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Co-Training for Visual Object Recognition Based on Self-Supervised Models Using a Cross-Entropy Regularization
Automatic recognition of visual objects using a deep learning approach has been successfully applied to multiple areas. However, deep learning techniques require a large amount of labeled data, which is usually expensive to obtain. An alternative is to use semi-supervised models, such as co-training...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065686/ https://www.ncbi.nlm.nih.gov/pubmed/33916017 http://dx.doi.org/10.3390/e23040423 |