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An Evaluation Of Region Based Object Detection Strategies Within X-Ray Baggage Security Imagery

Akcay, S.; Breckon, T.P.

Authors

Samet Akcay samet.akcay@durham.ac.uk
PGR Student Doctor of Philosophy



Citation

Akcay, S., & Breckon, T. (2017). An Evaluation Of Region Based Object Detection Strategies Within X-Ray Baggage Security Imagery. In Proc. Int. Conf. on Image Processing (1337-1341). https://doi.org/10.1109/ICIP.2017.8296499

Conference Name IEEE International Conference on Image Processing (ICIP)
Conference Location Beijing, China
Acceptance Date May 8, 2017
Publication Date 2017
Deposit Date Jul 4, 2017
Publisher Institute of Electrical and Electronics Engineers
Pages 1337-1341
Book Title Proc. Int. Conf. on Image Processing
DOI https://doi.org/10.1109/ICIP.2017.8296499
Keywords x-ray security screening, automatic threat detection, firearms detection, airport security, deep learning, region-based convolutional neural networks, CNN, R-CNN, R-FCN, RCNN, Faster RCNN, ResNet
Public URL https://durham-repository.worktribe.com/output/1148148
Publisher URL https://breckon.org/toby/publications/papers/akcay17region.pdf

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