Limits on transfer learning from photographic image data to X-ray threat detection-Reference-Cited by-同舟云学术

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Limits on transfer learning from photographic image data to X-ray threat detection

Published:2020-01-02 Issue:6 Volume:27 Page:1007-1020
ISSN:0895-3996
Container-title:Journal of X-Ray Science and Technology
language:
Short-container-title:XST

Author:

Caldwell Matthew¹,Griffin Lewis D.¹

Affiliation:

1. Department of Computer Science, University College London, London, UK

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Reference31 articles.

1. Akçay S. , Kundegorski M.E. , Devereux M. and Breckon T.P. , Transfer learning using convolutional neural networks for object classification within x-ray baggage security imagery, IEEE International Conference on Image Processing (2016), 1057–1061.

2. Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery;Akcay;IEEE Transactions on Information Forensics and Security,2018

3. Improving the Efficacy of Security Screening Tasks: A Review of Visual Search Challenges and Ways to Mitigate Their Adverse Effects;Biggs;Applied Cognitive Psychology,2014

4. The use of the area under the ROC curve in the evaluation of machine learning algorithms;Bradley;Pattern Recognition,1997

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