[ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/Head", "@graph": [ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q", "http://www.nanopub.org/nschema#hasAssertion": [ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance": [ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo": [ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/pubinfo" } ], "@type": [ "http://www.nanopub.org/nschema#Nanopublication" ] } ] }, { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/assertion", "@graph": [ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/supervised-pretraining", "@type": [ "https://w3id.org/sciencelive/o/terms/FORRT-Replication-Study", "https://w3id.org/sciencelive/o/terms/Replication-Study" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Supervised pretraining as alternative to episodic meta-learning for satellite imagery classification" } ], "http://www.w3.org/2004/02/skos/core#related": [ { "@id": "http://www.wikidata.org/entity/Q110797734" }, { "@id": "http://www.wikidata.org/entity/Q197536" }, { "@id": "http://www.wikidata.org/entity/Q334384" }, { "@id": "http://www.wikidata.org/entity/Q6027324" } ], "https://w3id.org/sciencelive/o/terms/hasDeviationDescription": [ { "@value": "Guo et al. trained Prototypical Networks episodically (40,000 episodes, approximately 3 hours). We replaced episodic training with standard supervised classification (10 epochs, approximately 15 minutes). Same backbone and image resolution. This tests whether the training method matters for cross-domain transfer, or whether the backbone features alone are sufficient." } ], "https://w3id.org/sciencelive/o/terms/hasDiscipline": [ { "@id": "http://www.wikidata.org/entity/Q21198" } ], "https://w3id.org/sciencelive/o/terms/hasMethodologyDescription": [ { "@value": "We trained a ResNet-10 backbone (4.9 million parameters, 224×224 pixel images) using standard supervised classification on mini-ImageNet's 64 object categories for 10 epochs with data augmentation. At test time, we froze the backbone and used Prototypical Network-style nearest-prototype classification on EuroSAT (27,000 real Sentinel-2 satellite patches). This approach requires no meta-learning framework — only standard PyTorch classification training. Evaluation over 100 random 5-way tasks with 5, 20, and 50 labeled examples." } ], "https://w3id.org/sciencelive/o/terms/hasScopeDescription": [ { "@value": "Testing whether standard supervised pretraining — training a model to classify everyday objects using conventional classification — achieves comparable cross-domain few-shot accuracy on satellite imagery to the episodic meta-learning approach used by Guo et al. (2020). " } ], "https://w3id.org/sciencelive/o/terms/targetsClaim": [ { "@id": "https://w3id.org/np/RAC32x9lWdLTKRpiz7utsMmLf0_JzadtA4kCvvbrJ_KK8/supervised-pretraining" } ] } ] }, { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/pubinfo", "@graph": [ { "@id": "https://orcid.org/0000-0002-1784-2920", "http://xmlns.com/foaf/0.1/name": [ { "@value": "Anne Fouilloux" } ] }, { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q", "http://purl.org/dc/terms/created": [ { "@value": "2026-04-18T16:01:09.256Z", "@type": "http://www.w3.org/2001/XMLSchema#dateTime" } ], "http://purl.org/dc/terms/creator": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ], "http://purl.org/dc/terms/license": [ { "@id": "https://creativecommons.org/licenses/by/4.0/" } ], "http://purl.org/nanopub/x/introduces": [ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/supervised-pretraining" } ], "http://purl.org/nanopub/x/wasCreatedAt": [ { "@id": "https://platform.sciencelive4all.org" } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "NP created using Declaring a replication study design according to FORRT" } ], "https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate": [ { "@id": "https://w3id.org/np/RAuLEjPp-4dTvPwMkfHggTto1CgjIftiGRAgHlyeEonjQ" } ] }, { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/sig", "http://purl.org/nanopub/x/hasAlgorithm": [ { "@value": "RSA" } ], "http://purl.org/nanopub/x/hasPublicKey": [ { "@value": "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" } ], "http://purl.org/nanopub/x/hasSignature": [ { "@value": "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" } ], "http://purl.org/nanopub/x/hasSignatureTarget": [ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q" } ], "http://purl.org/nanopub/x/signedBy": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ] } ] }, { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/provenance", "@graph": [ { "@id": "https://w3id.org/sciencelive/np/RAW3U5bhevQdUMc51N_QsJSuCrV8j8QauGh9cU6H0o-2Q/assertion", "http://www.w3.org/ns/prov#wasAttributedTo": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ] } ] } ]