Potential auto-driving threat: Universal rain-removal attack

Severe weather conditions pose a significant challenge for computer vision algorithms in autonomous driving applications, particularly regarding robustness. Image rain-removal algorithms have emerged as a potential solution by leveraging the power of neural networks to restore rain-free backgrounds...

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Detalles Bibliográficos
Autores principales: Hu, Jincheng, Li, Jihao, Hou, Zhuoran, Jiang, Jingjing, Liu, Cunjia, Chu, Liang, Huang, Yanjun, Zhang, Yuanjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448019/
https://www.ncbi.nlm.nih.gov/pubmed/37636071
http://dx.doi.org/10.1016/j.isci.2023.107393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448019/
https://www.ncbi.nlm.nih.gov/pubmed/37636071
http://dx.doi.org/10.1016/j.isci.2023.107393

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