Articles with "annotators union" as a keyword



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Deep Learning From Multiple Noisy Annotators as A Union.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3168696

Abstract: Crowdsourcing is a popular solution for large-scale data annotations. So far, various end-to-end deep learning methods have been proposed to improve the practical performance of learning from crowds. Despite their practical effectiveness, most of them… read more here.

Keywords: annotators union; learning multiple; multiple noisy; deep learning ... See more keywords