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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...
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| Vydáno v: | Entropy (Basel) |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8065686/ https://ncbi.nlm.nih.gov/pubmed/33916017 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23040423 |
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