Exploring probabilistic models for semi-supervised learning
<p>Deep neural networks are increasingly harnessed for computer vision tasks, thanks to their robust performance. However, their training demands large-scale labeled datasets, which are labor-intensive to prepare. Semi-supervised learning (SSL) offers a solution by learning from a mix of label...
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| Format: | Thesis |
| Sprog: | English |
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2023
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