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Few-shot contrastive learning for image classification and its application to insulator identification
This paper presents a novel discriminative Few-shot learning architecture based on batch compact loss. Currently, Convolutional Neural Network (CNN) has achieved reasonably good performance in image recognition. Most existing CNN methods facilitate classifiers to learn discriminating patterns to ide...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412402/ https://www.ncbi.nlm.nih.gov/pubmed/34764617 http://dx.doi.org/10.1007/s10489-021-02769-6 |