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Few-shot learning for biotic stress classification of coffee leaves

In the last few years, deep neural networks have achieved promising results in several fields. However, one of the main limitations of these methods is the need for large-scale datasets to properly generalize. Few-shot learning methods emerged as an attempt to solve this shortcoming. Among the few-s...

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Detalhes bibliográficos
Main Authors: Lucas M. Tassis, Renato A. Krohling
Formato: Artigo
Idioma:Inglês
Publicado em: KeAi Communications Co., Ltd. 2022-01-01
Colecção:Artificial Intelligence in Agriculture
Assuntos:
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2589721722000046
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