Yona Binti Abd Gaus yona.f.binti-abd-gaus@durham.ac.uk
Post Doctoral Research Associate
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
Gaus, Y. F. A.; Bhowmik, N.; Isaac-Medina, B. K. S.; Breckon, T. P.
Authors
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
Citation
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 21, 2024 |
Acceptance Date | Apr 1, 2024 |
Deposit Date | Apr 23, 2024 |
Peer Reviewed | Peer Reviewed |
Keywords | x-ray, thermal, infrared, foundational model, SAM, segmentation, semantic segmentation, instance segmantation |
Public URL | https://durham-repository.worktribe.com/output/2393936 |
Publisher URL | https://ieeexplore.ieee.org/xpl/conhome/1001809/all-proceedings |
Related Public URLs | https://breckon.org/tob...apers/gaus24segment.pdf |
This file is under embargo due to copyright reasons.
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