CMW-Net: an adaptive robust algorithm for sample selection and label correction

A class-aware sample weighting algorithm is developed for general label noise problems. The algorithm can effectively tackle complicated and diverse noisy label tasks, winning the Championship of the ‘Arena Contest’ Track 1 of 2022 Greater BayArea (Huangpu) International Algorithm Case Competition....

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Detalles Bibliográficos
Autores principales: Shu, Jun, Yuan, Xiang, Meng, Deyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
PERSPECTIVE
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246833/
https://www.ncbi.nlm.nih.gov/pubmed/37292084
http://dx.doi.org/10.1093/nsr/nwad084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246833/
https://www.ncbi.nlm.nih.gov/pubmed/37292084
http://dx.doi.org/10.1093/nsr/nwad084

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