Yona Binti Abd Gaus yona.f.binti-abd-gaus@durham.ac.uk
Post Doctoral Research Associate
Yona Binti Abd Gaus yona.f.binti-abd-gaus@durham.ac.uk
Post Doctoral Research Associate
Dr Neelanjan Bhowmik neelanjan.bhowmik@durham.ac.uk
Post Doctoral Research Associate
Brian Isaac Medina brian.k.isaac-medina@durham.ac.uk
Postdoctoral Research Associate
Professor Toby Breckon toby.breckon@durham.ac.uk
Professor
Gaus, Y. F. A., Bhowmik, N., Isaac-Medina, B. K. S., & Breckon, T. P. (2024, June). Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. Presented at 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
Start Date | Jun 17, 2024 |
End Date | Jun 18, 2024 |
Acceptance Date | Apr 1, 2024 |
Online Publication Date | Sep 27, 2024 |
Publication Date | Sep 27, 2024 |
Deposit Date | Apr 23, 2024 |
Publicly Available Date | Oct 9, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Pages | 3142-3152 |
Series ISSN | 2160-7508 |
Book Title | 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
DOI | https://doi.org/10.1109/CVPRW63382.2024.00320 |
Keywords | x-ray, thermal, infrared, foundational model, SAM, segmentation, semantic segmentation, instance segmantation |
Public URL | https://durham-repository.worktribe.com/output/2393936 |
Related Public URLs | https://breckon.org/tob...apers/gaus24segment.pdf |
Accepted Conference Proceeding
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PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This accepted manuscript is licensed under the Creative Commons Attribution 4.0 licence. https://creativecommons.org/licenses/by/4.0/
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