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Yongqi Yuan

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Open access Jul 2026

CANNE: CLIP-Based ANNE Selection for Noisy-Label Learning

Experimental results on CIFAR-10, CIFAR-100, Animal-10N, and Mini-WebVision, together with additional evaluation under open-set noise, show that the proposed CANNE method achieves competitive performance across diverse noisy-label settings.

Ge Jin, Qian Zhang, Li Huang et al. · 0 citations

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