Exploring Misclassification Information for Fine-Grained Image Classification

Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy. To make use of misclassification information, in this paper, we propose...

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Detalles Bibliográficos
Autores principales: Wang, Da-Han, Zhou, Wei, Li, Jianmin, Wu, Yun, Zhu, Shunzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235489/
https://www.ncbi.nlm.nih.gov/pubmed/34206995
http://dx.doi.org/10.3390/s21124176

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235489/
https://www.ncbi.nlm.nih.gov/pubmed/34206995
http://dx.doi.org/10.3390/s21124176

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