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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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A new method for image classification based on the fusion of multi-level deep learning models

Authors: Jin, Guanghao;

A new method for image classification based on the fusion of multi-level deep learning models

Abstract

***************************************************************************************Basic information=======================================Input the *.pkl files in the directory 'output'Run main.pyThe related parameters are in Config.pyThe following is the introduction of requirements and how to build the data files.***************************************************************************************Hardware and software requirements=======================================CPUSystem Ubuntu 16.04.5 LTSCPU 14 core Intel(R) Gold 6330 CPU @2.00GHzmemory 30GSSD 1.8TPython version  3.8Pytorch 1.11.0-------------------GPUGPU RTX A5000GPU driver 470.82.01GPU memory 24GBCUDA 11.3cuDNN 7.6.3_0 ***************************************************************************************

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Keywords

deep learning models, image classification, multi-level

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average