Preprint
Aug 2026
Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation
By separating different pseudo-label reliability regions into specialized adaptation paths, TriNoL improves robustness to noisy supervision while keeping the training cost low.
Xuanyu Liu, Zheng Fang, Hong-Yang He et al.
· 1 citation