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Jinpeng Zheng

2 accepted papers

2026

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

AAAI 2026technical

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 bias inherited from

Cited by 0SourcePDFScholar
2025

MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse

AAAI 2025technical

Long-tailed (LT) data distribution is common in multi-label image classification (MLC) and can significantly impact the performance of classification models. One reason is the challenge of learning unbiased instance representations (i.e. features) for imbalanced datasets. Additionally, the co-occurr…

Cited by 0SourcePDFScholar