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How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval?
We hypothesize that incorporating unlabelled images of novel classes in the training set in a semi-supervised fashion would be beneficial for the efficient retrieval of novel-class images compared to a vanilla supervised representation.
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