Cargando…
Evaluation of Deep Neural Network Compression Methods for Edge Devices Using Weighted Score-Based Ranking Scheme
The demand for object detection capability in edge computing systems has surged. As such, the need for lightweight Convolutional Neural Network (CNN)-based object detection models has become a focal point. Current models are large in memory and deployment in edge devices is demanding. This shows tha...
Autores principales: | Ademola, Olutosin Ajibola, Leier, Mairo, Petlenkov, Eduard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622199/ https://www.ncbi.nlm.nih.gov/pubmed/34833610 http://dx.doi.org/10.3390/s21227529 |
Ejemplares similares
-
Identification of Essential Proteins Based on Ranking Edge-Weights in Protein-Protein Interaction Networks
por: Wang, Yan, et al.
Publicado: (2014) -
Investigating food insecurity, health and environment-related factors, and agricultural commercialization in Southwestern Nigeria: evidence from smallholder farming households
por: Otekunrin, Olutosin Ademola
Publicado: (2022) -
Micro-blog user community discovery using generalized SimRank edge weighting method
por: Qi, Jinshan, et al.
Publicado: (2018) -
HedgeRank: Heterogeneity-Aware, Energy-Efficient Partitioning of Personalized PageRank at the Edge
por: Gong, Young-Ho
Publicado: (2023) -
Differential Evolution Based Layer-Wise Weight Pruning for Compressing Deep Neural Networks
por: Wu, Tao, et al.
Publicado: (2021)