3 papers
cs.CV2026
Label Shift Aware Adaptation for Online Zero-shot Learning with Contrastive Language-Image Pre-Training (CLIP)
Pengxiao Han, Changkun Ye, Yanshuo Wang +5
Vision-language models like Contrastive Language-Image Pre-Training (CLIP) have been extensively studied in data-scarce scenarios. A particularly challenging and realistic task in…
cs.CV2026
Enhancing Features in Long-tailed Data Using Large Vision Model
Pengxiao Han, Changkun Ye, Jinguang Tong +4
Language-based foundation models, such as large language models (LLMs) or large vision-language models (LVLMs), have been widely studied in long-tailed recognition. However, the ne…
cs.CV2024
Latent-based Diffusion Model for Long-tailed Recognition
Pengxiao Han, Changkun Ye, Jieming Zhou +3
Long-tailed imbalance distribution is a common issue in practical computer vision applications. Previous works proposed methods to address this problem, which can be categorized in…