Tianshu Guo tianshu.guo@durham.ac.uk
PGR Student Doctor of Business Administration
On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks
Guo, T.; Akcay, S.; Adey, P.; Breckon, T.P.
Authors
Samet Akcay samet.akcay@durham.ac.uk
PGR Student Doctor of Philosophy
P. Adey
Professor Toby Breckon toby.breckon@durham.ac.uk
Professor
Citation
Guo, T., Akcay, S., Adey, P., & Breckon, T. (2018). On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks. In Proc. Int. Conf. on Image Processing (3413-3417). https://doi.org/10.1109/ICIP.2018.8451453
Conference Name | 25th IEEE International Conference on Image Processing (ICIP). |
---|---|
Conference Location | Athens, Greece |
Start Date | Oct 7, 2018 |
End Date | Oct 10, 2018 |
Acceptance Date | May 4, 2018 |
Publication Date | 2018 |
Deposit Date | May 30, 2018 |
Publicly Available Date | Mar 28, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 3413-3417 |
Book Title | Proc. Int. Conf. on Image Processing |
DOI | https://doi.org/10.1109/ICIP.2018.8451453 |
Keywords | raindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification, CNN, deep learning |
Public URL | https://durham-repository.worktribe.com/output/1145404 |
Publisher URL | https://breckon.org/toby/publications/papers/guo18raindrop.pdf |
Files
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Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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