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.

doi:10.1109/ICIP.2018.8451453

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

Tianshu Guo tianshu.guo@durham.ac.uk
PGR Student Doctor of Business Administration

Dr Samet Akcay samet.akcay@durham.ac.uk
Academic Visitor

P. Adey

Professor Toby Breckon toby.breckon@durham.ac.uk
Professor

Citation

Guo, T., Akcay, S., Adey, P., & Breckon, T. (2018, October). On The Impact Of Varying Region Proposal Strategies For Raindrop Detection And Classification Using Convolutional Neural Networks. Presented at 25th IEEE International Conference on Image Processing (ICIP)., Athens, Greece

Presentation Conference Type	Conference Paper (published)
Conference Name	25th IEEE International Conference on Image Processing (ICIP).
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	May 31, 2018
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

Accepted Conference Proceeding (1.2 Mb)
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