PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification. (arXiv:2208.13946v1 [cs.CV])

While much of recent study in semi-supervised learning (SSL) has achieved
strong performance on single-label classification problems, an equally
important yet underexplored problem is how to leverage the advantage of
unlabeled data in multi-label classification tasks. To extend the success of
SSL to multi-label classification, we first analyze with illustrative examples
to get some intuition about the extra challenges exist in multi-label
classification. Based on the analysis, we then propose PercentMatch, a
percentile-based threshold adjusting scheme, to dynamically alter the …

arxiv classification semi-supervised thresholding