Efficient Deconvolution Architecture for Heterogeneous Systems-on-Chip

Today, convolutional and deconvolutional neural network models are exceptionally popular thanks to the impressive accuracies they have been proven in several computer-vision applications. To speed up the overall tasks of these neural networks, purpose-designed accelerators are highly desirable. Unfo...

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Detalles Bibliográficos
Autores principales: Perri, Stefania, Sestito, Cristian, Spagnolo, Fanny, Corsonello, Pasquale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321086/
https://www.ncbi.nlm.nih.gov/pubmed/34460742
http://dx.doi.org/10.3390/jimaging6090085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321086/
https://www.ncbi.nlm.nih.gov/pubmed/34460742
http://dx.doi.org/10.3390/jimaging6090085

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