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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.

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Authors

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

Samet Akcay samet.akcay@durham.ac.uk
PGR Student Doctor of Philosophy

P. Adey



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

Accepted Conference Proceeding (1.2 Mb)
PDF

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