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@prefix dc: <http://purl.org/dc/terms/> .
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sub:assertion {
  <https://doi.org/10.48550/arXiv.1703.05175> <http://purl.org/spar/cito/hasQuotedText>
      "Prototypical networks learn a metric space in which classification can be performed by computing distances to prototype representations of each class. ";
    <http://www.w3.org/2000/01/rdf-schema#comment> "This foundational few-shot learning method was tested on mini-ImageNet (natural photos). We test whether the learned metric space transfers to Sentinel-2 satellite imagery for land cover classification — a fundamentally different visual domain where rare habitat types have very few labeled examples. " .
  
  <https://w3id.org/np/o/ntemplate/CREATOR> <http://purl.org/spar/cito/quotes> <https://doi.org/10.48550/arXiv.1703.05175> .
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  <https://orcid.org/0000-0002-1784-2920> <http://xmlns.com/foaf/0.1/name> "Anne Fouilloux" .
  
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