Wenhai Wan

Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning

2023 · arXiv (Cornell University)

Learning from noisy data has attracted much attention, where most methods focus on closed-set label noise. However, a more common scenario in the real world is the presence of both open-set and closed-set noise. Existing …

HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Long-tail recognition remains challenging for pre-trained foundation models like CLIP, which often suffer from performance degradation under imbalanced data. This stems not only from the overfitting/underfitting issues during fine-tuning but, more fundamentally, from the inherent …