Ensemble diversified learning for image classification with noisy labels
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-10760-z.pdf
Reference54 articles.
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4. Beigman E, Klebanov BB (2009) Learning with annotation noise. In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pp 280–287
5. Brodley CE, Friedl MA (1999) Identifying mislabeled training data. J Artif Intell Res 11:131–167
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