T.W. Webb
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery
Webb, T.W.; Bhowmik, N.; Gaus, Y.F.A.; Breckon, T.P.
Citation
Webb, T., Bhowmik, N., Gaus, Y., & Breckon, T. (2021, December). Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. Presented at 20th IEEE International Conference on Machine Learning Applications
| Presentation Conference Type | Conference Paper (published) |
|---|---|
| Conference Name | 20th IEEE International Conference on Machine Learning Applications |
| Acceptance Date | Sep 20, 2021 |
| Publication Date | Dec 13, 2021 |
| Deposit Date | Oct 13, 2021 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 610-615 |
| DOI | https://doi.org/10.1109/icmla52953.2021.00102 |
| Public URL | https://durham-repository.worktribe.com/output/1139775 |
| Additional Information | Date Added to IEEE Xplore: 25 January 2022 Event url: https://www.icmla-conference.org/icmla21/ |
You might also like
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
(2023)
Journal Article
Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation
(2021)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search