Framework for Generation and Removal of Multiple Types of Adverse Weather from Driving Scene Images

Weather variation in the distribution of image data can cause a decline in the performance of existing visual algorithms during evaluation. Adding additional samples of target domain to training data or using pre-trained image restoration methods such as de-hazing, de-raining, and de-snowing, to imp...

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Detalles Bibliográficos
Autores principales: Yang, Hanting, Carballo, Alexander, Zhang, Yuxiao, Takeda, Kazuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920915/
https://www.ncbi.nlm.nih.gov/pubmed/36772588
http://dx.doi.org/10.3390/s23031548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920915/
https://www.ncbi.nlm.nih.gov/pubmed/36772588
http://dx.doi.org/10.3390/s23031548

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