A Novel Deep-Learning Model Compression Based on Filter-Stripe Group Pruning and Its IoT Application

A Novel Deep-Learning Model Compression Based on Filter-Stripe Group Pruning and Its IoT Application

Nowadays, there is a tradeoff between the deep-learning module-compression ratio and the module accuracy. In this paper, a strategy for refining the pruning quantification and weights based on neural network filters is proposed. Firstly, filters in the neural network were refined into strip-like fil...

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Bibliographic Details
Main Authors: Ming Zhao, Xindi Tong, Weixian Wu, Zhen Wang, Bingxue Zhou, Xiaodan Huang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
deep learning
neural network
pruning
target detection
weight quantification
Online Access:https://www.mdpi.com/1424-8220/22/15/5623

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