Fully Convolutional Networks (R-FCN) on the problem of object detection in X-ray security imagery. Within this context, with limited dataset availability, we employ a transfer learning paradigm for network training tackling both single and multiple object detection… Expand
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