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Fine-grained classification based on multi-scale pyramid convolution networks
The large intra-class variance and small inter-class variance are the key factor affecting fine-grained image classification. Recently, some algorithms have been more accurate and efficient. However, these methods ignore the multi-scale information of the network, resulting in insufficient ability t...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8270455/ https://ncbi.nlm.nih.gov/pubmed/34242297 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0254054 |
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