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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....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| 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 |