Small Sample Learning Method Based on Feature Aggregation Network
To use a small number of samples to complete the model training in deep learning,this paper proposes a two-way feature aggregation network and gives a new comprehensive loss function to control the parameter update process of the model.By integrating the loss function,the feature aggregation network...
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| Hoofdauteur: | |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Editorial Office of Computer Engineering
2021-03-01
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| Reeks: | Jisuanji gongcheng |
| Onderwerpen: | |
| Online toegang: | https://www.ecice06.com/fileup/1000-3428/PDF/20210309.pdf |
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