Can Offline Testing of Deep Neural Networks Replace Their Online Testing?: A Case Study of Automated Driving Systems

We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets obtained without involving the DNNs under test, and online testing where DNNs are embedded into a specific application environment and tested...

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Detalles Bibliográficos
Autores principales: Haq, Fitash Ul, Shin, Donghwan, Nejati, Shiva, Briand, Lionel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249720/
https://www.ncbi.nlm.nih.gov/pubmed/35791396
http://dx.doi.org/10.1007/s10664-021-09982-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249720/
https://www.ncbi.nlm.nih.gov/pubmed/35791396
http://dx.doi.org/10.1007/s10664-021-09982-4

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