Dataset Open Access

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

Ioannou, Yani


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{
  "description": "<p>Models from experiments referenced in the paper &quot;Training CNNs with Low-Rank Filters for Efficient Image Classification&quot;,&nbsp;https://arxiv.org/abs/1511.06744</p>\n\n<p>Model names differ from those in the paper, but the csv files for each set of experiments relates the paper&#39;s name for the model and the real name of the model here:</p>\n\n<ul>\n\t<li>cifarma.csv: Network-in-Network CIFAR10 Models</li>\n\t<li>mitma.csv: MIT Places Models</li>\n\t<li>googlenetma.csv: GoogLeNet ILSVRC2012 Models</li>\n\t<li>vggma.csv: VGG-11 ILSVRC2012 Models</li>\n</ul>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by-nc/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Cambridge", 
      "@type": "Person", 
      "name": "Ioannou, Yani"
    }
  ], 
  "url": "https://zenodo.org/record/53189", 
  "datePublished": "2016-05-27", 
  "keywords": [
    "Deep Learning", 
    "Machine Learning", 
    "Computer Vision", 
    "ILSVRC", 
    "Low-Rank", 
    "Neural Networks", 
    "Convolutional Neural Networks"
  ], 
  "@context": "https://schema.org/", 
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  "identifier": "https://doi.org/10.5281/zenodo.53189", 
  "@id": "https://doi.org/10.5281/zenodo.53189", 
  "@type": "Dataset", 
  "name": "Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models"
}
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