A Noisy Sample Selection Framework Based on a Mixup Loss and Recalibration Strategy
Abstract
Share and Cite
Zhang, Q.; Yu, D.; Zhou, X.; Gong, H.; Li, Z.; Liu, Y.; Shao, R. A Noisy Sample Selection Framework Based on a Mixup Loss and Recalibration Strategy. Mathematics 2024, 12, 2389. https://doi.org/10.3390/math12152389
Zhang Q, Yu D, Zhou X, Gong H, Li Z, Liu Y, Shao R. A Noisy Sample Selection Framework Based on a Mixup Loss and Recalibration Strategy. Mathematics. 2024; 12(15):2389. https://doi.org/10.3390/math12152389
Chicago/Turabian StyleZhang, Qian, De Yu, Xinru Zhou, Hanmeng Gong, Zheng Li, Yiming Liu, and Ruirui Shao. 2024. "A Noisy Sample Selection Framework Based on a Mixup Loss and Recalibration Strategy" Mathematics 12, no. 15: 2389. https://doi.org/10.3390/math12152389