Dataset Open Access

Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models

Ioannou, Yani


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.53189</identifier>
  <creators>
    <creator>
      <creatorName>Ioannou, Yani</creatorName>
      <givenName>Yani</givenName>
      <familyName>Ioannou</familyName>
      <affiliation>University of Cambridge</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>Deep Learning</subject>
    <subject>Machine Learning</subject>
    <subject>Computer Vision</subject>
    <subject>ILSVRC</subject>
    <subject>Low-Rank</subject>
    <subject>Neural Networks</subject>
    <subject>Convolutional Neural Networks</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-05-27</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/53189</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="arXiv" relationType="IsSupplementTo">arXiv:1511.06744</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.635057</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc/4.0/legalcode">Creative Commons Attribution Non Commercial 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Models from experiments referenced in the paper &amp;quot;Training CNNs with Low-Rank Filters for Efficient Image Classification&amp;quot;,&amp;nbsp;https://arxiv.org/abs/1511.06744&lt;/p&gt;

&lt;p&gt;Model names differ from those in the paper, but the csv files for each set of experiments relates the paper&amp;#39;s name for the model and the real name of the model here:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;cifarma.csv: Network-in-Network CIFAR10 Models&lt;/li&gt;
	&lt;li&gt;mitma.csv: MIT Places Models&lt;/li&gt;
	&lt;li&gt;googlenetma.csv: GoogLeNet ILSVRC2012 Models&lt;/li&gt;
	&lt;li&gt;vggma.csv: VGG-11 ILSVRC2012 Models&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
</resource>
206
91
views
downloads
All versions This version
Views 206206
Downloads 9191
Data volume 5.5 GB5.5 GB
Unique views 203203
Unique downloads 4242

Share

Cite as