Funder
National Natural Science Foundation of China
Reference72 articles.
1. Albert, P., Arazo, E., Krishna, T., O’Connor, N. E., & McGuinness, K. (2023). Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. In Proceedings of the IEEE/CVF winter conference on applications of computer vision (pp. 118–127).
2. Embedding contrastive unsupervised features to cluster in-and out-of-distribution noise in corrupted image datasets;Albert,2022
3. Albert, P., Ortego, D., Arazo, E., O’Connor, N. E., & McGuinness, K. (2022). Addressing out-of-distribution label noise in webly-labelled data. In Proceedings of the IEEE/CVF winter conference on applications of computer vision (pp. 392–401).
4. Unsupervised label noise modeling and loss correction;Arazo,2019
5. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures;Bergstra,2013
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献