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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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Detalles Bibliográficos
Autores principales:	Wang, Gaihua, Cheng, Lei, Lin, Jinheng, Dai, Yingying, Zhang, Tianlun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270455/ https://www.ncbi.nlm.nih.gov/pubmed/34242297 http://dx.doi.org/10.1371/journal.pone.0254054

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