Comparison of Different Image Data Augmentation Approaches

Convolutional neural networks (CNNs) have gained prominence in the research literature on image classification over the last decade. One shortcoming of CNNs, however, is their lack of generalizability and tendency to overfit when presented with small training sets. Augmentation directly confronts th...

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Detalles Bibliográficos
Autores principales: Nanni, Loris, Paci, Michelangelo, Brahnam, Sheryl, Lumini, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707550/
https://www.ncbi.nlm.nih.gov/pubmed/34940721
http://dx.doi.org/10.3390/jimaging7120254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707550/
https://www.ncbi.nlm.nih.gov/pubmed/34940721
http://dx.doi.org/10.3390/jimaging7120254

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