Hybrid Fine-Tuning Strategy for Few-Shot Classification

Few-shot classification aims to enable the network to acquire the ability of feature extraction and label prediction for the target categories given a few numbers of labeled samples. Current few-shot classification methods focus on the pretraining stage while fine-tuning by experience or not at all....

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Detalles Bibliográficos
Autores principales: Zhao, Lei, Ou, Zhonghua, Zhang, Lixun, Li, Shuxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569229/
https://www.ncbi.nlm.nih.gov/pubmed/36254202
http://dx.doi.org/10.1155/2022/9620755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569229/
https://www.ncbi.nlm.nih.gov/pubmed/36254202
http://dx.doi.org/10.1155/2022/9620755

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