Optimizing FCN for devices with limited resources using quantization and sparsity enhancement

Optimizing FCN for devices with limited resources using quantization and sparsity enhancement

Abstract This study addresses the optimization of fully convolutional networks (FCNs) for deployment on resource-limited devices in real-time scenarios. While prior research has extensively applied quantization techniques to architectures like VGG-16, there is limited exploration of comprehensive la...

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Bibliographic Details
Main Authors: Muhammad Faizan-Khan, Nisar Ali, Raja Hashim Ali, Areej Alasiry, Mehrez Marzougui, Shabbab Ali Algamdi, Yunyoung Nam
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Deep learning
Fixed-point quantization
Fully convolutional network
Sensitivity analysis
Online Access:https://doi.org/10.1038/s41598-025-06848-3
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https://doi.org/10.1038/s41598-025-06848-3

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