https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/Head https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://www.nanopub.org/nschema#hasAssertion https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/assertion https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://www.nanopub.org/nschema#hasProvenance https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/provenance https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/pubinfo https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/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. https://doi.org/10.48550/arXiv.1703.05175 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 https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/provenance https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-1784-2920 https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/pubinfo https://orcid.org/0000-0002-1784-2920 http://xmlns.com/foaf/0.1/name Anne Fouilloux https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://purl.org/dc/terms/created 2026-04-17T11:22:05.965Z https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://purl.org/dc/terms/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://purl.org/nanopub/x/hasNanopubType http://purl.org/spar/cito/cites https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://purl.org/nanopub/x/wasCreatedAt https://platform.sciencelive4all.org https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE http://www.w3.org/2000/01/rdf-schema#label Paper annotation: Prototypical networks learn a metric space in which classification can be performed by computing distances to prototype representations of each class. https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate https://w3id.org/np/RA24onqmqTMsraJ7ypYFOuckmNWpo4Zv5gsLqhXt7xYPU https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/sig http://purl.org/nanopub/x/hasPublicKey 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 https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/sig http://purl.org/nanopub/x/hasSignature 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 https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE https://w3id.org/sciencelive/np/RA7g02DAdAV4zUy1_u7_lD7GnTDPkbnpyUIsfGDmv-yyE/sig http://purl.org/nanopub/x/signedBy https://orcid.org/0000-0002-1784-2920