A semi‐supervised network based on feature embeddings for image classification
Deep learning approaches, including convolutional neural networks, are suitable for image classification tasks with well‐labelled data. Unfortunately, we do not always have sufficiently labelled data. Recent methods attempt to leverage labelled and unlabelled data using fine‐tuning or transfer learn...
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Veröffentlicht in: | Expert systems 2022-05, Vol.39 (4), p.n/a |
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Sprache: | eng |
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