Dynamic Image Difficulty-Aware DNN Pruning

Deep Neural Networks (DNNs) have achieved impressive performance in various image recognition tasks, but their large model sizes make them challenging to deploy on resource-constrained devices. In this paper, we propose a dynamic DNN pruning approach that takes into account the difficulty of the inc...

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Detalles Bibliográficos
Autores principales: Pentsos, Vasileios, Spantidi, Ourania, Anagnostopoulos, Iraklis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224338/
https://www.ncbi.nlm.nih.gov/pubmed/37241531
http://dx.doi.org/10.3390/mi14050908

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224338/
https://www.ncbi.nlm.nih.gov/pubmed/37241531
http://dx.doi.org/10.3390/mi14050908

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